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Medical Machining Shifts Into High Gear—With a Laser Assist

Constant refinement of medical machining from tooling design to finished product requires not only the ability to handle a broad range of plastic and metal materials but also to achieve predictable results—particularly in the face of strict regulations.

Smart Tools’ Target: Data Analysis, Not Paralysis

The road to manufacturing success today runs through the mountain of data that tools are generating in metalcutting applications, and most importantly communicating and reacting to in real time on the shop floor.

New Automation Makes EDMs Faster, More Efficient

While EDMs offer the benefits of holding tight tolerances, working on nearly any metal, and being well suited for delicate or fragile parts, knowledgeable operators for the machines are increasingly hard to find and robots can’t always fill the gap. Automated processes in the machines, newer designs and features of Industry 4.0 are helping to solve the problem.

How to set off on the smart manufacturing journey

Conrad Leiva, vice president for product strategy and alliance at iBASEt and chair of the smart manufacturing working group at MESA International, speaks with Smart Manufacturing magazine Editor in Chief Brett Brune.

Busting the Myths about Artificial Intelligence

Manufacturers face a difficult task juggling the current “innovation agenda.” Today, the Industrial Internet of Things (IIoT), robotic automation and artificial intelligence (AI) are all poised to be the next big thing.

Optical Metrology in Three Dimensions

Basic trends in modern manufacturing are driving growth in 3D optical metrology. “One is the highly complex and high-tech material that manufacturers are using today. For example, in the aerospace turbine blade market, they simply cannot touch the part like they used to—the surface finish of the material is too readily affected by any kind of contact metrology."

AI Reaches ‘Irresistible’ Status

Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.