Ansys Inc. has released Version 4.0 of its FLUENT for CATIA V5, an upgrade to its computational fluid dynamics (CFD) tool that offers new capabilities for engineers working in Dassault Systemes’ popular 3-D CAD environment.
FLUENT for CATIA V5 offers performance improvements along with new physics models that extend the analysis capabilities to different types of products. For example, a new species transport model allows the modeling of mixtures of fluids with different properties, making the tool well suited to handle analysis of equipment like paint mixers, fire risk detection systems, airplane cabin ventilation and water treatment systems. A new cavitation modeling feature will allow for performance optimization of fuel injectors used in car and motorcycle engines, along with rotating pumps. New heat transfer boundary conditions let automotive makers model the cooling of brake rotor disks.
Other improvements include optimized memory management for handling large models more efficiently, usability improvements and new algorithms to boost performance.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.