ATCx Concept - Rapid Analysis of Complex Assemblies with Altair SimSolid

Rapid Analysis of Complex Assemblies with Altair SimSolid Tony Jones, Chief Engineer Andron Handling

Presentations

ATCx Concept Design - Developing Highly Customised Truck Trailers with Intelligent Simulation Technologies

Richard Owens Don-Bur Don-Bur are designer and manufacturers of commercial vehicle bodies such as truck trailers and develop custom trailers for many famous retailers. In this presentation Richard Owen will talk us through why they adopted SimSolid technology and show a quick hand on demo on a typical structure whilst analysing SimSolid.

Presentations

ATCx Concept Design - Accelerating the Development of Automotive Seating Structures

João Dias, Senior Project Engineer Rescroft Rescroft are an automotive seating specialist in the UK. In this presentation João will talk about their use of SimSolid in their design process along with other tools that’s available within the Altair concept engineering suite.

Presentations

ATCx Concept Design - The Key Role of Simulation in Development of Aluminum Profiles and Study of Glass Structures in Shorter Design Time

Gabriele Romagnoli, Head of Structural Engineering Faraone Faraone are specialist in transparent architectures such as canapes, balustrades, staircases, glass partitions and other glass structures. Gabrielle will take us through their design teams who uses SimSolid and Altair Inspire on their structures

Presentations

ATCx Concept Design - Leveraging Disruptive Technology in Structural Simulation in Oil and Gas

Carlos Omar Ramirez, PE Engineering Manager NOV In this presentation Carlos from NOV is will share his experience with SimSolid and show us how the technology is allowing him to very quickly assess structural performance of some very large CAD models including walkways used in Oil fields.

Presentations

ATCx Concept Design - Making Rapid Design Decisions at Brompton Bicycle

Jonathon Heath, (Former) Lead Mechanical Design Engineer Brompton Bicycle This presentation will show how Brompton adopted simulation in their design process and moved away from their traditional CAD embedded simulation packages with hands on demo of SimSolid.

Presentations

ATCx Concept Design - SimSolid Case Studies at Whirlpool

Alexandre Marangoni, Senior CAE Engineer Whirlpool This presentation will show how Whirlpool will take us through how they validated SimSolid against FEA solvers that implemented the tool in their concept design processes.

Presentations

ATCx Concept Design - Implementation of Altair SimSolid in the Engineering Center of General Motors Mexico

Mauricio Pacheco, Design Team Manager and Christian Herrera, Design Engineer General Motors This presentation will give us an insight into how SimSoild is being used in their Engineering centre in Mexico.

Presentations

ATCx Concept Design - Component and System Level Performance Evaluation at the Conceptual Design Phase

Andrew Blows, Principal Technical Specialist Jaguar Land Rover In this Keynote presentation from Andrew Blows, will give us his perspective on Why Jaguar Land Rover using SimSolid over traditional FEA, when & where to use SimSolid and some examples of where SimSolid has been used and how the results compare against traditional FEA

Presentations

ATCx Concept Design - Structural Analysis for Rapid Design Iterations

Girish Kalyan, Product Manager - Altair SimSolid Altair In this presentation Girish will introduce SimSolid and a demo to showcase simulation at the speed of design.

Presentations

ATCx DEM 2020 - DEM modeling of particulate processes – from conceptualization to industrial application

The Discrete Element Method (DEM) is increasingly being used to simulate powders and particulates that are common in many industrial and natural processes. Since DEM computes at individual particle level, it has the potential to capture the underlying particle phenomena of a problem such as friction, cohesion or breakage, which in turn informs the bulk industrial process of interest. Using a few examples, this presentation will discuss model conceptualization of problems in developing effective solutions to address challenging industrial problems.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Prof. Jin Ooi, The University of Edinburgh
Duration: 30 minutes

Presentations

Information Optimization Keeps Edwards Air Force Base Mission-Ready

The 412th Maintenance Group (MXG) provides maintenance, as well as Logistics Test and Evaluation (LT&E) support, for the U.S. Air Force, Department of Defense, Foreign Military Sales, and contractor aircraft at the Air Force Flight Test Center (AFFTC). The AFFTC is the Air Force Material Command center for excellence of research, development, testing and evaluation of aerospace systems for the United States and its allies. The mission of the Training Division is the planning, administration, development, instruction and evaluation of a training and readiness program for military members and civilian employees within the 412th MXG.

Customer Stories

ATCx DEM 2020 - Optimizing pneumatic conveying of cohesive dairy powders using EDEM–CFD coupling

Pneumatic conveying pipelines undergo series of direction changes due to space restrictions, site location, or position of receiving silos and hoppers. When dairy powder and air flows around pipe bends or experiences any change in flow direction during pneumatic conveying, the particles form a rope-like structure due to inertial, gravitational and centrifugal effects. The formation of such particle ropes can lead to particle stratification, re-agglomeration, deposition, and pipe blockages especially when handling cohesive powders.

This research focuses on the design and optimization of novel flow-aided pipe bends that prevents powder deposition, pipe clogging, and improves throughput. Several conceptual designs of such flow-aids are investigated for various bend orientation by coupling Altair EDEM with Computational Fluid Dynamics (CFD) supported with targeted experimentation. The optimum flow-aided design integrated into a pilot-scale conveying test rig results in higher rope dispersion after the than similar test rig with conventional bends.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker:Akeem Olaleye, University of Limerick
Duration: 24 minutes

Presentations

Altair Data Analytics for the Federal Government

Altair Data Analytics enables government agencies and people of all skill levels to access, generate, and use smart data to make insightful, informed decisions. With decades of experience in data transformation, machine learning, and visualization, our solutions are designed so that people who work with data can collaboratively generate and share insight within a governed environment. With the necessary accreditation to operate on government networks, Altair Data Analytics is deployed in many executive government agencies worldwide to solve for security, logistics, and policy-based use cases.

Datasheets

Use Machine Learning To Predict Remaining Useful Life

Machine learning (ML) and stream processing technology are powerful solutions for remaining useful life (RUL) analysis. Manufactures can use the large amounts of data produced by sensors combined with human inspections of finished pieces to train ML algorithms. The ML tools can then proactively alert operators when a tool is approaching its end of life, allowing them to schedule the replacement for a convenient time. Stream processing algorithms can also process all the sensor data being generated by any number of production machines, make on-the-fly comparisons with historical data, and increase the accuracy of ML algorithms. This solutions flyer explains how smart selection and application of ML tools combined with the availability of clean, governed datasets help manufacturers optimize their maintenance and wear part replacement schedules.

Datasheets

Data-Driven Warranty Risk Profile Analysis

Most manufacturers must handle large numbers of warranty claims related to a variety of products and components. The volume of claims can easily run to millions per year for consumer goods manufacturers. Patterns within claims data may indicate emerging quality or design problems; therefore, identifying and prioritizing the issues requiring high priority responses is critical to improving quality and reducing the financial impact of claims. This solutions flyer how advanced data analytics tools enable teams to cleanse and organize data from any set of repositories and apply machine learning technology to identify emerging quality or design issues.

Datasheets

ATCx DEM 2020 - A model for simulating particle breakage with high fidelity in EDEM

Desired or not, particle breakage can occur when dealing with particulate materials in industry. For cases in which breakage severely influences the flow of the material, the only viable option is to describe it within the DEM environment. Several powerful approaches have been proposed over the years, but only very few are suitable to be used in large-scale simulations.

The presentation shows one such model that has been implemented in Altair EDEM to describe body breakage of brittle materials. It is based on a novel stochastic particle replacement approach involving spheres. It accounts for variability and size-dependence of fracture energies, besides weakening when particles do not break and fragment size distribution dependent on stressing energy. Results from model verification and validation in EDEM are presented, which demonstrate its high fidelity, besides examples of application to predict breakage in selected crushers.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Prof. Marcelo Tavares, University Federal de Rio de Janeiro
Duration: 25 minutes

Presentations

ATCx DEM 2020 - DEM applications in pharmaceutical manufacturing processes

Particle processing is one of the core activity of pharmaceutical products and processes development, manufacturing, and also drug delivery. The powder behavior and processing performance have direct impacts on process robustness, yield, and final product performance (drug delivery). 

Product and process development efforts are normally time consuming and expensive by experimental trial-and-error approach. Discrete Element Method (DEM) modeling, and other mechanistic methods, are enabling tools for creating a digital sandbox. Engineering can utilize these tools for equipment characterization, process parameter optimization, target performance tuning, rapid process development and cost saving, and eventually delivering product faster to the market (patients benefits). The applications are diverse, from batch or continuous blending, micronization, tablet making, coating, or using CFD-DEM methods for dry powder inhalers and drug delivery. 

In this presentation the applications of DEM and CFD-DEM modeling in pharmaceutical manufacturing will be discussed. Critical aspects of the model development, validation, and implementation in compliance with regulatory criteria will be explained. A new hybrid machine learning-DEM approach will be introduced for extended DEM runs for rapid DEM modeling to a realistic process time (hours) in reduced computational expenses and time.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Dr. Nima Yazdanpanah, Principal, Procegence
Duration: 24 minutes

Presentations

Cool Runnings: E-Motor Design at DEF

The idea for its cooling technology for electric motor systems was born at high-tech start-up Dynamic E flow (DEF), when the founders first experienced an overheated engine of an electrical car. The existent development process at DEF used analytical methods and physical testing to confirm results. With increasing customization, that process was not flexible enough to handle various design possibilities. With the need for a simulative design approach, DEF employed Altair software to tackle its multi-physical design challenges, and to meet all the customer requirements for their unique motors, test hundreds of variants, and to check the feasibility of the customized product.

Customer Stories

Altair Inspire Mold Overview

Inspire Mold is a complete molding simulation in 5 easy steps through a highly intuitive user experience, catering to beginners and experts alike allowing designers and product engineers to improve part performance while reducing defects and iterations between design and manufacturing. Visit altair.com/inspire-mold to learn more and begin your free trial today.

Video Testimonials

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.

Webinars

Modeling Corona Discharge using VSim Simulation Software

VSim, is a multi-dimensional, multi-physics simulation software tool, available through the Altair Partner Alliance, that can model a wide variety of electromagnetic related problems. VSim correctly computes the electric field in free-space and dielectrics due to boundary conditions and self-consistently generated fields from charged particles. In this webinar, you will learn how to set up a corona discharge problem in VSim. The set up includes the initialization of a seed electron, inclusion of collisional processes between electrons and neutrals which lead to the formation of a plasma, secondary emission due to electrons and ions impacting a variety of surfaces, and establishing any dielectrics in the simulation. VSim can correctly compute the electric field in the dielectrics. We will then show you how to analyze the data in VSim once the simulation has finished.

Webinars

ATCx DEM 2020 - Leverage DEM modelling in pharmaceutical development

Discrete Element Method has drawn an increasing attention in both academia and in industry. While there are tremendous successes reported in open source, many practical challenges exist when applying DEM modelling to pharmaceutical processes development. In this talk, experience of DEM applications in pharmaceutical development will be shared with discussion on benefits. A case study on scale-up of tablet coating processes will be given in greater detail. And an outlook for future path forward will be open for discussion.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Dr. Liang Li, Process Engineering Scientist, The Janssen Pharmaceutical Companies of Johnson & Johnson
Duration: 18 minutes

Presentations

Simulate at the Speed of Design

Simulation to impact design, it needs to validate design as it unfolds and drive its evolution. It needs to work directly on the available CAD geometry and, in many cases, on the entire assembly intact and work fast. Simulation needs to happen at the speed of design! Altair invites you to the “Experts Talk” - an congregation of imminent panel of technical executives, managers, and experts from diverse industry segments. The esteemed panel will share their experience on how they have achieved simulation at the speed of design in their organization, leveraging the game-changing technology Altair SimSolid™.

Webinars

ATCx DEM 2020 - Efficient material model calibration in EDEM – methods and example

Material model calibration is an integral part of the Discrete Element Method modelling methodology, but the commonly adopted trial and error calibration approach is time and resource intensive. Recently developed workflow automation tools and coupling methods with Altair’s suite of machine learning solutions have improved the efficiency and accuracy of the calibration process in Altair EDEM software. This talk explores the ways users can leverage the power of these tools when conducting EDEM material model calibration.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Stefan Pantaleev, EDEM Engineer, Altair
Duration: 26 minutes

Presentations

ATCx DEM 2020 - Multi-physics: solving system level problems using EDEM coupled with FEA, MBD and CFD

Many industries and applications involve bulk and granular materials interacting with machines and fluids. The use of Multiphysics and Altair EDEM software can play a major role when trying to understand, predict and optimize bulk material handling equipment and processes.

This presentation provides an introduction to the Multiphysics capabilities and options available with Altair EDEM. It includes an overview of the benefits obtained from combining EDEM with other solvers and software from Altair, including couplings to finite element method (FEA), computational fluid dynamics (CFD) and multi-body dynamics (MBD).

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Ignacio Diez Alonso, EDEM Engineer, Altair
Duration: 18 minutes

Presentations

ATCx DEM 2020 - Continuum analysis from discrete data in EDEM - a case study on powder mixing

The mechanical behavior of granular materials can be usefully described in terms of continuum fields such as stress, strain, porosity, and mass density. These fields and their derivatives are often of interest when modelling granular systems with Altair EDEM. An example is the calculation of the kinetic stress field in a powder mixer, which is used to analyze the convective flow patterns in the system. The EDEMpy library of python functions enables the calculation of such continuum fields from discrete particle data in EDEM and this talk gives an overview of continuum analysis with EDEMpy using a powder mixing process as a case study.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Stefan Pantaleev, EDEM Engineer, Altair
Duration: 19 minutes

Presentations

ATCx DEM 2020 - 10 unique features of EDEM you need to know about!

Most users know Discrete Element Method modelling for the need of defining material properties, particle shapes, equipment working conditions and contact physics. In this talk, key features of Altair EDEM that expand beyond the usual DEM settings will be showcased. From easy ways to create complex particle shapes and configurations to ad-hoc post processing, attendees will discover unique features and capabilities of EDEM they might not know about and will find out why EDEM has been leading the DEM market for years.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Carles Bosch Padros, EDEM Engineering Services Team Lead, Altair
Duration: 19 minutes

Presentations

ATCx DEM 2020 - DEM modeling as an innovative method in designing of screw conveyors

The presentation discusses the problems of designing screw conveyors with regard to the determination of the exploitation parameters (mass efficiency and power demand) when current calculation methods are in use. To improve the designing process and provide more reliable results, a DEM method was introduced to everyday usage in FMK company. The presentation shows the innovative results of the experimental and simulation studies concerning the determination of the exploitation parameters of the screw conveyor. Our studies indicated great agreement of the DEM results with reality in the aspect of mass efficiency and power demand calculation. Moreover, exemplary simulations of bulk material transport in a screw conveyor are be presented.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Piotr Rubacha, Simulation Engineer, FMK Poland
Duration: 18 minutes

Presentations

ATCx DEM 2020 - Process optimization through industrial scale DEM simulations

In chemical process industries, process equipment were designed and optimized based on the designer’s experience, available empirical correlations and experimental studies in the past. However, in recent years, Discrete Element Method (DEM) has been widely used in many process industries for large-scale simulations of particulate handling and processing operations for better understanding of material flow and design optimization.

Two case studies here showcase the effective use of DEM for design and process optimization of rotary equipment. In the first case study, DEM was used successfully to test various concepts of the lifter designs for drying fragile material in rotary dryer for achieving higher throughput and drying rate at reduced specific energy consumption. Another case study highlights evaluation of different grinding media configurations in ball mill through DEM simulations for predictions of power and collision energy spectra impacting the material grinding pattern and overall specific energy consumption.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Dr. Manoj T. Kandakure, Lead Scientist, Aditya Birla Science & Technology
Duration: 25 minutes

Presentations

ATCx DEM 2020 - Simulating Hot Mix Asphalt from Rock to Road

The production of hot mix asphalt (HMA) involves drying and heating aggregates and mixing and coating the aggregates with liquid asphalt bitumen. This process presents many simulation challenges.  As an equipment manufacturer Astec uses simulation to improve equipment design and performance, but the changing characteristics of the HMA mixture during the production process has meant the development of a range of custom DEM models to account for different stages of the process.  In this presentation, Astec's head of simulation and modeling reviews successes and where there are gaps in the process of simulating HMA production from rock to road.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Andrew Hobbs, Head of Simulation and Modeling, Astec Industries
Duration: 18 minutes

Presentations

ATCx DEM 2020 - Simulation of segregation in Blast Furnace plant – FIFO evaluation

A default in the Blast Furnace burden permeability is an important issue in the Blast Furnace process. Particle segregation can lead to a preferential flow and disturb the gas distribution. Material charging is one of the few levers on which a Blast Furnace operator can act to control segregation.

The deep Discrete Element Method (DEM) simulations coupled with a FIFO evaluation allowed Paul Wurth to increase their knowledge of the important factors influencing the segregation and helped to improve the design of the complete material handling. Learn more in this presentation.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speakers: Stefan Rühl, Project Engineer & Christian de Gruiter, Head of Calculation Tools, Paul Wurth
Duration: 22 minutes

Presentations

ATCx DEM 2020 - Some usages of EDEM software at ArcelorMittal R&D

In this talk, two examples of how ArcelorMittal uses Altair EDEM software for steelmaking applications are discussed. In each considered granular flow configuration, simulation results are validated with experimental data and observations. 

The first application is about the DEM modelling of segregation issue from a charging system of a sinter cooler. The DEM model is set up, with a calibration step, validated with a segregation measurement from the plant and used to analyze the granular flows in the charging chute, better understand the material behavior and optimize the sinter cooling efficiency. 

After, the DEM numerical study of a high-stress particles impact test on steel plate. Calibrated simulations with EDEM show a good agreement with experimental observations regarding abrasion location and magnitude. Particles flow in the test is better understood and local measurements in the simulation of abrasion energy locations and contact forces distribution are numerically assessed with the EDEM software which is impossible to realize in the experiment.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Dr. Edouard Izard, Research Engineer, ArcelorMittal
Duration: 22 minutes

Presentations

ATCx DEM 2020 - Wear simulation using automated geometric deformation with the discrete element method

Tools used in soil cultivation are subject to heavy wear. Simulation methods, such as the Discrete Element Method (DEM), show a good suitability to analyze these processes. In materials science, many investigations of wear are based on the scratch test, in which a diamond tip is moved along a material surface and the volume removed provides information about the abrasion behavior. With the DEM it is possible to simulate this scratch test virtually.

During the simulation of the stress, no geometric deformation according to the expected wear takes place so far. For this purpose, a program has been developed which changes the geometry of the tool to be examined at defined intervals as a CAD model and returns it to the simulation. The interaction is automated, so that no manual adjustments are necessary and the wear process can be displayed in any detail.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Florian Schramm, M.Sc, Technical University of Braunschweig
Duration: 21 minutes

Presentations

ATCx DEM 2020 - A numerical study on the effects of particle-particle and particle-boundary interactions on the powder bed structure and stress distribution

Many industries involving bulk solids require a fundamental understanding of powder bed packing structure and stress distribution in order to effectively design process equipment, optimize powder processes, and enhance product quality. Using Discrete Element Method simulations, a simple container filling and uniaxial compression process is modelled for a system of 70,000 glass bead particles with varying particle-particle cohesion and particle-wall friction and adhesion. Watch the presentation to find out more about the results of this study.

Presented as part of the virtual ATCx Discrete Element Method in November 2020.

Speaker: Nicholas Monroe, University of Delaware
Duration: 29 minutes

Presentations

EikoTwin DIC Top Use Cases

Use cases of EikoTwin DIC by EikoSim.

Use Cases

[Monarch Virtual Spotlight Series] From Disruption to Decentralization: A Peek into Building Advantage in 2021

How can you use the disruptions and lessons learned from this year to make meaningful change to your relationship with data? The catalyst for change can be jarring as we’ve all experienced this year. Inefficiencies within processes can be amplified as soon as working conditions change, but rather than seeking the status quo or returning to the way things were, can we use this time as an opportunity to improve processes or introduce needed supplemental analytics to pre-existing processes to move into 2021 healthier than 2020? During this webinar we'll discuss: -Identifying existing constraints, both tangible and perceived -Centralized vs. Decentralized Processes: how do we ensure agility and governance? -Offensive vs. Defensive Strategies for Data Trends in the industry and how to get ahead

Webinars

EikoTwin DIC Demo

Discover in this video how to use the functions of the DIC (Digital Image Correlation) software of the EikoTwin software suite.

Demo Models

EikoTwin DIC Brochure

EikoTwin DIC allows image processing (digital image correlation) based on the finite element (FE) mesh of a simulation.

Brochures

EikoTwin Aerospace Case Studies

Case studies from Arianegroup and IRT Saint - Exupéry. Characterization test of a joint test piece launching Ariane 6 in collaboration with Arianegroup. Compression test on lattice structure with the IRT Saint - Exupéry.

Customer Stories

EikoTwin DIC 1.2 Demo

This video presents the last updates in EikoTwin DIC 1.2.

Demo Models

EikoTwin DIC Use Cases and Product Demo

This video showcases five use cases of EikoTwin DIC in various industries, as well as a short product demo.

Use Cases

Design High-Quality Plastic Components Faster Using S-Life Plastics

An Introductory webinar to S-Life Plastics by PART Engineering, available through the Altair Partner Alliance. S-Life-Plastics is an easy-to-use software that conducts a short-term, long-term and fatigue strength assessment based on FEA results for plastic components made out of unreinforced or reinforced thermoplastic materials. In order to conduct a strength assessment S-Life Plastics only needs the local stress tensor, provided by the appropriate result file of the particular FE solver. Additionally the user has to enter some basic information about the material and loading conditions. With that S-Life Plastics provides the resulting static and cyclic utilization ratios as contour plots. For every individual node a comprehensive numerical report of the most important assessment variables can be requested for documentation purposes.

Webinars

Vehicle Lightweighting with DesignLife

The push for lighter weight products continues and with it the challenge increases for engineers to retain the required strength and durability. Fatigue calculations are vital to evaluate where mass reduction can be achieved without sacrificing durability. This webinar will discuss the fatigue calculation methods relevant to maintaining durability in today's advanced lightweight structures.

Webinars

AutoML, Explainable AI, Custom Nodes + More: New Workflow Conveniences in Altair Knowledge Studio

Discover the new capabilities of Knowledge Studio that were released in 2020 to keep the tool moving as fast as science evolves. 2020 has been a slow and complicated year for some industries but not for technology. Technology continues to evolve at a fast pace and so should the solutions that support. Knowledge Studio has added some amazing features in 2020 to keep up with the trends in Data Science. Watch our lively discussion on the following new features: -Explainable AI capabilities for black box models -Automated machine learning for analysts that are not data scientists -Model Stacking to combine learnings from many models -Custom node creation through coding to keep work within the tool -Other new capabilities

Webinars

Compare Model Attributes and Results between Variants and Document/Report Results​

This presentation is by Sagar Rajbhandari, Head of Airframe Models at Airbus. During the virtual product development process, multiple variants of the product or its components will be created and analyzed. It is required to compare these variants in respect to the model properties and the simulation results. General reason for the comparison is the changes in the FEM model and the changes in the loading condition. Any changes of FEM properties / external loads requires visualization & documentation of the impact. The video is about 13 minutes long, and was presented at the Global Altair Technology Conference.

ATC Presentations

Improving the Lightweight Design of an Electric Drive System Using Fatigue Analysis

Innovative lightweight design is the key to reducing consumption and pollutant emissions. Especially the paradigm shift currently underway towards more electrification demands new possibilities for saving weight to be explored. Thus the aim of this webinar is to show how a fatigue life analysis can be carried out for a modern electric drive system. Since vibration phenomena play an essential role here, a modal fatigue analysis is carried out. We present all the necessary steps to set up the modal fatigue analysis in FEMFAT channelmax and the fatigue results. The e-drive system will be subjected to an engine run-up simulation. The add-on tool HARMONIC is used for the data preparation.

Webinars

Altair Monarch with RPA Automation Demo

This demo covers a use case in digital transformation by moving more customers to e-statements to reduce mailing costs, and human touch of mail. Altair Monarch simplifies the process of extracting data from the core banking platform to identify those customers who are still receiving statements by mail. RPA takes the information that was cleaned and properly formatted by Monarch, to enter it into the core banking platform to change the mailing status to electronic.

Demo Models