UK ATC 2015: Automated Post Processing of Multimodel Optimisation Data

1. FEA Explicit Dynamic for Drop Impact Simulation Using Altair Radioss　 2. Multi parameter Sensitivity Analysis & Deterministic Design Optimization on A/C Outdoor Unit. 3. Uncertainty Quantification & Reliability Based Design Optimization 2D CFD Case Study

The usability of a headset is largely determined by a comfortable fit and its resistance to everyday use. Learn from Alice Lin, Manager of Mechanics at GN Audio R&D how she introduced FEM simulation capabilities at Jabra. The presentation shows how product design benefits from structural analysis, design for comfort, and drop test simulation. A future extension of simulation capabilities intends to address more areas and improve the simulation-driven design process efficiency. Speaker: Alice Lin, Manager of Mechanics, GN Audio Duration: 22 minutes Click the AD icon to select alternative audio translations - French, German, Portuguese and Spanish.

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.

Gaining insights into a product’s performances has never been easier. With the HyperWorks Design Explorer, users can easily set up and execute the design of experiments (DOE) and optimization studies, learning which attributes contribute the most to the different performances, review, plot, and compare results from multiple runs, and ultimately identify optimal designs. The quick and easy setup process is solver independent, yet fully integrated with Altair’s structural analysis solutions. On the other hand, many design specifications are quantifiable and can be confirmed by physics but optimizing a design for subjective design requirements such as the look and feel of a product requires a different approach. This is when expertAI can help. It uses machine learning to enable you to include criteria that have traditionally been considered purely subjective or expert-driven in design optimization. The AI algorithms cluster your designs with respect to their subjective behaviors allowing them to be labeled to train a model aligned with your preferences.

In this session we will highlight how Altair HyperWorks supports efficient data processing and visualization, thereby helping users to make decisions faster. From the simulation-driven design workflow, fully integrated with HyperWorks’ model build functionalities, to the high-performance visualization and reporting of simulation results, HyperWorks provides the best framework to visualize, process, and report data

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.

What makes artificial intelligence a game changer is not what movies depict with the loud destructive powers of artificially intelligent robots. It’s the opposite, it is the silent creative destruction that it brings as apps in our phones or features in the tools that we use such as spam filters, fraud detectors, and recommendation engines. When combined, these tools make our lives more enjoyable, safe, and productive. In a similar spirit, at Altair, we have been working on powering product design and development with AI to make your work lives more enjoyable, and productive. Our focus has been improving processes and outcomes by reducing repetitive, labor-intensive, non-value-added tasks as well as emulating experts and enriching performance predictions with real-time field predictions. What makes these offerings unique is their no-code integration to the tools that you are already familiar with and hence not requiring you to have to leave your own working environment. In this presentation, examples of such AI-Powered product design processes will be demonstrated. The presentation by Dr. Fatma Kocer, VP of Engineering Data Science at Altair, aired at Future.AI in June 2021, and is almost 30 minutes long. Ready to see how your company can drive innovation with AI-powered design? Contact our solutions experts today. View all Future.AI 2021 Presentations

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.

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.

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.

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.

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.

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.

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.

Altair CTO James Dagg presents an overview of the journey Altair took to develop the leading modeling and visualization technologies we have today, and provides a look at what’s coming next to help you reduce your product delivery time. James Dagg has been at Altair for more than 30 years and is a visionary behind Altair’s software strategy and development activities. He has also led the development of Altair’s concept design technologies and oversaw the development of Altair’s CAE software suite for more than a decade.

In his presentation, Dr. Darren Ashby, CAE Group Leader at Jaguar Land Rover discusses some of the technological developments that have led to reduced meshing time and enhanced model quality at Jaguar Land Rover. Additionally he shares some thoughts on the direction of finite elements modelling, future functionalities, and new technologies which will enable further productivity gains at the company. Dr. Darren Ashby, CAE Group Leader at Jaguar Land Rover has been at the company for over 30 years, having joined as a technical apprentice and progressing to where he is now as the CAE Group Leader for Virtual Model Build and Analysis. He holds a PHD in philosophy focused in mechanical engineering from Coventry University.

Matt Kedgley from Engenuity introduces us to FiRMA, an analysis method that tackles the difficult task of predicting the structural performance of randomly oriented fibre composite components. This method has been developed and made possible using a customisation of Hypermesh. The Finite Element (FE) models are pre-processed into the FiRMA format before being submitted for analysis solve through HyperStudy.

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.

This workshop on molding and structural simulation of injection molded parts was conducted by Frank Ehrhart, EMEA Technical Specialist - Material Engineering/Multiscale Designer. The recording is a little over an hour long, and and was first presented at the 2020 ATCx Composites.

Variational asymptotic beam section (VABS) is a unique technology continuously funded by the US Army since 1988 and it has become a tool of choice in the helicopter and wind turbine industries for modeling composite rotor blades. With analysis of a finite element meshed cross section, VABS can compute the best set of beam properties for 1D beam analysis and also accurately recover 3D stress/strain distribution over the cross section. VABS has been integrated with HyperWorks and OptiStruct for Altair users to take advantage of this powerful technology for better design and analysis of composite beam-like structures.  The recording of the presentation by Dr. Wenbin Yu, CTO of AnalySwift, is almost 20 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 Rob Jopson. The recording is about an hour and 32 minutes long, and and was first presented at the 2020 ATCx Composites.

This workshop on material characterization/ virtual testing was conducted by Jeff Wollschlager, VP of Composites Technology. The recording is about an hour and 32 minutes long, and and was first presented at the 2020 ATCx Composites.

This presentation is by Markku Palanterä, Director Composites Business Development, Altair The composites design and simulation suite by Altair is actively developed with a holistic view to cover all stages of the process from material modeling all the way to the certification of composite structures. On the material modeling side, the focus is on continuous further development of Altair’s multiscale modeling technology for continuous fiber composites and injection molded plastics, but not forgetting further application areas, such as additive manufacturing. The ply-based composite modeling in Altair HyperWorks has recently undergone a major update to achieve an improved, more efficient modeling workflow. This together with planned further developments tie the modeling even better with the manufacturing to create realistic models of composite components as built. Altair’s solver technology for implicit and explicit analyses can utilize multiscale material models to accurately describe composite material nonlinear behavior up to failure. Altair’s unique composites optimization technology is being enhanced with the repeat laminate concept that provides added efficiency and user control over lay-up design. To further complement the idea of an integrated system with all the necessary composites capabilities, the Composite Stress Toolbox has been introduced in HyperWorks to support design and certification. The recording is about 22 minutes long and was originally presented at the 2020 ATCx Composites.

In this presentation, Dr Jacob Fish, Professor, Columbia University, introduces some of the key concepts and approaches in multiscale modeling, highlights recent advances aimed at developing practical multiscale tools, and survey the current landscape in multiscale modeling ranging from linking atomistic-to-continuum and continuum-to-continuum scales, physics and data-driven multiscale approaches, and applications in automotive, aerospace and biomedical industries. The recording is about 41 minutes long and was originally presented at the 2020 ATCx Composites.

This presentation is by André Mönicke, Program Manager Classical composite analysis and certification methods continue to be used in a significant share of the composite design process. In particular, applying classical methods early in design, and integrating them with finite methods as soon as possible can allow faster decisions which will be rewarded when it comes time for certification. Altair’s latest developments to respond to those needs will be presented, covering the Integrated Composite Stress Toolbox and a Certification framework available in HyperWorks. The recording is about 20 minutes long and was originally presented at the 2020 ATCx Composites.

This presentation is by Dávid Migács, R&D Engineer at CIKONI GmbH. A key design issue for new hydrogen-based vehicle drive systems is assuring safety of the start-of-the-art polymer lined, carbon fiber overwrapped vessels working at pressures over 700 bar. Cikoni will describe how a multiscale approach gives a better estimation of burst pressures and insight into damage mechanisms for different laminate layups, at both the macroscopic and micromechanical levels, to validate simulation models for structural optimization of layups, along with life predictions. The recording is about 28 minutes long and was originally presented at the 2020 ATCx Composites.

This presentation is by Dr. Tomasz Garstka and Graham Barnes, LMAT Ltd. Manufacturing induced deformations and residual stresses are an unavoidable consequence of processing composites at elevated temperatures. A number of mechanisms have been identified causing residual stresses and distortions, including mismatch in the thermal expansion, cure shrinkage of the resin, consolidation and tool-part interaction. These mechanisms usually act collectively through the curing process and may lead to severe changes in the laminate characteristic. When cured and exposed to natural environment moisture swelling, as well as subsequent stress relaxation mechanisms lead to further geometrical changes. A novel cure simulation solver is demonstrated here with the application to typical aircraft components. The recording is about 10 minutes long and was originally presented at the 2020 ATCx Composites.

Steven Ford, Principal Engineer at Edwards Lifesciences does a high-level walk through on how simulation has evolved in the cardiovascular device space over the last two decades. An example of how Altair HyperStudy has been an exceptional tool for deeper learning with respect to device performance will also be highlighted as a step along this journey. The recording is about 15 minutes long and was originally presented at the Altair Technology Conference 2020.

Full evaluation of a design concept requires the definition of many complex details. However, complex geometric details constrain design flexibility.

Simulation-driven design powered by topology optimization was created by OptiStruct over two decades ago. Its success has changed the CAE/CAD industry as today all vendors have embraced this trend.

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.

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.

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.

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.

Presentation by Konstantin Arhiptsov & by Eitan Maler, Simulation Dept. IWI 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.

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.

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.

This presentation was given at the 2019 ATCx Multibody & System Simulation conference at the Altair Headquarters in Troy, MI.

SOGECLAIR aerospace, part of the SOGECLAIR S.A. group, is a major engineering partner and prime contractor for the aerospace industry. For the design of an aircraft access door, to leverage the full potential of the combined methods of additive manufacturing and casting, SOGECLAIR used the Altair HyperWorks software suite for the design and optimization of the door.