Displaying 11-20 of 2026 results for

Scanning metrology providers respond to varied needs; software improves to help engineers with scan data

Celebrating its 80th year, Kennametal, the Latrobe, (PA), tooling manufacturer, says it has solved the age-long problem of tool stability when drilling in deep cavities, alongside tall shoulders, and past bulky fixtures. Reaching deep inside a workpiece to drill holes can be challenging.

In 2018, CNC Software Inc., Tolland, Conn., reached several milestones: its 35th anniversary as a company, 250,000th installation, a new user website and the introduction of Mastercam 2019.

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.

On June 22-23, SME hosted a Smart Manufacturing Working Group meeting at Texas A&M University (College Station, TX) followed by an international workshop on Smart Manufacturing for the Factory of the Future.

Aerospace machining encompasses machines small and large. These range from the Tornos SwissNano to the Makino MAG3, as Rich Sullivan put it. He is the OEM manager for Iscar Metals Inc., Arlington, Texas.

Meeting the needs of the evolving digital manufacturing initiative, Open Mind Technologies (Needham, MA) has recently partnered with Heidenhain TNC controls (Schaumburg, IL) to provide exclusive first use of their new NC code-based machining simulation solution hyperMILL Virtual Machining.

The U.S. Department of Defense (DoD) is set to award $10 million in funding this year to the Digital Manufacturing and Design Innovation Institute (DMDII) here, UI Labs CEO Caralynn Nowinski Collens, said this morning. UI Labs is DMDII’s parent organization.

As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.

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.