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DP Technology Introduces Updated CAM Software for 2020

DP Technology has announced a comprehensive product update, called ESPRIT 2020, for its computer-aided manufacturing (CAM) software. Among the most significant developments are updates to the software’s computer-aided design (CAD) interfaces and new or improved solutions for specific machine tools.

AI Enters Inspections

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.

Artificial Intelligence Comes to CAD

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.

From Multispot Welding to Limiting Soot: Tips for Optimal Laser Joins

In our May webinar titled “Lasers in Manufacturing: State of the Art in 2018,” we noted the emergence of some novel technologies to produce the “holy grail” of laser welding: spatter-free joins with no porosity and, when required, highly aesthetic outcomes.

Quality Assurance Passes with Flying Colors at IMTS

The world of quality measurement devices and software continues to expand, and IMTS years are especially exciting times. If there is a theme in the many offerings—new devices, new software—it might be how quality devices are continuing to burrow their way into the heart of manufacturing on the shop floor.

Intuitive Workflows Speed Product Development

Manufacturing Engineering: What are some of the latest trends in simulation software for manufacturing? Uwe Schramm, CTO, solvers, optimization and multi-physics, Altair Engineering Inc., Troy, Mich.: I see three trends here. First, manufacturing sim

Metrology Gets Connected

“Metrology and its relationship to manufacturing is rapidly evolving,” Ken Woodbine, president, Wilcox Associates, a brand of Hexagon Metrology (North Kingstown, RI), recently observed. “We are seeing larger quantities and faster speeds of measurement data collection. The next challenge is what to do with all that data.”