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A new report urges the United States invest in emerging manufacturing technologies, saying the private sector can’t preserve US manufacturing by itself.

You don’t have to look too far to find tooling presetters that fit the machining requirements of just about any size shop. The value of off-line tool presetting—rather than stopping machine spindles to touch off tools as machines sit idle—continues to prove itself invaluable, especially to the smallest first-time user shops.

With the latest product lifecycle management (PLM) tools, manufacturers take aim at speeding developments using the Digital Thread, an integrated set of CAD/CAM/CAE and cPDM (collaborative Product Data Management) solutions that weave together new Digital Twins of manufacturing processes.

In the aerospace world, as in all sectors of manufacturing, the race is on for faster, more automated and connected machining operations. Aerospace builders have steadily pushed for more automotive-like automation over the past several years in order to improve productivity and more effectively handle large order backlogs in commercial aviation.

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.

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.

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.

Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.

AP&T provides a case study of the work it did at a plant in Italy of Fiat Chrysler Automobiles (now Stellantis).

An intelligent and highly flexible transport system enables a wide variety of production steps to be flexibly combined in a modular, powerful and versatile machine for the assembly of automotive fuel lines.