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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The advent of Industry 4.0 has marked a significant evolution in manufacturing and quality control. Central to this transformation is Metrology 4.0, an advanced approach to measurement that leverages cutting-edge
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The last decade has seen remarkable advancements in the field of manufacturing, driven largely by the integration of new technologies. Among these, portable 3D scanners have emerged as a game-changer, significantly impacting quality control processes. These devices have not only enhanced the precision and efficiency of quality inspections but also transformed the way manufacturers approach production and maintenance.
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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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