One of the ways that companies test new product concepts is by building physical prototypes and letting users try them. Seenu Srinivasan, a Stanford Business School professor of marketing and management science, thinks that virtual prototypes created online might make more sense than physical prototypes for some companies. His research indicates that virtual prototypes provide nearly the same results as physical prototypes. He quickly adds that virtual prototypes are often much less expensive to build and test than their physical protocounterparts. "The Web reduces the uncertainty in new product introduction by allowing product testing of more ideas in parallel," says Srinivasan. He worked with a bicycle pump manufacture that compared a new pump design against competitive designs. They found that the virtual prototype worked as well as the physical prototypes when predicting which design would be most successful. However, Srinivasan also says virtual prototypes are not perfect. "It remains to be seen which goods are best suited to virtual visual testing." For more information, go to www.gsb.stanford.edu.
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.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
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.