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The German metrology developer Jenoptik is shifting “from focusing on metrology and laser processing standalone equipment to integrated automation solutions for the automotive industry.

The U.S. Army is working assiduously to flight-qualify engine parts it has redesigned using additive manufacturing (AM).

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.

Necessity, as the saying goes, is the mother of invention, and this symbiotic relationship between need and solution was on full display at a recent two-day, two-location event hosted by GF Machining Solutions.

Hybrid manufacturing—using one machine to perform both additive and conventional subtractive manufacturing processes—is gaining traction across manufacturing sectors, allowing companies to leverage the benefits of both.

Cofounder Johannes Trabert, who lives a poetic life in the Thuringian Forest, says the future will be focused on ‘the clever share of work’ between humans and robots.

The industrial revolution of today, called Industry 4.0, is driven by the interconnectedness of advanced technology, automation, robotics, and real-time data, also called the Internet of Things (IoT). While these cyber-physical systems can autonomously exchange information to trigger actions and make decentralized decisions, it’s impossible to dismiss the importance of the human element in manufacturing.

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.

California Polytechnic State University’s (Cal Poly) Industrial and Manufacturing Engineering (IME) Department is ensuring its students are prepared for the future of fabrication by integrating abrasive waterjet into its curriculum.

Machine vision is proving ideal in helping humans perform tedious but crucial manufacturing tasks. That is why it is poised to grow significantly in the next few years.