Looking to apply more structure to engineering simulation? ANSYS Inc. has a new product it claims can help do just that.
The new ANSYS Engineering Knowledge Manager (EKM) is positioned as a solution for bring data management and process management to simulation efforts. Sort of like a Product Data Management (PDM) tool, but tuned specifically to the requirements of simulation analysis.
According to officials, ANSYS EKM offers collaboration and communications functions, ensuring engineers transfer the right simulation information to the right people when it’s needed. The software has support for archiving and managing simulation data, historic tracking of files, advanced search and retrieval functions, report generation, simulation comparison tools along with workflow automation, collaboration capabilities and the ability to capture and deploy best practices.
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.