Keeping products clean is becoming a more significant part of manufacturing as standards for cleanliness, deburring, and finish grow more stringent.
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One of the most cost-effective ways to obtain the benefits of automation is by adding a bar feeder to a CNC lathe or other bar machine. Costing anywhere from about $10,000 to $40,000 depending on configuration, the devices can add hours of untended operating time for part volumes of a few hundred to tens of thousands.
Shop efficiencies start with the machine tool controller, as today’s CNC equipment offers machine operators myriad tools for improving part surface finishes, allocating machine time, and cutting job cycle times.
For years, the manufacturing industry has debated the pros and cons of opening up manufacturing networks, but concerns over virus vulnerabilities and the stability of PCs on the network largely limited open-architecture PC controls’ progress and kept entrenched proprietary systems in place.
Workholding techniques using a magnetic field, a vacuum, or an adhesive can be effective alternatives to clamps. When these techniques are used, more part area is available for the cutting tools, thin parts can be held, and initial setup can be fast and simple. Plus, there is a potential for smoother surfaces and a shorter overall production cycle.
It’s the machine tool acronym you never bother to put into words: CNC. And much of the time it’s probably OK to view your “computer numerical control” as a black box doing magic. But if you’re struggling with high-speed machining, need better surface finishes or higher accuracy, have training and retention problems, or want a better handle on your production efficiency, the answer just might be the latest iterations of those three little letters.
In the early days at CNC Software, we saw that our Mastercam CAD/CAM system was only part of a larger manufacturing solution and that an open architecture foundation could allow seamless data communication with complementary devices and systems across the shop floor.
Manufacturing competitiveness depends on working faster, smarter, and better, with the convergence of the Industrial Internet of Things (IIoT) devices and smart sensors, software and data analytics.
The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.
The auto industry’s biggest current focus is self-driving cars. Established automakers as well as technology companies such as Apple Inc.