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Flexible Sensors for Energy-harvesting Applications (eBook)

Artikelnummer: 978-3-030-99600-0
Einband: PDF
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This book investigates the fabrication of different types of flexible sensors and their subsequent implementation for energy-harvesting applications. A range of techniques, including 3D printing, soft lithography, laser ablation, micro-contract printing, screen-printing, inkjet printing and others have been used to form the flexible sensors with varied characteristics. These sensors have been used for biomedical, environmental and healthcare applications on the basis of their performances. The quality of these flexible sensors has depended on certain types of nanomaterials that have been used to synthesize the conductive parts of the prototypes. These nanomaterials have been based on different sizes and shapes, whose quality varied on the basis of certain factors like crystallinity, shapes and sizes. One of the primary utilization of these nanotechnology-based flexible sensors has been the harvesting of energy where nano-generators and nano-harvesters have been formed to generate and store energy, respectively, on small and moderate magnitudes. Mechanical and thermal energies have been harvested on the basis of the piezoelectric, pyroelectric and triboelectric effects created by the formed prototypes. The work highlights the amalgamation of these sectors to spotlight the essence of these types of sensors and their intended application.  


This book investigates the fabrication of different types of flexible sensors and their subsequent implementation for energy-harvesting applications. A range of techniques, including 3D printing, soft lithography, laser ablation, micro-contract printing, screen-printing, inkjet printing and others have been used to form the flexible sensors with varied characteristics. These sensors have been used for biomedical, environmental and healthcare applications on the basis of their performances. The quality of these flexible sensors has depended on certain types of nanomaterials that have been used to synthesize the conductive parts of the prototypes. These nanomaterials have been based on different sizes and shapes, whose quality varied on the basis of certain factors like crystallinity, shapes and sizes. One of the primary utilization of these nanotechnology-based flexible sensors has been the harvesting of energy where nano-generators and nano-harvesters have been formed to generate and store energy, respectively, on small and moderate magnitudes. Mechanical and thermal energies have been harvested on the basis of the piezoelectric, pyroelectric and triboelectric effects created by the formed prototypes. The work highlights the amalgamation of these sectors to spotlight the essence of these types of sensors and their intended application.  


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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2022
Seitenangabe238 S.
AusgabekennzeichenEnglisch
AbbildungenVIII, 238 p. 83 illus., 80 illus. in color.
Masse7'219 KB
PlattformPDF
ReiheSmart Sensors, Measurement and Instrumentation; Chemistry and Materials Science; Chemistry and Material Science
AutorNag, Anindya (Hrsg.) / Mukhopadhyay, Subhas Chandra (Hrsg.)

Alle Bände der Reihe "Smart Sensors, Measurement and Instrumentation; Chemistry and Materials Science; Chemistry and Material Science (R0)"

Über den Autor Anindya (Hrsg.) Nag

Anindya Nag obtained an M.Sc. in Computer Science and Engineering from Khulna University in Khulna, Bangladesh, and a B.Tech. in Computer Science and Engineering from Adamas University in Kolkata, India. He is currently a lecturer in the Department of Computer Science and Engineering at the Northern University of Business and Technology in Khulna, Khulna 9100, Bangladesh. His research focuses on health informatics, medical Internet of Things, neuroscience, and machine learning. He serves as a reviewer for numerous prestigious journals and international conferences. He has authored and co-authored about 60 publications, including journal articles, conference papers, and book chapters, and has co-edited books.Md. Mehedi Hassan is currently a Ph.D. researcher in STEM (Computer and Information Science) at the University of South Australia, working on a fully funded research project. He started his Ph.D. in 2025, building on a strong academic background in computer science and engineering. He holds an M.Sc. in Computer Science and Engineering from Khulna University, Bangladesh, completed in 2024, and a B.Sc. in Computer Science and Engineering from North Western University, completed in 2022. His research spans computer science engineering and data science, with a strong focus on predictive analysis and expert system development. Md. Mehedi Hassan has authored 73 research papers and edited 5 books, actively contributing to the academic community. He serves as a peer reviewer for over 80 prestigious journals and collaborates extensively in interdisciplinary research. As a trainer for the VCourse platform, he has educated over 250 students over the past two years, sharing knowledge in emerging technologies and research methodologies. Beyond publications, he has actively engaged in intellectual property development, with several patents filed and three already granted in his name. His current research interests include computational neuroscience, machine learning for healthcare, and predictive modeling for biometrics.Dr. Riya Sil is an Associate Professor in Department of Computer Science & Engineering, Brainware University, Kolkata, India. Dr. Riya Sil holds a B.Tech & M.Tech degree in Computer Science & Engineering from Birla Institute of Technology and a PhD degree with a specialization in Legal Analytics. She has a total professional experience of about 9 years, including 7 years in academics and 2 years as Software Developer at Cognizant Technology Solutions (CTS). During her academic tenure, she has served as Asst. Professor in Computer Science & Engineering department in various institutions like Kristu Jayanti College - Autonomous, Techno India University, and Adamas University. Her research focuses on Machine Learning; Natural Language Processing (NLP); Deep Learning; Artificial Intelligence (AI) and Cloud Computing. She serves as a reviewer for various reputable journals and international conferences. She has about 40 publications to her credit which include peer-reviewed SCI and Scopus-indexed journals, conferences and book chapters.Dr. Asif Karim currently works at the Faculty of Science and Technology, Charles Darwin University. Asif does research in Machine Learning based Health Informatics and Blockchain Applications. He has considerable Industry Experience in the field of IT, primarily in Software Engineering. Complete Information about his Research Publications, Teaching and Grants are available at https://asifkarim.com/.

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