Devcon's liquid Flexane compounds withstand service temperatures ranging to 350F, meeting many OEM applications including strain relief, potting and encapsulating.
These nonshrinking, waterproof urethanes form nonscratching holding fixtures for tasks like patching cable jackets after splicing. Liquid Flexanes produce no VOC emissions, cure at room temperature and are available in several viscosities with cured hardness ranging from Shore A 78 (or lower with Flex-Add additive) to Shore A 97, tensile strengths to 3,300 psi, tear resistances to 515 pli, and dielectric strengths to 350 Volts/mil. They hold up indoors or outdoors under conditions of abrasion, vibration and temperature cycling.
Flexanes for strain relief and potting, encapsulating and insulating electrical connectors, wires and cables include Flexane 80, a medium-viscosity formula that cures to semi-rigid rubber and Flexane 94, a low-viscosity encapsulant that fills voids completely and cures to a rigid rubber. Flexane Fast Cure Liquid is a faster-curing formula. For more information on Devcon Flexane, go to http:// rbi.ims.ca/4933-502.
A new service lets engineers and orthopedic surgeons design and 3D print highly accurate, patient-specific, orthopedic medical implants made of metal -- without owning a 3D printer. Using free, downloadable software, users can import ASCII and binary .STL files, design the implant, and send an encrypted design file to a third-party manufacturer.
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.