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A More Informed Welding Solution

Welding has been around for millennia, but today’s technology doesn’t often benefit from the information- and feedback-rich technologies that its machining cousin does. Christopher Ripley, Director of Business Development, and Eduardo Almeida, Director of Engineering, Innovation and R&D for BrandTech®, sit down with Chris Mahar, Associate Editor, to talk about the company’s BrandTech® Precision Welding system and how its computer-controlled system differs from traditional stud welding.

Autonomous Mobile Robots Drive Manufacturing Versatility

Robotics have come a long way since the first industrial robot was installed at General Motors. Denise Ebenhoech, Regional Head of Advanced Robotics Applications at KUKA Robotics, sits down with Chris Mahar, Associate Editor, to discuss recent developments within mobile robots. From cleans rooms to job shops to moving entire airplane assemblies, autonomous mobile robots are helping manufacturers succeed in today’s advanced manufacturing landscape.

Spotlight on Welding with AWS

April is National Welding Month and exciting things are happening within the industry. In this podcast, Chris Mahar, Associate Editor of Manufacturing Engineering magazine, talks with Monica Pfarr, Executive Director of the American Welding Society Foundation about what’s happening in the industry and what AWS is doing to celebrate. From the industry as a whole to the current market temperature and the workforce, this podcast is a welding one-stop-shop.

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.

Hexagon, Raytheon Developing Simulation Tool

Hexagon and Raytheon Technologies have partnered to deliver a simulation tool that will enable evaluation and optimisation of metal additive manufacturing (AM) processes through the prediction of thermal history and defects at the laser path and powder layer scale.