The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.
The state of manufacturing is always a combination of tried and true methods; improvements (sometimes dramatic) in traditional processes; and brand new technology few people even conceived of a few years ago.
Erik Anderson, president and CEO of Basin Precision Machining LLC, has determined that setups are the root of all evil when it comes to manufacturing productivity. They cause part variations, downtime, and high-percentage scrap rates.
Technology came to the aid of Detroit Tigers management when they hoped to recapture some of the magic of the 1968 Detroit Tigers’ World Series-winning season. The 50-year anniversary celebration, held September 7-9, 2018, included on-field festivities in which the 16 surviving members of the 1968 team were presented with replicas of the World Series’ trophy.
NASCAR champion Brad Keselowski has joined the ranks of entrepreneurs in the metalworking industry while continuing his successful racing career.
Until just a few years ago, if a vehicle maker wanted to test the process for making a newly designed composite part at full scale, the company’s R&D engineers would call one of its Tier Ones and ask to schedule a trial run on the composites fabricator’s machines during off hours.
Fostering human-centered innovation by developing powerful, easy-to-use tools is at the heart of the new products, enhancements and services showcased during the Siemens Digital Industries Software 2020 Media & Analyst Conference, a two-day virtual event hosted by the Plano, Texas-based company on June 16 and 17.
An Israeli company has developed new artificial intelligence technology that promises to dramatically change how original equipment manufacturers and their suppliers conduct quality control inspections.
Manufacturing’s supply chain is approaching a “tipping point” of diversifying beyond China, consulting firm PwC said in a report.
When designers at Siemens started using virtual reality (VR) to quickly evaluate early-stage ideas, the usually slow and costly design-and-iteration process went from days and hours to minutes.
