Featuring minimum tensile strength levels of between 1,000 and 1,400 MPa, a series of new cold-rolled ultra-high-strength steels combine superior performance with low weight. Named Docol UHS, the new steels are particularly applicable to the automotive industry. Their high energy-absorbing properties, for example, make them useful as structural members and for components used in a car's crumple zone. Jan-Olof Sperle, research manager for SSAB Swedish Steel, points out that "the steel is hardened before leaving the factory. Consequently, industries using these steels no longer require their own warm-up plants and hardening furnaces." Cutting, shaping, and welding, he adds, are achieved with traditional methods. The Docol UHS series consists of three standard steels: Docol 1000 DP, Docol 1200 DP, and Docol 1400 DP. Numbers relate to maximum loads measured in megapascals, MPa. For further information call Roy Johansson at +46-243-700-00
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.