1st Edition
Manufacturing Technologies and Production Systems Principles and Practices
The book, which is part of a two-volume handbook set, presents a collection of recent advances in the field of industrial engineering, design, and related technologies. It includes state-of-the-art research conducted in the fields of Industry 4.0/5.0, smart systems/industries, robotics and automation, automobile engineering, thermal and fluid engineering, and its implementation.
Manufacturing Technologies and Production Systems: Principles and Practices offers a comprehensive description of the developments in industrial engineering primarily focusing on industrial design, automotive engineering, construction and structural engineering, thermo-fluid mechanics, and interdisciplinary domains.
The book captures emerging areas of materials science and advanced manufacturing engineering and presents the most recent trends in research for emerging researchers, field engineers, and academic professionals.
Chapter 1 Online Failure Detection during Coal Injection by Wavelet Analysis of Pressure Signal. Chapter 2 The Growing Influence of the Digital Medium in Contemporary Indian Art. Chapter 3 Automated Embedded IoT Framework Development for Electric Scooters. Chapter 4 Modelling the Barriers for the Implementation of Total Quality Management in Aircraft Maintenance Using ISM. Chapter 5 Investigation of the Effect of Throat Diameter on Thrust Force Developed in CD Rocket Nozzle Using CFD. Chapter 6 A Study on the Feasibility of a Hybrid District Heating System in the Indian North Region. Chapter 7 Numerical Analysis of Thermomagnetic Convection Flow in a Closed Loop for Cooling Application. Chapter 8 A Systematic Review on Solar Cells. Chapter 9 A Brief Review on ANN Approach towards the Physicochemical Properties of Biodiesel. Chapter 10 Effect of Rotation in a Maxwell Fluid in Porous Medium Heated Underside. Chapter 11 Augmented-Reality-Based Mobile Learning Environments: A Review. Chapter 12 Discussing Methods of Treatment for Obsessive-Compulsive Disorder by Using Sustainable Technology. Chapter 13 A Mechanistic Review of Clinical Applications of Microchip Electrophoresis and Recent Advancements. Chapter 14 An Insight into the Potential of Natural Products as Antiinflammatory Agents: A Systematic Review. Chapter 15 Deep-Learning-Based Road Surface Classification for Intelligent Vehicles. Chapter 16 An Empirical Review of Potholes Classification Using Road Images. Chapter 17 Robust Watermarking for Medicine. Chapter 18 Modern Deep Learning Networks for Medical Image Segmentation: An Overview. Chapter 19 Cloud and IoT for the Future Internet. Chapter 20 Increasing Crop Yield with Minimum Resource Utilization. Chapter 21 A Comparison of the Effectiveness of Unreal and Unity Engines in Constructing Virtual Environments. Chapter 22 Implementation of Augmented-Reality-Based English and Vocabulary Learning. Chapter 23 Study and Analysis of Low-Cost Wall Finishes for Affordable Housing. Chapter 24 Design of Image Retrieval Descriptor Based on the Fusion of Colour and Texture Feature Descriptors. Chapter 25 Identification of Facemask in a Hazy Environment: A Review of This Problem with a Solution. Chapter 26 A Fusion of U-Net and VGG16 Model for the Automatic Segmentation of Healthy Organs in the GI Tract. Chapter 27 Systematic Review of Image Computing Under Some Basic and Improvised Techniques. Chapter 28 Optimal Solution of Fully Intuitionistic Fuzzy Transportation Problems: A Modified Approach. Chapter 29 Reliability Optimization of an Industrial Model Using the Chaotic Grey Wolf Optimization Algorithm. Chapter 30 CT-Scan-Based Identification and Screening of Contagiously Spreading Disease Using 64-Slice CT Scanner. Chapter 31 Crop Protection from Animal Intrusion in the Fields Using Emerging Technologies: A Review. Chapter 32 Design of Enhanced Magnitude and Phase Response FIR Fractional-Order Digital Differentiator Using Lightning Attachment Procedure Optimization Algorithm. Chapter 33 A Network Analysis of AI and ML in the Insurance Industry through Systematic Literature Review. Chapter 34 State of the Art of Quantum Teleportation and Quantum Key Distribution Methods: A Survey. Chapter 35 An Analysis of Dimensionality Reduction Techniques to Predict the Effective Model for 5G Dataset. Chapter 36 Mango Leaf Disease Detection Using Deep Convolutional Neural Networks. Chapter 37 State of the Art of Hardware Security Attacks: Threats and Challenges. Chapter 38 Transition in E-Learning in Higher Education during the Pandemic.
Biography
Dr. Abhineet Saini received his Ph.D. degree in Mechanical Engineering from Panjab University, Chandigarh, India and has more than 11 years of teaching and research experience in the field of Manufacturing Technology which includes conventional machining, biomaterials, composite materials, additive manufacturing, CAD/CAM and engineering optimization. He has been associated with a number of international and national conferences in the role of session chair for technical sessions. He has been the reviewer of many peer-reviewed journals and has authored/ co-authored 20+ articles in peer-reviewed international journals of repute, conferences, and book chapters.
Dr. B. S. Pabla is an experienced academician and researcher with 36 years of experience in academics and 5 years in industry. He earned his PhD in Mechanical Engineering from Panjab University, Chandigarh, India, and has served at various administrative positions and is presently working as a Professor in the Mechanical Engineering Department at NITTTR Chandigarh. He has authored/co-authored books and research articles in various national and international journals of repute. He has also filed 4 patents of which 1 has been granted and 3 are under process. Dr. Pabla was awarded the Eminent Engineering Personality of the year in 2014 by the Institution of Engineers (India) Haryana State Centre, India, and has visited a number of national and international universities/ organizations for academic and research purposes.
Dr. Chander Prakash is an Associate Professor at the School of Mechanical Engineering, Lovely Professional University, Jalandhar, India. He has received a Ph.D. in Mechanical Engineering from Panjab University, Chandigarh, India. His area of research is biomaterials, rapid prototyping & 3-D printing, advanced manufacturing, modeling, simulation, and optimization. He has more than 11 years of teaching experience and 6 years of research experience. He has authored 100+ research papers and 20+ book chapters. He is also a Guest Editor of 2 Journals, as well as a book series editor for the Sustainable Manufacturing Technologies: Additive, Subtractive, and Hybrid, series for CRC Press/Taylor and Francis.
Dr. Gurmohan Singh has over 12 years of teaching, research, and industry experience. His areas of interest include additive manufacturing, biomedical engineering, material science, and integrative research areas. He received his Ph.D. degree in Mechanical Engineering from Chitkara University, Punjab, India and has been associated with a number of international and national conferences as a Session Chair for Technical Sessions. He has also been a Reviewer for many peer-reviewed journals and has authored/co-authored more than 10 research articles/book chapters. He has also been part of organizing committees for 3 international conferences.
Dr. Alokesh Pramanik is currently a Senior Lecturer in the Mechanical Engineering Department, School of Civil and Mechanical Engineering at Curtin University. He earned his Ph.D. degree in Mechanical Engineering from the University of Sydney and has more than 15 years of research experience in the fields of manufacturing as well as composite materials at different universities. He has published more than 110 research articles which include several books, many book chapters, and many reputed journal articles. His area of research is synthesis/development, surface modification, and advanced/precision machining of metallic and non-metallic biomaterials.
