Nanosensors for Smart Manufacturing

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· Elsevier
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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. - Outlines the smart nanosensor classes used in manufacturing applications - Shows how nanosensors are being used to make more efficient manufacturing systems - Assesses the major obstacles to designing nanosensor-based manufacturing systems at an industrial scale

O autorze

Sabu Thomas is a Senior Professor of Mahatma Gandhi University, Kottayam, Kerala, India, and also Chairman of the TrEST Research Park, Trivandrum, India. He is known for his outstanding contributions in polymer science and nanotechnology.

Tuan Anh Nguyen is Senior Principal Research Scientist at the Institute for Tropical Technology, Vietnam Academy of Science and Technology, Vietnam. He received B.S. in Physics from Hanoi University in 1992, and Ph.D. in Chemistry from the Paris Diderot University (France) in 2003. He was Visiting Scientist at Seoul National University (South Korea, 2004) and University of Wollongong (Australia, 2005). He then worked as Postdoctoral Research Associate and Research Scientist in the Montana State University (USA), 2006-2009. In 2012, he was appointed as the Head of the Microanalysis Department at Institute for Tropical Technology. His research activities include smart sensors, smart networks, smart hospitals, smart cities and digital twins. He edited over 70 Elsevier, 12 CRC Press, 1 Springer, 1 RSC and 2 IGI Global books. He is Editor-In-Chief of "Kenkyu Journal of Nanotechnology & Nanoscience".

Dr. Mazaher Ahmadi received his Ph.D. in Analytical Chemistry from Bu-Ali Sina University in 2017. He has been to Alicante University, Spain, and Stockholm University, Sweden, as a visiting researcher in 2015-2016 and 2016-2017, respectively. He became an Assistant Professor of Analytical Chemistry at Bu-Ali Sina University in 2019. His professional experiences also include two post-doctorate research courses at Shiraz University of Medical Science, Iran, and Bu-Ali Sina University, Iran, in 2017-2018 and 2018-2019, respectively. Dr. Ahmadi is an expert in nanotechnology, analytical method development, pollutant removal, and wastewater treatment. He has edited six Elsevier books. He also has contributed eleven book chapters with Elsevier.

Dr. Ali Farmani is an Assistant Professor in the Department of Electrical Engineering at Lorestan University in Khorramabad, Iran. His research focuses on optical nanostructured materials.

Ghulam Yasin is a researcher in the School of Environment and Civil Engineering at Dongguan University of Technology, Guangdong, China. His expertise covers the design and development of hybrid devices and technologies of carbon nanostructures and advanced nanomaterials for for real-world impact in energy-related and other functional applications.

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