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.
Displaying 91-100 of 233 results for
Keeping products clean is becoming a more significant part of manufacturing as standards for cleanliness, deburring, and finish grow more stringent.
Robotic machining technology has advanced to where it poses a serious alternative to metalcutting applications on more traditional machining centers. With the latest robotics equipment and related software, automation suppliers and robotic system integrators are gaining some traction using robots in many material-removal applications previously done only with machine tools.
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.
Today, the ideal factory can achieve levels of self-controlling (and perhaps self-learning) production processes, in which production reacts autonomously to changes or faults and takes appropriate measures.
The auto industry’s biggest current focus is self-driving cars. Established automakers as well as technology companies such as Apple Inc.
The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.