Bringing the Future Faster Through Innovation and Analysis, by American Axle & Manufacturing (AAM)
AAM has been providing mechanical drivelines to automotive customers for more than 25 years. As the automobile transitions to electrification, so too must the driveline. AAM has developed a suite of innovative, lightweight, compact and cost-optimized electric drive units and electric beam axles to meet the growing global technology demand as electric vehicles continue to expand over the next decade. Engineering simulation, optimization and validation tools were significant enablers to increase the validation confidence and reduce the time to market for these new products.
Machine Learning and Advanced Digital Gauging for Subtractive and Additive Manufacturing Processes, by Renishaw & Altair
AI-powered real-time melt-pool analytics for accelerated product development and production.
What if you could create 1D simulation models that retain the precision of your 3D analysis while running up to thousands of times faster?
romAI: Leveraging AI to Generate Reusable Real-time Compliant Dynamic Models from Data
Nowadays, many Machine Learning techniques able to identify dynamic models from data are taking hold. But, can we support the learning phase leveraging our expertise obtaining models with better generalization property?
To tackle this need and others we have developed a novel approach, romAI.
This application combines AI and system modeling techniques to generate reusable continuous dynamic models extremely time-efficient, hence used as Reduced-Order Models to speed-up system design and optimization or in Digital Twins/Simulators for real-time applications.
Panel Discussion: Achieving Digital Twins Through Integrated System Simulations, MBSE, and Reduced-Order Modeling
The term “Digital Twins” can mean different things to different people, and often involves the use of different building-block technologies depending on the specific objectives. This panel of experts will share how their technologies extend and complement Altair’s Digital Twin capabilities – in the areas of system simulation software & services, Model-Based Systems Engineering (connecting system-level requirements to system-level simulation results), and reduced-order models (ROMs).
Outsmarting Heavy Equipment Design
Heavy mobile machines consist mostly of production equipment working almost twenty hours a day, year on year, in diverse harsh environments, undergoing extreme loads and overloads. Especially diggers and loaders such as hydraulic excavators, wheel loaders, and backhoes, cater to multiple applications with use cases such as digging, trenching, loading, lifting, breaking, and ripping. Many times, these machines undergo non-standard uses where the machine is subjected to unplanned forces and moments as in the case of self-loading on a trailer, or a bucket hitting a dump truck body. This paper highlights the workflow process and simulation-driven methods to integrate multi-physics with Altair’s industry-leading solutions. The latest generation of Altair simulation tools can capture a wider range of vehicle systems and environmental interactions.
Improving Perceived Quality at CEVT - New Body Evaluation Method Enables Squeak & Rattle Prevention
Improving perceived quality and passenger comfort by minimizing buzz, squeak, and rattle (BSR) and eliminating unwanted noises in a car is a common challenge in vehicle development, especially as these issues are often detected late in the development phase. The new aspect to this challenge is the development of electrical vehicles (EV) that do not have a combustion engine covering up these small noises. Headquartered in Göteborg, Sweden, China Euro Vehicle Technology AB (CEVT) is a subsidiary of Geely Holding Group, a global automotive group including brands such as Volvo Cars, Lotus, and others. CEVT is an innovation center for mobility solutions, focusing on vehicle architecture. To facilitate and improve design choices early in the development phase, CEVT uses Altair solutions and multi-disciplinary optimization for a simulation-driven design approach allowing for rapid design iterations.
The Digital Approach to Industrial Machinery Design
The need to design more complex industrial machinery on shorter timelines
means that companies ask engineers to do more with far less.
Chad Jackson, CEO of Lifecycle Insights, describes the digital approach to industrial machinery design and explains strategies leveraging Simulation, Data Science and High-Performance Computing. He shows how companies creating equipment that increases cycle speed and improves yields in this technical report.
The E-Book covers the following topics:
- THE DEVELOPMENT CHALLENGE OF INDUSTRIAL MACHINERY
- ADDRESSING STRUCTURAL STRESS AND STIFFNESS
- ARCHITECTING AND VALIDATING SYSTEMS DESIGN
- SELECTING THE RIGHT ACTUATION COMPONENTS
- MITIGATING VIBRATION AND EXCITATION
- PLANNING AND VALIDATING CONTROLS DESIGN
- STREAMLINING COMMISSIONING
- MONITORING THROUGH FIELD DATA
- RECAP AND CONCLUSIONS
Battery Part 2: Rapid Battery Layout Optimization using 0D / 1D in a Systems Environment
Andrew Dyer, Senior Tech Specialist at Altair in the US, Gabriele Piombo, EngD Partner with Altair at the University of Warwick, and finally Prof. James Marco, Professor of Systems Modelling and Simulation at the University of Warwick, present - Rapid Battery Layout Optimization using 0D / 1D in a Systems Environment.
Together they will discuss the use of a 1D Systems approach to simulate a battery module. This includes the cell, cooling plate & busbar and is subjected to a typical extreme duty cycle. A typical event is simulated where the maximum allowable temperature is exceeded which triggers an increase in the cooling flow rate. This system is then optimised.
Delivering the Electric Revolution with Intelligent Simulation Technologies
Dr. Royston Jones, CTO and Dr. Anthony Hahnel, Technical Director, give their keynote presentation during the ATCx Driving Innovation in Electric Powertrain 2021.
Sensor Accuracy Drives Performance - Model-Based Development Improves E-Motor Reliability and Efficiency
High accuracy sensors and encoders are integral components of an e-motor drive, greatly impacting the quality and efficiency on the system. A purpose-driven simulation approach is needed to account for all the physical interdependencies within these complex multi-domain systems. Lenord + Bauer worked with Altair to develop a system simulation process for their high-accuracy encoders to understand their impact on the quality and efficiency of the system.
Signal Processing with Altair Compose
Signal processing - a signal describing the evolution of a phenomenon and its field of study - is a very effective way to extract useful information from sensors that cannot be measured, improve transmission, storage efficiency, and signal quality. In this e-book we'll describe how signal processing Altair Compose, an all-in-one math tool that provides various functions across different domains, can be used for signal processing in a wide range of applications.
Next Generation Robotics and Controls Lab
ESS & Altair invites you to an engaging webinar on next-generation Robotics and Controls Lab. In this webinar, we will be demonstrating a unique visual approach to robotics by using a combination of Altair Digital-Twin technology & Altair Hardware-in-Loop Modelling environment. During this webinar, you will learn how to design & develop cutting-edge Robotics applications using Altair’s fail-safe Digital-Twin technology, Acrome Ball-Balancing Table Robot & Altair Model-Based Development tools. By adopting technologies like Digital-Twin, Multi-Domain Modelling and 1D to 3D Co-Simulation using Modelica interfaces and Hardware-in-loop modelling, the Indian R&D sector can eliminate catastrophic failures of systems downstream.
The Future of Smart Devices
Pete Darnell, Vice President, Software Development at Altair discusses why embedded development tools must track the ever-increasing complexity and feature set of microcontrollers as well as demands from new markets like the Cloud based “Internet of Things”. He looks at trends in the microcontroller space and discusses how block diagram model-based development tools can be used to abstract these changes to ease firmware development. He also looks at the thing side of IoT and the challenges of power management to extend battery life and what it will take to provide secure over-the-air firmware updates.
The recording is about 19 minutes long, and was presented at the 2020 Global Altair Technology conference.
Global ATC 2020
TEAMTAO Engineers the Future of Deep-Sea Exploration
At the end of 2015, the XPRIZE foundation launched the Shell Ocean Discovery competition, a three-year global challenge to advance deep-sea exploration using autonomous subsea drones. Teams competed to develop underwater robots that could fully map 500 km2 of seafloor at a 4 km depth in less than 24 hours with no human intervention. One of the competing teams was TEAMTAO, a collaboration of Newcastle University, SMD (Soil Machine Dynamics Ltd), and UK Research and Innovation. Altair joined the project as a technical design partner and provided the team with simulation expertise to virtually simulate, optimize, and test the devices. Altair simulation specialists followed a simulation-driven design approach in order to save on development time and physical prototyping.
How CEVT Improves Vehicle Architecture and Eliminates BSR Through Simulation - Part 2
Improving the ESL using Complete Vehicle Correlation
In the previous webinar, the development of an ESL has been shown based on a complete vehicle simulation. In order to validate this new approach, a comprehensive correlation work has been performed. Using the dynamic distortion in all closure body openings as correlation criteria offer a unique possibility to increase the understanding of the load from both the engine and the wheel suspension.
This webinar presents this correlation where a test vehicle is driven on different test tracks both in reality and virtually.
Presenter: Jens Weber | CAE Engineer, CEVT
Exploring the Design of a Medical System with Rapid 1D System Simulation
For a recent project, Altran, a leading global engineering consultant company, designed a fluidic circuit for a hemodialysis system. One of the main requirements for hemodialysis is to keep the temperature of the dialysis solution stable while it is flowing through the device. To achieve this, they investigated different layouts and optimal parameters for the fluidic system to minimize heat loss. Since the Finite Element model comprised of more than 7 million elements, they decided to explore different, more rapid simulation strategies for the design exploration stage. Reduced Order Models (ROM) were created using Altair Activate® and Compose® and were validated through comparison with existing CFD models. The use of ROMs, with 30x shorter simulation time, was not just ideal for quick optimization of the system, but also allowed Altran Engineers to challenge, and significantly alter the existing design of the circuit by increasing the number of considered layouts by 1000% (from 5 to 55).
How CEVT Improves Vehicle Architecture and Eliminates BSR Through Simulation - Part 1
ESL Development Based on Simulation - Application example
The body stiffness has a major impact on the Squeak & Rattle performance of a car. Since the body structure of electrical/autonomous cars will differ clearly from traditional bodies, an enhanced requirement is needed to limit the distortion in the closure openings.
This webinar presents a new approach of defining a requirement based on closure deformations using an equivalent static load (ESL), which considers both the reduction from a complete vehicle to a BIG and from a dynamic load to a static load. In addition, an example is shown how ESL can be used as input for body optimization.
Presenter: Viktor Jonsson | CAE Engineer (Consultant), CEVT
In this course you will find 6 modules to help you learn how to use Altair Compose for NVH.
Improve Performance of Mechatronics Systems
Complex devices such as surgical robots, autoinjector etc go through several validation and verification phases that can increase product development time. The interconnected devices also pose a challenge for model exchange and collaboration.
This webinar presents Altair’s model-based development (MBD) platform to drive fast development for smart connected systems. Explore more by combining mechanical models with electrical models leveraging multi-disciplinary simulation.
Compose Signal Processing
In this course you will find 12 modules to help you learn how to use Altair Compose for Signal Processing.
Mechatronics Innovations Using Altair Math & System Tools
Winning the innovation race for mechatronics products requires a tool set which can support a multi-disciplinary development process from early concept design up to in-service support.
Altair for Structures Applications
Altair offers industry-leading engineering analysis and optimization tools from simulation-driven design concepts to detailed virtual product validation, and simplified modeling workflows to advanced high-fidelity model building.
The Influence of Sensors on e-Motor Powertrain Performance
High accuracy sensors and encoders are integral components of an e-motor drive, greatly impacting the quality
and efficiency on the system. A purpose-driven simulation approach is needed to account for all the physical
interdependencies within these complex multi-domain systems.
Altair Model-Based Development Customer Stories from 2019 Global ATC
These success stories illustrate how customers are leveraging Altair's Math & Systems technology for Model-Based Development to develop better products, faster. Simulations involve 3D, 1D, and/or 0D modeling approaches based on the integrated use of Altair MotionSolve™, Altair Activate™, and/or Altair Compose™.
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.
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.
Physics-based Cell and Pack Models for System Simulation
Sendyne, part of the Altair Partner Alliance, provides a virtual, physics-based battery model called CellMod Virtual Battery for real-time co-simulation for individual cells and packs. This presentation provides 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.
Model Based Development of Mechatronic Products
Learn how next generation math and system design products can be applied right from concept studies, control design, multi-domain system performance optimization to controller implementation & testing.
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.
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.
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 and 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.
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.
Math, Scripting, Data Analysis & Visualization with Altair Compose
This study guide aims to provide a fundamental introduction into "Math, Scripting, Data Analysis & Visualization" with Compose.
Learn Modeling of Elastoplastic Materials with Altair Compose
The idea behind this guide is to compute the stress state of a material with given strain history data.
System Dynamics and Controls Using Altair Compose
This eBook is aimed at readers who are approaching "System Dynamics and Control Theory" for the first time or have a basic knowledge of this subject. We will provide the reader all the required theoretical knowledge before moving to the practical examples shown. If you are an expert in these fields, feel free to skip the theoretical explanation and focus on the practical examples solved using Altair Compose.
Altair Compose Interface Tour
Introduction to File Menu, Evaluate Toolbar, Command Window, File/Variable/Project Browser, Property Editor, Help and Tutorials.
Product Overview Videos