Linear encoders, often referred to as ‘linear scales’, provide high-accuracy position measurement and improved process stability. Their use in maintaining machine precision while avoiding drift over extended periods makes them ideal for ‘lights out’ manufacturing.
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The cooling hole solution, now used by MTU in series production, is the result of an intensive development partnership that began in 2018. Even back then, MTU turned to Bruker Alicona – initially with a collaborative robot (cobot) for optical inspections.
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ETQ, part of Hexagon, has shared results of its second annual global survey, the ETQ Pulse of Quality in Manufacturing. The survey revealed widespread challenges confronting manufacturers across a variety of sectors, including a persistent labor shortage, as well as a growing reliance on automation, AI and predictive analytics to help offset the shortage.
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As artificial intelligence (AI) and automation gain ground in the manufacturing sector, the conversation is shifting from “what machines can do?” to “how humans and machines can work together?”
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The Digital Twin promises a dynamic mirror of the physical world — but only when fueled by the continuous, connected flow of information delivered by the Digital Thread. The following article explores how this critical link is reshaping quality control and smart manufacturing.
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For decades, robots have been used to apply paint to new cars during manufacture, improving safety for employees while yielding the benefits of increased efficiency and more consistent paint application. But even with the precision and reproducibility of robot-applied finishes, vehicles still need to be visually checked in order to identify any potential paint defects.
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Manufacturing and production processes consistently face challenges in ensuring the longevity and efficient functioning of their equipment, especially as they age. Just like any entity subjected to time, equipment breaks down due to friction, corrosion, thermal and mechanical cycling, vibration, and other forces. The inevitable progression of these factors results in reduced performance, and ultimately, equipment failure.
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The intricacies of developing, manufacturing, and maintaining advanced components in sectors like aerospace, power generation, and medical demand rigorous qualification and verification processes. However, these essential steps are often plagued by inefficiencies, leading to increased scrap costs, production bottlenecks, and frustrating product launch delays.
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Surface energy is crucial in determining the wetting behaviour of liquids on solid surfaces. Generally, surfaces with higher surface energy are more easily wetted by liquids, resulting in better spreading, while surfaces with lower surface energy are more likely to repel liquids.
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At the recent Hannover Messe 2025, Lenovo unveileded new research highlighting a major shift in the manufacturing industry across EMEA with companies set to increase their AI spending by 106% over the next 12 months.
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