A space for miscellaneous discussions.
Designs of Experiments (DOE) is a branch of statistics that creates systematic sampling patterns that are used to determine cause and effect relationships between inputs and outputs. DOE is a powerful data collection and analysis tool that can be used in a variety of experimental situations. Design of Experiments is…
Introduction: A digital twin is a computerized model of an object or a system that covers its entire lifecycle. It utilizes real-time data for constant updates, and integrates simulation, machine learning, and reasoning algorithms to support decision-making. Sensors are used on physical objects to gather data on crucial…
Optimize model performance in Compose signalAI by hyperparameter tuning In the previous article, we had discussed about how the end-to-end modelling process looks like in Compose “signalAI director” and also learnt about the algorithms available within the director. Picking up from where we have left, in today’s blog we…
Recently, Altair has introduced DesignAI, an application that combines physics-based simulations and machine learning to identify high potential designs early in the development cycle. DesignAI integrates all aspects of Altair's vision for computational science: simulation, data analytics, and high performance computing.…
Altair® EDEM™ offers several resources to speed up your learning with the software. If you are new with EDEM, we have eLearning courses, How-to videos in YouTube, and online tutorials for all levels. These 4 EDEM resources will help you with learning the basics of our software. Check the resources sections below, and…
Have you seen the new “AI/ML” group on the “Assembly” ribbon in HyperMesh? These tools are powered by shapeAI, a technology which allows us to interpret geometry and mesh into a format on which we can use machine learning. Match lets you find or group components by similarity. In this blog you can see an example of how…
OptiStruct can calculate and output design sensitivities for structural optimization problems. Prerequisite: Create a shape or sizing optimization .fem deck for OptiStruct. Sensitivity analysis is a technique to understand how certain responses in a design optimization problem are influenced by changing the values of the…
Hi Altair Community! This is the first time (hopefully out of many) that I am posting a blog post, so bear with me in my attempt to start a discussion regarding my use of Altair Tools. I was recently in a discussion with a client who was looking at predict stress-strain curves for their materials, specifically to reduce…
Today I’d like to give a sneak peek at Altair physicsAI: a new tool for making fast physics predictions. physicsAI learns from your historical simulation data, extracting the relationships between shape and engineering performance. Once trained, physicsAI models output fully animated contours at speeds 10x-100x faster than…
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