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Manufacturing Engineering asked thought leaders at five companies for their views on challenges and trends facing the metalworking industry.

At UGN, one of our core operating principles is sustainability. That means minimizing waste to improve efficiency, add value, and refine the manufacturing process for our automotive products when and where we can.

There have been many process improvement trends in manufacturing over the decades, and none have had more significant ROI than machine monitoring. The increase in machine monitoring is owed in large part to the rise in popularity of the open and royalty-free interconnectivity standard MTConnect.

More shops than ever are embracing waterjet cutting systems. And for the most part, the reason is that a number of customer-driven improvements/innovations to waterjet technology make it even more user friendly, productive and appealing to an ever-broadening array of manufacturers.

A new breed of turbochargers constructed of super tough alloys operates at higher temperatures and rotational speeds than ever before, resulting in greatly increased output in a smaller package for gas and diesel engines alike.

Manufacturers continually seek ways to make their products stronger and last longer. High Velocity Oxygen Fuel (HVOF) spray coatings help achieve those goals. However, grinding the coatings can be a challenge.

Composite materials have clear benefits for manufactured parts in aerospace, medical, automotive applications and many other industries. Ensuring the highest part accuracy is critical. Force measurement and material testing are essential processes for product designers and manufacturers to gain insightful data to create high-quality composite components.

Effective milestones are an important part of a company’s development process, especially in today’s era of team-based sprints and stand-ups. Yet many companies struggle to successfully create and employ milestones; and some don’t even understand their relevance beyond updating senior leadership.

When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.

My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.