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More and more manufacturers are seeing productivity as a crucial factor to their business success. In the meantime, business models are changing from the large quantities and few variants to small quantities with frequently changed variants. This change requires high flexibility during production.

One of the foundational aspects of Industry 4.0 protocols is the creation of electronic “digital twin” models of product data and production processes. This includes an exact replica of all machine tools, including complex work envelopes showing the particular spindles, fixtures, and cutting tools.

Maybe your company specializes in aerospace or medical components, and you need to produce complex geometries in metals too tough to cut via conventional machining methods.

Hexagon Manufacturing Intelligence, a business unit of Hexagon AB, outlined its vision for the future of manufacturing at HxGN Live, the company’s annual digital solutions conference, held June 11-15 in Las Vegas.

Speeding the flow of jobs through the shop, while maintaining top quality, ranks among the hallmarks of any successful manufacturing operation’s goals.

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.

Fastems LLC has launched three new products to enable educational institutions and manufacturing enterprises to benefit from its advanced Digital Manufacturing (DM) solutions for factory automation. In addition to functioning as a classroom teaching and learning tool, DM enables companies to do training and testing before ramp-up and simulation during production.

At Cary Rosenberg’s company, Watts Water Technologies, validating material properties to ensure they are composed of the correct elemental composition is an important part of their work.

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.

As a self-aware millennial, Pat Evans has long been wary of how quickly technology is taking over our lives and quickly dominating the economy. Attending HxGN Live in June, Hexagon AB’s annual digital solutions conference, some of those fears were reinforced, while others were quelled.