DC Motors: Modeling, Designing and Building with 3D Printers

Cuevas, Erik, Zaldivar, Daniel, Ayala, Ernesto

DC Motors: Modeling, Designing and Building with 3D Printers
  • 出版商: Springer
  • 出版日期: 2024-08-02
  • 售價: $2,280
  • 貴賓價: 9.5 折 $2,166
  • 語言: 英文
  • 頁數: 217
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031643534
  • ISBN-13: 9783031643538

    • 海外代購書籍(需單獨結帳)

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商品描述

This textbook provides readers with the knowledge and practical skills necessary to understand, design, and construct their own functional DC motors using 3D printing technology. The authors provide a clear and accessible introduction to the fundamental concepts of DC motors, explaining how they work, their different types, and their applications in a way that is easy for readers with limited technical background to understand. The book bridges the gap between theoretical knowledge and practical application, so that readers see how theoretical concepts translate into real devices. The authors guide readers through the process of building their own DC motors, using 3D printing technology. Readers can gain hands-on experience creating functional devices, using the step-by-step instructions, illustrations, and diagrams. The authors' focus on 3D printing enables readers to explore the field of customization, so they can adapt motor designs to fit their specific needs, whether for a project, a prototype, or an application.

商品描述(中文翻譯)

這本教科書為讀者提供了理解、設計和建造自己功能性直流電動機所需的知識和實用技能，並利用3D列印技術。作者清晰且易於理解地介紹了直流電動機的基本概念，解釋了它們的工作原理、不同類型及其應用，讓技術背景有限的讀者也能輕鬆理解。這本書彌合了理論知識與實際應用之間的鴻溝，使讀者能夠看到理論概念如何轉化為實際設備。作者引導讀者通過使用3D列印技術來建造自己的直流電動機。讀者可以透過逐步指導、插圖和圖表獲得實際操作的經驗，創造功能性設備。作者對3D列印的重視使讀者能夠探索客製化的領域，從而根據特定需求調整電動機設計，無論是用於專案、原型還是應用。

作者簡介

Dr. Erik Cuevas received his B.S. degree with distinction in Electronics and Communications Engineering from the University of Guadalajara, Mexico, in 1995, the M.Sc. degree in Industrial Electronics from ITESO, Mexico, in 2000, and the Ph.D. degree from Freie Universität Berlin, Germany in 2006. Since 2006 he has been with the University of Guadalajara, where he is currently a full-time Professor in the Department of Computer Science. Since 2008, he is a member of the Mexican National Research System (SNI III). He is the author of several books and articles. His current research interest includes Meta-heuristics, computer vision, and mathematical methods. He serves as an editor in Expert System with Applications, ISA Transactions, and Applied Soft Computing, Applied Mathematical Modeling and Mathematics and Computers in Simulation.

Daniel Zaldivar graduated from the University of Guadalajara, Mexico in 1995 with a B.S. degree in Electronics and Communications Engineering. Later, in 2000, he earned his M.Sc. degree in Industrial Electronics from ITESO, Mexico, and in 2006 he received his Ph.D. degree from Freie Universität Berlin, Germany. Since then, he has been employed as a full-time Professor in the Department of Computer Science at the University of Guadalajara, where he currently holds his position.

Ernesto Ayala, originally from León, Guanajuato was born in 1982. He received the title of Electrical Mechanical Engineer in 2017 and in 2019 the master's degree in Applied Computing at the University of Guadalajara. He is currently a PhD candidate in Electronics and Computing Sciences. Since 2018, he has been teaching curricular courses in Robotics Engineering and Electronic Engineering in the Division of Technologies for Cyber-human Integration of the University Center for Exact Sciences and Engineering. His area of expertise is computer vision and evolutionary computing.

Mr. Ayala collaborates with a research group atthe University of Guadalajara focused on the development of ecological and autonomous driving vehicles.

Oscar González received his B.S. with distinction in Electronic Engineering and Communications from the University of Guadalajara, Mexico, in 2022. During the COVID-19 pandemic, he was a member of the advisory committee for the COVID-19 pandemic of the University of Guadalajara. For his contributions and studies on COVID-19, he has been awarded the Irene Robledo García Award, the highest distinction of the University of Guadalajara for social service in 2022.

Fernando Vega received the title of technical career in electricity by C.B.E.T.I.S. in 2014. Obtained a B.S. degree in Mechatronics from the National Technologist of Mexico, campus Culiacan, Mexico, in 2019. He is part of the University of Guadalajara, a full-time student M.S. in the Electronics and Computer Science program. His current research interests include motors design, electric vehicle design, Metaheuristics.

作者簡介(中文翻譯)

Dr. Erik Cuevas於1995年獲得墨西哥瓜達拉哈拉大學電子與通信工程學士學位，並以優異成績畢業；2000年獲得墨西哥ITESO工業電子碩士學位；2006年獲得德國柏林自由大學博士學位。自2006年以來，他一直在瓜達拉哈拉大學任教，目前是計算機科學系的全職教授。自2008年以來，他是墨西哥國家研究系統（SNI III）的成員。他是多本書籍和文章的作者，目前的研究興趣包括元啟發式演算法、計算機視覺和數學方法。他擔任《Expert System with Applications》、《ISA Transactions》、《Applied Soft Computing》、《Applied Mathematical Modeling》和《Mathematics and Computers in Simulation》的編輯。

Daniel Zaldivar於1995年從墨西哥瓜達拉哈拉大學獲得電子與通信工程學士學位。隨後，他於2000年獲得墨西哥ITESO工業電子碩士學位，並於2006年獲得德國柏林自由大學博士學位。自那時起，他一直在瓜達拉哈拉大學計算機科學系擔任全職教授，並持續在該職位上工作。

Ernesto Ayala，原籍墨西哥瓜納華托州的萊昂，於1982年出生。他於2017年獲得電氣機械工程學位，並於2019年在瓜達拉哈拉大學獲得應用計算碩士學位。目前，他是電子與計算科學的博士候選人。自2018年以來，他在瓜達拉哈拉大學精確科學與工程大學中心的網路人類整合技術部門教授機器人工程和電子工程的課程。他的專業領域是計算機視覺和進化計算。

Ayala先生與瓜達拉哈拉大學的一個研究小組合作，專注於生態和自動駕駛車輛的開發。

Oscar González於2022年獲得墨西哥瓜達拉哈拉大學電子工程與通信學士學位，並以優異成績畢業。在COVID-19疫情期間，他是瓜達拉哈拉大學COVID-19疫情諮詢委員會的成員。因其對COVID-19的貢獻和研究，他於2022年獲得了伊蓮娜·羅布萊多·加西亞獎，這是瓜達拉哈拉大學社會服務的最高榮譽。

Fernando Vega於2014年獲得C.B.E.T.I.S.的電力技術職業學位。2019年，他在墨西哥庫利亞坎的國立技術學院獲得機電一體化學士學位。他是瓜達拉哈拉大學的全職碩士生，專攻電子與計算機科學項目。目前他的研究興趣包括馬達設計、電動車設計和元啟發式演算法。

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