Advanced simulation, new toolpath techniques aid programming of highly complex machinery. CAD/CAM software developers continue to refine simulation capabilities and toolpath techniques that enable programming highly complex equipment including multiaxis and multitasking machine tools.
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The machining challenges for two of the most advanced concepts in cutting tool materials are pretty well known. Cubic boron nitride (CBN) tools of varying designs are being used to cut hardened ferrous metals with or without interrupted cuts, as well as welded and clad metals.
All fixtures are designed to hold a workpiece in position firmly and accurately during a manufacturing process.
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Meeting the needs of the evolving digital manufacturing initiative, Open Mind Technologies (Needham, MA) has recently partnered with Heidenhain TNC controls (Schaumburg, IL) to provide exclusive first use of their new NC code-based machining simulation solution hyperMILL Virtual Machining.
Q&A with Ben Mund, Senior Market Analyst, CNC Software Inc.
I just returned from IMTS in Chicago and my first thought was, “where will I be able to rack up all those bonus steps I got last week?” On the easiest day, I walked 7.9 miles, and I topped 10 miles on two other days. It’s easy to understand why.
Most anyone attending IMTS 2018 is well aware that machine tools are the lifeblood of virtually any manufacturing company. Without lathes and machining centers, parts don’t get made, barstock collects dust on the shelf, and machinists…they’d have nothing to do.
When making over-the-counter and prescription soft-gel products, the dosage that fills each gel cap must be precise. It follows, then, that the system for metering the amount of formulation demands the same exacting level of precision. Such is the requirement at leading contract manufacturers of nutritional and pharmaceutical soft-gel products. To keep their metering pumps and production equipment accurate and reliable, they look to Progressive Tool & Manufacturing Inc. (Greensboro, NC).
My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.