Nanosensors for Smart Manufacturing provides information on the fundamental design concepts and emerging applications of nanosensors in smart manufacturing processes. In smart production, if the products and machines are integrated, embedded, or equipped with sensors, the system can immediately collect the current operating parameters, predict the product quality, and then feed back the optimal parameters to machines in the production line. In this regard, smart sensors and their wireless networks are important components of smart manufacturing.
Nanomaterials-based sensors (nanosensors) offer several advantages over their microscale counterparts, including lower power consumption, fast response time, high sensitivity, lower concentration of analytes, and smaller interaction distance between sensors and products. With the support of artificial intelligence (AI) tools such as fuzzy logic, genetic algorithms, neural networks, and ambient intelligence, sensor systems have become smarter. This is an important reference source for materials scientists and engineers who want to learn more about how nanoscale sensors can enhance smart manufacturing techniques and processes.
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Sabu Thomas is a Professor and Director of the International and Interuniversity Centre for Nanoscience and Nanotechnology, Mahatma Gandhi University, Kerala, India. Professor Thomas is internationally recognized for his contributions to polymer science and engineering, with his research interests encompassing polymer nanocomposites, elastomers, polymer blends, interpenetrating polymer networks, polymer membranes, green composites, nanocomposites, nanomedicine, and green nanotechnology. His groundbreaking inventions in polymer nanocomposites, polymer blends, green bionanotechnology, and nano-biomedical sciences have significantly advanced the development of new materials for the automotive, space, housing, and biomedical fields.
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