Geometrical Enhancements Based on Data-Driven Design Decisions
暫譯: 基於資料驅動設計決策的幾何增強

Mandol, Sourabh, Kumar, Mohit Hemanth, Verma, Akarsh

  • 出版商: CRC
  • 出版日期: 2026-10-16
  • 售價: $2,690
  • 貴賓價: 9.5 折 $2,555
  • 語言: 英文
  • 頁數: 198
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1041028253
  • ISBN-13: 9781041028253
  • 相關分類: Data-mining、Machine Learning、Data-visualization
  • 尚未上市,無法訂購

相關主題

商品描述

The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features.

This book:

  • Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysis
  • Offers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysis
  • Discusses multi-objective optimization for product design and development through data-driven decision-making
  • Explains information processing and analysis through data visualization and data mining
  • Covers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applications

It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.

商品描述(中文翻譯)

本書介紹以資料分析(data analytics)基礎為依據、可支援有效決策的各種設計與建模方案。內容進一步探討永續設計與資料驅動設計綜合、產品分析及其在永續發展中的作用,以及用於產品特徵幾何評估的描述性模型。

本書:

• 使讀者熟悉各種決策流程,並運用資料驅動設計分析推導幾何特性
• 透過資料驅動建模與分析,為多學科工程應用提供更全面的方法
• 討論如何透過資料驅動決策,進行產品設計與開發的多目標最佳化
• 說明如何透過資料視覺化與資料探勘進行資訊處理與分析
• 涵蓋以人工智慧(artificial intelligence)與機器學習(machine learning)為基礎的決策模型,以及其在跨學科應用中的有效運用

本書主要適合工業工程、生產工程、製造工程、機械工程與航空太空工程等領域的高年級大學生、研究生及學術研究人員閱讀。

作者簡介

Sourabh Mandol is a skilled data analyst and researcher with a PhD. in Product Design & Development from IIT Kharagpur, India. Specializing in data-driven modeling and machine learning applications in engineering, Dr. Mandol has extensive expertise in applying advanced analytical techniques, including statistical analysis, soft computing, and multidisciplinary design optimization. His research focuses on developing innovative methodologies for complex engineering systems, particularly in the areas of eco-design, sustainability, and hybrid electric vehicle optimization. Currently serving as an Assistant Professor, Dr. Mandol brings his industry-relevant expertise to the classroom, teaching courses in data-driven decision making, analytics, and product design. He has a proven track record of implementing machine learning algorithms for quality control and process optimization in manufacturing, as well as developing digital twin concepts for engineering applications. Dr. Mandol's work has been published in reputable journals and presented at international conferences, showcasing his commitment to driving innovation through the integration of data science and engineering principles.

Mohit Hemanth Kumar is an accomplished academic currently serving as Assistant Professor and Associate Director of the AU IPR Cell at Alliance University, Bengaluru. With 5 years of teaching and research experience, he earned his PhD from the National Institute of Technology, Tiruchirappalli, where he specialized in the development and investigation of nano fillers reinforced hybrid polymer composites. His research interests span several critical areas in mechanical engineering and materials science, focusing on inorganic fillers reinforced hybrid polymer composites, nanocomposites, waste-to-innovative products, industrial product design and development, and manufacturing technology. As an educator, he has developed and taught courses in mechanical engineering fundamentals, product development and design, additive manufacturing, smart manufacturing, and materials technology. Dr. Kumar's research contributions have made a significant impact in his field, garnering over 1,400 citations and achieving an h-index of 19. His innovative work has led to 24 granted patents and 21 granted industrial designs, with 5 more patents awaiting approval. He has published extensively, with 43 articles in reputed international journals, authored 27 book chapters, and served as editor for 6 books. As a registered Patent Agent (IN/PA 5341), Dr. Kumar actively contributes to intellectual property development and protection. He maintains strong professional affiliations as a Life Member of several prestigious organizations, including the Indian Society of Technical Education, Institute of Engineer's India, Society for Failure Analysis, International Association of Engineers, and the Powder Metallurgy Association of India. Through his international research collaborations and contributions to curriculum development, Dr. Kumar continues to advance both the academic and practical aspects of mechanical engineering and materials science.

Akarsh Verma is currently an Assistant Professor at the University of Petroleum and Energy Studies (UPES), India. He obtained PhD. in Mechanical Engineering from the Indian Institute of Technology (IIT) Roorkee, India; and did his postdoctoral research work at the Brigham Young University (USA) and was as a JSPS International Research Fellow at the Osaka University (Japan). He serves the research community by acting as a reviewer for various International journals and has reviewed several research articles. In addition, he has published various research articles in high-quality international peer-reviewed journals, many books and book chapters, and also presented many research papers at various international/national conferences. His areas of interests are computational mechanics, computational chemistry, quantum mechanics, molecular dynamics, nanocomposites, etc. He has various international fellowships/awards (Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship, Japan; J. William Fulbright Doctoral Research Fellowship, USA; Early Career Training Grant award for Early Career Researchers from the Communications Materials (Nature Journal); Researcher Development Grant from the Royal Society of Chemistry (RSC), UK; Excellence in Doctoral Research Award for the Best Ph.D. thesis research work at IIT Roorkee, India; Doctoral Research Scholarship by the Department of Science and Technology (DST), Government of India and Ministry of Human Resource Development (MHRD), Government of India; PG Scholarship by the All India Council for Technical Education (AICTE), India; Young Researcher Award ICMR2022, Japan) to his credit. He has also been recognized by Stanford University's list of the world's Top 2% of the Most-Cited Scientists in Single Year Citation Impact (2023, 2022, 2021 and 2020).

V. K. Singh is currently a professor in the Department of Mechanical Engineering at Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India. Prof. Singh has over 20 years of teaching and research experience. He has contributed to over 100 papers in various international and national journals and conferences. He has also handled several research projects and also guided a number of M.Tech and Ph.D. theses. His current research interests are in the areas of polymers, composite materials, and fracture mechanics. He is also a member of several engineering societies and serves the research community by reviewing research papers. He has also organized over 10 international and national conferences. He has also served in administrative-level positions at the university and state level.

作者簡介(中文翻譯)

Sourabh Mandol 是一位技術精湛的資料分析師與研究員,擁有印度 IIT Kharagpur 的產品設計與開發博士學位。他專精於工程領域中的資料驅動建模與機器學習應用,並在統計分析、軟計算及多學科設計最佳化等進階分析技術方面具備豐富專業經驗。Dr. Mandol 的研究著重於為複雜工程系統開發創新方法,尤其集中於生態設計、永續性及混合動力電動車最佳化等領域。目前擔任助理教授的 Dr. Mandol,將其與產業密切相關的專業知識帶入課堂,教授資料驅動決策、分析學及產品設計等課程。他在製造業中導入機器學習演算法進行品質控制與製程最佳化,以及為工程應用開發數位孿生概念方面,皆有良好的實績。Dr. Mandol 的研究成果已發表於知名期刊,並在國際會議上發表,展現出他透過整合資料科學與工程原理推動創新的投入與承諾。

Mohit Hemanth Kumar 是一位傑出的學者,目前擔任 Alliance University(Bengaluru)的助理教授及 AU IPR Cell 副主任。他擁有 5 年的教學與研究經驗,並於 National Institute of Technology, Tiruchirappalli 取得博士學位,專精於奈米填料增強混合聚合物複合材料的開發與研究。他的研究興趣涵蓋機械工程與材料科學中的多個重要領域,包括無機填料增強混合聚合物複合材料、奈米複合材料、廢棄物轉化創新產品、工業產品設計與開發,以及製造技術。身為教育工作者,他曾開發並教授機械工程基礎、產品開發與設計、積層製造、智慧製造及材料技術等課程。Dr. Kumar 的研究貢獻對其專業領域產生了重大影響,累積超過 1,400 次引用,並取得 19 的 h-index。他的創新研究已促成 24 項核准專利及 21 項核准工業設計,另有 5 項專利正在等待核准。他發表成果豐富,包括在知名國際期刊發表 43 篇論文、撰寫 27 篇書籍章節,並擔任 6 本書的編輯。他是註冊專利代理人(IN/PA 5341),積極參與智慧財產的開發與保護。Dr. Kumar 亦與多個知名組織保持密切的專業聯繫,並擔任 Indian Society of Technical Education、Institute of Engineer's India、Society for Failure Analysis、International Association of Engineers 及 Powder Metallurgy Association of India 等組織的終身會員。透過國際研究合作與課程開發工作,Dr. Kumar 持續推動機械工程與材料科學在學術及實務層面的發展。

Akarsh Verma 目前擔任印度 University of Petroleum and Energy Studies(UPES)的助理教授。他於印度 Indian Institute of Technology(IIT)Roorkee 取得機械工程博士學位,並曾在 Brigham Young University(美國)從事博士後研究,也曾擔任 Osaka University(日本)的 JSPS International Research Fellow。他透過擔任多份國際期刊的審稿人,為研究社群提供服務,並已審閱多篇研究論文。此外,他也在高品質的國際同儕審查期刊發表多篇研究論文,撰寫多本書籍與書籍章節,並於多場國際及國內會議發表研究論文。他的研究興趣包括計算力學、計算化學、量子力學、分子動力學、奈米複合材料等。他曾獲得多項國際獎學金與獎項,包括 Japan Society for the Promotion of Science(JSPS)博士後獎學金(日本)、J. William Fulbright Doctoral Research Fellowship(美國)、Communications Materials(Nature Journal)提供給早期職涯研究人員的 Early Career Training Grant 獎項、Royal Society of Chemistry(RSC,英國)提供的 Researcher Development Grant、印度 IIT Roorkee 最佳博士論文研究工作的 Excellence in Doctoral Research Award、印度 Government of India Department of Science and Technology(DST)及 Ministry of Human Resource Development(MHRD)提供的博士研究獎學金、All India Council for Technical Education(AICTE,印度)提供的研究生獎學金,以及 Young Researcher Award ICMR2022(日本)。此外,他也獲列入 Stanford University 所公布的全球前 2% 高被引科學家名單,並在單年度引用影響力方面於 2023、2022、2021 及 2020 年獲得認可。

V. K. Singh 目前擔任印度 Pantnagar 的 Govind Ballabh Pant University of Agriculture and Technology 機械工程系教授。Singh 教授擁有超過 20 年的教學與研究經驗,已在多份國際及國內期刊與會議發表超過 100 篇論文。他也主持過多項研究計畫,並指導多位 M.Tech 與博士研究生完成論文。目前的研究興趣包括聚合物、複合材料及破壞力學等領域。他同時也是多個工程學會的會員,並透過審閱研究論文服務研究社群。此外,他曾籌辦超過 10 場國際及國內會議,也曾在大學及邦政府層級擔任行政職務。