While Maplesoft is certainly taking its cues from the automotive industry with this latest version of MapleSim, automotive is far from the only industry sector that stands to benefit from use of a physical modeling tool. As products from cars to nuclear reactors to standard household appliances offer feature sets that transcend the different engineering disciplines, having the capability to model system behaviors is all the more critical to separating the product design that works from the one that elicits customer complaints and gets written up as the latest example in Made by Monkeys!
Simulating the action of a hybrid has got to be roughly as complex as simulating the performance of a nuclear power plant. Design engineers have to blend the power from a traction motor, IC engine, generator and planetary gear set, and then determine what's best in terms of torque and fuel efficiency. If this software can do that, then it should make automotive engineering teams very, very happy.
It's quite refreshing to see the automotive industry driving innovation -- or at least adopting the innovations of others. Move over high tech, medical and aerospace, the automotive industry is shaking its image as the purveyor of old-industry technology as it moves to the bleeding edge.
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.
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.