Measurement has always been the bedrock of manufacturing excellence, capturing data to ensure precision, validate quality, and improve processes. But as we turn our gaze to the future, measurement science is no longer just about collecting data; it’s about harnessing that data in innovative ways that actively drive manufacturing processes forward.
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A smart factory is characterized by its ability to leverage data from various sources, including sensors, machines, and other interconnected systems, to optimize and automate processes in real-time.
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The Fraunhofer Institute for Applied Optics and Precision Engineering IOF has been developing systems for the high-speed capture of 3D data for many years. With goCRASH3D, the team is now presenting a new system that records 3D data during crash tests inside the test vehicle.
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Attending the 2024 edition of the International Manufacturing Technology Show (IMTS) in Chicago last week highlighted the convergence of cutting-edge technologies, robot automation, and the essential role played by metrology in the next generation of manufacturing.
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The integration of AI and ML into manufacturing presents endless possibilities. To stay ahead of industry trends and innovations, it is crucial for manufacturers to build a solid business case for these technologies based on clearly stated goals and expectations.
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When certain parts are measured after precision machining or cleaning operations, or after otherwise being exposed to temperatures other than the reference temperature, 20°C/68°F, their dimensions can be significantly altered by thermal expansion or contraction.
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Summary of headline metrology and smart manufacturing news from the past 7 days.
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One of the challenges of cramming smarter and more powerful electronics into ever-shrinking devices is developing the tools and techniques to analyze the materials that make them up with increasingly intimate precision. Physicists at Michigan State University have taken a long-awaited step on that front with an approach that combines high-resolution microscopy with ultrafast lasers.
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A technological and cultural shift is occurring in the automotive manufacturing environment caused by the advent of robotics and machine vision, coupled with the development of AI vision systems. This article delves into the drivers of change and how augmented reality will shape the future of manufacturing technology for automotive production.
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At the heart of this digital transformation lie three key enablers: Quality Information Framework (QIF), Model-Based Design (MBD) characteristics, and Universally Unique Identifiers (UUIDs). In this article, we delve into the synergistic relationship between these elements and explore how they collectively empower the Quality Digital Thread, driving efficiency, reliability, and innovation across the manufacturing enterprise.
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