Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
December 1, 2015 · When simulating flows, turbulence is a huge challenge. But there are models and methods that can help make turbulence modeling less grueling.
November 17, 2015 · COMSOL Multiphysics 5.2 offers hundreds of improvements that make building collaborative simulation apps easier and faster.
November 12, 2015 · The PCNC 440 could be the answer to many shops' need for an in-house machine for prototyping and product development.
November 10, 2015 · Designing safe and reliable lithium-ion cells and battery packs presents an array of engineering challenges. Here's a resource to address the multiphysics, energy density and more.
November 5, 2015 · Parallel processing enables you to simulate and render larger, more complex models like never before. But can you better leverage parallelization technology? What can you expect in the future?
October 13, 2015 · Today’s Check it Out link takes you to a Web resource covering issues like combustion processes like burning coal for power generation or oil for home heating pose an assortment of CFD (computational fluid dynamics) challenges.
September 14, 2015 · According to one study, engineers spend up to 80% of their time recreating the same or nearly the same components that are already designed in-house and, often, in stock.
August 25, 2015 · SRP (subtractive rapid prototyping) – milling – enables you to do a lot of things that you cannot do or do as efficiently with 3D printing. Today’s Check It Out link takes you to a gem of a document that explains how, why and much more.
May 2026 Special Focus: Artificial Intelligence in Design and Simulation
In this Special Focus Issue, learn about the latest developments in the integration of artificial intelligence into engineering workflows.
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
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