The manufacturing landscape is undergoing a transformative revolution driven by Industry 4.0. Smart factories, the epitome of this evolution, are not just about automation but about intelligence, adaptability, and efficiency. Central to this transformation is data – the vast streams of information generated by machines, processes, and systems.
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In recent years, the manufacturing sector has undergone a remarkable transformation, driven by the integration of advanced digital technologies. Among these, digital twin technology stands out as one of the most promising innovations, reshaping how factories and production processes are designed, monitored, and optimized. At its core, a digital twin is a virtual representation of a physical asset, system, or process. This virtual counterpart mirrors the real-world object in real-time, enabling manufacturers to simulate, predict, and analyze performance, while optimizing operations with unprecedented precision.
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At the forefront of the role of metrology, the science of measurement, in advanced manufacturing is UNC Charlotte’s Center for Precision Metrology (CPM).
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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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