Intelligent Machining: Using Computational Intelligence to Optimize Manufacturing Processes
暫譯: 智能加工：利用計算智能優化製造流程

Kalita, Kanak, Ghadai, Ranjan Kumar, Gao, Xiao-Zhi

Intelligent Machining: Using Computational Intelligence to Optimize Manufacturing Processes
  • 出版商: Apple Academic Press
  • 出版日期: 2025-12-02
  • 售價: $7,490
  • 貴賓價: 9.5 折 $7,116
  • 語言: 英文
  • 頁數: 270
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1774919583
  • ISBN-13: 9781774919583
  • 相關分類: 工程數學 Engineering-mathematics

    • 海外代購書籍(需單獨結帳)

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商品描述

Manufacturing, as an industry, has been undergoing huge transformation in recent times due to technological development, putting manufacturing at the intersection of traditional techniques and advanced computational intelligence. This new volume offers an understanding of the nuances of this transformation. It provides an exploration of high-strength steel sections and discusses the selection of a CNC lathe using the TOPSIS method. Bibliometric insights into multi-objective optimization and metaheuristic algorithms are also discussed as is the development of high entropy alloys. The book delves into practical applications of computational intelligence, including optimizing investment casting process parameters, enhancing mobile robot navigation performance, and more. The intricate processes behind fabrication are also explored along with a study of wear and thermal behaviors of advanced composite coatings.

商品描述(中文翻譯)

製造業作為一個行業，近年來因技術發展而經歷了巨大的轉型，將製造置於傳統技術與先進計算智能的交匯點。這本新書提供了對這一轉型細微差別的理解。它探討了高強度鋼材截面，並討論了使用TOPSIS方法選擇CNC車床的過程。書中還討論了多目標優化和元啟發式演算法的文獻計量洞見，以及高熵合金的發展。該書深入探討了計算智能的實際應用，包括優化投資鑄造過程參數、提升移動機器人導航性能等。書中還探討了製造背後的複雜過程，以及先進複合塗層的磨損和熱行為研究。

作者簡介

Kanak Kalita, PhD, is an Associate Professor of Mechanical Engineering at Vel Tech University, Chennai, India. A prolific author and editor, he is listed among the Top 2% Scientists Worldwide 2023 by Stanford University. Dr. Kalita is an engaging speaker, having delivered expert lectures across various academic and professional platforms. His research interests include machine learning, fuzzy decision making, metamodeling, process optimization, the finite element method, and composites.
Ranjan Kumar Ghadai, PhD, is an Associate Professor of Mechanical and Industrial Engineering at the Manipal Institute of Technology, India. He has published more than 75 SCI/Scopus-indexed research articles and is a reviewer for several journals. He is also handling sponsored projects as principal or coprincipal investigator. His broad research area includes thin film coating deposition, process optimization, and development of composites.
Xiao-Zhi Gao, PhD, has been a Professor at the University of Eastern Finland, Kuopio, since 2018. Dr. Gao serves as chief editor, associate editor, and a member of the editorial boards for several prominent soft computing journals. He has published over 500 technical papers and over 400 research articles as well as two authored books and several edited books. His research is focused on nature-inspired computing methods, with applications spanning optimization, prediction, data mining, signal processing, control, and industrial electronics.

作者簡介(中文翻譯)

Kanak Kalita, PhD 是印度金奈Vel Tech大學的機械工程副教授。他是一位多產的作者和編輯，並於2023年被史丹佛大學列為全球前2%科學家。Kalita博士是一位引人入勝的演講者，曾在各種學術和專業平台上發表專題演講。他的研究興趣包括機器學習、模糊決策、元模型、過程優化、有限元素法以及複合材料。
Ranjan Kumar Ghadai, PhD 是印度Manipal科技學院的機械與工業工程副教授。他已發表超過75篇SCI/Scopus索引的研究文章，並擔任多本期刊的審稿人。他還作為主要或共同主要研究者負責多個贊助項目。他的廣泛研究領域包括薄膜塗層沉積、過程優化以及複合材料的開發。
Xiao-Zhi Gao, PhD 自2018年以來一直擔任芬蘭東部大學（Kuopio）的教授。Gao博士擔任多本知名軟計算期刊的主編、副編輯及編輯委員會成員。他已發表超過500篇技術論文和400篇研究文章，以及兩本專著和幾本編輯書籍。他的研究專注於自然啟發的計算方法，應用範圍涵蓋優化、預測、數據挖掘、信號處理、控制和工業電子學。

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