MATERIALS: AGS Technology has launched, on its website, the AGStimator, a do-it-yourself plastic part cost estimator based on its Injectoblend™ line of recycled materials. In less than a minute, the AGStimator can provide a cost competitive injection molding quotation for a structural part made from a choice of high performance AGS Injectoblend™ recycled materials.
The AGStimator requires only nine pieces of information in order to calculate piece part price: 1) Part#/Description, 2) Tooling new or existing, 3) Annual volume, 4) Material type, 5) Part weight, 6) Molding machine size, 7) Cavities, Cycle time, and 9) Labor/Operator requirements.
The AGStimator offers six different Injectoblend™ grades of recycled raw material available to choose from: General Purpose ABS (FABS007), High Impact ABS+PC Blend (FABSPC003), 33 percent Glass Reinforced Nylon 66 (FPA66233), Impact Modified Polycarbonate (FPC120), Acetal Copolymer (FPOM110), and 30 percent Glass Reinforced Polypropylene (FPP330). These six Injectoblend™ grades are the most popular of the more than 50 standard and custom formulations in AGS Technology’s portfolio.
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.