NXdoctor the product data quality (PDQ) validation/repair tool used by Nissan to ensure quality of Siemens NX CAD data, is now being offered to the general public by Elysium.
NXdoctor, a Siemens NX plug-in, validates and repairs 3D CAD data and can be customized by automotive OEMs and other manufacturers to create a single standard across their supply chains. Adopting NXdoctor in the early design phase can help validate and secure the quality of all CAD data sent and received during the product design stage based on the OEM or company’s specifications.
Features of this new general release include:
· PDQ Validation of 27 critical check items and thresholds using ‘Check-Mate,’ which provides the same accuracy as Elysium’s CADdoctor.
· Healing using the ‘Full B-Rep Repair’ (automatic healing of the whole model) or ‘Repair with History’ (PMI and attribute information is stored and only sections with PDQ errors are repaired) option.
· Input and output Elysium Neutral File (ENF) allowing NXdoctor repair results to be used freely on CADdoctor or ASFALIS.
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.