First Time Right Machine Design with CAE Simulation

Together with cloud providers and our other HPC partners, Intel is driving the performance and flexibility that are critical to running advanced HPC workloads in the cloud. We collaborate across our HPC ecosystem to help cloud providers offer accelerated, secure, and agile environments using our latest technologies, such as Intel® Xeon® processors. As cloud customers continue exploring new possibilities and applications for HPC, Intel is dedicated to facilitating their success. Intel works with HPC partners from various industries to enable forward-thinking cloud use cases such as bursting, AI, and advanced analytics. Learn how Intel collaborates with Public and Private Cloud Service Providers to optimize HPC workloads for fast, cost-effective execution on Intel-based Cloud Instances.

Digital Twin is enjoying a breakthrough, fueled by advances in the sophisticated use of physics-based simulation models of varying fidelities. Connected and informed by data from the field with the help of artificial intelligence, Leonardo S.p.A. validates the performance of product systems virtually in the early stages of design to accelerate the development of their next generation of products.

The door closing feel is directly experienced by the customer and is typically treated as a subjective functional attribute. Objective targets have also been identified and correlated with subjective feelings, even though the final sign-off happens based on subjective assessment. Door Closing is a complex function involving multiple subsystems, their behavior & interface across parts.

Dactem (a DAM group company), developer of specialist test, measurement and assembly solutions for the aerospace industries, presents an overview of the optimization of a thrust balance used for accurate measurements in electrical thruster qualification endurance testing. The presentation will provide details on how a Multiphysics simulation approach was used to find the optimum design taking mechanical, thermal and electromagnetic performance into account. Speakers: Emmanuel Pouleau, CEO, Dactem (a DAM Group company) Pierre Moutet, Engineer, Dactem (a DAM Group company) Duration: 15 minutes

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.

AI-powered real-time melt-pool analytics for accelerated product development and production.

The ever-advancing digitization is being driven by the convergence of simulation, data, and HPC. While virtual methods, interoperable tools, and standardized interfaces become state of the art, the engineers and their management will play a significant role to break down silos and benefit from a Digital Thread. In this fireside chat, we will discuss the importance of people to unleash the potential of Digital Twins, how they can combine the different fields of product development and what is still missing to make the connection.

What if you could create 1D simulation models that retain the precision of your 3D analysis while running up to thousands of times faster?

The Digital Twin concept is broadly applicable to all Altair customer base wanting to develop better products faster. We will explain how to maximize the value you can get from the Altair Platform for Digital Twins. We will illustrate how this solution helps diverse engineering teams develop better, more complex products faster by avoiding work in silos. This will include proven uses cases for the convergence of simulation and 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.

Altair products are quickly evolving into AI-driven products. Starting from the modeling and visualization products, the latest release of Altair HyperWorks includes features like shapeAI, which quickly finds and classifies parts “by shape” inside geometry files or finite element meshes - when you want to locate all of the bolts, shafts, and gears in a complex assembly - by applying machine learning.

At Altair, we see a future where seemingly disparate systems work seamlessly together to help businesses succeed. Where pin-point accuracy and speed mean the difference between winning and losing. The world of data science is intersecting with high-performance cloud computing, artificial intelligence, and IoT, unlocking limitless potential and enabling enterprises of all sizes to compete on a global scale while creating a more sustainable future.

For several years now, co-simulation between Multibody Dynamics (MBD) codes like MotionSolve and Discrete Element Method (DEM) software like EDEM has been used for many applications such as vehicles and material transportation. One missing link has been a realistic tire model that not only could interact with the soil material in a realistic way but also show the influence of varying tire pressure, change in contact area and pressure distribution over said contact area.

For very soft material such as deep mud with a high-pressure tire, using a rigid wheel is a decent approximation. But for tires on harder surface, this method has several short comings. For example, a rigid representation of the tire will have neglectable rolling resistance while the pressure distribution on a real tire has its peak well ahead of the centerline of the tire producing a resisting moment to the motion. The contact patch area will in reality not depend on sinkage, but the sinkage is dependent on the contact area that is dependent on load and internal pressure.

This presentation introduces the new PM-FlexTire model that is integrated in EDEM and will work with MotionSolve. Requirements for creating and correlating the tire model is presented together with several application examples on mud, clay and gravel beds.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Jesper Slattengren, Technical Fellow, Pratt Miller

Duration: 20 minutes

TransAnt GmbH is an Austrian joint venture by ÖBB Rail Cargo Group and voestalpine Stahl GmbH with the aim to bring more efficient and effective transport alternatives on to the market and thus making rail freight transport more attractive and sustainable.

In this presentation the company talks about the development of their freight wagon “TransANT” - a revolutionary platform concept that reacts to the changing needs of their customers. Its 20% lighter underframe creates a payload advantage of up to 4 tonnes per wagon. Industry-specific wagon bodies and straightforward swapping make for ideal logistics solutions - adaptable to every type of logistical requirements. Using Altair software, the company is currently making TransANT assemblies ready for serial production.

Presented at the ATCx Heavy Equipment in May 2021.

Speakers: Anja Schmid, Key Account Manager & Andreas Tomschi, Development Engineer, TransAnt

Duration: 20 minutes

The chassis of a the RAVO 5 iSeries street sweeper has been a proven design that has remained relatively unchanged since the mid-60’s. However, due to increasing weight and size requirements, as well as possible changes to the driving mechanism, an overhaul of the chassis platform is needed. To develop a new (modular) chassis, which is suited for upcoming and future changes, a CAE-driven design approach is chosen, which is being performed by VIRO. When using computer-aided engineering (CAE), the chief problem is to define or estimate the acting loads and / or boundary conditions on a structure. In case such a structure is dynamically loaded, such a determination is further aggravated. Furthermore, if that structure is a chassis, a wide range of load cases and interconnected systems (e.g. tyres, suspension) effect the multifaceted loading behavior.

By utilizing multibody dynamics (MBD) and creating a MBD-model of the current street sweeper, a first step is taken towards developing a new (modular) chassis. The calculated loads and moments acting on the suspensions and chassis are quantified for e.g. several worst case scenarios, which allows for well-founded decisions in relation to the new design. Furthermore, these load conditions can be used as input for future topographic optimizations and / or stress analyses. An important part, when creating a CAE-model, i.e. in this case a MBD-model, is the validation of that model by experiments and /or analytic formulations. Consequently several calculated load cases have been tested in the field and in mutual cooperation. A subsequent verification shows that the measured accelerations correlate well with the calculated accelerations from the MBD-model.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Thijs Romans, Group Leader Engineering Analysis, VIRO

Duration: 20 minutes

Several OEMs currently face the challenge of information silos due to poor integration of models across the product life cycle. Furthermore, there is limited reuse of models between programs and the variation of modeling maturity across various Engineering disciplines results in lack of traceability. In this short presentation, we will look at solutions and workflows that leverages a systems model as a common language of communication while facilitating various types of real time dashboards and visualization to help understand and optimize the entire Mechatronic system performance.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Keshav Sundaresh, Global Director – Smart Systems & Mechatronics, Altair

Duration: 20 minutes

In order to ensure the safety of passengers and on-board personnel, finite element calculation is used at SNCF as part of the acquisition, renovation / modernization projects of trains as a decision aid and preparation for testing approval of trains. This is the main case of the mechanical strength of bolted and screwed assemblies, and more and more of the integration of composite materials into rolling stock structures in order to make them more capacious and less energy intensive. To do this, SNCF is developing methodologies to make the modeling of bolted assemblies and composite parts more reliable, as well as topology optimization. The tools of the HyperWorks suite, and in particular, the OptiStruct solver, allow SNCF to represent its types of materials, as well as these phenomena (bolted assemblies + topology optimization).

Presented at the ATCx Heavy Equipment in May 2021.

Speakers: Patrick Jumin, Derik Joël Kengne Tapchom & Karim Slimani, SNCF

Duration: 20 minutes

Controller strategy expert Lorenzo Moretti presents how to improve Cobot collaboration. In the context of virtual commissioning, he discusses how more meaningful controller design is possible with realistic plant models.

Dr. Fatma Kocer VP, Engineering Data Science at Altair showcases the impact of AI in development environments. In particular on how CAE tools will evolve and Design Exploration is taken to the next level.

Brett Chouinard, President and COO of Altair discusses Development challenges in Industrial machinery and illustrates how Altair's scalable simulation solutions provide the environment for simulation-driven innovation and how machine learning expands the capabilities furter.

Benoit Pelourdeau presents how Stanley Robotics SAS drives the design process with simulation, to develop the world's first robotic car storage service. Learn from him how the interdisciplinary mechatronic product development team succeeds with accurate virtual prototypes.

Daniel Jauss, Application Engineer CAE, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how to improve system understanding with dynamic motion analysis to Identify real behavior of the machine assembly and Identify peak loads.

Simon Zwingert, Technical Consultant, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how, to improve the design with studies and the design exploration on the complete assembly to perform weld line optimization.

Daniel Jauss, Application Engineer CAE, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how to realize vibration reduction with topology optimization performing a modal analysis & Optimization of a machine portal, identifies economic manufacturing alternatives, and conducts a topology optimization for sheet metal constructions.

Christian Kehrer, Business Development Manager System Modelling, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how CNC control optimization is performed to realize toolpath error correction of a CNC milling machine, with system simulation and how more effective controller design with realistic plant models is realized.

Indradev Babu, Managing Director, UCAM PVT LTD, explains how he developed a CNC Jobshop to the largest manufacturer of CNC Rotary tables—presenting different development examples, he explains how Simulation Driven Design helps him to differentiate and what simulation Strategies he implements in the customer-centric development for the following generation Machine Tools at UCAM.

Industry expert Dennis Baum presents how Weber Maschinenbau applies simulation, how simulation can be used along product lifecycle and which benefits arise to customers and internal processes.

Industry Innovator Luca Gatti Luca invites you to a virtual coffee break, to see why it is necessary to model and deeply study the physics behind a cup of coffee. Learn why Gruppo Cimbali SpA is creating digital twins of their coffee machines to fully embrace the digital transformation.

Mayer & Cie. GmbH & Co. KG sets simulation as a central element of the digital development strategy and leverages virtual product development for more efficient machine generations. Marcel Wohlleb presents simulation applications and illustrates how customers of the world market leader in circular knitting benefit.

Mr. Vijay Zala and Mr. Pragnesh Zala present development methodologies for new economic machine generations and showcase why Jyoti CNC Automation Ltd. sets simulation at the core of the development strategy.

A recording of the electric motor development panel discussion as part of the ATCx Electric Powertrain virtual event in March 2021. The panel features insight from Cleef Thackwell, Lead Motor Design Engineer at Jaguar Land Rover; Dr. Lars Fredriksson, VP Global Automotive at Altair; James Eves, Team Manager at Altair; Jonathan Stevens, Senior Development Engineer at Equipmake; Andy Jones, Innovation Program Manager at HiETA Technologies; Sergi Riba, Design Engineer at Safran Ventilation Systems; and Vincent Leconte, Senior Director of Global Business Development, Electromechanical Solutions at Altair.

Martin Kemp, Regional Manager at Altair, Dr. Denis Cumming, a Senior Lecturer at The University of Sheffield, John Milios, CEO at Sendyne, Dr. Gregory Offer, Reader at Imperial College London and finally Professor Jun Xu, Director of Vehicle Energy & Safety Laboratory at The University of North Carolina, present - Developing Predictive Electro Thermal Cell Models for Pack Level Deployment. This presentation will focus on the simulation of the battery cell to represent its complex thermal and mechanical behaviour. The thermal behaviour requires the simulation of the electric behaviour within the cell which leads to the generation of heat. Managing the thermal behaviour is fundamental to the long term health of the battery. The talk provides an overview of the technologies used to simulate battery behaviour, commencing with the understanding of the battery structure including the simulation of electrode manufacture. Both electrochemical and equivalent circuit models will be discussed with the advantages and disadvantages of both methods presented. Finally, machine learning technology is used to create an intelligent cell model which retains accuracy whilst delivering computational efficiency which can be used in Part 2.

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.

Dr. Richard Boyd, Technical Specialist at Altair take us through his presentation, Simulation Technology Facilitating Battery Pack Range Optimization. Richard will take the battery module presented in Part 2 and create a full 3D model of the module - the duty cycle, event and optimization is repeated in this environment. This is performed efficiently in a Finite Element environment. In addition, a link to a 3D Computational Fluid Dynamics solver is highlighted if additional verification is required.

Dr. Lars Fredriksson, VP - Simulation Driven Innovation at Altair, presents the multi-physics design of e-motors with a particular focus on optimising performance including efforts to maximize torque and power under defined driving conditions while keeping rotor stresses, motor vibrations and motor temperature within certain limits. We’ll also see some specific examples of this process as applied to e-motor development at both Porsche and AMG.

James Eves, Team Manager at Altair, Jonathan Stevens, Senior Development Engineer at Equipmake and Andy Jones, Innovation Program Manager at HiETA Technologies, discuss AMPERE, a joint project to produce an extremely lightweight, efficient but low-cost electric motor with an extremely high continuous power density. The consortium will present some of the engineering challenges that designing such a high performance motor has posed, and how these challenges have been overcome through advanced manufacturing technology and simulation driven design.

Dr. Royston Jones, CTO and Dr. Anthony Hahnel, Technical Director, give their keynote presentation during the ATCx Driving Innovation in Electric Powertrain 2021.

Ross Atherton is a Structural Systems Design Engineer in the Rolls-Royce Civil Aerospace Future Programmes Engineering department. After a period of supporting Rolls-Royce’s growing large engine fleet, Ross turned to future products; and has since led a small team designing, assessing, and enhancing the conceptual product architecture of future market opportunities. Ross’ presentation will go into detail on how Rolls-Royce have deployed the Altair Hyperworks toolset to enhance the structural efficiency of their UltraFan engine, covering: rapid model and mesh creation; new insights from structural optimisation and robust design; integrated post-processing; and the resulting acceleration of the engineering design iteration cycle.

This presentation is by Program Manager Rob Jopson. It’s a given that the simulation models we build are intended to capture and predict physical behavior, the data used to create them is not always representative of the manufacturing process used to build the physical part. For layered composite parts in particular, this mismatch can cause significant overhead in managing the simulation data as the model is created and evolves. To solve this problem, Altair’s ply-based modeling methodology strives to maintain a 1:1 relationship between the simulation data and the manufacturing process, independent of solver. The latest developments of this methodology will be presented as a workflow in the new Composite Browser, available in HyperWorks. The recording is about 18 minutes long and was originally presented at the 2020 ATCx Composites.

This workshop on end-to-end workflow for modeling layered composites in HyperWorks was conducted by Program Manager André Möenicke. The recording is about an hour and 37 minutes long, and and was first presented at the 2020 ATCx Composites.