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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.

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.

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.

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.

Immersive visualization in the manufacturing world has proven its value time and time again during design reviews, proof-of-concept validation, and customer engagement, decreasing time to market and minimizing risk. Organizations are experiencing faster buying cycles, decreased time-to-market, and minimized risk as they optimize designs in virtual space.

The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.

Challenged by an increasingly niche-oriented automotive market, The Chrysler Group (Auburn Hills, MI) must increase the number of models it offers while decreasing its capital investment. The company plans to offer 50% more models in 2009 compared to 2004, according to John Felice, VP of manufacturing, technology and global enterprise for Chrysler.

Automation in manufacturing is more important than ever, reducing costs and improving quality. While it is important in assembling cars, machining engines, or drilling holes in airframes, is it important to metrology operations as well? “Absolutely,” explained Michael Kleemann, engineering manager VRSI (Plymouth, MI).

Shops today must track or measure their manufacturing operations to improve them. This need drives the growing use of MTConnect—an open, royalty-free protocol for extracting data from practically any piece of equipment, including machine tools and other manufacturing systems. The integration of MTConnect is a major undertaking, and can be a bit challenging unless certain preparations are made ahead of time.

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.