Fr. 70.00

Unconventional Performance Oriented Power Transformers Design Methodologies

English · Hardback

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Description

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This book aims to offer practical and efficient methodologies to identify the main power transformer leading design variables that guarantee meeting a set of required performance specifications. Target audience are senior electrical power engineering students as well as design office engineers working in power transformers manufacturing plants.

List of contents

Introduction.- Common Materials Used in Power Transformers.- Important Basics Related to Magnetic Circuits and Electromagnetic Field Analysis.- Basics of Power Transformers Design.- Fulfilling Required Design Specs: Approaches and Trade-offs.- Role of Electromagnetic Field Calculations in Achieving Accurate Design.- Computer-Aided-Design (CAD) Approaches.- Conclusion.

About the author

Amr Adly received the B.Sc. and M.Sc. degrees in Electrical Power Engineering from Cairo University and the Ph.D. degree in Electrical Engineering from the University of Maryland, USA. He worked as a Senior Magnetics Scientist at LDJ Electronics, USA and has been a faculty member in Cairo University since 1994. During the summers of years 1996-2000, Prof. Adly worked as a Visiting Research Professor at the University of Maryland, USA. Prof. Adly worked as a design consultant to a major Power Transformer Design Manufacturer. He served as Cairo University Vice President for Graduate Studies and Research, and the Deputy Minister of Higher Education. He has been serving as the President of Egypt-Japan University of Science and Technology since 2022. He authored two books, published more than 140 reviewed papers, holds one U.S. patent and has been an IEEE Fellow since 2010. Prof. Adly has been awarded numerous awards such as the University of Maryland ECE Dept. Distinguished Alumni Award, and the Egyptian State Appreciation Prize.
Salwa Abd-El-Hafiz received the B.Sc. degree in Electronics and Electrical Communications Engineering from Cairo University-Faculty of Engineering (CUFE), Egypt and the M.Sc. and Ph.D. degrees in Computer Science from the University of Maryland, College Park, MD, USA. Since 1994, she has been a faculty member in the Engineering Mathematics and Physics Department, CUFE, and became a Full Professor in 2004. From 2014 to 2020, she served as Director of the Technical Center for Career Development, Department Chair, and Vice Dean for Graduate Studies and Research, respectively, in CUFE. She co-authored two books, contributed different chapters to four books, and published more than 110 reviewed papers. Her research interests include computational intelligence, software engineering, and information security. Prof. Abd-El-Hafiz is a recipient of the 2001 Egyptian State Encouragement Prize in Engineering Sciences, recipient of the 2014 African Union Kwame Nkrumah Regional Scientific Award for Women in basic science, technology and innovation, and an IEEE senior member.

Summary

This book aims to offer practical and efficient methodologies to identify the main power transformer leading design variables that guarantee meeting a set of required performance specifications. Target audience are senior electrical power engineering students as well as design office engineers working in power transformers manufacturing plants.

Product details

Authors Salwa Abd-El-Hafiz, Amr Adly
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 06.04.2025
 
EAN 9783031852206
ISBN 978-3-0-3185220-6
No. of pages 93
Dimensions 168 mm x 9 mm x 240 mm
Weight 331 g
Illustrations XII, 93 p. 47 illus., 35 illus. in color.
Series Synthesis Lectures on Electrical Engineering
Subjects Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering

Künstliche Intelligenz, Computational Intelligence, Electrical Power Engineering, use of ANN in power transformers design, transformers dimensions-performance correlation, unconventional power transformers design methodologies, Power engineering design

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