Stuart Bolton wants to quiet things down on our highways and roads. He and colleagues at Purdue University are trying to help tire manufacturers design tires that don't make so much noise. Bolton says that the way tires are made now, especially the shape of the treads, is what makes some tires more prone to noise generation than others. When they interact or smack onto the pavement, the blocky shapes act like hammers, he explains. Underlying reinforcement belts in the tire vibrate and radiate energy outward, producing sound resembling the cones in stereo speakers. Bolton is one of several Purdue University researchers who developed a mathematical model that helps designers identify the portions of the tire that produce the noise. "We've introduced a way of experimentally looking at tire vibration in a way that identifies components that generate the most noise," says Bolton. He measures various vibration waves that travel along the tire's tread band—the outer segment of the tire that includes the reinforcing belts. Specific vibrations are assigned wave numbers. These modes are used for creating graphs that illustrate which vibration is coming from specific portions of the tire. The graphs also indicate which vibrations are likely to produce the most noise. Purdue's Institute for Safe, Quiet, and Durable Highways is working with the U.S. Department of Transportation, Michelin Tire, Continental General Tire Inc., Goodyear Tire and Rubber Co., and Hancock Tire Co. Ltd.
The article gave emphasis on the importance and benefit of using quiet suv tires. Working with tire companies like Goodyear, Hancock and Rubber Co. is a great help to deal with the problem to introduce different ways to lessen the noise.
Really impressive how they mathematically modeled such a complex and dynamic system acoustically. Would be interesting to see how much noise reduction could be achieved using this new analysis technique.
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.