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Connected manufacturing and digitization technologies are spurring many of the major innovations in CNC machine controls that help machine shops cut metal and create parts as quickly and efficiently as possible. In most cases, software leads the way in helping both CNC programmers and operators on the shop floor to easily manufacture parts with the highest possible precision.

Some of the key trends in manufacturing are brought about by convergence of the design and manufacturing industries. With manufacturers under more pressure than ever to deliver better products faster and at lower cost, the need to connect and automate design and manufacturing processes to reduce iterations, errors, and delivery times is becoming critical.

Implementing five-axis machining can be an excellent strategy for efficiently producing accurate, complex parts. However, it takes more than the right machine tool to realize the full potential of a five-axis process. In addition to the right machine, tooling and fixturing options, CAM software must be selected carefully.

For decades, plant personnel have performed insulation resistance tests with handheld megohmmeters to prevent motor failures that lead to costly unplanned shutdowns, failure-to-produce penalties and rewinding repairs. However, these tests only provide a “snapshot” of motor health. In a matter of days, motor windings and cables exposed to moisture, chemicals, contaminants or vibration can be compromised and fail at startup.

3D-printing farm owners who want to grow their business will find themselves shopping for fleet management software to automate operations and rid themselves of piles of thumb drives and SDS cards to store G-code.

Modern event-based machine vision systems increase efficiency, productivity, and quality

A fork in the road leads two leaders toward their true calling

When energy infrastructure fails, the cost is often unbearable. Are better design tools the means to reduce risk, improve efficiency, and prepare the world for a more sustainable future?

How real machine data can spur improvement in manufacturing.

To be competitive in today’s dynamic manufacturing environment, small- and medium-sized manufacturers (SMMs) need to implement mechanisms to facilitate the effective processing of multiple streams of highly volatile and time-sensitive customer requirements.