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Deburring in Forming and Fabricating: Part 2

Because it is a production cost, reducing the need for deburring can help the bottom line. In this podcast, part two of two, Alan Rooks, Editor in Chief of Manufacturing Engineering magazine, talks with Dr. LaRoux Gillespie, a researcher, engineer, manager, consultant, and writer with an extensive knowledge base on deburring and finishing. In this episode, the discussion focuses on ways to reduce deburring costs in forming and fabrication operations, such as improving product design; preventing burrs; minimizing burr properties; and removing burrs during the main fab process. Also discussed are how shops can determine if deburring or edge finishing is needed, and how they can choose among the 124 different deburring processes.

Optimal Machining Concepts For Aerospace -- Program The Part Not The Machine

In this podcast discussion with Rick Schultz of FANUC America and Bruce Morey, Senior Technical Editor for Manufacturing Engineering Magazine, current practices in aerospace machining is dissected. Many shops today stick with the tried and true to reduce risk to schedule and profit, but that tried and true is stuck in the 1980s and 1990s. Rick discusses practical ways to get the most out of 21st century machining technology, by programming for the part and not the machine.

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.

Robotic Returns

A few not-so-tall tales of how machine shops gain a competitive edge through automation

Powering Up CAD/CAM Training

To climb the Mastercam learning curve, Ariel Corp. worked with CNC Software to craft a training course for its workforce.

AI Simplified

The complex world of artificial intelligence and machine learning—and why it all matters