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Producing metal products is one of the most energy intensive industries. Improving both energy and production efficiency, as well as ensuring product quality is at the top of any manufacturers to do list. Engineers should consider using fixed thermal imaging cameras to optimize their manufacturing process.

Blockchain technology is becoming a key player in modernizing supply chains to enable easy tracking, automate transactions and delivery, and build end-to-end trust, Chandra Narayanaswami, principal research staff member, Member IBM Academy of Technology at IBM Research, told people attending a smart manufacturing session at the MD&M West conference here last week.

The human factor is sometimes just too cumbersome in manufacturing. Take the German chipmaker Infineon: By using an autonomous robot called Scout from MetraLabs for the last several years, the automotive supplier shrank to 10 from 300 the number of minutes it takes to collect the clean-room data needed to measure the presence of rare gases in the air.

The energy industry is often at the forefront of our minds as we watch fuel prices climb and then celebrate when they come down. We continually find ways to be as energy efficient as possible in our homes and workplaces. Media outlets keep us constantly informed of this often-volatile industry’s ups and downs.

The technology behind the rise of cryptocurrencies is widely expected to bring ‘a common source of truth’ to manufacturing.

Implementing a comprehensive laser cutting system is not a task for the faint of heart. In addition to the financial outlay, requirements include planning for a complete system, not just the laser, according to Dustin Diehl, laser division product manager, Amada America Inc., Buena Park, Calif.

Connected manufacturing and digitization technologies are spurring many of the major innovations in CNC machine controls that help machine shops cut metal and create parts as quickly and efficiently as possible.

A conversation between Smart Manufacturing Editor in Chief Brett Brune and Sridhar Kota, professor of mechanical engineering at the University of Michigan and Executive Director of MForesight. 

Within manufacturing, a shift has begun to extend big data analytics and condition monitoring beyond the factory door to both ends of the supply chain—to customers, other end users and to second-and third-tier suppliers.

Additive manufacturing (AM) refers to processes used to make a three-dimension object layer-by-layer. The shape of each layer can be dynamically controlled by computer-aided design (CAD).