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Development of A new vehicle front sub-frame using Altair Inspire topology optimization
Presentation by Edan Lazerson, CAE Engineer, Plasan.


The Stormrider is a new vehicle which was designed from scratch and developed by Plasan. Altair Inspire was used for Topology optimization In order to find the ""best"" design for the vehicle front sub frame. The available volume (design space), 5 different load cases and target mass were specified and the optimization software calculated geometry to maximize stiffness. The optimization results were complex to manufacture with traditional technologies; the simulation and design teams collaborated on designing a manufacturable front sub frame assembly. The new design was simulated to ensure it will withstand all the required loads. The front sub frame was implemented and tested on the prototype vehicle. The optimized front sub frame proved mechanically sound, while satisfying the mass and geometrical requirements. The early stage optimization reduced the development time, by creating a valid geometry however, the topology to manufacturable design process is not trivial. In this presentation, we will present the mentioned development stages and compare the test results to the simulation predictions.

Presentation at the ATCx in Israel, Netanya on October 30, 2019.


The Increased Importance of BIW & Powertrain Integration in Electric Vehicle Development
Jamie Buchanan, UK Technical Director at Altair presents at the 2019 UK e-Mobility Seminar. Global Review of the EV Architecture. Integration Opportunities (e.g. Battery System Packaging, BIW / Battery Tray Integration)

The Multi Physics Optimization of an e-Motor Rotor
Vincent Leconte, Director of Business Development - EM Solutions at Altair presents at the 2019 UK e-Mobility Seminar. Optimization of e-Motors, Case Studies: Jaguar Land Rover & Porsche. Cooling Simulation of the eMotors.

System Level Optimization of Key Electric Vehicle Powertrain Attributes
Gonçalo Pereira, Principal Applications Engineer at Altair presents at the 2019 UK e-Mobility Seminar. Trade-off Studies between Battery Pack, e-Motor, Range etc. System Model Generation to Explore Sensitivities.

CFD Simulation for Electric Vehicle Powertrain Development
Gareth Lee, Senior CFD Specialist at Altair presents at the 2019 UK e-Mobility Seminar. How multiphase SPH can support cooling and lubrication system development. Improving powertrain efficiency and thermal management for better EV performance.

Driving NVH Development Through Collaborative CAE Simulation & Real-Time Subjective Feedback
Peter Benzie, NVH Technical Specialist at Altair, Finn Kryger Nielsen, Business Development Manager at Brüel & Kjær and Dr. Michael Platten, Product Manager - NVH & Dynamics at Romax, present simulation coupling between e-motor, gears and vehicle BIW and discuss the NVH SQ Simulator – Driving Virtual NVH Test Sign-off.

Utilising the Natural Body Characteristics of EV Platforms to Maximise NVH Performance
Peter Benzie, NVH Technical Specialist at Altair presents at the UK e-Mobility Seminar 2019. Taking Advantage of Large Stiff, Heavy and Well Damped Battery System. Diagnose and Mitigate the EV modes that are Likely to Drive Response Issues.

Accelerating the Development of Highly Optimised EV Composite Structures through Multiscale Technology
James Eves, Team Manager at Altair presents at the UK e-Mobility seminar 2019. Multiscale methods to speed up the composite design process. Providing confidence in early design studies to improve the predictivity of final design evaluations.

The Challenges Associated with the Electrification of Motorsport Platforms
Michael Gascoyne, CEO of MGI Technologies presents at the UK e-Mobility seminar 2019.

Address the Crashworthiness Challenges of Electric Vehicles using Simulation
Peter Snape, Crash Technical Specialist at Altair presents at the UK e-Mobility seminar 2019. Developing a 5-star EV (eg. Specific Legislation FMVSS305). Exploiting Crashworthiness Opportunities of EV Architectures.

The C123 Process - A Rapid Simulation Process to Optimise the Weight & Performance Attributes of a BIW Structure
Dr. Stuart Bates, Concept Technical Specialist at Altair presents at the UK e-Mobility seminar 2019. Rapid Exploration of Packaging Alternatives e.g. Battery System Layout, Battery Frame / BIW Integration. Developing Balance Design (Weight vs Attribute Performance), Target Setting using Simulation.

Transformative Flight Transportation: Challenges Become Opportunities
Advances in energy storage, motor efficiency, and flight control systems have us on the potential cusp of a revolution in air mobility. This comes at a time when many traditional transportation infrastructures are saturated and new modes of mobility are desperately needed. The presentation will provide an overview of recent developments in urban- and extended-air-mobility and discuss the hurdles that must be overcome, not only technical obstacles but also challenges in regulations, societal acceptance, and business. It will provide context with an overview of our own technical challenges and successes, from the imminent Transition® to the aspirational TF-X.


Meet your Energy Efficiency Goals in your Electrification Projects with Simulation
Electrification is one of the main means of creating a low-carbon economy, allowing to use renewable energies and energy efficient technologies. Electric power enters many industries and also impacts our everyday lives, especially with the electric mobility. The use of power electronics and control systems allows offering better reliability, safety and low maintenance costs, and also brings additional innovative functions. Learn how Altair simulation and optimization tools can help designing highly efficient electric machines, as well as advanced control strategies to help you build innovative and energy efficient electric solutions.

Product Development with a Multi-attribute, Single Model Workflow
This presentation discusses an efficient work-flow for multiple attribute analysis and optimization using Altair HyperWorks CAE tools with the HyperMesh pre-processor and OptiStruct solver. A single finite element model has been built with all the three subcases, i.e. NVH, nonlinear strength (permanent set) and fatigue, in the same model as different load-cases. This makes analysis and iteration processes streamlined and efficient, as no model conversion is involved. Further optimization with the required set of responses and constraints are discussed in order to achieve at light weight design with performance target for dynamic stiffness, permanent set and fatigue damage.

Expert Emulation in Crash Optimization using Machine Learning
In optimization it is sometimes desirable, but not possible to define constraints that fully reflects an expert’s requirements. This may lead to a design that does not function as intended. Machine Learning enables the user to set up subjective constraints, ensuring a design that has been trained to replicate the expert’s opinion. In this presentation machine learning is used to ensure axial crush for an automotive front crash event.

Optimizing Powertrain Efficiency and Thermal Management for Improved Vehicle Performance and Energy Efficiency
This presentation focuses on presenting a synergy of different simulation methods and tools towards the accurate prediction of power losses, oil distribution and thermal effects focusing on an automotive and aerospace gearbox example. A number of different approaches are described, including CFD, gear design, bearing design and selection and oil selection, with the aim of maximizing efficiency and ensuring adequate lubrication of critical components and cooling of the powertrain components (e-motor and the associated gearbox)

Empowering Aerodynamic Design Exploration – Volkswagen Group Research Case Study
This presentation highlights Volkswagen Group Research’s novel approach to early-stage aerodynamic performance improvement using a combination of Altair’s simulation technology and VW’s proprietary reduced-order modeling technology. The unique technologies and approach have enabled early-stage design exploration and unprecedented collaboration between stylists and aerodynamicists with the goal of delivering both styling emotion and aerodynamic performance.

Automotive Cellular Antenna Elevation Angle Study
Automotive and smartphone cellular telecommunication system shares the same root. However, some design parameters should have differences because of different design environment and user experience. One of the big design differences can be found on antenna design, especially antenna gain on elevation angle radiation pattern. This presentation is about a study of the elevation angle for better automotive telecommunication systems antenna design.

Upcoming New Wireless Solutions and Applications, including 5G
The rollout of 5G technology is going to be a boon across many industries globally, with the expansion of IoT and connected devices, and where lower latencies are opening the door to time-critical areas like autonomous vehicles, industrial IoT and healthcare. In this presentation we will share new applications and use cases from different major verticals, showing how organizations are designing innovative products using Altair electromagnetic simulation solutions related to antennas, wave propagation modelling, radio network planning and EMC applications. We will also talk about new solutions we have recently launched, and about what is available and coming in 5G.

Human Plus Machine: How Sarcos is Revolutionizing the Future of Work with Industrial Robotics
With the prospect of increasing labor shortages among a wide variety of industries, combined with the significant costs of occupational injuries and the ever-increasing pressure to increase productivity, leading robotics company, Sarcos is in a unique position to deploy industrial robotics designed to increase productivity while eliminating injuries, by augmenting rather than replacing human workers.

Chris Beaufait, COO of Sarcos, discusses the current robotics landscape, why automation is not the right solution to the problems industries are facing, how Sarcos and its product lineup - including the full body, fully powered Guardian XO exoskeleton - will play a critical role in defining the workforce of tomorrow, and his vision for the robotics industry over the next five to 10 years.

An Efficient and Automated Design Strategy for Multi-physics E-Motor Development
This presentation introduces an application of a unique, highly automatic, multi-physics design strategy for E-motors, based on a current program at Mercedes-AMG GmbH. The strategy considers essential development requirements including electromagnetics and thermal requirements, NVH, stress and durability. It accommodates for DOE, multi-objective optimization and design exploration methods to be used to explore and find feasible motor designs. The presentation will show how the strategy adds efficiency to the E-motor development process and how it impacts the total costs of development.

Physics-based Cell and Pack Models for System Simulation
Sendyne, part of the Altair Partner Alliance, provides a virtual, physics-based battery model called CellModô Virtual Battery for real-time co-simulation for individual cells and packs. The presentation will provide a brief overview of the battery model and benefits as well as an example of system simulation using Altair Activate using the Functional Mock-up Interface standard for co-simulation.

Using Machine Learning and Optimization to Develop e-Motor
The Altair Multiphysics platform provides a broad portfolio of solvers and tools to help engineers develop e-motor design requirements by using simulation and optimization methods. This presentation provides examples, using Altair Machine Learning and optimization solutions, of the e-motor requirements by leveraging in data available, which is key for e-motor designers to reduce time-to-market.

Modeling the Thermal Runaway Behavior of Li-ion Batteries upon Mechanical Abused Loading
This presentation demonstrates Altair’s capability of simulating the behavior of a mechanically damaged battery from a cell to a pack integrated in a vehicle, based on collaborative research previously conducted with MIT. An innovative approach of applying electromagnetics loss to predict rising temperature due to short circuit effects during an impact is discussed, along with the development of a software tool, Battery Design, which enables OEMs and suppliers to design battery applications using multiphysics optimization, including mechanical-electrical-electrochemical-thermal behaviors.

The Key Role of Simulation in Development of Aluminum Profiles and Study of Glass Structures in Shorter Design Time
This presentation discusses advancements of the range and quality of products in the last few years at Faraone, thanks to the adoption of both Altair Inspire and SimSolid. SimSolid is a great tool that allows Faraone to study and refine the design of complex structures and a variety of different products, not just glass balustrades. In less than half an hour, it makes it possible to analyze and verify a three-story glass staircase, directly from the 3D CAD file, a simulation that would normally requires about half a day. Additionally, Moreover the original CAD drawing does not need simplification, SimSolid® works directly from the 3D CAD file, allowing fewer issues, and a better, final solution.

Machine Learning in 3D: Teaching Algorithms to Organize, Judge and Generate Parts
This talk presents the challenges of using 3D geometry in machine learning and demonstrates new techniques that Altair is using to teach algorithms about our 3D world.

Dynamical RCS - Helicopters in pulsed Doppler radars image 
Presentation by Tal Oz, Officer, Israeli Air Force.

Many modern radars measure the radial velocity of airborne targets using Doppler shift to distinguish between real targets and clutter (trees, clouds, birds). Radial velocity and Doppler shift are directly related for regular airborne targets such as Boeing 747 but even a standing still helicopter will produce some sort of measurable Doppler shift. It is a computationally difficult task to find the relevant helicopter RCS but a feature provided by Feko, the ""Numerical Green Function"" can dramatically improve computation time of such problems. The lecture will begin with relevant Radar and RCS introduction, some highlights of important Feko features and dynamic RCS results of a CAD model of a helicopter.

Presentation at the ATCx in Israel, Netanya on October 30, 2019.


Shielding Effectiveness Analysis
Presentation by David Aviram , EM Expert in Israel, Altair.


Presentation at the ATCx in Israel, Netanya on October 30, 2019.

Design of Broadband GNSS Antennas
Presentation by Oren Mamane - Afeka College of Engineering at the ATCx in Israel, Netanya on October 30, 2019.

Conceptual Design and optimization of an Electric Motor
Presentation by Koby Ingram, Gevasol BV.

Conceptual Design and optimization of an Electric Motor using Altair Flux and HyperStudy. The customized electric machine with high level demands and efficiency is a challenging topic requiring top level of expertise and best in class simulation tools. This work focuses on the usage of Flux and Hyperstudy as tools for bettering the design and design process of e-motors.

Presentation at the ATCx in Israel, Netanya on October 30, 2019.

From MBD to FSI Complete firearm development
Presentation by Eitan Maler, Head of Simulation Department & by Konstantin Arhiptsov, Simulation Engineer
Israel Weapon Industries (IWI) at the ATCx in Israel, Netanya on October 30, 2019.

These days, in IWI, complete multi physics simulation is an integrated tool in the development of any new product. The motivation is to completely simulate one or two firing cycles as close to reality. First step is the Multi Body Dynamics simulation to check all mechanism are synchronized and work properly. Second is the explicit simulations - calibrating the mechanical properties of the pistol, in that the springs, contacts, materials and gun powder properties based on one firing cycle. The following is to calibrate the Non Rigid Boundary conditions (NRBC’s). This calibration of boundary conditions which are not completely fixed is crucial to understanding the actual strains and stresses on the parts. One of the approaches was to use known data of the stiffness of arm and wrist, implementing this data into a HyperStudy model to compare and calibrate the results based on a slow motion capturing of a real firing. The results are promising, with high accuracy of the behavior compared to a real capturing of the shooting, up to the point of slider getting to the end of its move – where most of the kinetic energy transform into loads on the frame. The following steps will be to calibrate, using the same method, the return of the slider to it’s original position and perform more than one firing cycle.

Hyperworks X Highlights & Future
Presentation by Sergi Chanukaev, Country Managing Director, Altair Israel, at the ATCx in Israel, Netanya on October 30, 2019.


Design for Additive Manufacturing with Topology Optimization
Presentation by Avishai Warszawski, Mechanical Designer at IAI, Israel Aerospace Industries at the ATCx in Israel, Netanya on October 30, 2019.

The goal of this project is to design a lightweight and stiff support bracket for delicate coaxes which are attached to an electronic unit. The machining design of this bracket, although very light in weight, did not provide the required stiffness and was also very expensive to manufacture. The best approach for design was only realized after the AM team was requested to find a solution. Topology optimization with Altair tools was used to define the best shape that provides the best solution. Finally, the bracket was printed in an SLM machine from AlSi10Mg. In the near future it will be qualified by dynamic tests in accordance with the defined environmental loads.

Vehicle Concept Design using Ride & Comfort Requirements for Truck & Trailer System Dynamics
Presenter: Kaustubh Deshpande, Chassis Engineer, Nikola Motor Company


This presentation describes Nikola Motor’s progression of design maturity from 1D CAE to 3D CAD/CAE for chassis system engineering work on their electric trucks. This progression spans from Voice of Customer to Functional Requirements to Functional Deployment to Structural Deployment.

Nikola Motor starts with a ‘First Principles’ model of their truck/trailer vehicle dynamics, then they perform system modeling & simulation with Altair Activate using quarter- and half-truck/trailer models. Block diagrams are created using both signal-based blocks and physical-based blocks (with Modelica).

Through this methodical process, Nikola Motor is able to derive more and better insight earlier in their development process regarding important vehicle characteristics for their trucks – ranging from ‘yaw rate of the tractor for loaded vs. unloaded trailer’ to ‘full-trailer load distribution sensitivity due to fifth wheel location’.

Work is in-progress to tighten the connection between their 1D CAE simulations in Altair Activate™ and their 3D CAE multi-body dynamics simulations.



Heavy Equipment Simulations: Multi-body, Hydraulics & DEM
Presenter: Ronald Kett, Technical Specialist, Altair


For a Stewart-Gough-Platform (Hexapod), various software tools were used to study and design highly dynamic hydraulic drives together with an overall system control. Calculation of Eigenfrequencies, control design and comparison, hydraulic system design, and overall simulation control were done in Altair Activate, the mechanics of the Stewart-Gough-Platform was taken from a CAD model into Altair Inspire Motion. The co-simulation between control + hydraulics and mechanics was performed using Activate and Altair MotionSolve. Altair HyperView and HyperGraph were used to analyze and visualize the results.

With the highly integrated solutions, the results could be achieved within a very short time. The different types of models (linear/simplified/full mechanics/hydraulics) made it possible to start with fast development cycles and finally achieve reliable results.


Real-Time Simulator of a Mobile Crane
Presenter: Arnold Free, Chief Innovation Officer and Co-Founder, CM Labs

Mechatronic systems and off-highway equipment design is rapidly evolving. With advanced control features, operator-assistance systems, and even full autonomy on the horizon, engineers are building complex systems simulation models to better understand their smart machines. Through the use of interactive and immersive VR software, systems models can be derived from high-fidelity engineering simulations and used for operator-in-the-loop, HIL, and SIL testing. Interactive virtual prototypes allow for human-factors test and measuring system performance in hyper-realistic virtual worksites. Simulation is also being used for AI based perception and motion planning in autonomous systems. Sales and marketing departments are now using interactive simulations and visualization to demonstrate products. The value of simulation is expanding rapidly in OEMs. CM Labs Simulations has recently partnered with Altair to bring together engineering simulation and interactive real-time systems models to perform all of the above. Validated multibody systems dynamics models from Altair MotionSolve can be used to build interactive models in Vortex Studio and combined with advanced real-time 3d graphics to create immersive live simulations with human interaction. With real-time simulation, it is also possible to connect to interactive control models and system level multidisciplinary simulations with Altair Activate. The presentation uses a mobile crane model as an example. It will demonstrate the process of translating the engineering models to real-time, creating realistic working scenarios and deploying in immersive simulators for operator in-the-loop testing and system demonstration.

Quadcopters: From System Modeling to Real-Time Simulator
Presenter: John Straetmans, Computer Engineering Student, University of Michigan

This project attempts to build an accurate real-time (RT) drone simulator through the full integration of a 1D functional model of a drone created in Altair Activate®, along with its corresponding geometry, into Unreal Engine via the Functional Mock-up Interface (FMI) standard. Then, VR, peripheral controllers, and other functionalities were added to the representation. This task was accomplished by modifying the Altair RT Vehicle Package, making it able to handle not just vehicles, but any system model located in an FMU for co-simulation, in this case a quadcopter model. Once the FMU containing the Altair Activate® drone model was successfully loaded into Unreal Engine, the tools provided by the application allow additional features to be added, such as VR support. By implementing an FMU, together with its geometry, into Unreal Engine, we can visually analyze the dynamics of the system to further verify the drone model and its performance. In the future, this integration process should be facilitated to automatically load any FMU following just a few steps.

Modelica Library for Real-Time Car Simulator
Presenter: Dario Mangoni, Engineering Professor, University of Parma


In the modern car industry, the advent of hybrid and electric vehicle systems is driving radical changes in the car electronics and software, demanding more and more advanced controlling techniques. Self-stopping, self-starting, ultimately self-driving cars are nowadays possible, because of the multitude of sensors, controller units and actuators making the vehicles “smart”. To simplify and make the interaction between the user and the machine more and more intuitive and user-friendly, a much broader and deeper investigation of different use scenario combined with the human interaction and intervention is critical. In this context, higher-detailed vehicle models are required to provide a valid prototyping tool which can be reliably used to test innovative controlling strategies, such as testing with the Man-In-the-Loop.

The Car Real-Time Modelica library proposed here aims at providing a highly valuable tool for the vehicle control system design and test. The key competitive advantages in this approach are in the Maple model-based compiler for supporting high-level of details modeling; the adoption of the Modelica language which allows a transparent and physical approach to the modeling activities and finally the Activate platform which offers real-time capabilities within an environment meant for the signal-based control design. To graphically validate the library results, a visualization framework for realistic real-time simulations that assures high-fidelity scenario in which to test user experience was also realized.

Multi-body Enhancements & Customer Successes
Presenter: Rajiv Rampalli, Sr VP in HyperWorks Core Development team, Altair


Altair’s products for multi-body system simulation (MBS) – MotionView, MotionSolve, and Inspire Motion – form a key component of multi-disciplinary system simulations. In this presentation, we will look back on several achievements this year, in the form of customer successes as well as recent enhancements to these products which significantly extend the depth and breadth of capabilities.

Some of these application examples also involve connections from MBS to other Altair technology or to 3rd-party technology such as to Altair OptiStruct (for flexible bodies and light-weighting) and Altair Activate (for hydraulics) and EDEM (for discrete element modeling of bulk materials).


System Simulation for HVAC
Presenter: Christian Kehrer, Altair [on behalf of Oliver Höfert, Simulation Engineer at Kampmann]


The increasing virtualization of engineering methods is inevitable. This also holds true for the design of systems that take care for the thermal well-being of humans, e.g. in buildings. If it comes to simulation of so-called HVAC (heating, ventilation, air conditioning) systems, very often high fidelity approaches like CFD are connected to it. In contrary, this contribution illustrates a 1D modeling approach of a heat exchanger in use of Altair Activate.

The presentation explains the implementation of the NTU (Number of Transfer Units) method in a system simulation environment. This includes a short description of the approach itself as well as its current limits. Based on the implementation of a single cell, differing network configurations for the evaluation of use cases of varying complexity will be shown.

ROMs For Battery Cooling Systems
Presenter: Stefano Benanti, R&D materials engineer, Hutchinson


Battery cooling (BC) systems are frequently composed of several parallel branches, each leading to and away from a series of cooling plates. As a correct flow distribution in each branch and overall pressure drop are a key requirement from every customer, numerical computation is extremely important from the first stages of each project: the number of components and their dimensions have a relevant impact on the total cost and it is thus necessary to quickly provide results already in the Request for Quotation (RFQ) phase.The 3D computation of such cases, albeit feasible, takes a relevant amount of time and makes it more costly (both in terms of computational power and of necessary software licenses) to quickly provide results. The goal is then to develop a quicker method to provide results and allow for the necessary optimization cycles.

Altair Activate® was chosen by Hutchinson to develop a library of ROMs representing different circuit components through which is possible to create 1D models able to respond quickly and precisely to such demands.

Integrated Systems Simulation from Requirements
Ed Wettlaufer, Technical Manager Mechatronics Group, Altair [on behalf of NAVAIR]


Government solicitations for proposals, or RFPs, for aircraft and airborne systems require preliminary designs with enough fidelity to accurately predict performance, in order to prove the design's ability to meet the Governments performance requirements. Modern high-performance computing provides the leverage to execute previously expensive analyses in areas such as computational fluid dynamics. The results of these high order analyses can be used to populate parameters in 1D systems models which can be easily coupled to medium order models from other disciplines. These capabilities allow the design engineer to rapidly iterate to levels of model maturity and accuracy not achievable years ago, resulting in high levels of confidence in the designs performance predictions in unprecedented time.

Moving forward, Altair engineers will employ Multiphysics and co-simulation to execute the Engineering and Manufacturing Development phase (EMD) for one subsystem of the preliminary design developed in the afore mentioned pre-acquisition phase.

Multi-Fidelity E-Motor Drive Solution
Presenters: Ulrich Marl, Key Account Manager for Electric Vehicle Motor-Feedback Systems, Lenord+Bauer & Andy Dyer, MBD Sr Technical Specialist, Altair


This presentation shows a modeling process to quantify the position/speed sensor (e.g, encoder) effects on an e-motor, and corresponding control system for a concept traction motor similar to the Nissan Leaf. The integrated solution of the e-drive is carried in Altair Activate as a system builder, using other Altair solutions e-motor solutions in FluxMotor and Flux to generate data for the e-motor itself, as well as the optimal current values for the Field-Oriented Contoller. The inverter is driven with efficient space vector pulse width modulation. The integrated solution also supports different levels of modeling fidelity for the system components, for example for the e-motor where either direct co-simulation with Flux for detailed finite element analysis or a reduced order model (ROM) using look-up tables. In this way, sensor design parameters can be evaluated within an accurate system of the e-drive to improve performance and efficiency.

Solving Challenges in Electric Motor Design
Presenter: Berker Bilgin, Assistant Professor of Engineering (ECE) at McMaster University and co-founder of Enedym Inc.


Electric motors in general, are made of certain parts, such as the stator, rotor, coils and magnets, and mechanical parts. These parts might look simple and bulky from the outside, however, the highly interrelated relationship between the geometry of these parts, characteristics of materials, and the way the current is controlled, defines the cost, size, efficiency, performance, and lifetime of the motor. In electric motor design, multidisciplinary aspects are highly interrelated. The effect of various parameters on the electromagnetic, thermal, and structural performance should be investigated together to come up with an optimized design. This is possible by developing the platforms where the multidisciplinary aspects are modeled in a software environment, as we are doing with Altair software.

Altair MBD: Celebrating Accomplishments, What's Next
Presenter: Michael Hoffmann, Sr Vice President of Math & Systems, Altair


In this presentation, Michael Hoffmann, Sr Vice President, shares the company’s vision & strategy for Altair’s Math & Systems tools for Model-Based Development – based on providing an open platform tightly connecting 0D to 1D to 3D modeling & simulation. At different stages of their product development cycles, engineers can model and simulate their increasingly complex products as multi-disciplinary systems by using equations, block diagrams, and/or 3D CAD geometry.
His scope includes Altair Compose™, Altair Activate™, Altair Embed™, and Altair MotionSolve™ as well as the multi-body motion capabilities in Altair Inspire™. He also spotlights several recent success stories about customers who have used these technologies to drive innovation through simulation.

The Wahoo KICKR Bike: Designing a Ride Experience that Blurs the Line Between Virtual and Reality
As more products enter the market that simulate real world experiences, consumers' expectations are rapidly increasing. To meet these rising expectations the hardware and controls required are becoming more complex while maintaining time to market and cost. To achieve this, efficiencies are required in the control’s development and hardware tools chains. Wahoo Fitness and Altair collaborated to create the new Wahoo KICKR Bike utilizing a Model-Based Design approach to controls development combined with a simulation driven design process to meet the high expectations of the bike trainer community.

Experience the Sound of Your Future EV Before it is Built
Achieving the targeted brand image in a short development cycle time with minimal or zero prototypes is a major challenge faced by EV companies. To overcome this challenge, Altair, HBK and Romax have jointly developed a simulation driven process coupled with capabilities to virtually experience the noise and vibration characteristics, giving engineers a way to obtain real time performance feedbacks as the vehicle is being developed.

This joint presentation on the proposed NVH development process covers a wide range of topics, including benchmarking, target setting, full vehicle and motor gearbox simulation loadcases, troubleshooting, optimization and stochastic analysis, and playback of simulation results for subjective evaluations, with a number of new technologies representing the global best practice in sound and vibration design and development. Join us to explore ways to control the sound and vibration characteristics of the vehicle, achieve the right sound, and avoid common NVH pitfalls, while accelerating time to market utilizing and experiencing virtual NVH prototypes.

Mobilizing Humanity in a New Way
In this presentation, Rob Miller, Chief Marketing Officer, discusses how Hyperloop Transportation Technologies and its partners are building a transportation system that moves people and goods at unprecedented speeds safely, efficiently, and sustainably. Through the use of unique, patented technology and an advanced business model of lean collaboration, open innovation and integrated partnership, HyperloopTT is creating and licensing technologies.

Founded in 2013, HyperloopTT is a global team comprised of more than 800 engineers, creatives and technologists in 52 multidisciplinary teams, with 40 corporate and university partners. Headquartered in Los Angeles, CA, HyperloopTT has offices in Abu Dhabi and Dubai, UAE; Bratislava, Slovakia; Toulouse, France; São Paulo, Brazil; and Barcelona, Spain. HyperloopTT has built a full-scale prototype in Toulouse, France and has signed agreements in the United States, UAE, France, India, China, Korea, Indonesia, Slovakia, Czech Republic, and Ukraine.
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The role of finite element analysis in the development and optimization of novel sports head protection
Head health and safety has been an emergent theme within the scientific community, with an emphasis on mild traumatic brain injury. Protective equipment, such as helmets, provide a method of reducing the forces of impact that are delivered to the brain. However, innovation in this field has been limited and up until recently, the prevalent technology in most helmets on the market consisted in foam cushions and/or inflatable bladders. In fact, in 2006, several researchers estimated that improvements in helmet technology would become limited by the inherent properties of foam materials traditionally used in protective equipment. In 2015, VICIS announced a new impact mitigation concept based on buckling a filament structure. The first production helmet, the ZERO1, used a comprehensive suite of physical tests and additive manufacturing to implement a rapid and iterative design process. Finite element modeling (FEM) was introduced during the development of ZERO1, in a way that complimented the established fast-paced protype and test method.

FEM allowed for accurate simulations in a rapid and repeatable method. In addition to the non-linear geometric and material response, the majority of components in the ZER01 are soft bodies that experience large deformation. HyperMesh and Radioss provided the stable platform to evaluate impact performance as well as part durability. This study reviews the role and implementation of FEM in VICIS's second production helmet, the ZERO1-Youth, and the progression from component-level to system-level simulations.

Empathetic Engineering
Andiamo started with a belief that having a happy family is a basic human right. What happens when you build a company that is totally focused on the outcome of a happier family? What happens when you embed empathy into the engineering process?

Internal Noise Simulation/Emulation
Presenters: Rafael Morais Cunha, CAE Engineer in NVH, FCA Group & Frederico Luiz de Carvalho Moura, NVH CAE Leader, FCA Group


To make the driving experience more comfortable for passengers inside a vehicle compartment, in an increasingly shorter development cycle, predictive methods for the acoustic response characterization are used by vehicle engineering teams. The main purpose is to estimate the sound field in the car cabin.

The FCA NVH team identified in Altair tools an excellent opportunity to develop a complete solution for acoustics simulation. Supported by the Altair technical team, new methodology was created to convert frequency domain analysis into actual sound waves. This method was used to study the NVH steady-state acoustic performances. And development is in progress to simulate an acoustic environment to reproduce all vehicle noises in operational condition.

Using this methodology, it’s possible to virtually understand the acoustic behavior of vehicles, helping to make decisions in early design stages which could save design cost, time and also improve the driving experience for passengers.

The Future of Decision Making
Engineering is in almost everything we touch, a part of every human experience. It’s in the planes and trains we travel in, the cars we drive and the appliances and electronics we use every day.

Engineering advanced products requires a meticulous, Multiphysics development process, in which products are simulated, optimized, challenged and then challenged again, leaving no room for the design to fail.

That’s where Altair and Altair’s technologies make all the difference.

This presentation will illustrate the power of Altair’s simulation technology through several practical examples applied to some of the most common product development challenges in automotive, aerospace, and other industries.

Piloting SimSolid for Fast Directional Feedback to Reduce Product Development Timelines
"The analysis team at CNH is piloting Altair SimSolid™ as a design refinement tool solution for providing fast directional feedback to the engineering team.

CNH has performed some correlation studies against HyperWorks FEA for accuracy, and has established some criteria for identifying the appropriateness of SimSolid in our workflow. It has been determined that good correlation is attainable even with relatively large assemblies. The relative speed in SimSolid vs that of HyperWorks has shown to vary widely from study to study. This presentation shares CNH's experiences and recommendations with this software."

Collaboration between the Design Studio and Aerodynamics – the future
This presentation discusses Altair’s capabilities for analyzing and refining ideas during the concept stage of automotive design. The ultimate objective of all CAE is improved decision making and this is achieved by understanding the multiple behaviors of the widest variety of ideas as soon as possible in the design process. The presentation will illustrate how newly released Altair tools can be used to bridge the gap between Aerodynamics and the Design Studio to understand the performance of ideas as early as the sketch pad, using the skills and resources you already have in house. Altair’s vision for conceptual design in the future will be presented.

Rapid Exploration and Development of Intelligent & Efficient Vehicle Architectures
Altair's C123 process to create Simplified Loadpath Models (SLMs) for advanced body in white (BIW) design concepts provide a highly flexible and rapid platform to explore body structure loadpath alternatives and performance: weight optimization. The C2/SLM modelling process combines higher order Beam and Bush finite elements with coarsened Shell-meshed panels to represent the body structure. FCA US LLC has understood and validated the C2 process for a BIW, and correlated key structural performance metrics to higher order, detailed Finite Element (FE) models. While the benefits of loadpath optimization through Beam element parameter variation is well-documented, and applied extensively for these types of models, this presentation provides a better understanding of the sensitivities and influence of joint stiffnesses on key body structure attributes to promote more intelligent and efficient body structure joint designs.

Multi-Disciplinary Evaluation Of Vehicle Platooning Scenarios
Presenter: Christian Kehrer, Business Development Manager, Altair


This presentation discusses the multi-disciplinary evaluation of truck platooning, with the lead truck sending out acceleration, braking and steering signals for the following trucks to react accordingly. The benefits address safety requirements, fuel savings, traffic capacity and convenience.

The presentation demonstrates why platooning requires a holistic approach in the sense of connecting different modeling and simulation methods for a virtual evaluation of this system of systems.

Exoskeleton Modeling Using MotionSolve & Activate
Presenter: Nino Michniok, Mechanical Engineering Student, University of Kaiserslautern


The first part of the presentation shows the detailed process of building the multibody system of an actuated exoskeleton in MotionView/MotionSolve (MV/MS). The required movements are transferred to the corresponding joints by “Motions”. By this the exoskeleton can Stand Up, Walk diagonally across the floor and Sit Down. In the second part the “Motions” in MV/MS are replaced by controllers (position control) whichdeliver a certain torque to actuate the exoskeleton. The main topic here is the implementation of the co-simulation between Activate and MV/MS. In the end the presentation gives a quick outlook of similar works at the University of Applied Sciences Kaiserslautern in Germany.

Deep Reinforcement Learning for Robotic Controls
Presenter: Dario Mangoni on behalf of Alessandro Tasora, Engineering Professor and Digital Dynamics Lab Leader, University of Parma


This presentation address the use of the Proximal Policy Optimization (PPO) deep reinforcement learning algorithm to train a Neural Network to control a robotic walker and a robotic arm in simulation. The Neural Network is trained to control the torque setpoints of motors in order to achieve an optimal goal.

Socomec & Mahou Case Study - Enabling Connected Products, Solutions for a Connected World
The world is undergoing a digital revolution, with many enabling technologies maturing simultaneously to fuel this disruption. The Internet of Things is one such enabler that is rapidly being adopted by Industrial Equipment OEMs to enable their product lines to provide realtime in-service insights that are helping to transform and evolve their business practices. This presentation demonstrates how the Altair SmartWorks solution package is helping customers such as Socomec (Innovative Power Solutions) and Mahou San Miguel (Brewing) are embracing this digital transformation, and migrating their information systems backbone to a connected services portfolio offering.

Enabling Smart Buildings – Leveraging the Power and Breadth of IoT to Create Simple and Low Cost Smart Building Solutions
Smart Building solutions are traditionally known for being highly complex and costly, limiting their application mainly to large, commercial buildings. Over the past several years, however, rapidly changing technology has allowed thousands of new, powerful, and inexpensive IoT sensors to hit the market — making it possible to implement smart solutions in small and mid-sized buildings which make up 90% of the commercial building stock globally. Learn more about how Altair’s SmartWorks platform is enabling commercial building owner/operators and service providers to create and deploy smart and connected building solutions to affordably and efficiently collect large data sets on their building assets which can be used downstream to optimize the building’s efficiency.

Data Driven Models for HVAC Load Prediction
Consumers electric bills typically have two primary components: energy charges and demand charges. Demand charges are significantly costlier (10 times on average) than normal energy charges because of the inherent production cost to maintain the demand over a certain limit. This presentation proposes a model which can forecast upcoming demand charge events which in turn can help the consumers in optimizing their energy usages and hence help them avoid going to demand charge band.

Smarter ways for Optimizing Product Performance with the help of Altair’s Digital Twin Platform
"This presentation will feature the building blocks that form Altair’s Digital Twin Platform - a comprehensive and flexible toolbox that enables users to build a digital twin that best meets their specific needs.

With the help of the specific use case of TeamTao’s Autonomous Underwater Vehicle (AUV, the talk will “dive deeper” into approaches for making the development of complex systems smarter."

Driving Manufacturing Decisions with Machine Learning
Sheet-metal stamping is one of the most common manufacturing processes in the automotive industry, yet it requires experience to sort-out the most adequate and cost-efficient sub-process for every part. This presentation will demonstrate how Knowledge Studio was used to train a classification algorithm to accurately and consistently predict the correct stamping process for each new part.

Virtual Design and Testing of a Medical Autoinjector
Nolato specializes in polymer-based product design and manufacturing to virtually design a device to automatically inject medicines, such as insulin for diabetic patients. Within this presentation different aspects of the product design cycle are considered, including co-simulations of the device operation during the actual injection process, misuse in case of forceful bending or opening of the loading tray, and drop tests of the autoinjector. Based on Altair’s optimization technology, alternatives for the rib structure of the casing are investigated. To assure manufacturability, molding and assembly simulations are performed to identify and mitigate problems likely to occur throughout the process.


The Convergence of Simulation & Data
Jim Scapa brings more than 35 years of business growth, innovation and cultural stewardship to his role as founder, chairman and CEO of Altair.

Jim and two partners identified a need and formed Altair in 1985 with a focus on the then-new field of simulation using high performance computing. Today, through Jim’s leadership, the company employs more than 2,000 employees with 81 offices across 25 countries.

Altair is a leading global provider of simulation and optimization software, high performance computing technology, product development software and consulting, and data analytics solutions to a broad range of industry sectors including automotive, aerospace, government and defense, heavy equipment, ship building, energy, electronics, life sciences, architecture, finance, and construction. Growth has been achieved both through long-term nurturing of internal technology development, and by strategic acquisitions of complementary technologies which have been successfully integrated into Altair’s offerings.

Jim holds a bachelor’s degree in mechanical engineering from Columbia University and a Master of Business Administration from the University of Michigan.

Identifying and Capturing Business Growth Opportunities with Machine Learning
This presentation describes how machine learning is creating another disruptive methodology for Maxion Wheels as well as the returns the company is already realizing with this new approach in terms of quality, reliability and profitability.

Conductor Impedance and Near Field Simulation using Altair Flux
Altair Flux captures the complexity of electromechanical equipment to optimize their performance, efficiency, dimensions, cost or weight with precision, bringing better innovation and value products to end users. Flux PEEC is a dedicated environment to electrical interconnection modeling for EMC and power electronics applications, from small wire bonds and PCB tracks, up to busbars, power modules and large distribution switchboards. Flux PEEC evaluates parasitic inductances and capacitances, analyse the current distributions and resonances, including skin, proximity and capacitive effects and computation of Joule losses, radiated magnetic fields and Laplace forces.


Fekoによるモーメント法、物理光学法、幾何光学法を用いた散乱断面積計算に関する検討 5-04
株式会社テラバイト
並木 武文 様


今日レーダーは、様々な物体探査や自動車の衝突防止など日常生活で幅広く利用されており、その指標である散乱断⾯積(RCS)をシミュレーションする技術が重要となっている。ここでは、コーナーリフレクターのRCSを電磁波解析ソフトウェアFekoで計算した結果について発表する。計算には3つの手法(モーメント法、物理光学法、幾何光学法)を用い、計算精度と計算コストについて比較し、⼤型物体のRCSを高精度かつ高効率で計算する方法について述べる。

JATC2019 OptiStructを用いた射出成形品の最適ゲート位置探索方法 3-09
ポリプラスチックス株式会社
青木 現 様

ガラス繊維強化樹脂の射出成形用金型の設計の際、ゲート位置に関しては、感と経験にて選定し、多数のゲートを組み合わせ、そり変形解析をして最善となる組み合わせと選択しているが、その根拠となる理論、機構は不明である。また、大型製品の場合、ゲート位置の組み合わせが膨大となるため、ゲート設計には多大な工数がかかっている。今回、OptiStructによる位相最適化を応用して最適なゲート位置となる部分を容易に予測する手法を紹介する。

JATC2019 EV向け異音・低級音ソリューション 1-01
Altair
松本 秀一

今後普及が予想される電気自動車の開発においては、内燃機関が無くなることによって顕在化するきしみ・がたつきなどの異音対策がより重要になります。

Squeak and Rattle Director(SnRD)を用いて、設計初期段階で異音が発生するエリアを特定するプロセスを、ユーザー事例を交えてご紹介します。

JATC2019 シミュレーションを拡張する市民データサイエンス
Altair
小口 暁壮

昨今の企業や組織においてデータの民主化が進み、統計学や分析手法に精通したデータサイエンティストでなくとも、データを最大限に活用することが求められています。Altair Knowledge Studioを利用することで、誰もが簡単に高度な診断的分析あるいは予測・処方的分析機能を駆使することが可能になります。HyperWorksによる有限要素シミュレーションにデータ分析の手法を組み合わせることで、従来は得ることが難しかった知見を獲得する事例をご紹介します。

JATC2019 HyperWorks Xハイライト
Altair
井上 正順

• HyperWorksXのベース機能
• HyperWorks CFD
• HyperWorks Design Explore

JATC2019 設計者CAEにAltair SimSolidが最適な3つの理由 1-08
Altair
小林 泰

設計者が開発上流でCAEを使用する”設計者CAE”の有用性については過去多く語られてきましたが、上手く活用されている報告はほとんどありませんでした。Altair SimSolidは新しい技術により、これまで設計者CAEがうまくいかなかった要因を克服できる製品となっています。なぜ最適な製品なのか? その理由を、結果を得るまでの速さ、経済性、結果の確からしさといった観点からご紹介します。

JATC2019 1Dシミュレーションの複合領域(油圧 / 電子回路 / 制御等)における拡張 - モデルベース開発ツールの新機能
Altair
由渕 稔

Altair Activateは、圧倒的な使いやすさを誇る、モデルベース開発のためのブロックダイアグラム環境です。各領域のModelicaライブラリおよび電気回路のためのSPICEライブラリを、数学処理や制御システム構築のための豊富なシグナルベースライブラリと組み合わせてダイアグラムを構築することにより容易に1Dシミュレーションを実行することが可能です。また、FMIに加えて機構や電磁場ツールとのダイレクトインターフェースを備えており、1D-3Dを統合した複合領域のシステムシミュレーションを実行することも可能です。

今回は、最新バージョンで追加された独自の油圧とSPICEのライブラリを用いた事例を中心に最新機能をご紹介します。また、姉妹製品である数値処理計算環境Altair Composeについても最新機能を併せてご紹介します。

JATC2019 メカ設計を革新するAltair MotionSolveの最適化と最新機能
Altair
池田公輔

  • MotionSolveで何ができる?
  • Altairの考えるマルチボディソリューション = 機構解析 最適化
  • マルチボディ最適化 - 最適的な機構を設計しましょう
  • 実稼働荷重を用いた構造最適化設計 - 最適な機構部品を設計しましょう
  • 連成シミュレーション - 全体性能を事前に確認し、試作を減らしましょう
  • Exampleライブラリ


JATC2019 Altair流体ソルバーの特長と適用分野 4-01
Altair
芝野 真次

JATC2019 CFDのためのクラウドソリューション 4-05
Altair
北邑 剛

JATC2019 5G時代の電波解析に対応!高周波電磁界解析ツールAltair Feko / WinProp新機能 5-01
Altair
チャヨノ リドー

近年のワイヤレス技術の発展においては、コネクテッドカーや5Gを含むいくつかの注目すべきトピックがあります。これら 2 つの技術を実現するには、正確な設計が必要です。

設計の迅速化とコスト削減には、シミュレーションが大変有効な手段となります。Altair FekoおよびAltair WinPropは、電波伝搬シナリオと包括的な3次元電磁界解析ソルバーにより、それらのニーズに応えるための優れたシミュレーション技術を提供します。

本講演では、仮想走行試験 と 5G シミュレーションに関する両製品の新たな機能や事例をご紹介をします。

>> Altair Feko
>> Altair WinProp

JATC2019 低周波領域の磁界、電界、伝熱現象の解析 - Altair Flux新機能 5-05
Altair
山倉 鉄矢

JATC2019 電動機設計のための解析ソリューション 5-06
Altair
山倉 鉄矢

近年盛んになっている電動機の開発には、電流と磁界の磁気的な相互作用や、運転状態における回転子構造に発生する応力分布、電気-磁気-機械エネルギー変換の取り扱いなど、様々な領域の物理現象を取り扱う必要があります。

当講演では、電動機設計に関わるAltairのソリューションと、電動機回転子構造の最適化などの役立つ事例をご紹介します。

JATC2019 NVH Directorを活用したフルビークルNVH解析プロセス 5-08
Altair
松本 秀一

フルビークルNVH解析を実施するためには、膨大なサブモデルのアセンブリや現象に応じた結合特性値の一括変更、解析結果の分析など、複雑な作業が必要になります。

本講演ではNVH Director(NVHD)を使用してフルビークルNVH解析を実施するプロセスとユーザー事例をご紹介します。

>> NVH Direct

JATC2019 HyperWorksを基礎とする船体構造設計支援ツール PrimeShip-HULL のこれまでとこれから 6-01
一般財団法人 日本海事協会
船体開発部
梶岡 尚輝 様

本会は、構造評価ソフトPrimeShip-HULLのプラットフォームとしてHyperWorksを採用して以来、CSR-BC&OTをはじめ、コンテナ運搬船や自動車運搬船向けなど多様な構造評価ソフトを開発してきた。

ソフトの開発にあたっては、船殻設計者からの貴重な意見を反映するとともに、アルテア社の最新技術を導入し、構造設計に関する工数削減を目指している。

本公演では、最新の開発成果を紹介するとともに、今後のPrimeShip-HULLの展望について述べる。

JATC2019 Altair Radioss 2019新機能と最新事例(バッテリー衝突時の発火問題、エアーバッグ折り畳み ほか) 7-01
Altair
田井 秀人

Altair Radiossバージョン 2018~2019.1で強化された機能について解説します。

  • 計算速度向上
  • 時間ステップ改善
  • 新材料、破壊則
  • ALE、複数材料
  • 準静解析

その他、Radiossを使ったエアーバッグ折り畳みデータ作成機能や、バッテリの衝撃発火問題への取り組みをご紹介します。

JATC2019 Altairの疲労解析ソリューション(Altair HyperLife ほか) 7-02
Altair
塚本 昌美

Altairには従来から疲労を評価するためのモデル作成、解析ノウハウがあります。今年リリースしたHyperWorks 2019から、疲労解析ツールAltair HyperLifeが新たに加わりました。本講演では、Altairが提供している高精度な疲労解析のノウハウとHyperLifeの特長をご紹介します。

JATC2019 Altair OptiStruct/HyperStudy 2019新機能 7-03
Altair
山本 哲哉

ユーザー限定資料
*Altair Connectへのログインが必要です

JATC2019 Model Verification Director(MVD)の新機能ハイライト
Altair
ラビ デビッド


JATC2019 非接触による神経活動センサーの実装およびその評価方法の検討 5-04

大森 潔
Altair


近年注目されている運転者の意識障害による交通事故発生の問題を受け、運転者のバイタルサインを検出するセンサーへの関心が高まっている。

本講演では運転者の神経活動に伴う頭部の誘電率の変動を非接触でモニタリングするセンサーに着目し、基礎的なシステムの実装およびその評価方法について検討を行う。視覚誘発電位すなわち時間的に変化する画像パターン提示時に誘発される応答を指標として評価を試みる。

JATC2019 HyperWorksと人工知能(AI)を用いた船体構造の新しい骨組強度評価法の開発 6-08

古野 弘志 様
工学部工学科 船舶工学コース | 長崎総合科学大学


一般に、船体は連続的な構造部材で構成されるため、隣接部材の影響を考慮する必要がある。このような問題は、Lagrangeの未定乗数を用いたエネルギー法を適用することによって比較的容易に解くことができるが、多元連立方程式を解く等の煩わしさがある。しかし、ある種の問題では、荷重とスパンを変数とする簡単な関数でLagrangeの未定乗数を決定することができる。ここでは、Lagrangeの未定乗数に端部固着係数を導入し、HyperWorksの解析結果を学習させた人工知能(AI)を用いてより高精度な評価法を開発する。(今回の発表は、研究の中間報告とさせて頂きます。)

JATC2019 SnRDによるインパネ異音解析の車両開発への適用 1-02

桝井 茜 様
技術研究所 | マツダ株式会社


車両のNVH性能向上のためには、車両走行中に発生する内装部品のたたき音や擦れ音といった異音および低吸音の発生予測は重要な技術である。

そこで、インパネの異音発生リスクを評価するために、Squeak and Rattle Director(SnRD)を用いて検討を行い、過渡応答解析にて発生するモデルのドリフト現象の抑制や、挙動の再現性向上検討を通じて、相対変位を指標として異音発生リスクを見える化した。


JATC2019 HyperWorksソルバープラットフォームAltair SimLabのご紹介 2-01
Altair
依宋 海希

機構解析によるブロック吊り強度解析 6-07
Altair
荒井 太一

弾性体を考慮した機構解析によるブロック吊り強度解析
•ブロック吊り検討における従来手法とその課題
•機構解析によるブロック吊り強度解析の開発
•適用事例

JATC2019 【パネルディスカッション】AIと機械学習とCAE
近畿大学 和田 義孝 様 | マツダ株式会社 川口 克也 様 | オムロン株式会社 岡田 浩 様 | 産業技術総合研究所 人工知能研究センター 木佐森 慶一 様 | Altair Dr. Shidan C Murphy

Lead-Time Reduction at Renault with Altair SimSolid
Renault presented on their use of Altair SimSolid at the HyperWorks 2019 Roadshow in France. They showed a reduction in lead time from weeks to hours with results accuracy within 5% of their standard processes.

Réduction des temps de conception chez Renault grâce à Altair SimSolid
Durant le Tour de France de la simulation numérique Altair HyperWorks 2019, Renault a partagé son expérience de l'utilisation d'Altair SimSolid. Ils ont montré une réduction des délais de quelques semaines à quelques heures avec une précision des résultats de l'ordre de 5 % par rapport à leurs processus standard.

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