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Simplifying and Moving Beyond Five-Axis Machining

Five-axis machining, once a novel and somewhat forbidding technology, has become routine in many shops. Meanwhile, some organizations are still hesitant to use it, largely due to programming concerns.

New Tech Powers Grinding Ops

Abrasive machining is a tried-and-true technology for meeting exacting tolerances and producing superior finishes. Manufacturers continue to develop new capabilities.

AI Enters Inspections

An Israeli company has developed new artificial intelligence technology that promises to dramatically change how original equipment manufacturers and their suppliers conduct quality control inspections.

Swiss Machining Made Simpler

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.

Quality Assurance Passes with Flying Colors at IMTS

The world of quality measurement devices and software continues to expand, and IMTS years are especially exciting times. If there is a theme in the many offerings—new devices, new software—it might be how quality devices are continuing to burrow their way into the heart of manufacturing on the shop floor.

Hot Techniques for Cutting High-Temperature Alloys

For Dale Mickelson, Yasda product manager at Methods Machine Tools Inc. (Sudbury, MA) and author of several books on hard milling, tackling heat-resistant superalloys (HRSAs) requires the perfect combination of machine, workholding, tooling, tool paths and coolant.

Multi-Purpose Machine Tool

So you’ve heard all sorts of good things about Swiss-style, sliding headstock CNC lathes and have been thinking about investing in one.

Metrology Gets Connected

“Metrology and its relationship to manufacturing is rapidly evolving,” Ken Woodbine, president, Wilcox Associates, a brand of Hexagon Metrology (North Kingstown, RI), recently observed. “We are seeing larger quantities and faster speeds of measurement data collection. The next challenge is what to do with all that data.”