Most anyone who’s worked in a machine shop for any length of time has at some point attended a trade show or machine tool distributor’s open house. There they see canned demonstrations of CNC machines busily carving up chunks of brass, mild steel, or aluminum into business card holders and tic-tac-toe games.
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Structured light systems measure surfaces by projecting a pattern of fringes, then using cameras and sophisticated software to convert them into point clouds of metrology data. Accuracy can reach the single-digit microns over millions of points.
Digital manufacturing solutions with product lifecycle management (PLM) tools hold great potential for manufacturers to eventually fully unlock the promise of the Industrial Internet of Things (IIoT).
When it comes to being successful, manufacturers today have more tools than ever to succeed. Chris Mahar, Associate Editor of Manufacturing Engineering, talks with Jeff Lage, President, Advanced Manufacturing Technologies at Ellison Technologies, about how Industry 4.0 is helping manufacturers improve operations through data collection and insights. Providing tips on how businesses can get the most capacity out of their machines, remove waste and enable their machines do more.
Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.
For decades, plant personnel have performed insulation resistance tests with handheld megohmmeters to prevent motor failures that lead to costly unplanned shutdowns, failure-to-produce penalties and rewinding repairs. However, these tests only provide a “snapshot” of motor health. In a matter of days, motor windings and cables exposed to moisture, chemicals, contaminants or vibration can be compromised and fail at startup.
Some of the key trends in manufacturing are brought about by convergence of the design and manufacturing industries. With manufacturers under more pressure than ever to deliver better products faster and at lower cost, the need to connect and automate design and manufacturing processes to reduce iterations, errors, and delivery times is becoming critical.
Reducing the risk of automotive defects is one of the most critical issues facing manufacturers today – to protect the well-being of consumers, as well as their own reputations and financial health.
The IUPUI Mechanical Engineering Technology program concentrated on Mastercam and the online benefits of Mastercam University for its students. This approach paid big dividends on a unique Indy Car project for the Indianapolis Motor Speedway.
How do we turn all the data collected at each step of the manufacturing process into something usable?