Resources | Altair HyperWorks
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Simplify and Scale FEA Post-Processing - Read, Manipulate, Create, and Visualize Custom Simulation Results with Altair Compose®

An engineer working for Northrop Grumman Systems Corporation Marine Systems (NGSC-MS) was given a project to improve their teams’ current NASTRAN results post-processing workflow by writing a script to automate the task. They reached out to Altair for collaboration and Altair engineers were able to quickly determine that Altair’s mathematical modeling environment – “Altair Compose” – would be the ideal solution due to its ability to read, manipulate, and write NASTRAN results. Also, the Open Matrix Language is a scripting language that is familiar to the engineering community. Given sample NASTRAN results and requirements Altair engineers provided a “template” script. The NGSC-MS team was able to quickly understand and modify the script to their goals. The custom results were then viewable in HyperView as a contour plot, which saved a considerable amount of time during post-processing and documentation workflows.

Customer Stories

Lighter, Stronger, Quieter Vehicles - New Design Space Workflow for Structural Inserts at Sika

Sika is a specialty chemicals company, and a leader in developing and producing systems and products for bonding, sealing, damping, reinforcing, and protecting in the building sector and automotive industry. Offering a wide range of BIW noise reduction and vibration damping solutions and addressing problems encountered in automotive development, Sika is a key development partner for OEMs and suppliers. Sika’s structural systems team focuses on solutions reinforcing the customer’s BIW and NVH issues. Using the Altair design space workflow, Sika engineers eliminated time-consuming steps in their workflow. This let them make faster decisions - instead of hours in the prior standard workflow, it now only takes minutes. Modeling time was reduced by 70%, giving the team to spend more time gaining a deeper knowledge of the part and its improvement. Sika won the 2018 Altair Enlighten Award with its ultra-lightweight constrained layer material composite for structure-borne noise reduction.

Customer Stories

Optimize Structural Components - Slashing Model Build Times Using Local Design Space Workflow

For more than 60 years, L&L Products have been providing unique solutions to the automotive industry. L&L Products Composite Body Solutions (CBS™) structural reinforcement technology is commonly used to enhance overall body-in-white (BIW) stiffness, other benefits include load path management, section integrity, light-weighting, increased durability, while having no impact in body shop practices. CBS™ aims to deliver an efficient solution for both current and future-ready applications requiring lightweighting. L&L Products reduced their concept topology optimization model build times by 80% by using the Altair® HyperWorks® Local Design Space workflow. The ability to create models more efficiently provides a mechanism to arrive at an optimal solution quickly, streamlines in-house processes removing the dependency on other teams, and provides an opportunity to explore more design variants to arrive at a truly optimal solution.

Customer Stories

Using Machine Learning for Manufacturing Process Improvement

Renishaw uses Altair signalAI to deliver advanced digital gauging with real-time melt-pool analytics. This AI-driven quality assurance process helps Renishaw identify manufacturing anomalies earlier, develop parts quicker, and realizes a stable production.

Technical Document

Accelerating Engineering and Design Processes using Solutions from Altair and Dell Technologies

Martinrea International Inc. is a leader in the development and production of quality metal parts, assemblies and modules, fluid management systems, and complex aluminum products. Martinrea’s engineering and design teams need reliable high performance solutions to accelerate product development cycles. See how with the use of solutions from Altair and Dell Technologies systems, Martinrea is saving both time and money.

Case Study

Sustainable Design with Circular Product Lifecycle Management

Leveraging material data, integrated simulation, data analytics, and AI, Altair's solutions are driving a shift to circular design, creating regenerative, closed-loop systems that use a product, its materials, and its components at their highest value for as long as possible, while minimizing the creation of waste.

Product Overview Videos

What is Sustainable Product Design?

Circular product lifecycle management benefits industry and the earth by considering what the product you're developing will become in the future.

Product Overview Videos

How Do Companies Achieve Sustainable Product Design?

Refining their processes to capitalize on resource efficiency, manufacturers today are relying on smart, connected technology to make their products more sustainable.

Product Overview Videos

How Does a Digital Thread Make Products More Sustainable?

Altair makes sustainably-driven product design possible by weaving a digital thread through its development, testing, and operation.

Product Overview Videos

The Future of Design Exploration with AI-powered Design

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.

Future.Industry 2021

Digital Twins

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

Future.Industry 2021

Lightweighting Made Easy with Design Space for Topology Optimization

With lightweighting at the forefront of the sustainability discussion, Altair HyperWorks has introduced a targeted environment to rapidly create models for topology optimization. The complete HyperWorks Design Space environment includes an automotive-only non-design space library, collision detection, and a fast and efficient voxel Boolean mesh engine. It facilitates the creation of new model variants in seconds without the need to go back to CAD. In addition to automotive BIW architecture studies, it supports design space local and global modeling for generic sub-systems throughout different industries. The concept adhesive workflow is also available to identify location of structural adhesive.

Future.Industry 2021

romAI: Leveraging AI to Generate Reusable Real-time Compliant Dynamic Models from Data

Nowadays, many Machine Learning techniques able to identify dynamic models from data are taking hold. But, can we support the learning phase leveraging our expertise obtaining models with better generalization property? To tackle this need and others we have developed a novel approach, romAI. This application combines AI and system modeling techniques to generate reusable continuous dynamic models extremely time-efficient, hence used as Reduced-Order Models to speed-up system design and optimization or in Digital Twins/Simulators for real-time applications.

Future.Industry 2021

Build Models Faster with Parts, Subsystems, and Connectors

In this session, we showcase the build and assembly of a full system model. Driven by Parts, Subsystems, and Connectors, the Altair HyperWorks™ model build and assembly workflow facilitates representation, revision, and configuration management for subsystem and system-level model building. We also demonstrate Altair’s AI-driven workflow to automatically group identical or similar parts.

Future.Industry 2021

Commoditization of Geometry, Meshing, and Morphing Workflows

In this session, we will showcase HyperWorks’ brand-new sketching tools, and some of the latest developments around geometry handling and mesh generation techniques, including midmeshing, mesh controls, tetra, and hexa meshing. We also show examples of using morphing to reshape parts for design, optimization, or assembly purposes.

Future.Industry 2021

Efficient Simulation Data Processing in HyperWorks

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

Future.Industry 2021

The Power of AI and ML in Product Design

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.

Future.Industry 2021

Reduce e-Motor Multiphysics Optimization Cycle from Weeks to Hours

By combining computationally efficient reduced-order models and detailed CAE analysis with process automation of repetitive and tedious tasks, Altair provides workflows for early system models, mixed-fidelity simulations, and multiphysics validations, across domains including electrification or advanced manufacturing. In this example, we're showing the end-to-end multiphysics optimization cycle of an electric motor, reducing the simulation process time from weeks to hours.

Quick Start

Bringing Augmented Intelligence to a Broad Range of CAE Tools

Engineering adoption of AI is transforming product development yet again. AI-driven design, augmented simulation, and predictive analytics are all contributing to increase collaboration, speed up design convergence, and achieve greater product innovation. 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 by applying machine learning.

Quick Start

Efficient Model Build: Automatic Connection Generation

An important and highly time-consuming step of the CAE model build process is defining which parts of the model are fastened to each other and the method used, be it welds, bolts, adhesives and more. In this webinar we explore how Altair’s user-friendly connectors workflow can rapidly accelerate the process of creating, visualising and editing connections between parts and subsystems in a highly automated, repeatable and reusable way.

Contents:
- Introduction
- Connectors: controls, browser, workflows, and attachments
- Demo example
- Q&A

Duration: 53 minutes

Webinars

Efficient Model Build: Automatic Mesh Generation

Meshing is a time-consuming process yet critical to obtain high-quality results. In this webinar we introduce Altair’s automated meshing technologies and end-to-end workflows for meshing of complex parts.

Contents:
- Introduction to Altair
- Automated Meshing in Altair Hyperworks: BatchMesher, Rebuild, Midmesh, Replicate
- Summary
- Q&A

Duration: 55 minutes

Webinars

Efficient Model Build: Managing Multiple Parts and Configurations

Engineers are working with increasingly large and intricate models with different variants. In this webinar we look at how you can organize and manage parts with different configurations easily using Altair’s Part Browser, working from a common model that can be used by multiple teams, including crash and NVH, in parallel. We also introduce Altair Model Libraries and show how they enable distribution of tasks and collaboration between teams both local and remote.

Contents:
- Model Build & Assembly Workflow Overview
- Parts: Part Browser, Parts representations, revisions and configurations
- Subsystems
- Summary
- Q&A

Duration: 60 minutes

Webinars

Driving a Sustainable Rail - Cargo Solution Simulation Helps TransANT Meet Weight and Weld Certification Requirements

While rail is the most environmentally friendly means of transport, freight trains today do not look much different than those from the past. To reach the climate and energy targets of the European Union while achieving higher payloads and a better ROI, the railway sector needs an innovation boost to build more efficient and sustainable rail freight wagons. TransAnt GmbH, a joint venture with ÖBB Rail Cargo Group and voestalpine Steel Division, was established to bring more efficient and sustainable rail freight solutions to the market. With its innovative concept based on modularity and lightweight design, once operational the company seeks to revolutionize the market as a full supplier of freight wagons. The company used Altair® HyperWorks® for topology optimization – in particular Altair® HyperMesh® – to realize the transition to a weldable structure, Altair® HyperView® for pre- and post-processing, and Altair® OptiStruct® for FEA (including local buckling) and optimization.

Customer Stories

What is Simulation Doing for Machine Builders

A key development goal of any machine-building project is to produce perfectly running, reliable machines that make high-quality products. By leveraging accurate virtual prototypes, seamless production can be ensured earlier in the development process to help assess and improve product profitability.

Technical Document

Data Discipline: Managing Engineering Data for AI-powered Design

The advancements in the fields of AI and ML, combined with the increased availability of robust simulation, testing, and field data sets has made engineering data science a critical component of the modern product development lifecycle, but in order to extract maximum value from these exciting tools, companies need a plan to store, manage, and utilize their data efficiently. They need data discipline

Technical Document

Applying Machine Learning Augmented Simulation to Heavy Equipment

Simulation-driven design changed heavy equipment product development forever, enabling engineers to reduce design iterations and prototype testing. Increasing scientific computing power expanded the opportunity to apply analysis, making large design studies possible within the timing constraints of a program. Now engineering data science is transforming product development again. Augmented simulation features inside Altair® HyperWorks® are accelerating the design decision process with machine learning (ML). The power of ML-based AI-powered design combined with physics-based simulation-driven design leveraging the latest in high-performance computing is just being realized.

Technical Document

AI-Powered Product Design

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

Future.AI 2021

Ensuring the Highest Bus Safety - Altair Simulation Helps Gemilang Achieve Excellent Rollover Rating

In an effort to increase transportation safety, today’s bus rollover and crash test regulations have become more stringent. To ensure all products achieve the requisite safety regulations, Gemilang set up dedicated in-house testing facilities, including a tilt test platform to assess the stability of the vehicle, and a rollover test platform to ensure bus safety in the event of a rollover accident. Gemilang decided to leverage computer-aided engineering (CAE) simulation technologies to facilitate the bus rollover assessment during the early stage of product development and selected Altair as its technology partner.

Customer Stories

Less Weight, More Freight

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

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

Presented at the ATCx Heavy Equipment in May 2021.

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

Duration: 20 minutes

Conference Presentations

Using FEA for train homologation - modeling bolted assemblies, composites parts, and topology optimization

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

Presented at the ATCx Heavy Equipment in May 2021.

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

Duration: 20 minutes

Conference Presentations

Simulation and Digital Twin Adoption in the Industrial Machinery Industry

In 2021, Altair sponsored an SME audience survey to learn more about the adoption of engineering simulation and digital twin initiatives within the field of industrial manufacturing. This poll of 124 manufacturing professionals produced some interesting findings about how companies currently use simulation as well as what the biggest roadblocks are in the way of future technology adoption, including the use of digital twins.

Brochures

Next Generation Altair Hyperworks 2021

The latest HyperWorks® 2021 provides easy-to-learn, effective workflows that leverage domain knowledge and increase team productivity, enabling the efficient development of today’s increasingly complex and connected products.

Intuitive direct modelling for geometry creation and editing, mid-surface extraction, surface and mid-meshing, and mesh quality correction, combined with efficient assembly management provide all the capabilities required for fast, accurate model creation and evaluation of design alternatives and product variants in less time.

Webinars

AI Powered Product Design

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.

ATCx Industrial Machinery 2021

Manufacturing Process Simulation The Right Model for the Right Decission at the Right Time

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

ATCx Industrial Machinery 2021

Support Optimization in Inspire Print3D

Altair Inspire Print3D offers an intuitive, process-driven user experience enables users to gain deep manufacturing insights quickly, driving faster and better design decisions. It allows to easily generate support structures as part of the design process, interactively creating and editing supports within the same environment as the designed part.

Product Overview Videos

Results Visualization in Inspire Print3D

Altair Inspire Print3D offers an intuitive, process-driven user experience enables users to gain deep manufacturing insights quickly, driving faster and better design decisions. Leveraging the embedded thermo-mechanical solver, users can easily detect and visualize defects – large deformation, excessive heating, delamination – to aid design or process modification.

Product Overview Videos

Faster evaluation of real-world machines - Vibration Reduction with topology optimization

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

ATCx Industrial Machinery 2021

From CNC Jobshop to the largest manufacturer of CNC Rotary tables

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.

ATCx Industrial Machinery 2021

The Digital Approach to Industrial Machinery Design

The need to design more complex industrial machinery on shorter timelines means that companies ask engineers to do more with far less. Chad Jackson, CEO of Lifecycle Insights, describes the digital approach to industrial machinery design and explains strategies leveraging Simulation, Data Science and High-Performance Computing. He shows how companies creating equipment that increases cycle speed and improves yields in this technical report. The E-Book covers the following topics: - THE DEVELOPMENT CHALLENGE OF INDUSTRIAL MACHINERY - ADDRESSING STRUCTURAL STRESS AND STIFFNESS - ARCHITECTING AND VALIDATING SYSTEMS DESIGN - SELECTING THE RIGHT ACTUATION COMPONENTS - MITIGATING VIBRATION AND EXCITATION - PLANNING AND VALIDATING CONTROLS DESIGN - STREAMLINING COMMISSIONING - MONITORING THROUGH FIELD DATA - RECAP AND CONCLUSIONS

eBooks

The Culmination of 30 Years' Investment in Productivity Tools

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.

Conference Presentations

Evolution of Model Build at Jaguar Land Rover

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.

Conference Presentations

Fast, Intuitive Workflows with the Industry Leading Pre-Processor

Steve White looks after Altair’s UK technical support team having joined the company in 2018. In his presentation, Steve is going to give us a brief overview and demo of the HyperWorks pre- and post-processing solutions, demonstrating the intuitive user interface and efficient workflows that can lead to significant time reductions in your model build activities.

Conference Presentations

Accelerating Turbofan Structural Design with Altair HyperWorks

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

Conference Presentations

Streamline the CFD Modelling Process with Altair’s Dedicated CFD Simulation Environment

Gonçalo Pereira, Principal Application Engineer at Altair, gives an overview of the all new HyperWorks CFD to demonstrate the latest streamlined workflows and optimised technologies dedicated to CFD Application. This new App opens the door to a Solution focused workflow that enables each user to access intuitive CAD clean-up tools, efficient surface and volume meshing and easy to use model set-up for flow and thermal simulations.

Conference Presentations

Increasing Productivity for CFD Model Build

Matt Bone, CFD engineer at Totalsim takes us through Totalsim's deployment of Altair’s pre-processor, which now comes equipped with a full suite of tools for CFD meshing and model set-up. We’ll see some of the automated tools can fill holes and gaps between parts and wrapping techniques to create exterior watertight meshes or cavity meshes, all built around saving you time with you CFD model build.

Conference Presentations

Accelerate Your Composite Design Process with a Revolutionary Modelling Workflow

Julien Hoyez, Senior Application Engineer at Altair takes us through Altair’s revolutionary new composite modelling workflow, aimed at accelerating and simplifying every stage of pre-processing. Julien will show us how the dedicated Composites Browser in HyperWorks 2020’s streamlined and intuitive interface enables you to rapidly model, manipulate and review ply-based models.

Conference Presentations

Rapid Modelling of Chopped Fibre and Recycled Composites

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.

Conference Presentations

Accelerating the Design of a Composite Bridge Structure with Geometry Morphing

Kenneth King is a Stress Engineer for the aerospace sector for Atkins. He’s is a chartered engineer with over 10 years’ experience in stress analysis using hand calculations and finite element analysis. While working at Atkins Aerospace he has been involved in projects on Airbus A350 and Single Aisle Aircraft. In addition to aerospace sector, he has worked in infrastructure, rail, offshore wind, nuclear and oil & gas sectors. Kenneth shows us a real life example of how Hypermesh has saved modelling time of finite element models when designing composite bridge structures. He will show us how the Hypermorph module in Hypermesh can be used to drive the design analysis cost down by reducing model creation lead time.

Conference Presentations