Like many technologies in manufacturing and fabrication today, welding operations have evolved to be more automated, flexible, adaptive, and “smarter” for improved throughput, safety and deposition accuracy.
Inside an electronics factory in China as late as early 2019, workers and smart machines were building circuit boards with chips in a multi-step process using a variety of machines from different vendors.
Although the first iteration of 5G technology has offered limited use cases in manufacturing, the next two generations, now expected to be available in the fall of this year and then the fall of next year because of COVID-19-related delays, will help factory owners achieve greater digital transformation of their factories.
Mastercam, CAD/CAM software developed by CNC Software Inc., has made free training available to those looking to sharpen their skills. From now until June 30, 2020, users can sign up to take a full set of Mastercam core classes on Mastercam University.
Dedicated in-house labs create and optimize laser welding processes for electric motors and batteries.
As we enter Industry 4.0, the lines continue to blur between the digital and the physical. With this, the workplace is rapidly changing at every level in every industry.
BLM GROUP USA announced on March 17, 2020 the enhancement of its E-FORM tube end forming machine with a fully CNC electric rolling device.
Amid predictions of global economic slowdowns and several recent PMI readings indicating manufacturing contraction, it becomes easy to see how slow production performance and data inefficiencies throughout the manufacturing supply chain contribute to economic uncertainty and concerns for future business.
Foundry 45 is helping Delta Air Lines strategize on ways to keep maintenance workers safe in the “ingestion zone”—the dangerous environment underneath the airplane where people and equipment are moving around in close proximity to engines.
Everyone knows that today a ton of data captured on the manufacturing floor goes unused due to the lack of a data scientist on staff or other resources to comb through all the information.