Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
April 12, 2013 · Allow for mold insert changes without sensor removal.
March 31, 2013 · Multi-component force plates support clinical gait, running and balance analysis.
October 24, 2012 · New Type 6188A is designed for plastics injection mold cavity measurements.
October 22, 2012 · Will add digitization technology capabilities to vehicle testing suite.
July 23, 2012 · Units support satellite and spacecraft force limited vibration testing.
June 4, 2012 · New design boosts accuracy on the Absolute Arm series.
June 1, 2012 · Provides greater measurement flexibility and high-speed scanning rate.
May 28, 2012 · Type 9129A is designed for direct compatibility with industry disk-type turret cutting tool machinery.
April 11, 2012 · Software is based on design of experiments method.
February 27, 2012 · Device can be used for variety of vehicle testing applications.
February 8, 2012 · Sensors can be used in ballistics, bomb testing applications.
December 12, 2011 · Type 4021B chain is designed to support plastic injection molding.
October 7, 2011 · Designed to support automotive, aerospace and civil engineering applications.
September 9, 2011 · K-Beam family designed for use in automotive, aerospace, civil engineering and laboratory testing.
August 23, 2011 · Latest solutions on display at Assembly and Automation Technology Expo 2011.
August 19, 2011 · The Type 8781A50 features center-hole mounting for automotive NVH investigations.
August 13, 2011 · Type 6190 offers combined pressure and temperature cavity injection molding sensor.
July 28, 2011 · Provides simultaneous five-axis wheel position and orientation measurements.
May 2026 Special Focus: Artificial Intelligence in Design and Simulation
In this Special Focus Issue, learn about the latest developments in the integration of artificial intelligence into engineering workflows.
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
About Us · Contact Us · Editorial Team · Advertising · Privacy Policy · Subscriber Services · © 2026 Digital Engineering 24/7 · Peerless Media