For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.
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We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.
Changes in health care are driving more innovative tooling, including new machining strategies and complex cutting tools that help deliver more patient-centered solutions.
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When it comes to being successful, manufacturers today have more tools than ever to succeed. Chris Mahar, Associate Editor of Manufacturing Engineering, talks with Jeff Lage, President, Advanced Manufacturing Technologies at Ellison Technologies, about how Industry 4.0 is helping manufacturers improve operations through data collection and insights. Providing tips on how businesses can get the most capacity out of their machines, remove waste and enable their machines do more.
Laser welding is a superior technology for repairing defects in tooling, plastic injection molds, stamping dies, blow molds, turbine blades, and nearly any tooling component made of stainless steel, aluminum, copper alloy, cast iron, and all tool steels.
Additive manufacturing (AM) is being used to fabricate parts for applications as varied as aircraft and auto production, dental restoration, medical implants and more.
Manufacturing got smart when companies figured out how to make products in one market and sell them in another. Today, we call this supply chain logistics. But somewhere along the way, the innovation chain connecting supply (manufacturing) and logistics (the supporting infrastructure) started to diverge.
Machine vision is proving ideal in helping humans perform tedious but crucial manufacturing tasks. That is why it is poised to grow significantly in the next few years.