A common problem in molding high-precision plastics involves getting the molds sized so that parts come out in the correct size and shape. C-MOLD, a producer of CAE tools, thinks it has solved the problem, particularly for such unwieldy semi-crystalline materials as nylons or PETs, based on new simulation software it has developed. The "scientific procedure" for capturing the effect of crystallinity on material properties is based on research done by C-MOLD, the Cornell Injection Molding Program (CIMP), and experimental validation performed by the Polymers Department of the GM Research and Development Center. With the simulation, "we can now capture the cooling rate dependence of (shrinkage and warpage) properties by incorporating crystallization kinetics," says Manju Mahishi, project leader. No other simulation software uses fundamental material properties that yield this level of accuracy." E-mail email@example.com.
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.