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.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
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.
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.