Resource Library

Over the past two decades, Altair® OptiStruct® has evolved into a highly capable and competitive solver with comprehensive analysis capabilities that include linear, nonlinear, fatigue, and multiphysics analyses.

This webinar is focused on analysis workflows that address NVH, durability, fatigue

Sheet metal stamping is fundamental to the automotive manufacturing industry. A vast array of different tool, die, and process combinations are employed to create an equally diverse array of components. Traditionally, identifying the optimum appro...

Applied early in the product development lifecycle, Altair® Inspire™ accelerates the creation, optimization, and study of innovative, structurally efficient parts and assemblies. Powered by Altair OptiStruct®, the industry standard for topology op...

Altair simulation-driven design changed product development forever, enabling engineers to reduce design iterations and prototype testing. Discover how Altair® Inspire™ enables rapid design iterations through simplified modeling workflows to help ...

Easily generate dynamic motion of complex mechanisms, automatically identifying contacts, joints, springs, and dampers.

Altair’s artificial intelligence (AI) and machine learning (ML) software helps materials scientists understand how to best fill gaps in their material databases, even when it’s impossible to test all possible variants. These advanced tools also op...

Product engineers are under constant pressure to reduce costs, improve quality and increase the throughput of manufacturing processes. Applying a simulation-driven design for manufacturing (SDfM) approach to product development can help understand...

Digital technology has changed the landscape of manufacturing and product creation: Internet of Things (IoT), artificial intelligence (AI), and data analytics are connecting organizations, generating data, driving more intelligent operations, and ...

IoT-enabled infrastructure in factories produce mountains of data that managers can use to optimize plant operations. IoT technology and the sensors that generate most of this data are key building blocks for executing on the industry 4.0 vision o...

Serba Dinamik is an engineering company specializing in operations and maintenance (O&M), engineering, procurement, construction and commissioning (EPCC), and IT solutions for energy exploration and production firms. Their team worked with Altair ...

Noise reduction is an important issue when developing products and components for railway applications. Recently, Ultimate Europe had to perform an acoustic analysis of a rail carriage bellow. In addition to its own broad portfolio of simulation s...

As part of the global wave associated with Artificial Intelligence (AI), the data transformation pillar is changing the way industrial companies produce and service their products.

New and innovative tools are being introduced within various industries as part of the Industry 4.0 revolution. Th

The simulation-driven design changed 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 p...

Oil and gas wells are equipped with a variety of sensors measuring temperature, torque, friction, pressure, location, volume of production, and rate of penetration. This telemetry data streams into a central control room over low latency message buses, where engineers and analysts use Altair

Marco Fliesser Technical Director Data Analytics EMEA presents "The Value of Data Analytics in the Smart Factory
".

Anthony Mc Loughlin VP Sales Data Analytics, EMEA presents how to empower engineering to make data & AI work.

Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - with self-service data analytics and machine learning solutions.

The ever-changing worlds of manufacturing and data analytics are now converging—and this intersection will soon greatly influence process management and quality engineering.
Yet at all levels, quality professionals are grappling with the what and how of integrating data analytics.

Altair Data An

Samsung SDI is a global market leader in the high technology and environmental battery industry. The company moved from digital display control circuits to battery control circuits, requiring a different approach to new electronic designs and rela...

Machine learning technology leveraging historical and real-time data from sensors mounted to production equipment as well as PLCs, SCADA, and other sources can accurately flag potential failures of whole machines and/or critical components before ...

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 em...

Identifying unusual behaviors or patterns in machine components using sensor data can prevent small glitches from creating major operational problems.

Kevin Kirtley, Executive Lead, GE Aviation Advanced Design Tools, discusses how decision making is choosing the correct solution to meet an objective, assessing possible consequences and applying mitigating actions. When driven by technology, mo...

Stefano Rendino, IT Manager, Ducati Racing, discusses how digital innovation is transforming the way we design, manufacture and service our products. Advanced simulations, data analytics, optimization are paving the road for a greener, safer and faster future.

To maintain a technological advanta

Dan Hollenkamp, COO Toggled™ provides perspective on surviving the LED industry's race to the bottom. Why an LED lamp manufacturer is investing heavily in a connected product line.

The recording is about 14 minutes long, and was presented at the 2020 Global Altair Technology conference.

By extracting real value from their data, manufacturers can make accurate predictions about component life, replacement requirements, energy efficiency, utilization, and other factors that have direct impacts on production capacity, throughput, qu...

Pharmaceutical manufacturing is evolving very quickly. The US Government has indicated a significant interest in bringing back pharmaceutical manufacturing to the US. To create a sustainable pharmaceutical manufacturing industry, we need to use ad...

Warranty claims contain valuable information about product quality and reliability, customer expectations, and can reveal design or manufacturing defects. The proper utilization of this data enables manufacturers to make improvements to existing p...

Predictive maintenance provides a proactive solution to monitor equipment health and predict failures. It enables organizations to avoid machine failures and unplanned downtime, increase equipment and production line productivity, reduce maintenan...

Root Cause Analysis is critically important to the ongoing success of any manufactured product. Detecting design defects, raw material problems, build issues, and quality control shortfalls as early as possible fosters continuous product improveme...

Increase shop floor efficiency by identifying hidden indicators for future down times in your manufacturing assets. Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top...

The presentation will go through a scenario of a smart factory (along the lines of the Industry 4.0 initiative) where a chemical process within a pharmaceutical company produces a substance critical to the production of medications.

Increase shop floor efficiency by identifying hidden anomalies and delivering insights for next-level monitoring and maintenance of manufacturing assets. Explore how Altair enables enterprises to leverage operational data throughout the complete d...

This short video demonstrates machine learning applied to a manufacturing workflow for an organic synthesis process. Altair Knowledge Studio - Altair's solution for advanced machine learning and artificial intelligence - is used in combination wit...

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...

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.

Leading Automotive Parts Supplier Reduces Costs, Increases Accuracy with Greater Efficiency in its Reporting using Altair Monarch

Top researcher Tzuo-Liang Luo from the Industrial Technology Research Institute, Taiwan presents how the industry moves Towards self-learning CNC Tooling Machines and how integrated mechatronics simulation teaches automatic path error adjustment a...

Extended warranties, service contracts, out-of-warranty repair service fees, and other service packs condition customer responses to additional offers and mitigate production quality issues. They can also help modulate demand to match it with the ...