: S. Arungalai Vendan, Liang Gao, Akhil Garg, P. Kavitha, G. Dhivyasri, Rahul SG
: Interdisciplinary Treatment to Arc Welding Power Sources
: Springer-Verlag
: 9789811308062
: 1
: CHF 85.50
:
: Maschinenbau, Fertigungstechnik
: English
: 237
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

This book presents the fundamentals of arc phenomena, various arc welding power sources, their control strategies, welding data acquisition, and welding optimization. In addition, it discusses a broad range of electrical concepts in welding, including power source characteristics, associated parameters, arc welding power source classification, control strategies, data acquisitions techniques, as well as optimization methods. It also offers advice on how to minimize the flaws and improve the efficacy and performance of welds, as well as insights into the mechanical behavior expressed in terms of electromagnetic phenomena, which is rarely addressed. The book provides a comprehensive review of interdisciplinary concepts, offering researchers a wide selection of strategies, parameters, and sequences of operations to choose from.



Dr. S. Arungalai Vendan is an associate professor at the Industrial Automation and Instrumentation Division, VIT University, Vellore, India. He has been working on advanced welding processes since 2006. He received his Ph.D. degree from the National Institute of Technology (Institute of national importance), Tiruchirappalli, India in 2010. He has received several fellowships and awards for his technical contributions by various government agencies. He has successfully completed government funded research projects and industrial consultancy projects, and has published more than 70 research papers in international journal and conference proceedings.  He has associations with top manufacturing industries and Research and Development centers under various capacities. His research interests mainly focus on the interdisciplinary science which has confluence of terminologies from electrical/mechanical/metallu gical/ materials and magnetic technologies.

Prof. Liang Gao received his Ph.D. degree in Mechatronic Engineering from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 2002. He is currently a professor at the Department of Industrial and Manufacturing System Engineering, School of Mechanical Science and Engineering, HUST and the vice director of the State Key Lab of Digital Manufacturing Equipment& Technology. His chief research interests include optimization in design and manufacturing, and he has published more than 150 academic papers,. He is currently an associate editor for Swarm and Evolutionary Computation and the Journal of Industrial and Production Engineering, and an editorial board member of the European Journal of Industrial Engineering and Operations Research Perspectives.

Dr. Akhil Garg is an associate professor at the Ministry of Education's Intelligent Manufacturing Key Laboratory, Shantou University, China. He has been working on sustainable manufacturing processes and optimization methods since 2011. He received his doctoral degree from Nanyang Technological University (NTU), Singapore in 2014. He has published over 50 SCI-indexed articles in the areas of manufacturing and optimization.

Dr. P. Kavitha is an associate professor at the School of Electrical Engineering, VIT University, Vellore, India. Her research interests include control systems, analog and digital circuits, advanced control theory, process automation and process control.

Dr. G. Dhivyasri is an assistant professor at the School of Electrical Engineering, VIT University, Vellore, India. Dr. Dhivyasri's research interests include, control system, MEMS, sensors and signal conditioning, as well as analog& digital communication systems.

Dr. Rahul SG is an assistant professor at the School of Electrical Engineering, VIT University, Vellore, India. His research interests include control systems, industrial instrumentation, analytical instrumentation, programmable logic controller (PLC), and digital electronics.

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Contents5
1 Welding an Overview11
1.1 Basics of Arc Welding12
1.1.1 Electric Charge13
1.1.2 Electric Current13
1.1.3 Voltage13
1.1.4 Electrical Resistance14
1.1.5 Heat Input14
1.1.6 Power15
1.2 Equivalent Electrical Analogous Representation of Arc Welding15
1.3 Arc Welding as a Confluence of Several Disciplines16
1.4 Applications of Arc Welding16
References24
2 Insight into Arc Welding Power Source Terminologies25
2.1 Critical Arc Power Source Terminologies for Welding25
2.1.1 Arc Plasma25
2.1.2 Arc Efficiency26
2.1.3 Arc Stability26
2.1.4 Arc Blow27
2.1.5 Pinch Effect27
2.1.6 Arc Shielding27
2.2 Influence of Power Source Parameters on Weldment28
2.2.1 Open-Circuit Voltage (OCV)28
2.2.2 Arc Voltage29
2.2.3 Welding Current30
2.2.4 Electrode Polarity31
2.2.5 Power Factor31
2.2.6 Duty Cycle and Current Rating32
2.2.7 Class of Insulation32
2.3 Impact of Power Source Characteristics on Weldments33
2.3.1 Static Characteristics33
2.3.2 Dynamic Characteristics35
2.4 Classification of Arc Welding Power Sources35
2.4.1 Static Types35
2.4.2 Rotating Types39
2.5 Power Sources Components Briefing41
2.5.1 Diode41
2.5.2 BJT42
2.5.3 MOSFET44
2.5.4 Insulated Gate Bipolar Transistor (IGBT)46
2.5.5 Silicon-Controlled Rectifier (SCR)46
2.5.6 Pulse Width Modulators (PWM)48
2.5.7 Microprocessor49
2.5.8 Microcontroller49
2.5.9 Field-Programmable Gate Arrays (FPGAs)49
2.6 Evolution of Arc Welding Power Sources50
2.7 Switch-Based Techniques Adopted for Welding Power Sources53
2.8 Literature Addressing Power Source Parameters71
References77
3 Control Terminologies and Schemes for Arc Welding Processes81
3.1 Control System Terminologies81
3.1.1 Process81
3.1.2 System82
3.1.3 Control System82
3.1.4 Parameters/Variables82
3.1.5 Control83
3.1.6 Disturbances83
3.1.7 Setpoint83
3.1.8 Feedback83
3.1.9 Error84
3.1.10 Transfer Function84
3.1.11 Open Loop System84
3.1.12 Closed-Loop System85
3.2 Control System Analysis86
3.2.1 Order of the System86
3.2.2 Zeroth Order System86
3.2.3 First-Order System87
3.2.4 Second-Order System87
3.2.5 Linearity88
3.2.6 Sensitivity88
3.3 Introduction to Fundamental Controllers88
3.4 Stability Analysis89
3.5 Significance of Control System90
3.6 Control System for Arc Welding90
3.6.1 Sensing System91
3.6.2 Control Strategy and Algorithms91
3.6.3 Desired Gating Signals92
3.7 Controller Schemes Adopted for Welding Power Sources92
3.8 Process Parametric Influences on Weld Quality94
3.9 Real-Time Sample Reports on Formulating Adaptive Control Scheme for Cold Metal Transfer for JoiningAA6061129
3.9.1 Objective129
3.9.2 Implementation129
3.9.3 Controller Results131
3.9.4 MRAC Controller Response132
References135
4 Power Sources and Challenges for Different Arc Welding Processes137
4.1 Power Sources in Manual Metal Arc Welding (MMA)137
4.2 Power Sources in Shielded Metal Arc Welding (SMAC)137
4.3 Power Sources in Gas Tungsten Arc Welding (GTAW)/Tungsten Inert Gas Arc Welding (TIG)138
4.4 Power Sources in Gas Metal Arc Welding/Metal Inert Gas Welding (GMAW/MIG)139
4.5 Power Sources in Submerged Arc Welding (SAW)140
4.6 Major Challenges in Power Sources140
4.6.1 Harmonics140
4.6.2 Effects of Magnetic Field in Arc Welding142
4.6.3 Protection of Power Sources144
4.6.4 Cooling System144
References147
5 Sensors for Welding Data Acquisition149
5.1 Data Acquisition System149
5.1.1 What Are Sensors and Transducers?150
5.1.2 Signals151
5.1.3 What Is a DAQ Har