Siemens Automotive has under development an advanced catalytic-converter module for passenger-car diesel engines that it claims will reduce nitrogen oxide (NOx) and hydrocarbon (HC) emissions up to 70%. Known as SINOx, the system uses electronics, sensors, and injection technology, along with a reducing agent, to trigger a chemical reaction that converts NOx and HC into non-toxic levels of nitrogen and water. SINOX incorporates a Siemens-developed exhaust-gas management system that consists of: the catalytic converter module, ECU, and sensors; a holding tank, mixing chamber, metering device, measuring unit, and sensor equipment for urea, the system's reducing agent; and a pump and pressure regulator. "The system uses a urea-water solution and injects it into the mixing chamber," explains George Perry, president of CEO of Siemens Automotive. "This results in a chemical reaction that releases ammonia, which, in turn, converts NOx and HC into non-toxic quantities of nitrogen and water." FAX (248) 253-2998.
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.