This Collection supports and amplifies research related to SDG 9: Industry & Innovation. Ultra-precision machining stands at the forefront of advanced manufacturing, enabling the fabrication of ...

Five-axis machining technology has grown increasingly capable over the years, but there still have been drawbacks that made some shops think it was out of their reach. And to be fair, there have been ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Since Laurent Deconinck took the helm of Machining ...

Coolants have traditionally been used to reduce the heat generated during the machining process--the primary failure mode for cutting tools. However, coolants have several drawbacks, including mist ...

There are plenty of reasons to take advantage of today’s five-axis machining technology. First, it gives you access to all five sides of a prismatic workpiece. If for no other reason than being able ...

Advanced machining can solve many of the challenges of today’s increasingly difficult-to-produce parts such as miniaturization, part complexity, strict tolerances, thin walls, material hardness and ...

New milling machine technology allows you to achieve tighter tolerances, maintain high production rates and avoid placing new demands on the milling crew. “The newer generation of grade controls, ...

Humans had to carry out all their machining processes by hand for centuries. Even precision tools had to be maneuvered very carefully, inch by inch, by people holding the devices personally. That all ...

Even if your machine cycle times are shorter than average, there’s no reason not to strive for efficiency. Whether you parse through your code manually or use a G-code optimizer, improving your ...

FZE Manufacturing announced the recognition of its five-decade milestone, marking more than 50 years of service in the hydraulic components machining sector. The company, known for providing precision ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...