Displaying 1231-1240 of 1310 results for

There is no better way to resolve a problem than by eliminating it entirely. At least that’s how KTH Parts Industries Inc. (St. Paris, OH) regarded its decision to automate a manual equipment changeover process for its robotic welding cells.

Manufacturers are always looking for signs of what the economy and the business outlook have in store for them. Since the election of President Trump and, more recently, passage of the tax reform law in December, confidence among businesses of all sizes has been overwhelmingly positive.

May U.S. cutting tool consumption totaled $215.13 million, according to the U.S. Cutting Tool Institute (USCTI) and AMT—The Association For Manufacturing Technology.

General Motors Co. (Detroit) is boosting its use of collaborative robots, a manufacturing executive said at this week’s Management Briefing Seminars (MBS).

Intelligent factories have existed since manufacturing’s historical inception, but intelligence—defined as the acquisition and application of manufacturing knowledge—resided only with the factory’s staff.

Industry veterans often say the makers of machine tools, cutting tools, CAD/CAM software, and other components push each other in an endless feedback loop to deliver ever faster cutting speeds in ever harder materials. Lately it’s the cutting tool manufacturers who seem to be leading the charge. Let’s see what they’re up to.

When wrestling with vexing issues such as product complexity, lightweighting, advanced materials and new manufacturing methods, today’s manufacturing engineers increasingly use high-fidelity simulations to visualize solutions to these challenges.

As machining has evolved, toolholders have advanced to include rigid, secure systems with anti-pullout protection. These advanced systems are needed to take on difficult-to-machine materials, such as titanium and heat-resistant superalloys (HRSA), and accommodate ambitious removal rates and long tool overhangs. Think of them as insurance against tool pullout and breakage—a situation nobody wants.

The next “dynamic duo” may not involve humans at all. “Machine vision and robots make for a perfect marriage,” stated Klas Bengtsson, global product manager, vision systems for ABB Robotics (Auburn Hills, MI). This is not new. Vision and robotics have gone hand in hand for years.

A key success factor for Industry 4.0 and IIoT (Industrial Internet of Things) initiatives is the emergence of more and better sensors in machining centers, and even in the cutting tools themselves. These sensors provide the data and connectivity that are the foundation for the “factory of the future.”