Adaptive Milling. Dynamic Motion. hyperMILL. Profit Milling. VoluMill. Waveform machining. If you’re one of the lucky people who machines parts for a living, chances are about 50-50 that you’re using one of these or a comparable high-performance programming technology.
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Rod Zimmerman of cutting tool manufacturer Iscar Metals lives in a pleasant green zone in a Fort Worth suburb. Yet within a half mile of his home, an oil company has sunk a vertical hole 7,500′ (2,286 m) deep, from which it has splayed nine lateral lines, each going about half a mile.
Swiss-style machine tools can be a good choice for making complex parts. On the downside, however, Swiss machining itself has a reputation of being complex—and, therefore, more difficult to master than standard machining.
One of the key advantages of additive manufacturing is its digital thread, which allows for rapid communication, iteration, and sharing of a design model and its corresponding physical representation. While this enables an efficient design process, the flow of data opens vulnerabilities to cyber-attack.
The U.S. auto industry has been automated for decades. Production of cars and trucks is associated with large, hulking robots fenced off from human employees. Inside those fenced off areas, tasks such as welding are performed. The industry, though, is advancing on the automation front.
Efficient creepfeed grinding can remove material quickly and produce a precision ground surface on challenging materials. However, since creepfeed grinding applications typically draw more power and have higher forces, there are important considerations to pay attention to during application setup.
The growing skills gap is causing trepidation among manufacturers and the lack of millennials building careers within the industry is part of the concern.
The world of additive manufacturing (AM), commonly referred to as 3D printing, is quickly changing. The technology allows companies to manufacture products faster, with greater variation, and often with entirely new forms and functions.
The state of manufacturing is always a combination of tried and true methods; improvements (sometimes dramatic) in traditional processes; and brand new technology few people even conceived of a few years ago.
The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.