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In-Depth On Custom Automation

SME interviewed at FABTECH Greg Morehouse. He is the Executive Vice President for operations, Acieta, a leading RIA certified and FANUC Authorized System Integrator. This podcast describes how Acieta defines custom automation and how one should approach the task of engaging an integrator like Acieta in procuring an automation system, whether your shop has three people or 300.

Tackling Downtime and Inefficiencies with Software

Turning to software over paper reports does more than just save trees. Chris Mahar, Associate Editor of Manufacturing Engineering, talks with David McPhail, President and CEO of Memex Inc., about how manufacturers can utilize technology to improve efficiency, reduce downtime and boost productivity and profits across their business.

Structured Vision in Manufacturing

Structured light systems measure surfaces by projecting a pattern of fringes, then using cameras and sophisticated software to convert them into point clouds of metrology data. Accuracy can reach the single-digit microns over millions of points.

Optimization Module Tackles Tough Materials

Most anyone who’s worked in a machine shop for any length of time has at some point attended a trade show or machine tool distributor’s open house. There they see canned demonstrations of CNC machines busily carving up chunks of brass, mild steel, or aluminum into business card holders and tic-tac-toe games.

Dassault Systèmes Tackles Tech Adoption Problems

Today’s virtual technology enables faster and better product development. Planes, trains and automobiles are defined in CAD, subjected to virtual tests to see how they might fail, re-designed, virtually manufactured and virtually shown to customers to confirm market acceptance.

One man's war on disaster

Factory safety is not a theoretical issue for Gabe Glynn, CEO of the wearable tech firm MākuSafe.

AutoML 2.0: Making AI in manufacturing simple

Managing sensor performance has become a must-have for manufacturers. The advent and rapid adoption of IoT technology, enabling smart manufacturing systems, has created a two-fold scenario. Intelligent systems at once provide for near-real-time systems monitoring and create a new prediction problem.