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Discovering the Keys to U.S. Manufacturing Recovery

The COVID-19 pandemic clearly proved challenging to the manufacturing industry in myriad ways. Now, as nations and industries begin to navigate their way forward as restrictions are lifted, manufacturers have an opportunity to put into practice some lessons learned.

Recycle, Reclaim, and Take a Deep Breath

Suppliers of cleaning, safety, and environmental equipment are promoting a common message—good housekeeping is not only good for your workforce, it’s also good for the shop’s balance sheet.

Micromanufacturing is Growing

Many industries have been making parts with micron dimensions for some time, but in the last few years, the market for miniaturization has expanded. The demand is not only for small parts, but also for small complex features on larger parts. This is due chiefly to the switch to modules in which the functions of several parts or subsystems are not handled by a single complex unit.

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.

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.