Like most of the digital architecture of manufacturing, computer numerical controllers (CNCs) have advanced rapidly in recent years, producing far more processing speed and implementing advanced algorithms, while at the same time offering simpler, more intuitive user interfaces.
Edge. Cloud. Digital twin. AI. AR. VR. Cobots. Once they were buzzwords. Now, they are becoming technical realities in mid- to large-scale manufacturing plants in North America.
Respondents in a survey said supply chain planning drives better business performance.
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.
The IUPUI Mechanical Engineering Technology program concentrated on Mastercam and the online benefits of Mastercam University for its students. This approach paid big dividends on a unique Indy Car project for the Indianapolis Motor Speedway.
Before the coronavirus pandemic upended normal life and essentially shut down commercial airliners, the aviation industry had a projected need for 40,000 new aircraft—planes, helicopters, air taxis, and unmanned aerial vehicles—in the next 20 years.
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.
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.
Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.
More and more manufacturers are seeing productivity as a crucial factor to their business success. In the meantime, business models are changing from the large quantities and few variants to small quantities with frequently changed variants. This change requires high flexibility during production.