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Proper drill selection, the geometry built into the drills themselves, applying proper drilling parameters, and a few tips and tricks from the pros can address nagging drilling problems such as drill breakage, unbroken chips, tool runout, poor hole edges, and poor tool life.

Necessity, as the saying goes, is the mother of invention, and this symbiotic relationship between need and solution was on full display at a recent two-day, two-location event hosted by GF Machining Solutions.

Hybrid manufacturing—using one machine to perform both additive and conventional subtractive manufacturing processes—is gaining traction across manufacturing sectors, allowing companies to leverage the benefits of both.

Laser welding is a superior technology for repairing defects in tooling, plastic injection molds, stamping dies, blow molds, turbine blades, and nearly any tooling component made of stainless steel, aluminum, copper alloy, cast iron, and all tool steels.

Siemens is planning the acquisition of Edge technology from the US company Pixeom. With this action, Siemens is strengthening its Industrial Edge portfolio by adding software components for Edge runtime and for device management.

Well into the 21st century, the medical industry faces a host of intriguing challenges, from aging populations to a growing range of personalized and at-home diagnostic and care devices—all set against a backdrop of increasing digital collection, transfer and storage of sensitive patient data.

At Cary Rosenberg’s company, Watts Water Technologies, validating material properties to ensure they are composed of the correct elemental composition is an important part of their work.

The German metrology developer Jenoptik is shifting “from focusing on metrology and laser processing standalone equipment to integrated automation solutions for the automotive industry.

The U.S. Army is working assiduously to flight-qualify engine parts it has redesigned using additive manufacturing (AM).

Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.