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Metalworking machines are fast, powerful, and accurate, but they weren’t always as capable as they are today. Modern equipment is more nimble, flexible and adaptable. The machines collectively exceed the sum of their parts.

Automated manufacturing operations are finely tuned ecosystems in which all components must function in complete harmony. Grippers used to pick and place, orient and hold components or end products at various points along the production chain are key to this process.

In a perfect CNC world, the first part is always a good one. There’s no need for extra blanks or barstock. Setup times are only as long as is needed to swap out a few tools and load a new program. There’s never a crash, never the need to reprogram an inefficient bit of code. The operator just pushes the green button and out pops a finished workpiece minutes or hours later.

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.

Drilling advancements have spurred the evolution of oil and gas operations from simplistic single-well pad fields to more complex multi-well pads. Today, many producers are using fracking and lateral drilling techniques to place 10 or more wells on one pad.

Erik Anderson, president and CEO of Basin Precision Machining LLC, has determined that setups are the root of all evil when it comes to manufacturing productivity. They cause part variations, downtime, and high-percentage scrap rates.

With larger turbine components, compared to automotive and aerospace, plus assembly challenges, new machining technologies are gaining popularity. The conventional milling and broaching techniques in turbine blade machining, with the high tooling costs and abrasive flow issues, are fast fading, as modern assembly methods continue to drive machining tolerances to new heights

US manufacturers are discovering the policies of the Trump administration aren’t like a cafeteria. You don’t get choose which policies you want.

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.

As OEMs and suppliers alike wrestle to convert Big Data to Smart Data, Industry 4.0 and digitalization, plus cloud-based technologies for production monitoring and management, how do manufacturers best work together with end-users to achieve today’s production targets and plan future facilities?