Modelling and Optimisation of Laser Assisted Oxygen (Lasox) Cutting: A Soft Computing Based Approach
暫譯: 激光輔助氧氣切割（Lasox）的建模與優化：基於軟計算的方法

Chaki, Sudipto, Ghosal, Sujit

Modelling and Optimisation of Laser Assisted Oxygen (Lasox) Cutting: A Soft Computing Based Approach
  • 出版商: Springer
  • 出版日期: 2019-01-28
  • 售價: $2,390
  • 貴賓價: 9.5 折 $2,271
  • 語言: 英文
  • 頁數: 56
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030049027
  • ISBN-13: 9783030049027

    • 海外代購書籍(需單獨結帳)

商品描述

This book presents the basics of the Laser Assisted Oxygen (LASOX) cutting process, its development, advantages and shortcomings, together with detailed information on the research work carried out to date regarding the modelling and optimization of the process. It introduces two integrated soft computing-based models consisting of Artificial Neural Networks (ANN-GA and ANN SA) for the modelling and optimization of LASOX cutting. It also includes an in-depth discussion on the basic working algorithms of soft computing tools such as Artificial Neural Networks, Genetic Algorithms, Simulated Annealing etc. The book not only provides an approach to optimizing LASOX by means of soft computing-based integrated models, but also illustrates the practical implementation of the proposed models.

商品描述(中文翻譯)

本書介紹了激光輔助氧氣（Laser Assisted Oxygen, LASOX）切割過程的基本原理、發展、優點和缺點，以及迄今為止在該過程建模和優化方面所進行的研究工作的詳細資訊。書中介紹了兩個基於軟計算的集成模型，包括人工神經網絡（Artificial Neural Networks, ANN-GA 和 ANN SA），用於 LASOX 切割的建模和優化。此外，還深入討論了軟計算工具的基本工作算法，如人工神經網絡、遺傳算法（Genetic Algorithms）、模擬退火（Simulated Annealing）等。本書不僅提供了通過基於軟計算的集成模型來優化 LASOX 的方法，還說明了所提模型的實際實施。

作者簡介

Sudipto Chaki received his B.Tech. degree in Mechanical Engineering from North Eastern Regional Institute of Science and Technology, Itanagar, India in 2003, his M.Tech. degree in Manufacturing Technology from the National Institute of Technical Teachers' Training and Research, Kolkata, India in 2007, and his Ph.D. in Engineering from Jadavpur University in 2013. He is presently working as an Associate Professor and Head of the Automobile Engineering Department at MCKV Institute of Engineering, West Bengal, India. He has published 28 research papers so far, in national and international journals and conference proceedings. His research interests include applications of Soft Computing techniques for the modelling and optimization of manufacturing processes.

Sujit Ghosal received his B.Eng. degree in Mechanical Engineering from Jadavpur University, India in 1976, his M.Tech. degree in Mechanical Engineering from the same institute in 1988, and his Ph.D. in Engineering from the Indian Institute of Technology, Kharagpur, India in 1993. He retired as a Professor at the Mechanical Engineering Department of Jadavpur University, India in 2018 and at present working as Professor, Mechanical Engineering Department, Netaji Subhas Engineering College, Garia, Kolkata, India. He has more than 25 years of teaching and research experience and has published large number of research papers in national and international journals and conference proceedings. He is also working as a technical advisor for various Government and multi-national organizations. His research interest includes CFD, droplet combustion, optimization and hydraulic systems.

作者簡介(中文翻譯)

Sudipto Chaki於2003年在印度伊塔納格的東北區域科學與技術學院獲得機械工程的B.Tech.學位，於2007年在印度加爾各答的國立技術教師培訓與研究院獲得製造技術的M.Tech.學位，並於2013年在賈達夫普爾大學獲得工程學的博士學位。他目前擔任印度西孟加拉州MCKV工程學院汽車工程系的副教授及系主任。他迄今已在國內外期刊和會議論文集中發表了28篇研究論文。他的研究興趣包括軟計算技術在製造過程建模和優化中的應用。

Sujit Ghosal於1976年在印度賈達夫普爾大學獲得機械工程的B.Eng.學位，於1988年在同一所學校獲得機械工程的M.Tech.學位，並於1993年在印度卡哈拉古爾的印度理工學院獲得工程學的博士學位。他於2018年退休，曾擔任賈達夫普爾大學機械工程系的教授，目前在印度加爾各答的內塔吉·蘇巴斯工程學院機械工程系擔任教授。他擁有超過25年的教學和研究經驗，並在國內外期刊和會議論文集中發表了大量研究論文。他還擔任多個政府和跨國組織的技術顧問。他的研究興趣包括計算流體力學（CFD）、液滴燃燒、優化和液壓系統。

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