Materials: Rogers Corp. has issued a new 16-page Material Selection Guide for its BISCO® Silicone material. These materials, which are offered in cellular, solid and specialty grades, are used in a wide range of markets, from transportation and communications to electronics and high-intensity lighting. Applications include gaskets and seals, high-temperature PCB thermal insulation and battery shields, automotive heat shields, and vibration and acoustic mitigation pads.
The new BISCO® Selection Guide includes product samples and tips for materials selection based on market applications. There are specification tables for cellular and solid-grade silicones listing typical physical properties, flammability and outgassing, temperature resistance and electrical/thermal properties.
Additional tables provide acoustic and thermal performance values for specialty silicones; thickness tolerances for cellular standard and solid standard; width tolerance for all three grades; aerospace, global and general industry specifications, and product availability.
Rogers’ BISCO® Silicones are resistant to temperature extremes, UV and ozone, and mechanical fatigue. They also exhibit compression set and creep resistance and carry the most stringent UL flame ratings available.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
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.