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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.

Flexibility and Thorough Support for Good Measure

Discover how Driven Precision Engineering, a small business specializing in precision machining for Formula One teams, found a tailored solution with LK Metrology's CMM technology, revolutionizing their quality control processes for high-speed racing components.

Machine Learning for Machine Tools

Explore the intersection of artificial intelligence (AI) and manufacturing, from generative design to AI-controlled production, process optimization, and predictive maintenance, highlighting the revolutionary potential and challenges of integrating AI into various manufacturing processes.

Sustaining CAD/CAM Agility

Explore the transformative impact of cloud, edge computing, large language models (LLM), and convergence in the manufacturing industry, emphasizing the importance of integrated data systems and automation for improved productivity and innovation.