Additive Manufacturing is revolutionizing the manufacturing landscape. Originally associated with prototyping and small-scale production, AM has evolved into a robust technology capable of producing high-quality, end-use parts across various industries, from aerospace to healthcare.
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In the dynamic landscape of smart manufacturing, automation and advanced technologies such as Big Data, artificial intelligence (AI), and the Internet of Things (IoT) are reshaping production processes. With these advancements, one might assume that traditional measurement tools are becoming obsolete.
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Big Data and closed-loop manufacturing are two complementary concepts that seamlessly integrate to enhance operational efficiency, quality control, and sustainability within manufacturing processes. How do these two concepts merge in the digital transformation of manufacturing?
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In the realm of industrial metrology, where precision and accuracy are paramount, the advent of generative artificial intelligence (AI) promises to revolutionize traditional measurement techniques and processes.
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For manufacturers in the western hemisphere, the Center for Precision Metrology (CPM) at UNC Charlotte stands alone as the premier academic research center dedicated to delving into the impacts of these micro measurements.
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By harnessing the synergies between structured light scanning’s 3D surface reconstruction capabilities and machine vision’s intelligent image analysis algorithms, manufacturers can achieve superior quality control, streamline production processes, and drive innovation.
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But even in the age of digitalisation, the design department of the sports car manufacturer still values the design quality of classic sketches and labour-intensive clay models very highly. Along the path from vision to reality, the designers combine the best of both worlds.
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Metrology emerges as a pivotal solution in this conundrum. By harnessing advanced metrology techniques, manufacturers can elevate their quality standards without compromising financial feasibility. We explore how leveraging metrology not only enhances manufacturing quality but also drives efficiency and competitiveness, all while containing costs.
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Quality is more than just meeting specifications or achieving perfection; it encompasses reliability, consistency, and meeting customer expectations.
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Digital twins facilitate real-time monitoring by integrating with sensors and IoT devices deployed throughout the manufacturing environment. These sensors capture data on various parameters, such as dimensions, and other relevant metrics.
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