Automatic parallel parking, lane-keeping assistance, sensor-enabled maintenance, infotainment equipment and other advanced electronics are helping many automotive manufacturers differentiate their vehicles in a fiercely competitive, global marketplace.
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Solid-state laser technology has matured, leading to development of new, cost-effective welding applications, such as hybrid welding
Real-time machine tool data collection isn’t just about helping manufacturers improve productivity and profitability, although that’s certainly a promised outcome.
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 growing need for nano and micro components in the medical industries is challenging manufacturers to continually improve upon their manufacturing processes and take a scientific approach to injection molding and tooling.
Today, laser technology in manufacturing touches all of our lives on a daily basis; lasers cut air bag material and weld air bag detonators for our in-car safety; lasers weld the batteries in many of our mobile devices; lasers drill aero-engine components for planes; lasers cut the glass for our smart phones and tablets screens; lasers weld the drivetrains in our cars and trucks; lasers cut medical stents that increase and enhance our lives, just to name a few.
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.
The additive manufacturing revolution is in full stride, flying in aircraft and giving manufacturers a robust tool for design and production
To stay ahead in the game, manufacturers constantly seek an edge over the competition. With today’s CAD/CAM software, the builders of aircraft, automobiles and other complicated systems get the innovative programming tools needed to coax the most performance from complex, expensive machine tools.
The issues around OEE are not its utility but the ease and credibility of the data used to calculate it