Nanosensors for Smart Manufacturing
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Form:Einzelkauf Download
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Sprache:Englisch
210,00 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
10.06.2021
Herausgeber
Sabu Thomas + weitereVerlag
Elsevier Science & Techn.Seitenzahl
632 (Printausgabe)
Dateigröße
79946 KB
Sprache
Englisch
EAN
9780128236529
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
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
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