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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.

Proper drill selection, the geometry built into the drills themselves, applying proper drilling parameters, and a few tips and tricks from the pros can address nagging drilling problems such as drill breakage, unbroken chips, tool runout, poor hole edges, and poor tool life.

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.

The American Iron and Steel Institute (AISI) announced that John Catterall, former executive director of the Auto/Steel Partnership and an automotive engineering veteran, has been named vice president, automotive program, for AISI effective March 1.

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.