| Login

Resource Library



133 Results
Filter by:
Slide for More Clear All Apply

Product Type

  • All
  • Analysis and Optimization
  • Cloud and HPC
  • Enterprise & Analytics
  • Industrial Design
  • Modeling and Visualization
  • Product Design and Dev't


  • 1d Systems
  • Additive Manufacturing
  • Advanced Mathematics & Analyics
  • Casting
  • CFD
  • Composites
  • Concept Design
  • Crash & Safety
  • Design
  • Durability
  • Electromagnetic
  • Enterprise Solutions
  • Ergonomics
  • HPC
  • Hydraulics & Pneumatics
  • Industrial Design
  • Injection Molding
  • Internet of Things
  • Lightweighting
  • Manufacturing
  • Materials Library
  • Modeling and Simulation
  • Multi-Body Dynamics
  • Multiphysics
  • NVH
  • Optimization
  • Product Design
  • Project Management
  • Rendering
  • Staffing Solutions
  • Stress
  • Thermal
  • Vehicle Dynamics
Clear All Apply
  • Chinese
  • English
  • French
  • German
  • Italian
  • Japanese
  • Korean
Revolutionizing the Development of Children's Orthoses with Simulation Technology & 3D Printing

During his speech "How Do You Scale Empathy?", Naveed Parvez, Founder of Andiamo, tells his very personal story of the creation of his company in response to his experiences when his son needed a supportive orthoses device.

Sunshine School Bus Design Story - Industrial Design for Automotive

Sathiya Seeland, Head of Styling for Product Design at Ashok Leyland, presents at Converge 2016 in Bangalore, India.

Design for High Performance Recreational Products

Pankaj Dubey, Country Head and Managing Director at Polaris India, presents at Converge 2016 in Bangalore, India.

The Digitalization of Biomimicry Design from the Ocean

Sebastian Möller, Projektleiter at ELiSE Alfred Wegener Institut, presents at Converge 2017 in Essen, Germany.

Development of a New Lightweight Aluminum Profile for a Glass Balustrade

Gabriele Romagnoli, Head of Structural Engineering at Farone, presents at Converge 2017 in Essen, Germany.

A Tooling Revolution for Plastic Injection Molding

Stefan de Groot, Technologist Additive Manufacturing at PROTIQ, presents at Converge 2017 in Essen, Germany

Simulation Driven Design in the Cloud

Chad Zamler, Marketing Director of solidThinking, presents at Converge 2017 in Essen, Germany.

Bend-It – Rethinking Customized Orthopaedic Devices Using Additive Manufacturing

Dustin Ahrendt and Felix Schmitt from Technische Universitat Dresden present at Converge 2017 in Essen, Germany.

Design Research Experiences at ZH CoDe

Filippo Nasetti, Senior Associate at Zaha Hadid, presents at Converge 2017 in Essen, Germany.

Master Class: How to Design for Additive Manufacturing

This Master Class held at Converge 2017 in Essen Germany, presents the making of the 3iPRINT Project, which was a joint effort from csi entwicklungstechnik, APWORKS and EOS.

Design for the Future: 5 Trends You Need to Know

Christine Outram, Chief Product Officer at Veritas Prep, presents at Converge 2017 in Los Angeles, California.

Build a Rocket

Tim Morgan, Director of Industrial Design at Newell Brands, presents at Converge 2017 in Los Angeles, California.

Taming Smart Materials to Behave

Doris Sung, Founder of DOSU Studio Architecture, presents at Converge 2017 in Los Angeles, California.

Additive Manufacturing Design

Jason Lopes, Production Development Engineer at Carbon, presents at Converge 2017 in Los Angeles, California.

Towards Real-time Topology Optimization

Hod Lipson, Professor of Engineering and Data Science at Columbia University, presents at Converge 2017 in Los Angeles, California.

High Performance, Dynamism and Autonomy for Humans

Greg Lynn, Principal at FORM, presents at Converge 2017 in Los Angeles, California.

Mega Data, Mega Structure, Mega City

Michael Peng, Technical Director and Senior Associate at Gensler, presents at Converge 2017 in Los Angeles, California.

Design of Permanent Magnet Axial Flux High Power Wind Turbines Generators (MW range)

Design of Permanent Magnet Axial Flux High Power Wind Turbines Generators (MW range)

Modelling Insulating Parts in MV HV Equipment with Flux

Modelling Insulating Parts in MV/HV Equipment enables to - To predict and avoid dielectric breakdown - To compute and minimize electrical stress HVDC lines Lightning strikes - To decrease the oversizing

We Have the Tools, But Let’s Not Lose Sight of the Knowledge

Rafa Corell, CEO at Indigraf, presents at Converge 2016 in Essen, Germany.

Space 4.0 or the Next Paradigm for the Space Industry

Franck Mouriax, General Manager of Structures at RUAG Space, presents at Converge 2016 in Essen, Germany.

Master Class: Using a Crowdfunding Tool for a Start-up

David Suriol, Co-Founder of Vortex Bladeless, presents at Converge 2016 in Essen, Germany.

Designing APWorks’ Light Rider – How the First 3D-Printed Motorcycle Came to Life

Daniel Schneider, Technical Sales Manager at Airbus APWorks, presents at Converge 2016 in Essen, Germany.

Biomimetically Inspired Topology Optimization

Irmgard Lochner, Professor and Consultant at University of Applied Sciences of Biberach, presents at Converge 2016 in Essen, Germany.

Keynote: Modern Architecture – Design Process, Tools and Technology

Neb Erakovic, Director Structural Design at CH2Mmace, was a keynote presenter at Converge 2016 in Essen, Germany.

Optimization of Railway Bolster Bracket for Antiroll Bar

Juan Manuel Romero Cortes, Calculation Lead Engineer at Alstom Transport Spain, presents at Converge 2016 in Essen, Germany.

Functional Architectural Sculpture

Il Hoon Roh, Artist/Architect, presents at Converge 2016 in Essen, Germany.

CFD Oilsplash Simulation in Driveline CAE

A brief presentation on how GKN Driveline performs CFD Oilsplash Simulation using nanoFluidX.

Experimental and Numerical Investigation of Churning Losses in Powertrain Components

A brief presentation on how Magna is predicting and improving powertrain efficiency with nanoFluidX.

OptiStruct V14.0.230 Feature Presentations Demo Models

The zip file contains feature presentations and demo models for the 27 OptiStruct features released in V14.0.230

OptiStruct V14.0.220 Feature Presentations Demo Models

The zip file contains feature presentations and demo models for all the 21 OptiStruct features released in V14.0.220

OptiStruct V14.0.210 Feature Presentations and Demo Models

The zip file contains feature presentations and demo models for all the 35 OptiStruct features released in V14.0.210

OptiStruct V14.0 Feature Presentations Demo Models

For each of the 70 new features in OptiStruct 14.0, there is an individual presentation and demo model.

Using Analytical Approach with Finite Element Analysis for Coupling Magnetic and Thermal Analysis for Motors

Thermal analysis is a key factor when designing motors. We propose to link the studies of electromagnetic and thermal aspects in transient application with Finite Element Method (FEM) to represent the thermal state of motor with higher accuracy. As electromagnetic response time is different of thermal response time, an original method is used for extracting average values on one magnetic period of losses (Joule and iron losses), and to use them as input for the transient thermal analysis. So, the temperature in different parts of the motor is extracted, and brought back as input for the next electromagnetic computation.

Study the Influence of Air-gap Variation on Axial Forces in Axial Flux Permanent Magnet Motor Using 3D-FEM

This paper describes the effect of air-gap variation on performance of a 28 pole axial flux permanent magnet motor (AFPM) with concentrated stator winding. The AFPM is modeled using three-dimensional finite-element method. This model includes all geometrical and physical characteristics of the machine components.

Numerical Modeling and Experimental Analysis of the Magnetic Noise of the Single-Phase Inverter-Fed Permanent Split-Capacitor Motor_Andrei NEGOITA_OPTIM

Abstract- The paper presents a FEM approach for studying the influence of the capacitor value on the magnetic noise of a network and inverter-fed permanent split-capacitor induction motor. A 4 pole, 24 stator slots and 30 rotor slots, induction motor is modeled under Flux2D Finite Element software in order to determine the amplitude and frequency spectrum of the magnetic forces acting on the stator. The effects of the inverter supply are taken into account by coupling Flux2D with Matlab/Simulink. The results are compared with those obtained from noise measurements performed on the studied motor.

Analyze Design and Control Aspects of Linear Machines Using Co-simulation

This research work describes the permanent magnet linear machines, their characteristics, control and applications. It aims to develop a linear machine model in finite element based software, Flux2D. The Finte Element Method (FEM) model consists of 8 poles and 9 slots where periodicity of poles is used to simulate inifinite travel length. The no-load and nominal load conditions are also simulated to validate the performance of the model. At no-load, the cogging force is simulated and is found to be 1.1N

Low Frequency EMC Analysis of Power Systems and Equipments

Presentation slides by Enrico Vialardi

3D Calculation and Modeling of Eddy Current Losses in a Large Power Transformer

Elimination of hot spots and reduction of eddy current losses in structural parts is one of the important constituents of transformer design. In this work, the eddy current losses in the clamping frame, transformer tank and electromagnetic shielding are calculated using a 3D finite element method. The clamping frame, transformer tank and electromagnetic shielding are modeled by surface impedance method. The paper analyses the effects of electromagnetic shielding and magnetic shunts on the eddy current loss reduction in the transformer tank.

Influence of Discrete Inductance Curves on the Simulation of Round Rotor Generator Using Coupled Circuit Method

This paper presents a study on the influence of the discretisation of the inductance curves on a detailed coupled circuit model of a synchronous generator with a damper winding and search coils. The self and mutual inductances of all coupled circuit are computed in magnetostatic with a 2D finite-element method (FEM) for different rotor positions.

Investigation of Electromagnetic and Thermal Behavior During Fast Dynamics in a PMSM Flux 2D/3D and Motor-CAD Simulation

2013 Flux Conference Presentation

Hall Effect Magnetic Sensors Design for Automotive Application

Samir GUERBAOUI – R&D Engineering

Transverse Flux Induction Heating of Magnetic Non Linear Sheets

FLUX Conference 2013 Presentation

Design Optimization of Traction Motors for EV Applications

Increasing concerns on energy security and environmental pollution by fossil fuel engines have pushed significant research in electric vehicles (EVs). The requirements for traction electrification are highly demanding in terms of efficiency, torque and power density, wid

Analysis of Hybrid Motor and Drive for Automotive Application

Flux Conference 2012 Presentation

Flux API in Induction Heating Applications

2014 FLux Conference Presentation

Enhancing Surface-breaking Flaw Detection by Induction Thermography Using Flux

2014 Flux Conference Presentation

Reluctance Synchronous Motor Optimization

2014 Flux Conference Presentation

FEM Simulation Tool for Electromagnetic NDT System in Different Inspection Situation and Visualization Platform

Dr. Yasmine GABI Dr. Bernd Wolter Dr. Olivier Martins Andreas Gerbershagen

EMC Modeling of an Industrial Variable Speed Drive With an Adapted PEEC Method

This paper presents an adapted partial element equivalent circuit (PEEC)-based methodology applied to the modeling of interconnections of power electronics devices. Although this method is already well known, the originality of this work is its use to model a device presenting an industrial complexity.

Temperature Prediction And Thermal Management For Composite Magnetic Controllers Of Induction Coils

ABSTRACT. Temperature control of magnetic controllers (concentrators, cores, shields, shunts) is an essential part of the induction coil design. Prediction and study of the coil copper have been described in a presentation “Influence of Cooling Conditions on Induction Coil Copper Temperatures” (V. Nemkov, R. Goldstein) [1]. That study was made using Flux 2D computer simulation program.

Using Flux and InCa3D for an Induction Heating Device: Evolutions Since 2010 Flux Conference

Presented at the 2013 Flux Conference

Analytical Model of Permeance Variation Losses in Permanent Magnets of the Multipole Synchronous Machine

Permeance variation in the air gap of the permanent-magnet synchronous machine induces eddy-current losses in its permanent magnets even in the absence of stator currents. This paper proposes a new analytical approach to analyze these losses using the permeance-variation vector function introduced for the air-gap magnetic-flux density distribution to take into account the stator teeth.

Electromagnetic Study of a Transformer

Presented at the 2015 Flux Conference

Electromagnetic and Mechanical Analysis of a Linear Actuator for House Appliance

Presented at the 2015 Flux Conference

Boosting HyperWorks Further with Electromagnetic Simulation

An overview of FEKO's capabilities, key applications, industries and features.

Composite Plate Optimization with Practical Design Constraints

Composite free size optimization has the potential to generate weight savings and performance improvements for many applications of composite structures. Key to realizing such improvements is practical application of design and manufacturing constraints in the optimization model.

Altair Leveraging Disruptive Cloud Technologies

As decreasing hardware prices and attractive business models are democratizing high-performance computing (HPC) resources in the cloud, small- and medium-sized businesses (SMB) now have greater computing flexibility than ever before. 

Design Methodologies for ALM and Lattice parts

Design for additively made parts has become a very hot topic. Many engineers see the potential for topology optimization when designing ALM parts, but once they start the workflow, they tend to get bogged down in how to complete the process.

Advance Electromangnetic Simulations and their Applications in Oil & Gas Industry

Advances in computational electromagnetic tools have made electromagnetic (EM) simulations possible for various applications. Now numerical simulations can be performed to evaluate the effects of antenna design, placement, radiation hazard, EMC/EMI, etc. for wide ranging industry applications. Numerical approaches that include full wave techniques such as Method of Moments (MoM), Multilevel Fast Multipole Method (MLFMM) and asymptotic techniques such as Physical Optics (PO) and Uniform Theory of Diffraction (UTD) are being utilized to solve many challenging problems that were not possible in the past.

Advanced Design, Analysis and Optimization of Composite Structures

With stricter requirements on performance and weight, in many cases, composite materials are now becoming the natural choice of designers and engineers given their desirable characteristics such as low weight and high strength. Material properties can be tuned so they are directional – stiffer in one direction while compliant in another for example.

Multiphysics - A New Generation of Simulation

The application of CAE early in a product’s design cycle can make an important difference in its cost and functionality.  However the level of fidelity of the design early in the cycle limits the application of many traditional CAE tools.   Fortunately this is where systems modeling can be applied due to the nature of utilizing a more abstract representation of the overall system and its components. 

How Advanced Simulation will Impact the Offshore Industry both Now and in the Future

The easy days of Oil and gas extraction is over, and the ability to extract Oil and Gas from harsh enviornments is very dependent on the ability to overcome technical challenges through the use of advanced numerical analysis and simulation.

Challenges to Extending Design Verification and Optimization in Completion Tool Development

The oil and gas industry has shifted dramatically in the past year. The forecast for the industry is extremely different today compared to just a couple of years ago. To adjust, oil and gas producers are focusing on driving capital and operating efficiency to preserve their margins.

Automated Finite Element Model Creation using Structural Condition Data for Marine & Offshore Assets

Advanced structural integrity management software is capable of using a structural Computer Aided Design (CAD) geometry to track the condition of a marine or offshore asset in a virtual environment. ABS Nautical Systems Hull Manager 3D (HM3D) converts a 3D CAD model to a database that stores vessel condition information and provides the ability to track condition changes due to structural degradation.

FEA Based Design Optimization to Mitigate Anchor Cage Impact Damage Risk

The power of Finite Element Analysis (FEA) simulations can be effectively used for failure analysis and design optimization to improve product reliability and mitigate operational risks. Expandable Liner Hangers used for wellbore construction within the oil and gas industry are complex mechanical systems that require sophisticated setting tools.

Leveraging Geometric Shape Complexity, in Optimal Design for Additive Manufacturing

Additive manufacturing (AM) technology enables the possibility of realizing highly efficient, optimized structural components with configurations not achievable using conventional manufacturing methods.

nanoFluidX Overview Presentation

Introductory presentation offering information about the particle-based CFD software from FluiDyna.

UK ATC 2015: How Analysis & Optimisation Help Meet the Time Consstraints in F1

Presentation by Simon Gardner, Sahara Force India

UK ATC 2015: Automated Post Processing of Multimodel Optimisation Data

Presentation by Markus Schemat, BMW Group

UK ATC 2015: Optimisation Driven Design and Additive Manufacturing Applied for ESA Sentinel-1 Antenna

Presentation by Alejandro Cervantes Herrera, Altair

UK ATC 2015: Optimised Rear Twist Beam Design

Presentation by Andrew Charlesworth, Gestamp

UK ATC 2015: A Systematic Approach to Weight Saving of Trailer Towing Systems at Jaguar Land Rover

Presentation by Andrew Blows, Jaguar Land Rover

UK ATC 2015: Enhancing Drop Testing Simulation for Luxury Smartphones

Presentation by Alexandre Michat & Paul Sharp

UK ATC 2015: Dynamic Explicit Analysis & Assessment of a Ships Steering Gear

Presentation by David Hunt, Assystem

UK ATC 2015: CFD - A Practical Tool for Large Passenger Carrying Vehicles

Presentation by Laurence Wood, Plaxton

Fatigue Life from Sine-on-Random Excitation

Fatigue life prediction of structures whose natural frequencies lie near the frequencies of the input loading requires the stress results from dynamic analyses. These analyses can be performed in either the time or the frequency domains depending on the nature or the loading. This presentation will outline the approaches available for fatigue life prediction using Altair OptiStruct and APA product, nCode DesignLife for both time and frequency based dynamic analyses. The strengths, weaknesses and assumptions of each approach will be presented, along with typical applications enabling the user to select the proper technique for their particular use case.

Gasoline engine development using LOGEengine

LOGEengine is an integrated simulation method for the prediction and optimization of engine in-cylinder performance parameters and studies of fuel effects on exhaust emissions. It contains a stochastic reactor model for 0D modelling (0d-SRM) with local effects in gas-phase space, direct fuel injection, temperature and species concentrations as random variables, detailed chemical kinetics, prediction of engine exhaust emissions (Soot, NOx, uHC), turbulence consideration via mixing modeling and self-calibration. LOGEengine can also model soot formation for diesel engines using detailed kinetic soot models, with gas phase chemistry, soot particle inception, condensation, coagulation, surface growth and oxidation. It can run equivalence ratio - Temperature (f-T ) diagnostics maps for analysis of regimes of emission formation in diesel engines using zero-dimensional methods with low CPU cost. It analyses local inhomogeneities in gas-phase space for species concentration and temperature due to mixing, fuel injection and heat transfer to cylinder walls, and their influence on soot and NOx formation from different fuels and in individual combustion cycles.

Time v Frequency Domain Analysis For Large Automotive Systems

It has been recognised since the 1960’s that the frequency domain method for structural analysis offers superior qualitative information about structural response; But computational and technological issues have held back the implementation for fatigue calculation until now. Recent technological developments have now enabled the practical implementation of the frequency domain approach and this paper will demonstrate this, with particular reference to the technology limitations that have been overcome, the resultant performance advantages, and accuracy. These techniques are of relevance to all the large automotive OEM’s as well as aerospace T1 suppliers and example case studies from these companies will be included.

Hot Stamping Process Simulation Using Integrated using Structural & CFD Analysis

Hot stamped steel parts are being increasingly used in automotive structures for their higher strength to meet safety standards while reducing vehicle weight to improve fuel consumption. However, manufacturing of sheet metal parts by hot stamping to achieve desired properties is extremely challenging as it involves complex interaction of plastic deformation, metallurgical change, thermal distribution, and fluid flow.

Automated Reporting Director

F.tech R&D North America Inc. started in 2003 at the Troy Ohio location. Today F.tech R&D North America features offices in Troy Michigan and Düsseldorf Germany. F.tech has full R&D capabilities from design and CAE, to prototyping and test. Products include subframes, suspension components, and pedals.

Ensuring Extrusion Product Quality at Die Design Stage

Extrusion of metals is a commercially important mass production process and extruded part are used in a wide variety of applications in in aerospace, automotive, railway, medical, electronics, consumer products and nuclear industries. The key to successful extrusion is the die design and it affects the entire gamut of production process from feasibility to product quality. A die designer faces a complex challenge of delivering a working die and often, problem dies are returned for rework. This directly affect the cost and profitability. Hence, it is critical for a die designer to ensure that the die designed produces the desired profile within acceptable quality and in addition, die is strong enough to withstand multiple extrusion cycles.

Design Optimization of Axles using Inspire and OptiStruct

Use Inspire to form optimization from the packaging space, performance loading and manufacturing constraints to design an axle close to production ready design. The model setup requires careful setting of axle internal component design and oil flow consideration. Since Inspire does not provide weighting for different load cases, the author was able to gain from trial run to determine the balanced load application, mass target and meshing size requirement to obtain realistic design.

High Performance Catamaran Design & Optimisation with HyperWorks

Team Rafale is regrouping aerospace engineers, as well as faculty members and students from ETS (Ecole de Technologie Superieure, in Montreal, Canada), who have taken on the ambitious challenge to design, build and race a C-Class catamaran in The Little Cup. This event, considered as the C-Class World Championship, will see the team face some of the toughest competition around, including contenders for the next America’s Cup such as Franck Cammas (current champion) and designers for current America’s Cup teams.

Development of Reliability Analysis and Multidisciplinary Design Optimization (RAMDO) Software

In manufacturing industry and DoD, developing and producing optimized and reliable products is the primary goal for success of business, reduction of warranty cost, and success of military operations. As the CAD and CAE tools are advancing, the simulation-based design process is often used to obtain an optimum design, prior to prototype development, to reduce the product development cost. However, a design that is deterministically optimized without inclusion of input uncertainty will be most likely only 50% reliable.

Electromagnetic Interference in Automotive and Aerospace

Both the automotive and aerospace industries face ever-increasing Electromagnetic Interference challenges. In the automotive case, new problems arise due to proliferation of electric and hybrid cars, which carry high-voltage systems, and of wireless infotainment and safety systems, which use high frequencies. The aerospace industry’s challenges are exacerbated by the use of composite materials and by the need to protect against lightning strikes. This presentation will discuss many of the challenges and explain how they can be met with simulation. A few practical examples involving cable harnesses will be analyzed in more depth.

Topology Optimization of Nose and Forward Fuselage

The aeronautical sector is facing many concurrent challenges since OEMs have to ensure their commitments in terms of delivery, whereas eco-responsibility, eco-efficiency and sustainable development are becoming more and more significant requirements. In this environment, competition between all players of the sector increase with new comers, offering low cost capabilities and strong investments.

Performance Evaluation, Scalability Analysis, and Optimization Tuning of Altair HyperWorks on a Modern HPC Compute Cluster

Engineers from wide ranges of industries face ever increasing needs for complex, realistic models to analyze the most challenging industrial problems; AcuSolve is designed to tackle these finite element-based Computational Fluid Dynamics (CFD) simulations with superior robustness, speed, and accuracy. AcuSolve simulations are designed to carry out on large-scale computational systems effectively. The breakthrough in HPC parallel computing that allows such complex analyses to be performed that generate the high-quality results, while reducing simulation time from days to just hours. Behind this type of computational improvement that makes AcuSolve perform, it involves complex calculations and data exchanges among computational systems. The more complex simulations are being performed, the higher demands from the cluster performance are. In this analysis, the HPC Advisory Council has performed a deep investigation and profiling for the AcuSolve CFD solver to evaluate its performance and scaling capabilities and to explore potential optimizations. This study presents the optimization techniques and networking profiling results to further understand AcuSolve dependencies on the CPUs, communication networks, IO subsystems and the underlying hardware. The paper will review the effects by comparing various hardware using different simulation models.

Structural Component Design Optimization for Additive Manufacture

Additive manufacturing (AM) technology enables the possibility of realizing highly efficient, optimized structural components with configurations not achievable using conventional manufacturing methods. The Altair and Solid Thinking toolsets provide advanced capabilities to design structural topologies to minimize weight and maximize other performance criteria. However, conventional manufacturing processes require application of design constraints, such as directional access for machining, in the optimization that limit the structural efficiency of the resulting design. AM can remove many of these constraints to allow for more efficient configurations under the applied loading conditions. Case studies show the potential to reduce weight up to 30% for components with applied bending and torsional loads by allowing increased complexity configurations that could only be manufactured additively.

Teaching Aerospace Design Optimization

Engineers develop design and analysis skills through application of principles, methods, and tools to the solution of complex, often ill-defined problems. Engineering training that focuses on simple, focused component-level applications teaches some portion of the skills needed to execute real world problems but is incomplete. Altair has experience both deep and broad in applying optimization technologies and has developed a training curriculum aiming to teach engineers more comprehensive design optimization skills and knowledge in aerospace applications. The Altair Aerospace Optimization Academy has been developed as a series of online modules to develop deep design and optimization knowledge and skills in engineers that have basic structural analysis and finite element experience. The training curriculum leads students through complete design cycles using Altair’s advanced optimization technologies and explores the different approaches that engineers can use to develop aerospace designs for a variety of metallic and composite components and configurations.

Accurate Simulation of Short-Fiber-Reinforced Automotive Parts

For fiber reinforced automotive parts the consideration of anisotropic material behavior is required to receive reliable results. In the scope of this fact a procedure is described how to consider these effects in terms of process-structure interaction and how to achieve possible benefits such as weight reduction and shorter development cycles. The procedure is outlined with practical applications from company Valeo Ligthing Systems and another industrial partner project that is currently still in progress.

Lead Time Reduction using Automatic Reporting Director (ARD) for MAHLE

Mahle is one of the top automotive suppliers and one of the top 3 piston suppliers worldwide. With the recent advancements in numerical simulation and computing power, the FEA process has become a major tool to look at the reliability of different design variants. With these advancements, the reporting aspect remained a relatively unchanged process of manually creating pictures and tables with all of the different results. This presentation will look at the collaboration work between Mahle and the Altair Product Development (PD) team to customize the Automatic Reporting Director (ARD) for Mahle's requirements. The goal was to use to better utilize the engineers time by automatically generating a report with standard formats, pictures, and tables. By using the ARD tool, Mahle was able to reduce the lead time for a report from over 4 hours down to less than 1 hour.

Forming Simulation of Woven Composite Fibers and Its Influence on Crash Performance

The automotive industry, in its constant quest for weight reduction, is increasingly considering composite materials as a substitute for sheet metal components to meet future fuel consumption standards. However, composite forming processes are expensive and difficult to control because of the complexity of the material behavior with fiber and matrix layers or plies and its dependency on many parameters, such as non-linearity of tensile stiffness, effect of shear rate, temperature and friction. Hence, numerical simulation could be a viable approach to predict material behavior during composite forming. The objective of this study is to highlight capabilities of RADIOSS™ to simulate forming simulation of composite plies made from woven fibers, each ply modeled as a layer of woven fibers along two directions of anisotropy, warp and weft. For validation the well-known double dome model published in NUMISHEET’05 proceedings is used. The compared result is the shear angle after stamping that is, the final angle between warp and weft fibers, at several prescribed points on the ply. The variation of this angle has a strong impact on material characteristics which severely deteriorates when a critical value is reached. Hence, a study on crash simulations is performed, after mapping fibers angles from stamping simulation.

Meshing the Human Lumbar Spine

HyperWorks customer Jeff Harris from NuVasive has used HyperMesh to solid hybrid mesh consecutive human vertebrae and discs from a patient bone scan. The meshing, set up in Hypermesh, is simulated using Ansys for motion limits, stiffness, and disc material correlation. Once a model is correlated, disc implants are modeled and simulated with the goal of replacing degenerate discs.

Advances in EM Simulations

This paper introduces some of the recent extensions to the computational electromagnetics code FEKO as released in Suite 7.0. The FDTD (Finite Difference Time Domain) method was added to the selection of available solvers. MLFMM (Multilevel Fast Multipole Method) and PO (Physical Optics) were hybridized for electrically large applications. The RL-GO (Ray-Launching Geometrical Optics) solver was extended and improved in terms of speed and accuracy, and a new interface to import measured near-field antenna data from MVG/Starlab will be presented.

An Automated Head Impact Process Setup for Automobile Instrument Panel (IP) Application

FMVSS 201 procedure originally rolled out in 1968 by Federal Motor Vehicle Safety Administration to protect the automobile occupants from fatal injury during the crash. Since the beginning of the law, the automobile interior safety has become considerably more challenging for manufacturer to meet FMVSS 201 standard criteria. During the course of instrument panels (IP) development, engineers are heavily relied on computer simulation to optimize the design for a more robust design. Based on FMVSS 201, there are an infinite number of target points on the instrument panels that must be tested for head impact performance. Therefore, this becomes not only costly but it is impossible for the manufacturer to test all possible target points using the current conventional process.

The Use of Suimulation (FEKO) to Investigate Antenna Performance on Mobile Platforms

Wireless technologies have proliferated onto automotive platforms as part of infotainment, telematics and active safety initiatives. These wireless solutions present engineers design challenges in the area of applied electromagnetics in terms of antenna design, antenna placement, electromagnetic compatibility and wave propagation. The Applied EMAG and Wireless Lab at Oakland University possesses an outdoor vehicle-level antenna range (80 MHz - 6,000 MHz) and full-wave electromagnetic field solvers with high end computers to solve these issues. This presentation will highlight some of the past and recent research projects conducted in my lab that relied on a full-wave electromagnetic field solver to investigate the issue and subsequently be validated with measurements.

Motivations, Opportunities and Challenges of Additive Manufacturing for Space Application

Additive manufacturing (AM) technologies have progressed rapidly in the last years. Supported by the recent developments of design optimisation tools and manufacturing capabilities, components and parts produced using AM are emerging more and more into the focus of space industry. The aim of this presentation is to show why AM can be seen a promising manufacturing technique for space industry and in particular for satellite application? Opportunities and challenges that have to be faced to make 3D printed components “flying” on spacecraft are presented and discussed. The re-engineering and qualification approach of the already existing Antenna Support Bracket, that is part of the Sentinel-1 spacecraft, is discussed as a case study to bring this topic into the more tangible context of an industrial project.

A Multifunctional Aerospace Smart Skin Emerges from Computational Models and Physical Experiments

The capability to assess the current or future state of the health of an aircraft to improve safety, availability, and reliability while reducing maintenance costs has been a continuous goal for decades. Many companies, government agencies, and academic institutions have become interested in Integrated Vehicle Health Management (IVHM) and a growing effort of research into “smart” vehicle sensing systems has emerged. Methods to detect damage to aircraft materials and structures have historically relied on visual inspection during pre-flight or post-flight operations by flight and ground crews. More quantitative non-destructive investigations with various instruments and sensors have traditionally been performed when the aircraft is out of operational service during major scheduled maintenance. Through the use of reliable sensors coupled with data monitoring, data mining, and data analysis techniques, the health state of a vehicle can be detected in-situ.

Page: 1  2  

RSS icon Subscribe to RSS Feed