Engineers still need to make tradeoffs when trying to achieve improved thermal conductivity in plastics. One of the biggest challenges in plastics design today is efficient heat removal from smaller components, some of which operate at higher voltages. Example: LED arrays are becoming more popular in auto headlamps to conserve energy. Research data presented by DuPont at its pre-K 2007 press conference in Prague show three different approaches: 1) Use of high filler content including carbon fiber achieves a high rate of thermal conductivity but is difficult to mold, 2) Boron nitride coated graphite coupled with copper particles coated with glass also work well, but are not cost effective and also have molding issues, and 3) Use of ceramic particles as fillers does not achieve the level of thermal conductivity required by emerging applications.
A recent report sponsored by the American Chemistry Council (ACC) focuses on emerging gasification technologies for converting waste into energy and fuel on a large scale and saving it from the landfill. Some of that waste includes non-recycled plastic.
Capping a 30-year quest, GE Aviation has broken ground on the first high-volume factory for producing commercial jet engine components from ceramic matrix composites. The plant will produce high-pressure turbine shrouds for the LEAP Turbofan engine.
Seismic shifts in 3D printing materials include an optimization method that reduces the material needed to print an object by 85 percent, research designed to create new, stronger materials, and a new ASTM standard for their mechanical properties.
A recent study finds that 3D printing is both cheaper and greener than traditional factory-based mass manufacturing and distribution. At least, it's true for making consumer plastic products on open-source, low-cost RepRap printers.
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.