Davide Di Felice's passion for mechanics led him to continue his studies after graduating with his Bachelor's Degree in Mechanical Engineering at the University of L'Aquila. Davide then moved to Emilia Romagna to obtain his Master's Degree in Vehicle Engineering at the University of Modena and Reggio Emilia.
In 2016 Davide began working as an FEA Analyst. From September 2016 to December 2021, he worked at Arbos Tractor SpA, focusing on open-field and specialty tractors.
Subsequently, Davide had a short but intense experience in Bondioli & Pavesi (in the hydraulic sector). He dealt with structural calculations of motors and hydraulic pumps and followed up with a project on noise reduction for hydraulic pumps.
Since September 2021, Davide has been working at CNH Industrial s.p.a. in the tractors section. He now focuses on medium tractor platforms, dealing with and managing structural calculations. In parallel, Davide is the contact person for CFD, Ergonomics, NVH and system modelling activities.
Simulation with Abaqus of two Hydraulic Cylinders Actuating a Three Point Linkage under Torsional Loads
The three-point hitch is a widely used type of hitch for attaching ploughs and other implements to an agricultural or industrial Tractor. It is made up of several components working together; these include the tractor's hydraulic system (hydraulic cylinders are designed to provide hydraulic power to the linkages), attaching points, the lifting arms, and stabilizers.
The linkage system is exposed to various loads as pulling, bending and torsion when the farming equipment is used. This loads, cause fatigue and damage to elements in the system. The present study is focused in introducing a new type of Finite Element modeling of hydraulic cylinders, using Abaqus Fluid Cavity techniques to evaluate the behavior of the 3-point hitch, when stressed by off-center loads due to mounted implements (e.g. rotary mowers or ploughs).
The hydraulic cylinders are modeled through a closed volume (associated to a Fluid Cavity) with a specific hydraulic law that links pressure variation to volume variation. This allowed to simulate the realistic pressure in the lift system and to determine the right stresses on the structure due to torsional load, confirmed by a numerical/experimental correlation.
Martina CONTARDI is a Pipeline Engineer. She works for the Italian multinational oil and gas company for offshore pipeline design, Saipem Spa, based in Fano, Italy. Martina focuses on advanced offshore pipeline analysis, particularly the in-service Buckling and Pipeline Integrity Assessment.
Advanced Modeling of Clamped Mattress for Pipeline Walking Prevention and Mitigation
The Pipe Clamping Mattress (PCM), patented by Shell and commercialized by MMA Offshore, has been proposed as a convenient and effective way to anchor the pipeline against Pipeline Walking phenomenon, either at day one or during operation. The PCM comprises a two-winged mattress fabricated by pivoting two concrete blocks around a central hinge, and which is shaped to engage and clamp the pipe. A log mattress is then positioned to provide additional clamping force. The overall weight of PCM provides the clamping grip required to prevent pipeline slippage as well as the additional axial resistance needed to mitigate or arrest walking.
An advanced FE Model for PCM performance study has been developed in ABAQUS based on the CEL methodology (Coupled Eulerian-Lagrangian). In comparison to more conventional models, this technique models the seabed as a deformable Eulerian domain, in which PCM and pipeline can penetrate. Seabed settlement and soil displacement due to system motion can be fully calculated, estimating the evolution of axial resistance and the growth of berms at the PCM sides.
Born right in the middle of the Italian Motor Valley and as sport cars enthusiast, in 2011 Andrea enrolled at the University of Modena and Reggio Emilia, earning first a bachelor’s degree in Mechanical Engineering and then a master’s degree in Vehicle Engineering.His collaboration with Ferrari started right through his master's degree thesis concerning the development of a 3D CFD methodology for the acoustic characterization of the exhaust of high-performance vehicles.
After graduating in 2017, he joined the company as part of the NVH and Sound Team, dealing with CFD simulations and acoustic measurements aimed at designing and optimizing the sound both outside and inside the cabin.
At the beginning of 2020, Andrea joined the Thermofluid Dynamics Team, in his current position as CFD Aerothermal Engineer. Since then, he has been using SIMULIA PowerFLOW dealing with calculations regarding underhood thermal management, open and closed roof aeroacoustics and unsteady aerodynamics in general.
An Overview of SIMULIA PowerFLOW Applications for Thermal Management and Aeroacoustics at Ferrari
As an iconic OEM, Ferrari has made its mission to constantly push the boundaries and set new standards to deliver outstanding products that are unique in terms of their performance, innovation, technology and design. To continuously convey adrenaline and absolute luxury in a fast-paced world, Ferrari relies both on experimental tests and on increasingly advanced calculation tools. In this scenario, PowerFLOW perfectly fits in with a variety of applications when it comes to dealing with unsteady aerodynamics subjects.
Focusing on thermal management, the ever-increasing specific powers of engines and the more and more challenging packaging due to putting new technologies into place and to abiding by the evolving regulations make it essential to anticipate and fix major issues via simulations way before manufacturing prototypes.
But since Ferrari always strives to convey extreme driving pleasure all around, also aeroacoustics plays a very important role in the design process, even more so considering the electrification of vehicles. Also in this case, PowerFLOW proves invaluable, providing insights on the physics behind noise sources locations and sound waves propagation.
Francesco BUFFOLI is a bachelor student in Aerospace Engineering at Politecnico di Milano. He joined Polimi Motorcycle Factory in 2022, and currently deals with CFD analysis of the prototypes.
External Aerodynamics of a Motostudent Prototype
The Polimi Motorcycle Factory has participated since 2016 in the Motostudent international competition, which involves the design and construction of a prototype racing motorcycle, in both Petrol and Electric categories. The competition consists in a theoretical design presentation phase and a final event held in Spain, at the Aragon circuit, every two years. After winning the Motostudent Petrol World Championship 2018 and Best Industrial Project Electric 2021 awards, we started the production of the prototypes that will participate in the 2023 edition, with the ambition to still compete at the highest level in both categories.
Fundamental to the realization of our prototypes is the computer-aided design phase, verifying through numerical simulations the goodness of the designed products. The team conducts simulations of various types, including CFD and FEA.
We chose PowerFLOW to conduct CFD analysis, with the aim of Cd reduction. PowerFLOW, which allows effortless handling of complex geometries, made it possible to simulate the actual motorcycle geometry. This allowed us to obtain transient and accurate results, useful for understanding the various phenomena involved.
Matteo CHIESA is a bachelor student in Mathematical Engineering at Politecnico di Milano. He has been part of Polimi Motorcycle Factory since 2021, becoming head of CFD simulations in 2022.
External Aerodynamics of a Motostudent Prototype
The Polimi Motorcycle Factory has participated since 2016 in the Motostudent international competition, which involves the design and construction of a prototype racing motorcycle, in both Petrol and Electric categories. The competition consists in a theoretical design presentation phase and a final event held in Spain, at the Aragon circuit, every two years. After winning the Motostudent Petrol World Championship 2018 and Best Industrial Project Electric 2021 awards, we started the production of the prototypes that will participate in the 2023 edition, with the ambition to still compete at the highest level in both categories.
Fundamental to the realization of our prototypes is the computer-aided design phase, verifying through numerical simulations the goodness of the designed products. The team conducts simulations of various types, including CFD and FEA.
We chose PowerFLOW to conduct CFD analysis, with the aim of Cd reduction. PowerFLOW, which allows effortless handling of complex geometries, made it possible to simulate the actual motorcycle geometry. This allowed us to obtain transient and accurate results, useful for understanding the various phenomena involved.
After completing his degree in Aerospace Engineering with a specialization in aerospace structures from the University of Naples Federico II, Giuliano PULLO ventured into the virtual simulation field. He joined BLUE ENGINEERING & DESIGN in 2017 as a CAE Engineer, where Giuliano primarily focused on the fatigue of metal structures. In this role, Giuliano collaborated with several prominent companies in the automotive, aeronautic, railway, and other industrial sectors to design safe structures that adhere to the relevant standards.
Virtual Simulations of the Innovative CRRC ARCO Railway Bogie: A Comprehensive Study using Abaqus and Simpack
The ARCO railway bogie, developed by CRRC Tangshan Co., Ltd, represents a significant leap in railway bogie design, incorporating innovative features and advanced materials to optimize the performance and comfort of railway vehicles. Dassault's SIMULIA software suite, encompassing Abaqus for FEA and Simpack for MBS, played a pivotal role in the virtual simulations of the ARCO bogie project.
The ARCO bogie showcases several groundbreaking features such as a die-cast aluminum frame with flexible joints, two-stage stiffness leaf spring in composite material, axle mounted traction motor without gearbox and sensors for monitoring temperature, vibration, load and dynamic performance aimed at improving its energy efficiency, ride quality, and maintenance requirements.
To assess the structural performance of the ARCO bogie, the CAE team at Blue Engineering utilized Abaqus FEA software to perform simulations according to the EN 13749 standard. The simulations covered both the metallic and composite components of the bogie, providing valuable insights into the structural behavior and stress distribution under various loading conditions. The results demonstrated the ARCO bogie's compliance with the strength requirements and confirmed the effectiveness of its design features in improving structural performance.
In addition to FEA, the CAE team at Blue Engineering employed Simpack MBS software to evaluate the dynamic performance of ARCO bogie according to EN 14363 and EN 12299 standards. By simulating the suspension systems, wheel-rail contact and track geometry several performances can be assessed, such as running stability, derailment safety, ride quality and comfort index. Simpack's advanced simulation capabilities for railway application provided a detailed understanding of the bogie dynamic behavior enabling design optimizations that resulted in superior performance and adherence to the requirements of EN 14363 and EN 12299 standards.
Alfonso CELANO received his Master's Degree in Aerospace Engineering at the University of Naples Federico II. Alfonso is experienced in structural and computational fluid dynamics in the aerospace and automotive field. Since 2013 Alfonso has been a CAE Engineer in BLUE ENGINEERING & DESIGN, and since 2017 he has worked as a Dynamics Specialist in the railway and automotive field.
Virtual Simulations of the Innovative CRRC ARCO Railway Bogie: A Comprehensive Study using Abaqus and Simpack
The ARCO railway bogie, developed by CRRC Tangshan Co., Ltd, represents a significant leap in railway bogie design, incorporating innovative features and advanced materials to optimize the performance and comfort of railway vehicles. Dassault's SIMULIA software suite, encompassing Abaqus for FEA and Simpack for MBS, played a pivotal role in the virtual simulations of the ARCO bogie project.
The ARCO bogie showcases several groundbreaking features such as a die-cast aluminum frame with flexible joints, two-stage stiffness leaf spring in composite material, axle mounted traction motor without gearbox and sensors for monitoring temperature, vibration, load and dynamic performance aimed at improving its energy efficiency, ride quality, and maintenance requirements.
To assess the structural performance of the ARCO bogie, the CAE team at Blue Engineering utilized Abaqus FEA software to perform simulations according to the EN 13749 standard. The simulations covered both the metallic and composite components of the bogie, providing valuable insights into the structural behavior and stress distribution under various loading conditions. The results demonstrated the ARCO bogie's compliance with the strength requirements and confirmed the effectiveness of its design features in improving structural performance.
In addition to FEA, the CAE team at Blue Engineering employed Simpack MBS software to evaluate the dynamic performance of ARCO bogie according to EN 14363 and EN 12299 standards. By simulating the suspension systems, wheel-rail contact and track geometry several performances can be assessed, such as running stability, derailment safety, ride quality and comfort index. Simpack's advanced simulation capabilities for railway application provided a detailed understanding of the bogie dynamic behavior enabling design optimizations that resulted in superior performance and adherence to the requirements of EN 14363 and EN 12299 standards.
Alessandro BON began his career in 2001 as mechanical designer of rolling stock. He worked on bogie design, calculation and type test validation, both laboratory tests and on-track tests. He held, in the years, positions in the bogie design and calculation office. Currently he is the head of the bogie design office of Titagarh Firema S.p.A, in Savona.
Comfort Analysis of the Vinci Intercity Coach using Flexible Multibody Systems Simulation in Simpack (acc. EN 12299)
This multibody systems simulation activity aims to evaluate the VINCI high-comfort passenger coach concept for day and night services. To verify the effectiveness of the solutions adopted and to freeze the main bogie characteristics, the Simpack tool for flexible bodies has been used. The VINCI coach is designed for speeds of up to 200 km/h and is equipped with a bogie with secondary pneumatic suspension. In particular, the aim is to verify that the coach is able to provide the highest level of comfort in accordance with EN 12299. One of the key elements of the analysis is the definition of the vehicle characteristics to ensure that the critical speeds are sufficiently far from the maximum design speed, even without using anti-yaw dampers. The result of this simulation campaign is the subject of this presentation.
Giorgio GALEAZZO started his career in 2001 as a Running Dynamics Analyst, working in various fields ranging from running safety to comfort, on numerous HST and VHST train projects for both Italian and foreign networks. In the following years, he held various positions, both as head of design and calculation areas and as type test engineer. He is currently responsible for the Calculation Department of Titagarh Firema S.p.A., in Savona.
Comfort Analysis of the Vinci Intercity Coach using Flexible Multibody Systems Simulation in Simpack (acc. EN 12299)
This multibody systems simulation activity aims to evaluate the VINCI high-comfort passenger coach concept for day and night services. To verify the effectiveness of the solutions adopted and to freeze the main bogie characteristics, the Simpack tool for flexible bodies has been used. The VINCI coach is designed for speeds of up to 200 km/h and is equipped with a bogie with secondary pneumatic suspension. In particular, the aim is to verify that the coach is able to provide the highest level of comfort in accordance with EN 12299. One of the key elements of the analysis is the definition of the vehicle characteristics to ensure that the critical speeds are sufficiently far from the maximum design speed, even without using anti-yaw dampers. The result of this simulation campaign is the subject of this presentation.
Mauro LOCATELLI, a mechanical engineer from Bergamo, works as an R&D engineer at SAME DEUTZ-FAHR, dealing with 0D, 1D and 3D CFD simulations on components, system and complete machines to improve fuel economy, reliability and performances.
Passionate about maths, music, and the environment, Mauro's studies focused on power production from both fossil and renewable sources, thermodynamics, and fluid dynamics, giving Maurio a chance to appreciate how mathematical language describes real-world physics phenomena.
When finishing his Master's Degree in mechanical engineering, Maurio was awarded "the Best Graduate of the Year" from the Department of Engineering and Applied Physics at the University of Bergamo.
In parallel, musical studies have also been a large share of Mauro's education: in 2019, he graduated with a Master of Arts in Piano Performance. Mauro has enjoyed performing piano recitals, concertos with orchestra and chamber music.
Whenever Maurio has spare time, he's always up for a bike ride in the mountains.
Optimization of the Cooling Pack Performance of a High Range Agricultural Tractor through Techniques of Design of Experiments
Nowadays, the market of off-road vehicles expects a continuous improvement in engine performance while adopting stricter and stricter emission controls. The increased performance comes together with an increment in the heat fluxes through the cooling systems, pushing their design to the physical limits. In tractors, the underhood space is often very tight due to visibility reasons, leaving little room to the cooling system. Additionally, the typical low vehicle speed, high operating temperatures and dirty environment cause extra degradation of cooling performance. This presentation shows a multi-object optimization with PowerFLOW and SIMULIA tools. The study has been performed on the cooling system geometry (fan installation and diameter) to meet SAME DEUTZ-FAHR targets of fan power consumption, efficiency, available shaft power, and also reducing noise.
The study revealed the wide potential for improvement of the starting layout, acting on significative geometric variables; this allows the thermal management to be optimized before prototype testing, and to develop and integrate into the vehicle the best solution for our customer needs in the quickest time possible.
After attending the Liceo Scientifico Amedeo Avogadro in Rome, Mirna POGGI enrolled in Mechanical Engineering at La Sapienza University, graduating in 2017 with a grade of 104/110. Having relocated to Turin, she pursued her further studies by enrolling at the Polytechnic University of Turin in the International Mechanical Engineering program, during which she also spent a semester in Athens for an Erasmus+ scholarship. Mirna graduated in 2019 with a Master's in Mechanical Engineering, receiving a grade of 110 cum laude. In 2020, she began a research scholarship at the Polytechnic of Turin with Professor Salmi, who supervised her Master's thesis. In the same year, Marina started her Ph.D. in Management, Production and Design, where she is now a third-year student.
Thermo-Mechanical Modeling of the Directed Energy Deposition (DED) Process for the Optimization of Deposition Strategies
The directed Energy Distribution (DED) process involves a continuous and subsequent deposition of layers by means of a laser heat source that melts the feedstock material supplied in the form of powders or wires. Laser power, powder flow rate, and travel speed affect temperature gradient distribution and residual stresses in components. Due to this, the main process parameters’ influence on DED process was investigated, followed by fine-tuning.
The main objective of this work was to compare four simulations with different scanning strategies for the to-be-printed component, focusing on deformation results. To achieve this objective, the 3DEXPERIENCE software was essential in simulating DED process accurately. Setting up the Finite Element Method (FEM) model, mesh type, material properties, and boundary conditions followed a strict procedure.
As a final step, once the best case in terms of deformations from a production perspective has been highlighted, the component is subjected to post-processing machining to respect the designed dimensioning and tolerances.
Marco VALLONE, born in Turin, attended for five years at the ITIS Carlo Grassi in Turin until 2009. In 2014 he participated in the 1st level course "Ingegneria Meccanica" at the Polytechnic of Turin. At the end of this course, Marco worked on his thesis on fluid dynamic machines under the supervision of Prof. D. Misul. In 2020 he enrolled in the Master's "Mechanical Engineer" course at the Polytechnic of Turin.
Marco dedicates himself to his Master's thesis work on DED (Directed Energy Distribution) Additive Manufacturing Technology with the help of the IAM center of the Politecnico di Torino and Exemplar s.r.l., where he is currently working as an Application Engineer.
Thermo-Mechanical Modeling of the Directed Energy Deposition (DED) Process for the Optimization of Deposition Strategies
The directed Energy Distribution (DED) process involves a continuous and subsequent deposition of layers by means of a laser heat source that melts the feedstock material supplied in the form of powders or wires. Laser power, powder flow rate, and travel speed affect temperature gradient distribution and residual stresses in components. Due to this, the main process parameters’ influence on DED process was investigated, followed by fine-tuning.
The main objective of this work was to compare four simulations with different scanning strategies for the to-be-printed component, focusing on deformation results. To achieve this objective, the 3DEXPERIENCE software was essential in simulating DED process accurately. Setting up the Finite Element Method (FEM) model, mesh type, material properties, and boundary conditions followed a strict procedure.
As a final step, once the best case in terms of deformations from a production perspective has been highlighted, the component is subjected to post-processing machining to respect the designed dimensioning and tolerances.
In 2006 Lucia SCIALACQUA received her BSc and MSc degrees in Telecommunication Engineering from the University of Siena, Italy, and developed her master's thesis on the Design of Reference Probes for near-Field Antenna Measurements at the Denmark Technical University (DTU) in Lyngby.
In 2007 Lucia joined MVG (formerly SATIMO) as an Antenna Engineer. Afterwards she became a Project Manager on projects involving antenna testing and measurement post-processing. She is now responsible for the MVG software INSIGHT for antenna measurement post-processing.
In 2022 Lucia was elected for 3 years as Chair of the Working Group of Antenna Measurements of the European Association on Antennas and Propagation (EurAAP).
Link between Measurement and Simulation: Applications in Automotive Environments
During the last few years, more and more antennas and electrical devices have been integrated into automotive vehicles. Therefore a detailed analysis of electromagnetic performances in automotive scenarios even in terms of Specific Absorption Rate (SAR) is increasingly in demand. This presentation will demonstrate the SAR assessment on a roof-mounted measured antenna system designed by Calearo and integrated as nearfield source into a portion of a car model simulated with CST.
After receiving his Bachelor's Degree in Mechanical Engineering at the Politecnico di Milano, Andrea VAINI attended the Università di Modena e Reggio Emilia in Modena, completing his studies in 2018 with a Master's Degree in Automotive Engineering. In 2019 Andrea started working at Ferrari S.p.A. as a CAE Mechanical Engineer Consultant in the Hybrid Development Department.
After working for 3 ½ years as a consultant, he joined Ferrari in 2022 and is now in charge of Structural Simulations (static, dynamic, fatigue) to verify and optimize high-voltage batteries, electronic components and electric motors.
Modeling Aluminum Welds with Cohesive Elements: A Numerical-Experimental Correlation and Material Card Definition
In the field of structural engineering, accurate modeling of aluminum welding joints is crucial for reliable prediction of their structural behavior and performance. This study focuses on characterizing the damage behavior of cohesive elements to simulate the nonlinear response of aluminum welds in Abaqus accurately. The research methodology consists of two main stages: experimental testing and numerical modeling.
Experimental tests are conducted on aluminum welded specimens under various loading conditions to investigate their mechanical response and failure behavior.
Based on the experimental findings, a numerical model incorporating cohesive elements is developed in Abaqus Explicit. The cohesive elements are calibrated to catch the right stiffness of the joint and the critical stresses at which the material starts to degrade, leading to the nonlinear behavior observed during physical tests.
The cohesive element approach effectively reproduces the nonlinear behavior of the welds, providing a reliable tool for assessing the structural integrity and performance of aluminum welded joints.
Enrico TONIOLO received the Laurea Master's Degree in Telecommunication Engineering from the University of Padua, Padua, Italy, in 2001.
Since 2002, Enrico has been working as a Research and Development Antenna Engineer at Calearo Antenne SpA. His research areas include the design, measurement and analyses of integrated antennas for automotive: Radio FM, DAB and TV. LTE 3-4-5G, SDARS, GNSS, WIFI, V2X.
Hybrid Method analyses for Antenna's Performances Estimation
Hybrid simulation analyses are presented for estimating performances of small antennas installed on big vehicles. SDARS source antenna in installed on sportive SUV spoiler and simulated combining Frequency domain for the source and Transient for taking into account of the surrounding car-body effect. Comparison are given with measurement and Asymptotic solver. Asymptotic solver is then used for carrying out similar analyses using Truck cabin as platform.
Giuseppe IEROPOLI is a Mechanical Engineer who graduated from Politecnico di Torino with a thesis topic about the comparison of various methods to simulate the Fatigue Life Prediction of an automotive suspension component.
Giuseppe started his professional life as a consultant for important Automotive OEMs working in the field of Virtual Simulations about Structural Strength and Implicit Dynamics topics, mainly dedicated to Durability Analysis. When he moved to CRF, he continued in this role, adding several methodological studies for Fatigue, Elastomers, Digital Signal Processing and Structures in general. After this experience, Giuseppe moved to IVECO S.p.A. (a Company of Iveco Group) as Durability Performance Engineer.
Giuseppe continues his contribution to simulation-related topics, not only for Virtual Approval but also for Methodologies for Fatigue and Structural, with a deep sight into the world of testing.
The curiosity that it is possible to work and calculate with simulation close to reality has driven Giuseppe for over 20 years to continually find new solutions to obtain reliable simulations and good results.
Giuseppe IEROPOLI is a SIMULIA Champion.
Modes-Based Transient Analysis: A Case Study on a Heavy Truck Subsystem
For a reliable Durability Simulation, it is crucial to have a FE model responding very closely to reality, especially when the most relevant phenomena appear in the field of dynamics. Moreover, it is also important to have the time histories “ready to go” for feeding the simulations already usable, avoiding other steps like, for instance, intermediate Multibody Simulations to carry out the loads/perturbations for the analysis of the component to be evaluated.
In this work, it is possible to see the application of the Modes Based Transient Analysis on a subsystem of a Heavy Truck, using the acceleration signals directly measured on the Vehicle over the Proving Ground.
By means of a correlation, it will be possible also to observe that this method has a very high potential not only for the Durability Simulations but also for all the other types of analysis where the dynamic behavior of the analyzed component is relevant.
Carolina MIOZZI received the M.Sc. Degree in Medical Engineering from the University of Rome "Tor Vergata", in 2017, and a Ph.D. in Electronics Engineering (Hons.), in 2021, with her work on the development of a wireless transcutaneous communication system for the control of robotic hand prostheses, through implantable EMG-sensors, under a project supported by the Rehab Technologies IIT-INAIL Lab. Her core expertise includes designing, prototyping, and testing on-skin and through-the-body wireless antenna systems for smart health monitoring and biophysical parameters detection. She is currently the technical responsible for Healthcare projects involving the exploitation of RFID technology in an original way for the digitalization and sensorization of medical wearables and implantable devices. Within the development process of next-generation medical devices, she also supports the pre-industrialization of products and product valorization through patent achievement, and dissemination through pitch, scientific manuscripts, and informative articles.
Antennification of Implanted Orthopedic Prostheses for Early Detection of Deep Infections
Digital Transformation is turning conventional medical devices into data generators, thus leading toward the new paradigm of Digital Health. This trend primarily involves orthopedic prostheses that suffer from severe complications, such as post-surgery infections that could be detected early through built-in sensing features. As orthopedic prostheses are predominantly made of metal, leveraging structural antenna theory allows for conveying of currents induced by an external electromagnetic source to power an RFID-based sensor. The challenge lies in implementing an antenna on a metal prosthesis to ensure through-the-body communication. The use of EM simulation tools plays a crucial role in identifying the best solution for prosthesis antennification, considering the cohabitation with the human body, which has an unavoidable impact on communication performance. Simultaneously, it is essential to understand the effects of geometric changes on the mechanical robustness of the prosthesis. Therefore, utilizing simulation tools that can easily interface with mechanical simulators within the same environment enables multiphysics numerical analysis up to creating the relative Digital Twin.
Vincenzo ROTONDELLA, born and raised in Puglia, moved to Modena to finalize his graduate studies in Vehicle Engineering. He received his Ph.D. “Enzo Ferrari” in Industrial and Environmental Engineering from the University of Modena and Reggio Emilia, in collaboration with Ferrari. Vincenzo’s academic research mainly explored structural simulations through FE method. In 2015 he started to collaborate with Ferrari, focusing on NVH Analysis during the developing phases of the vehicle. Vincenzo is currently Vehicle CAE NVH Manager in the R&D Department, coordinating a team of engineers in order to perform NVH simulations at a Full-Vehicle level.
Numerical Characterization of a Full HVAC System and Geometry Optimization for Noise Reduction
In the automotive industry, cabin comfort problems are becoming increasingly important to passengers and customers. Amongst these, the noise generated by the HVAC unit represents one of the main concerns. In the case of hybrid and electric vehicles, at low speed in particular, other noise sources become irrelevant with respect to the cabin ventilation system making its design even more challenging. While bench tests allow us to measure the noise, they also come with several limitations: they enable us to obtain one SPL at a few given locations without any physical insight into what is generating the noise and how making the identification and fixing the problem a cumbersome task. A methodology is presented here for the aeroacoustics characterization of a full Ferrari HVAC system. Dassault Systèmes Lattice-Boltzmann CFD solver PowerFLOW was used to highlight the main problematic areas. After an initial comparison against the experimental data on the SPL at given locations, geometry modifications provided by a topology optimization software, also made by Dassault Systèmes, were also simulated to reduce the system's overall noise along with its pressure drop.
Marco NICOLETTO works as a system EMC engineer at Thales Alenia Space Italia in Turin. He has worked on the EUCLID project since the design phase, where he is also responsible for the satellite EMC qualification campaign. Starting from July 2023, Marco will support the EMC-related launch activities. In parallel to the EUCLID project, Marco contributed to several EMC-challenging ESA projects for the last 8 years, including JuiCe, THOR, COMET, Ariel and Envision.
At Thales Alenia Space, he focuses on system-level electromagnetic analysis from extremely low frequency up to the Ka-Band. The set of analyses also includes the satellite radio-frequency compatibility and the control of both magnetic and electric fields on board
Electromagnetic Simulations for Scientific Satellites
Electromagnetic simulations are widely used during the scientific satellite design phases to preliminary assess/identify critical areas. In the last years, the extensive use of electromagnetic tools, and the accuracy levels reached by the solvers, helped the industry to reduce the costs associated with overdesign and testing.
During the design phase of a satellite embarking EMC sensitive payloads, CST is used to support the EMC engineer starting from the quasi-static magnetic field analysis up to high-frequency electric field and radio-frequency compatibility. The presentation is focused on recent analysis run for future and ongoing projects dealing with magnetic sensitive payload and K-band High Gain Antenna (HGA).
In detail, CST was used to perform analysis to support the trade-off between standard and self-compensated heaters and to predict the HGA power flux density (PFD) expected during spacecraft tests inside the anechoic chamber. In particular, the prediction of the PFD was related to the safety aspect due to the high gain of the antenna and the relatively high power. The analysis was used to have authorization from the facility to start the test activities.
Matteo CENDAMO received his Bachelor's and Master's Degrees in Telecommunication Engineering with a specialization in Radio-Frequency and Microwave from Politecnico di Milano. He is also licensed as a Professional Engineer. Matteo started to use CST Studio Suite, and electromagnetic simulation software in his previous work experience as a Ground Segment Engineer designing antennas and feeds for satellite communication systems. Matteo has been with the CommScope Research and Development department for about four years, where he is in charge of the design of filters, multiplexers, TMAs, and, in general, passive devices operating in the RF/Microwave frequencies.
Matteo CENDAMO is a SIMULIA Champion.
Tower Mounted Amplifiers from Synthesis to 3D Realization by Means of CST Studio Suite
Tower Mounted Amplifiers (TMA), also known as Mast Head Amplifiers (MHA), are devices that maximize radio sensitivity and improve cell coverage and service quality on a base station site, compensating for feeder losses.
In most communication systems, the transceiver output is connected to the antenna by means of a diplexer that allows both the transmitter and receiver to share a single antenna. Often this antenna is located on the top of a tower, and a connection between the antenna and the radio is needed. This connection, even if realized by means of a high-quality transmission line, introduces additional losses that worsen the overall noise figure of the receiving system. A “masthead” combiner can be mounted at the antenna output (on top of the tower) to compensate for this noise figure degradation. This combiner allows to connect a low-noise amplifier at the antenna output while enabling the transmitted power to arrive at the antenna.
In this presentation, we’ll discuss the design of such a device in the case of a single operating band, from the filter’s synthesis to the 3D modeling, realization, tuning and testing by means of CST Studio Suite.
Edoardo NOVEMBRE graduated from the Polytechnic of Milan in 2021, obtaining a Master’s Degree in Aeronautical Engineering.
From 2021 to 2023, Edoardo worked at the Department of Aerospace Science and Technology of Polytechnic of Milan (DAER) as a research fellow, focusing on the modeling of carbon-carbon (C/C) and polymeric-matrix composites (PMCs). In 2023 he became a Ph.D. student at DAER, with a research program aimed at formulating an integrated numerical–experimental approach for the optimization of the crashworthiness performance of eVTOL aircrafts.
Edoardos's main interests include advanced material modeling and, in general, structural simulation techniques. During his years at DAER, Edoardo had the opportunity to explore these topics by working together with Brembo SpA on modeling C/C damage and failure and with the Helicopter Division of Leonardo SpA on the simulation of PMCs response.
A Modeling Technique to Represent Ply Damages and Delamination in Laminated Composites Based on Smeared Cohesive Zone Models
The application of long fibre-reinforced composites in primary structures of aerospace and high-performance vehicles has to face several critical issues related to the occurrence of multiple types of damage. An important distinction between the damage evolving in the matrix and fibre breakages can be introduced. While fibre breakage cannot be tolerated in structural elements, both matrix damages evolving inside the plies, like transverse cracking, and between the plies, i.e., delaminations, evolve more progressively. In this presentation, an innovative modeling technique will be presented, which is based on a bi-phasic decomposition of the composite material, allowing to describe different types of matrix damage with a unique constitutive law and to develop computationally efficient models. The theoretical aspects of the modeling technique will be discussed, and three application cases will be shown: the evolution of transverse cracking and delamination in tensile glass-reinforced specimens, the interaction between different matrix damages in carbon-reinforced curved elements, and the complex damage evolution in carbon-carbon specimens for high-temperature applications.
Davide TALLINI received the Laurea degree in Telecommunication Engineering from “Sapienza” University of Rome in February 2007. His scientific interests at university focused on electromagnetic theory and applications in a specific topic: scanning antennas and arrays. At the end of 2007, Davide joined CST AG as Application Engineer. His main role at DASSAULT SYSTEMES is the SIMULIA EUROMED Technical Manager focusing on electromagnetic simulation. Davide is also coordinating the development of the Hybrid Solver inside SIMULIA CST Studio Suite.
SIMULIA EM Design boost by 3DEXPERIENCE® Cloud
Nowadays, more and more industries are under pressure due to the shortened time to market.
Electromagnetic engineers have to design their products using 3D simulation tools in a reliable and very fast way but often, they face problems like the following:
- Lack of timely access to the right computer
- Local infrastructure is becoming a blocker
- Not enough capacity
- Ageing IT
- Operating IT becoming more problematic
The SIMULIA Electromagnetic cloud computing roles on the 3DEXPERIENCE® platform represent the solution to the above issues.
SIMULIA Electromagnetic on cloud allows to submit and monitor CST Studio Suite jobs from anywhere.
The Simulation Review application, included in the SIMULIA cloud role, offers web-based visualization of the geometry and simulation results allowing users and
teams a unique way to collaborate around simulation assets. Lightweight visualization of models and results on the 3DEXPERIENCE platform help decision-makers understand simulation results by experiencing them and quickly generating engrossing imagery and data visualization for reports.
Alessandro BELLINI is a Technical Manager and Simulation Specialist with over 16 years of experience in pre- and post-sales activities in the CAD-related market. Alessandro has an in-depth knowledge of simulation products, PDM and implementation projects.
Further, he has a profound experience in manufacturing companies' processes and workflows. 6 Years of experience in managing Resellers in a global environment in Italy, the Balkans, Turkey, Israel, the Middle East and North Africa.
Lorenzo CHIARBONELLO graduated in Mechanical Engineering at Politecnico of Turin in 2004. Since then, he has worked in the simulation field, primarily in durability analysis, as a consultant in IVECO.
2012 Lorenzo joined Pininfarina as the primary reference for NVH analysis on two Mini-BMW cars. In 2016 he moved to OMT, a factory producing and designing large injectors for naval engines, where Lorenzo was a designer and worked on developing new analysis methodologies with Abaqus.
In September 2021, Lorenzo joined Dassault Systèmes as a Process Industry Consultant for the EuroMed region.
Domenica IERO holds a Ph.D. in Computational Electromagnetics. During her academic career, Domenica’s primary research focused on developing antenna array synthesis techniques for satellite and biomedical applications (Hyperthermia), designing wireless power transfer systems and evaluating their interaction with the human body.
Then Domenica faced new industrial challenges from the electromagnetic perspective, such as Autonomous Driving and Powertrain Electrification in the automotive industry, while working as Infotainment & Antenna/EMC Consultant at FCA – Fiat Chrysler Automobiles (nowadays Stellantis Group), EMC Simulation Consultant at Ferrari and, later, as EMC Senior Engineer at Eldor Corporation.
As SIMULIA Industry Process Consultant Senior Specialist at Dassault Systèmes, Domenica supports companies from various industries in improving their design and validation process through electromagnetic simulation.
Alessandro ROSSI holds a Master's Degree in Aerodynamics from the Politecnico di Milano. He joined Dassault Systèmes about five years ago. Alessandro currently focuses on enabling customers in the EuroMed geography with SIMULIA solutions for fluids in the different industrial sectors.
Ross MCLENDON is the Product Manager for Abaqus FEA within the SIMULIA R&D organization. Prior to assuming this role at the beginning of 2023, he worked in R&D as a mechanics developer for the Abaqus solvers and the Material Calibration App for 3DEXPEREIENCE after starting at DS in 2013 as a member of the back-end mechanics support team. He additionally managed the development of the Micromechanics Plugin for Abaqus/CAE, which is used throughout industry and academia for FE-RVE simulation. He holds a Ph.D. in Aerospace Engineering from Texas A&M University, where his research focused on the multiscale material simulation of composites.
R&D Update, Outlook and Roundtable — Structures
The Abaqus finite element solvers are the core technology behind SIMULIA's class-leading realistic structural simulation capability, empowering our customers to address today's most challenging engineering problems using the 3DEXPERIENCE platform or the Abaqus FEA applications. This talk will cover recent updates that have been made in the Abaqus FEA, ranging from new capabilities in coupled field analyses needed to enable the new wave of electrification to performance improvements that enable analysts to rapidly solve ever-larger problems.
Benjamin DUDA is a Senior Technology Manager in the SIMULIA R&D organization, working within the Product Management team. Before that, Benjamin worked as a CFD application engineer at EXA PowerFLOW, which Dassault Systèmes later acquired, and as a post-doc at NASA Langley on scale-resolving turbulence models. He holds a Ph.D. in Aerospace Engineering from ISAE Toulouse but conducted his research on jets in cross-flow on-site at Airbus France.
R&D Update, Outlook and Roundtable — Fluids
The comprehensive SIMULIA Fluids portfolio includes both finite volume Navier-Stokes and Lattice Boltzmann solvers, along with plastic injection molding simulation. All Fluids roles are connected to the 3DEXPERIENCE platform, which enables MODSIM: the tight integration of modeling and simulation. This presentation will describe the new capabilities delivered in the R2023x Fluids releases, enhancing our industry workflow coverage.
After graduating in Civil Engineering at Politecnico di Milano with a specialization in Structures, Omar BETTINOTTI took a deep dive into the field of Computational Mechanics, earning his Ph.D. at Ecole Normale Supérieure de Cachan (France) in 2014 with the manuscript titled “A weakly-intrusive multi-scale substitution method in explicit dynamics”, a topic of interest for the Airbus Vulnerability Tech Center. Omar has since joined Dassault Systèmes, first as a Developer of Abaqus/Explicit in Providence, RI (USA), then, after moving back to France to the Dassault Systèmes Paris Campus, as a Developer of the Modeling Apps in the 3DEXPERIENCE platform.
Since 2020, Omar has been covering the position of Technology Manager in the Multiphysics/Structures Science & Technology team, with the specific mission to explore advanced multi-physics and multi-scale technologies for solid mechanics and surrogate modeling methods for faster insight during the design exploration phase of the product lifecycle.
Physics-Based Design via Machine Learning
Physical simulations encompass multiple scales and multiple physical domains. Large-scale simulations in continuum mechanics are widely used for product design and validation due to their high accuracy. To extract meaningful information from continuum mechanics simulations to logical and functional scales, surrogate models are typically used to reduce computing times from days to seconds, allowing users to evaluate a large number of design parameters.
On the other hand, traditional surrogate models are of low fidelity and return a limited amount of information through key performance indicators. To obtain comprehensive results out of 3D simulations keeping computing times low, we will present a novel approach based on Neural Networks for interactive design exploration in 3D. Multi-physics and multi-scale high-fidelity simulations - from static FEA analysis to dynamics, manufacturing, packaging and structural safety; CFD analysis of compressible fluids — are used as training to generate parametric design data. Data are then treated and used to train fast Neural Networks to act as surrogate models.
Algorithms and architectures of Neural Networks (Fast Forward Networks, Recurring Neural Networks…) are chosen in function of the nature of the physical problem. Models of trained Neural Networks are then deployed in a collaborative environment for interactive design exploration. The proposed approach extends traditional surrogate models to cover transient physical responses and 3D fields, opening a new era for product design.
Steve MULSKI has a Bachelor of Science in Mechanical Engineering and a Master of Science in Design and Manufacturing.
For three years, Steve led a project team for the design, development and implementation of A-frame automated order dispensers for pharmaceutical warehouses.
Steve worked for the SIMPACK Company from 2000 to 2016, where he led the global Sales and Marketing of Simpack (2007-2016) and was the Director of Wind Energy Solutions (2009-2016).
Following the acquisition of the SIMPACK AG by Dassault Systèmes in 2014, he has continued his work with wind energy clients as the company’s SIMULIA IPS, Industry Process Expert – Wind Energy Executive, promoting not just Simpack but all Dassault Solutions.
Steve has been supporting the wind energy sector since 2004.
R&D Update, Outlook and Roundtable — Multibody Systems Simulation
More information coming soon.
Joe AMODEO is the Director for Process Automation & Optimisation within SIMULIA R&D.
Joe graduated from Cambridge University and gained a Ph.D. from Imperial College before joining Jaguar Cars as an Aerodynamicist in 1998. Joe was responsible for the aerodynamic development of a number of Jaguar vehicles, using physical test methods and CFD and eventually became the Technical Specialist for Aerodynamics at JLR. Joe then joined Exa Corporation in 2005 as their first UK employee in order to focus exclusively on CFD with the PowerFLOW toolset.
At Exa Joe was heavily involved in the development and deployment of the PowerFLOW toolset for automotive and motorsport across the world. In 2017 Exa was acquired by Dassault Systèmes as part of their SIMULIA brand. Joe now manages a team dedicated to delivering automated simulation & optimization processes to SIMULIA customers worldwide. These automated solutions typically leverage the unified Modelling and Simulation data model of the 3DEXPERIENCE® platform on the cloud, otherwise known as MODSIM (MODeling & SIMulation).
Leonardo SASSI is a Portfolio Manager Director of the Electromagnetic domain in the SIMULIA brand of Dassault Systèmes, with more than 20 years’ of experience in Electromagnetic (EM) and Electronic Simulations. Leonardo gained his experience in many years of product planning, technical sales and worldwide support in high tech, automotive, aerospace and defense industries. He received the Electronic Engineer Laurea and Ph.D. at Politecnico di Bari, Italy. Leonardo joined CST in 2001 and the SIMULIA brand after Dassault Systèmes acquisition.
R&D Update, Outlook and Roundtable — Electromagnetics
In today's world, where digitalization, communication and electrification are critical industry drivers for sustainable innovation, electronic and electromagnetics product design requires very precise solver capabilities, modeling tools and material representations.
CST Studio Suite 2023 helps to address these challenges by introducing a wide range of new enhancements to increase the versatility and performance in modeling, meshing and solver technologies.
In addition, by leveraging the 3DEXPERIENCE® engineers enable seamless collaboration workflows, even among different teams and departments.
The 3DEXPERIENCE Cloud removes the barrier to access High Performance Computing for simulation and allows user to access CST Studio Suite via web browser.
Highlights:
- Antenna and Microwave Component Design for Communication and Detection System
- Electromagnetic Compatibility Compliance in the Electronics Product Engineering
- HPC and Cloud Computing
Giovanni FIORE is an Industry Process Consultant specialist within the WW Team at Dassault Systèmes. His main activities involve vehicle aerodynamics, indoor air quality, and particle simulations. Giovanni has over 10 years of experience in CFD and aerodynamic correlation activities. He holds a Ph.D. in Applied Aerodynamics.
Accurate Prediction of Electric Vehicle Real-World Range and Comfort Using High Fidelity Digital Development Process
Real-world driving range and occupant comfort for BEVs are becoming more important as demands for battery electric vehicles (BEV) rise. Therefore, an efficient and robust design and verification process is necessary to achieve the design targets.
This presentation demonstrates an innovative BEV digital development process that enables full-digital high-fidelity fast analysis to predict electric vehicle real-world range and occupant comfort. The process leverages high-fidelity 3D computational fluid dynamics, conjugate heat transfer analysis, and full vehicle 0D/1D systems analysis. The process integrates realistic wind aerodynamic efficiency analysis, advanced tire modeling, drive cycle cooling airflow analysis, integrated cabin comfort and HVAC system performance, and full-digital electrified powertrain analysis. In this work, we demonstrate an improved model fidelity compared to that of traditional analysis and a significant reduction in the need for physical testing, therefore enabling a faster and more robust design and leading to better vehicle performance.
Indro studied Mechanical Engineering at Politecnico di Milano and Technische Universität München, where he graduated with a specialization in Ground Vehicles.
Having been one of the first users of PowerFLOW at BMW during his studies, in 2004 Indro joined Exa Corporation in Stuttgart as the first Application Engineer in Germany. As a Technical Account Manager, he soon led a team managing customer implementations, driving growth through process automation and method validation. After two successful years as a Key Account Sales Manager, he then returned to lead the Transportation and Mobility division in Germany and Italy, and grew the team to over 30 engineers.
After Dassault Systèmes’ acquisition of Exa into the SIMULIA brand in 2017, Indro now is the Technical Director of the EuroMED team, responsible for the complete SIMULIA disciplines portfolio in every industry.
Simulation Brand Update & Highlights
Simulation from the SIMULIA brand is absolutely essential to the vision and ambition of Dassault Systèmes. Simulation is a key driver to address the present and future needs of analysts, designers, producers, and consumers. Simulation not only powers product design improvement and cost reduction, but also innovation and sustainability. Hear the latest from our brand executive team, including recent trends, focus topics, positioning, and ambition.
Diletta TABACCHI is an aerospace engineer working at Dassault Systèmes as an Industry Process Consultant Specialist. In the last few years, she has managed on-site consultancy projects. Currently, Diletta is leading the activities for a major agricultural machinery manufacturer.
She focuses on delivering engineering solutions to help customers with their development process, especially on thermal and acoustic aspects.
Diletta has a background in motorsport aerodynamics, both in the CFD and experimental fields. She worked as a CFD Engineer for Dallara, a single-seater car manufacturer, and in a wind tunnel facility as a testing engineer for F1 cars.
Mitigate Fan Noise Problems with SIMULIA PowerFLOW
More information coming soon.
Anton KOGAN graduated in 2015 from the Ben-Gurion University of the Negev University in Israel as an Electrical Engineer with an electromagnetic specialization.
In 2018 Anton joined Dassault Systèmes and is now part of the worldwide technical team as an Electromagnetics Industry Process Consultant. Inspired by technical challenges, especially those involving automation and optimization, Anton is versed in using tools from SIMULIA as well as Python, MATLAB®, VBA and others.
Process Experience Studio for Simulation Democratization
Democratization of simulation is a hot topic that would allow designers to leverage the power of simulation early in the design stage. 3D simulation tools allow for analyzing the performance of very complex systems, but they require substantial experience to be utilized efficiently. With the 3DEXPERIENCE® platform, we can generate web-based dashboards that hide the complexity of simulation setup and allow designers to obtain reliable results for predefined use cases. Typically, a simulation analyst would set up a simulation. Then, he would build a dashboard to interface with the simulation process in the Process Experience Studio and publish this dashboard to colleagues that would like to run this simulation.
Bruno PASSONE graduated in Mechanical Engineering at the University of Rome “La Sapienza” in 2012 after gaining 2 years of experience in a Formula Student team focusing on Vehicle Dynamics and Multibody Simulation and his Master Thesis project at the Virtual Vehicle Competence Center in Graz.
Bruno then joined Bridgestone Technical Center Europe as a Vehicle Dynamics Engineer performing experimental test campaigns and full-vehicle multibody simulations.
At Bridgestone, he later changed his attention to tire structural simulations focusing especially on force and moment and dynamic performances. During his final years at Bridgestone, Bruno worked on the automation and virtualization of R&D processes.
In February 2023, Bruno joined Dassault Systèmes SIMULIA as a Senior Industry Process Consultant, representing the Multibody Dynamics domain in the EUROMED region.