MATERIALS: Minnesota Rubber and Plastics (MR&P) provides medical device manufacturing of complex medical assemblies made of molded rubber and plastics. Operating an ISO 13485:2003 certified quality management system, MR&P is experienced at manufacturing and assembling medical devices in Class 10,000 and Class 100,000 clean rooms and is equipped to provide assistance with design and materials engineering.
MR&P molds and assembles medical devices requiring high tolerance components that facilitate device function. Device designs include seals that isolate fluids, internal bosses for aligning actuating mechanisms containing washers and springs, and snap-fit designs that lock the assembly together without the use of adhesives.
MR&P’s precision molding capabilities comprise silicone molding and bonding, processing of high-performance rubber and plastics, rubber-to-plastic conversions, and metal-to-plastic conversions. The company molds a variety of materials, including compounds compliant with ISO 10993, USP Class VI, and FDA requirements. It produces needle-free injection devices, surgical instruments, diagnostic instruments, valves, pumps, connectors, diaphragms, plunger tips, seals, laboratory equipment and disposables, among other devices.
At the Design News webinar on June 27, learn all about aluminum extrusion: designing the right shape so it costs the least, is simplest to manufacture, and best fits the application's structural requirements.
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 radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.