Fog can inhibit the driver's vision and has been among the highest heating, ventilating, and air conditioning (HVAC) complaints reported in recent J. D. Power Initial Quality Surveys. An automatic fog control system which uses the inputs from a unit such as Delphi's Integrated Dew Point and Glass Temperature (IDGT) sensor operates in conjunction with the automatic climate control system to prevent fogging. Unlike an infrared fog detector, the IDGT measures glass temperature, air temperature under the sensor, and the relative humidity of the air to react prior to fog occurring. Recent enhancements in the sensor include improved response for the capacitive humidity sensor in the 80 to 100 percent relative humidity range and more accurate (2 percent) thermistors to measure the fogging condition more accurately. For more information on Delphi's IDGT sensor go to: http://rbi.ims.ca/4914-502
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.