When it comes to new product development, nothing gets the fingers pointing faster than spiraling costs. But the buck really stops with the design engineer.
'Design engineers influence anywhere from 70-80 percent of a product's total cost,' says Nick Dewhurst, a design-for-manufacturability expert and executive vice president of Boothroyd Dewhurst, a software and consulting firm that specializes in making designs more cost-efficient. Put differently, engineers may not have to pay the light bill at the factory, but their choices partly determine how long those lights stay on every day.
In this special report, we show you how to avoid hidden costs in the following areas:
Casting a Big Shadow: Design engineering overhead may be small, but design engineers exert a huge influence on cost. Design for manufacturability experts at Boothroyd Dewhurst estimate that design engineers make decisions that ultimately influence about 70 percent of the total cost.
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.
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.
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.