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Altair Model-Based Development Customer Stories from 2019 Global ATC

These success stories illustrate how customers are leveraging Altair's Math & Systems technology for Model-Based Development to develop better products, faster. Simulations involve 3D, 1D, and/or 0D modeling approaches based on the integrated use ...

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Development of A new vehicle front sub-frame using Altair Inspire topology optimization

Presentation by Edan Lazerson, CAE Engineer, Plasan.


The Stormrider is a new vehicle which was designed from scratch and developed by Plasan. Altair Inspire was used for Topology optimization In order to find the ""best"" design for the vehicle front sub frame. The available volume (design s

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Transformative Flight Transportation: Challenges Become Opportunities

Advances in energy storage, motor efficiency, and flight control systems have us on the potential cusp of a revolution in air mobility. This comes at a time when many traditional transportation infrastructures are saturated and new modes of mobil...

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AI & The Future of Product Lifecycles

This presentation discusses the changes in product lifecycles in the last decade or so, introduces artificial intelligence and machine learning, and how it fits with simulation & engineering. Simulation and machine learning product lifecycles, and...

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Meet your Energy Efficiency Goals in your Electrification Projects with Simulation

Electrification is one of the main means of creating a low-carbon economy, allowing to use renewable energies and energy efficient technologies. Electric power enters many industries and also impacts our everyday lives, especially with the electr...

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Using Machine Learning and Optimization to Develop e-Motor

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...

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Upcoming New Wireless Solutions and Applications, including 5G

The rollout of 5G technology is going to be a boon across many industries globally, with the expansion of IoT and connected devices, and where lower latencies are opening the door to time-critical areas like autonomous vehicles, industrial IoT and...

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Get in the Groove with HPC

PING continues to be a leader in the high Moment of Inertia MOI product category by leveraging both HPC and Altair tools to develop the most forgiving clubs in the industry. Due to the increased amount of data needing to be transferred from the H...

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An Efficient and Automated Design Strategy for Multi-physics E-Motor Development

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 electromagn...

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Expert Emulation in Crash Optimization using Machine Learning

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 co...

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Product Development with a Multi-attribute, Single Model Workflow

This presentation discusses an efficient work-flow for multiple attribute analysis and optimization using Altair HyperWorks CAE tools with the HyperMesh pre-processor and OptiStruct solver. A single finite element model has been built with all the...

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Optimizing Powertrain Efficiency and Thermal Management for Improved Vehicle Performance and Energy Efficiency

This presentation focuses on presenting a synergy of different simulation methods and tools towards the accurate prediction of power losses, oil distribution and thermal effects focusing on an automotive and aerospace gearbox example. A number of...

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Machine Learning in 3D: Teaching Algorithms to Organize, Judge and Generate Parts

This talk presents the challenges of using 3D geometry in machine learning and demonstrates new techniques that Altair is using to teach algorithms about our 3D world.

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Empowering Aerodynamic Design Exploration – Volkswagen Group Research Case Study

This presentation highlights Volkswagen Group Research’s novel approach to early-stage aerodynamic performance improvement using a combination of Altair’s simulation technology and VW’s proprietary reduced-order modeling technology. The unique te...

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Physics-based Cell and Pack Models for System Simulation

Sendyne, part of the Altair Partner Alliance, provides a virtual, physics-based battery model called CellMod Virtual Battery for real-time co-simulation for individual cells and packs. This presentation provides a brief overview of the battery mod...

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Human Plus Machine: How Sarcos is Revolutionizing the Future of Work with Industrial Robotics

With the prospect of increasing labor shortages among a wide variety of industries, combined with the significant costs of occupational injuries and the ever-increasing pressure to increase productivity, leading robotics company, Sarcos is in a un...

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Modeling the Thermal Runaway Behavior of Li-ion Batteries upon Mechanical Abused Loading

This presentation demonstrates Altair’s capability of simulating the behavior of a mechanically damaged battery from a cell to a pack integrated in a vehicle, based on collaborative research previously conducted with MIT. An innovative approach of...

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

This presentation discusses advancements of the range and quality of products in the last few years at Faraone, thanks to the adoption of both Altair Inspire and SimSolid. SimSolid is a great tool that allows Faraone to study and refine the desig...

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Automotive Cellular Antenna Elevation Angle Study

Automotive and smartphone cellular telecommunication system shares the same root. However, some design parameters should have differences because of different design environment and user experience. One of the big design differences can be found o...

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From MBD to FSI Complete firearm development

Presentation by Eitan Maler, Head of Simulation Department & by Konstantin Arhiptsov, Simulation Engineer
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

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Dynamical RCS - Helicopters in pulsed Doppler radars image 

Presentation by Tal Oz, Officer, Israeli Air Force.

Many modern radars measure the radial velocity of airborne targets using Doppler shift to distinguish between real targets and clutter (trees, clouds, birds). Radial velocity and Doppler shift are directly related for regular airborne targets s

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Enterprise Computing Technical Day

Presentation by Zohar Levy & Ketan Kulkarni, EC Experts at the ATCx in Israel, Netanya on October 30, 2019.

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Design for Additive Manufacturing with Topology Optimization

Presentation by Avishai Warszawski, Mechanical Designer at IAI, Israel Aerospace Industries at the ATCx in Israel, Netanya on October 30, 2019.

The goal of this project is to design a lightweight and stiff support bracket for delicate coaxes which are attached to an electronic unit. The machining

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Hyperworks X Highlights & Future

Presentation by Sergi Chanukaev, Country Managing Director, Altair Israel, at the ATCx in Israel, Netanya on October 30, 2019.

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Conceptual Design and optimization of an Electric Motor

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. Th

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Shielding Effectiveness Analysis

Presentation by David Aviram , EM Expert in Israel, Altair.


Presentation at the ATCx in Israel, Netanya on October 30, 2019.

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Design of Broadband GNSS Antennas

Presentation by Oren Mamane - Afeka College of Engineering at the ATCx in Israel, Netanya on October 30, 2019.

ATC プレゼンテーション

The Convergence of Simulation & Data

Jim Scapa brings more than 35 years of business growth, innovation and cultural stewardship to his role as founder, chairman and CEO of Altair.

Jim and two partners identified a need and formed Altair in 1985 with a focus on the then-new field of simulation using high performance computing. Toda

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The role of finite element analysis in the development and optimization of novel sports head protection

Head health and safety has been an emergent theme within the scientific community, with an emphasis on mild traumatic brain injury. Protective equipment, such as helmets, provide a method of reducing the forces of impact that are delivered to the ...

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Integrated Systems Simulation from Requirements

Ed Wettlaufer, Technical Manager Mechatronics Group, Altair [on behalf of NAVAIR]

Government solicitations for proposals, or RFPs, for aircraft and airborne systems require preliminary designs with enough fidelity to accurately predict performance, in order to prove the design's ability to

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Identifying and Capturing Business Growth Opportunities with Machine Learning

This presentation describes how machine learning is creating another disruptive methodology for Maxion Wheels as well as the returns the company is already realizing with this new approach in terms of quality, reliability and profitability.

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The Wahoo KICKR Bike: Designing a Ride Experience that Blurs the Line Between Virtual and Reality

As more products enter the market that simulate real world experiences, consumers' expectations are rapidly increasing. To meet these rising expectations the hardware and controls required are becoming more complex while maintaining time to marke...

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Solving Challenges in Electric Motor Design

Presenter: Berker Bilgin, Assistant Professor of Engineering (ECE) at McMaster University and co-founder of Enedym Inc.

Electric motors in general, are made of certain parts, such as the stator, rotor, coils and magnets, and mechanical parts. These parts might look simple and bulky from th

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Driving Manufacturing Decisions with Machine Learning

Sheet-metal stamping is one of the most common manufacturing processes in the automotive industry, yet it requires experience to sort-out the most adequate and cost-efficient sub-process for every part. This presentation will demonstrate how Knowl...

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The Future of Decision Making

Engineering is in almost everything we touch, a part of every human experience. It’s in the planes and trains we travel in, the cars we drive and the appliances and electronics we use every day.

Engineering advanced products requires a meticulous, Multiphysics development process, in which prod

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ROMs For Battery Cooling Systems

Presenter: Stefano Benanti, R&D materials engineer, Hutchinson

Battery cooling (BC) systems are frequently composed of several parallel branches, each leading to and away from a series of cooling plates. As a correct flow distribution in each branch and overall pressure drop are a key requi

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Smarter ways for Optimizing Product Performance with the help of Altair’s Digital Twin Platform

"This presentation will feature the building blocks that form Altair’s Digital Twin Platform - a comprehensive and flexible toolbox that enables users to build a digital twin that best meets their specific needs.

With the help of the specific use case of TeamTao’s Autonomous Underwater Vehicle (A

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Internal Noise Simulation/Emulation

Presenters: Rafael Morais Cunha, CAE Engineer in NVH, FCA Group & Frederico Luiz de Carvalho Moura, NVH CAE Leader, FCA Group

To make the driving experience more comfortable for passengers inside a vehicle compartment, in an increasingly shorter development cycle, predictive methods for the

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Data Driven Models for HVAC Load Prediction

Consumers electric bills typically have two primary components: energy charges and demand charges. Demand charges are significantly costlier (10 times on average) than normal energy charges because of the inherent production cost to maintain the d...

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Deep Reinforcement Learning for Robotic Controls

Presenter: Dario Mangoni on behalf of Alessandro Tasora, Engineering Professor and Digital Dynamics Lab Leader, University of Parma

This presentation address the use of the Proximal Policy Optimization (PPO) deep reinforcement learning algorithm to train a Neural Network to control a roboti

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