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Laser Takes Heat Out of Tough Tool Grinding

Cutting tool maker Shape-Master Tool Co. (Kirkland, IL) needed to expand its tool grinding capability beyond that of its conventional machines or run the risk of losing work to the competition.

Machine Designs Win New Grinding Applications

In what shouldn’t be too much of a surprise, challenges for advanced grinding technology from high tech industries range from handling the most difficult-to-machine materials for aerospace jet engine turbines to series production on automotive drive train lines.

The Wide World of Deburring and Refinishing

Burrs, sharp edges, and rough surfaces plague even the most precise metal-cutting or forming process. Deburring and finishing can often be treated as the step-child of a manufacturing process, but its importance is growing as tolerances get tighter and precision devices become the norm.

What’s Next in Grinding?

Many precision grinding machines on the market already offer their users near-perfect tolerances, leaving one to wonder: What’s next in grinding? But tool builders still have plenty of room to add valuable new improvements, machine shop owners say.

Milling vs. Grinding for Rapid Stock Removal

A recent effort by the Norton Advanced Applications Engineering Group demonstrates that for difficult-to-machine materials, grinding can be an economical alternative to other machining processes.

Grinding Roots

Until the middle of 2010, first-tier subcontract machinist, JJ Churchill, could produce turbine blades only if they had their fir-tree root-forms preground elsewhere, or if they were subsequently added by another subcontractor. No longer is this the case.

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.