An early pioneer in the fields of NC and CAD/CAM software, Patrick J. Hanratty, PhD, discovered his passion for computing and programming almost by accident, answering a newspaper ad seeking programmers in his hometown of San Diego after returning from service in the Air Force during the Korean War.
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Machining composites presents unique challenges compared to metals. Reinforcement fibers are abrasive, shortening tool life. The plastic matrix carries away little heat, unlike metal chips, and overheating can melt the matrix.
When a tool breaks during a machining operation, the part being processed is often destroyed, and sometimes the machine is damaged. Aerospace parts are often complex shapes, manufactured from exotic materials that require prolonged machining cycle times. Therefore, a scrapped part is a significant loss in raw materials and value-added machining.
Highly realistic 3-D simulation software can greatly improve manufacturing processes, lending sophisticated visualization tools that help increase manufacturing productivity and product quality.
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
Process improvement encompasses a wide range of tools, techniques and strategies. When properly deployed, shop-floor data collection and monitoring systems can help factory-floor managers leverage key data metrics including overall equipment effectiveness (OEE) and total effective equipment performance (TEEP) that measure machine uptime and pinpoint bottlenecks or other problems in order to improve machining performance.