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E-grāmata: DC Electric Machines, Electromechanical Energy Conversion Principles, and Magnetic Circuit Analysis: Practice Problems, Methods, and Solutions

  • Formāts: EPUB+DRM
  • Izdošanas datums: 10-Oct-2022
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031088636
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  • Formāts: EPUB+DRM
  • Izdošanas datums: 10-Oct-2022
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031088636
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This study guide is designed for students taking courses in DC electric machines, principles of electromechanical energy conversion, and magnetic circuit analysis. The textbook includes examples, questions, and exercises that will help electrical engineering students to review and sharpen their knowledge of the subject and enhance their performance in the classroom. Offering detailed solutions, multiple methods for solving problems, and clear explanations of concepts, this hands-on guide will improve student’s problem-solving skills and basic and advanced understanding of the topics covered.

1 Problems: Magnetic Circuits Analysis
1(4)
2 Solutions of Problems: Magnetic Circuits Analysis
5(8)
3 Problems: Inductance of Windings and Induced Voltage in Windings
13(6)
4 Solutions of Problems: Inductance of Windings and Induced Voltage in Windings
19(10)
5 Problems: Energy Loss in Magnetic Circuits
29(4)
6 Solutions of Problems: Energy Loss in Magnetic Circuits
33(8)
7 Problems: Electromechanical Energy Conversion
41(14)
8 Solutions of Problems: Electromechanical Energy Conversion
55(26)
9 Problems: Separately Excited DC Electric Generator
81(4)
10 Solutions of Problems: Separately Excited DC Electric Generator
85(8)
11 Problems: Shunt DC Electric Generator
93(4)
12 Solutions of Problems: Shunt DC Electric Generator
97(6)
13 Problems: Series and Compound DC Electric Generators
103(2)
14 Solutions of Problems: Series and Compound DC Electric Generators
105(6)
15 Problems: Separately Excited and Shunt DC Electric Motors
111(8)
16 Solutions of Problems: Separately Excited and Shunt DC Electric Motors
119(34)
17 Problems: Series DC Electric Motor
153(4)
18 Solutions of Problems: Series DC Electric Motor
157(16)
19 Problems: Compound DC Electric Motor
173(2)
20 Solutions of Problems: Compound DC Electric Motor
175(8)
21 Problems: Power Loss and Efficiency of DC Electric Machines
183(2)
22 Solutions of Problems: Power Loss and Efficiency of DC Electric Machines
185(8)
Index 193
Mehdi Rahmani-Andebili is an Assistant Professor in the Department of Engineering and Physics at the University of Central Oklahoma, OK, USA. Before that, he was also an Assistant Professor in the Electrical Engineering Department at Montana Technological University, MT, USA, and the Engineering Technology Department at State University of New York, Buffalo State, NY, USA, during 2019-2022. He received his first M.Sc. and Ph.D. degrees in Electrical Engineering (Power System) from Tarbiat Modares University and Clemson University in 2011 and 2016, respectively, and his second M.Sc. degree in Physics and Astronomy from the University of Alabama in Huntsville in 2019. Moreover, he was a Postdoctoral Fellow at Sharif University of Technology during 2016-2017. As a professor, he has taught many courses and labs, including Power System Analysis, DC and AC Electric Machines, Feedback Control Systems Analysis and Design, Renewable Distributed Generation and Storage, Industrial Electronics, Analog Electronics, Electrical Circuits and Devices, AC Electrical Circuits Analysis, DC Electrical Circuits Analysis, Essentials of Electrical Engineering Technology, and Algebra and Calculus-Based Physics. Dr. Rahmani-Andebili has more than 200 single-author and first-author publications, including journal papers, conference papers, textbooks, books, and book chapters. He is an IEEE Senior Member and the permanent reviewer of many credible journals. His research areas include Smart Grid, Power System Operation and Planning, Integration of Renewables and Energy Storages into Power System, Energy Scheduling and Demand-Side Management, Plug-in Electric Vehicles, Distributed Generation, and Advanced Optimization Techniques in Power System Studies.