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New collaboration to provide increased exposure of resources

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.

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.

In our May webinar titled “Lasers in Manufacturing: State of the Art in 2018,” we noted the emergence of some novel technologies to produce the “holy grail” of laser welding: spatter-free joins with no porosity and, when required, highly aesthetic outcomes.

Manufacturing Engineering: What are some of the latest trends in simulation software for manufacturing? Uwe Schramm, CTO, solvers, optimization and multi-physics, Altair Engineering Inc., Troy, Mich.: I see three trends here. First, manufacturing sim

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

The pace of technology today is rapid, with the potential to transform manufacturing. Digitization, automation, and connectivity are opening many new doors on the production floor.

“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.”

VMCs have had a productive past, present and the future looks promising

Modern manufacturing is rapidly adopting model-based definition (MBD). When employing an MBD strategy, the CAD model becomes more than the nominal to which all parts are measured and inspected against. MBD keeps the all-important digital thread intact—from design to manufacturing to inspection and quality reporting.