Geometrical Enhancements Based on Data-Driven Design Decisions
暫譯: 基於數據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: 2025-06-16
  • 售價: $3,910
  • 貴賓價: 9.5$3,715
  • 語言: 英文
  • 頁數: 198
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032655003
  • ISBN-13: 9781032655000
  • 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)

這本書介紹了各種設計和建模解決方案,以有效的決策為基礎,並根據數據分析的基本原則進行探討。它進一步討論了重要主題,如可持續設計和數據驅動的設計綜合、產品分析及其在可持續發展中的角色,以及用於產品特徵幾何評估的描述性模型。

本書:
- 使讀者熟悉可以利用數據驅動設計分析推導幾何特性的多種決策協議
- 提供一種更全面的方法,使用數據驅動的建模和分析來應用於多學科工程
- 討論通過數據驅動的決策制定進行產品設計和開發的多目標優化
- 解釋通過數據可視化和數據挖掘進行的信息處理和分析
- 涵蓋基於人工智慧和機器學習的決策模型及其在跨學科應用中的有效利用

本書主要針對工業工程、製造工程、機械工程和航空航天工程等領域的高年級本科生、研究生和學術研究人員。

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 是一位技術精湛的數據分析師和研究員,擁有印度卡哈拉格普爾印度理工學院 (IIT Kharagpur) 的產品設計與開發博士學位。專注於工程領域的數據驅動建模和機器學習應用,Mandol 博士在應用先進分析技術方面擁有豐富的專業知識,包括統計分析、軟計算和多學科設計優化。他的研究重點是為複雜工程系統開發創新的方法論,特別是在生態設計、可持續性和混合電動車優化等領域。目前擔任助理教授的 Mandol 博士,將其與行業相關的專業知識帶入課堂,教授數據驅動決策、分析和產品設計等課程。他在製造業中實施機器學習算法以進行質量控制和過程優化方面有著良好的記錄,並且開發了工程應用的數位雙胞胎概念。Mandol 博士的研究成果已發表在知名期刊上,並在國際會議上進行報告,展示了他通過數據科學與工程原則的整合推動創新的承諾。

Mohit Hemanth Kumar 是一位成就卓越的學者,目前擔任班加羅爾聯盟大學 (Alliance University) 的助理教授及 AU IPR Cell 副主任。擁有五年的教學和研究經驗,他在提魯奇拉帕利國立技術學院 (National Institute of Technology, Tiruchirappalli) 獲得博士學位,專注於納米填料增強的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和材料科學中的幾個關鍵領域,專注於無機填料增強的混合聚合物複合材料、納米複合材料、廢物轉化為創新產品、工業產品設計與開發以及製造技術。作為教育者,他開發並教授機械工程基礎、產品開發與設計、增材製造、智慧製造和材料技術等課程。Kumar 博士的研究貢獻在其領域中產生了重大影響,獲得超過 1,400 次引用,並達到 19 的 h 指數。他的創新工作導致 24 項專利獲得批准和 21 項工業設計獲得批准,還有 5 項專利在等待批准。他的出版物廣泛,已在知名國際期刊上發表 43 篇文章,撰寫 27 篇書章,並擔任 6 本書的編輯。作為註冊專利代理人 (IN/PA 5341),Kumar 博士積極參與知識產權的開發和保護。他作為多個知名組織的終身會員,保持著強大的專業聯繫,包括印度技術教育學會、印度工程師學會、失效分析學會、國際工程師協會和印度粉末冶金協會。通過他的國際研究合作和課程開發貢獻,Kumar 博士持續推進機械工程和材料科學的學術及實務層面。

Akarsh Verma 目前是印度石油與能源研究大學 (University of Petroleum and Energy Studies, UPES) 的助理教授。他在印度羅爾基印度理工學院 (IIT Roorkee) 獲得機械工程博士學位,並在美國布里格姆楊大學 (Brigham Young University) 進行博士後研究,還曾在日本大阪大學擔任 JSPS 國際研究學者。他通過擔任多個國際期刊的審稿人來服務研究社群,並審查了多篇研究文章。此外,他在高品質的國際同行評審期刊上發表了多篇研究文章,撰寫了多本書籍和書章,並在各種國際/國內會議上發表了多篇研究論文。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、納米複合材料等。他擁有多項國際獎學金/獎項(如日本科學促進會 (JSPS) 博士後獎學金、美國 J. William Fulbright 博士研究獎學金、來自《自然》期刊的早期研究者早期職業培訓獎、英國皇家化學學會 (RSC) 的研究者發展獎、印度 IIT Roorkee 最佳博士論文研究工作的博士研究卓越獎、印度科技部 (DST) 和人力資源發展部 (MHRD) 的博士研究獎學金、印度全國技術教育委員會 (AICTE) 的研究生獎學金、2022 年 ICMR 年輕研究者獎等)。他還被斯坦福大學認定為全球前 2% 最具引用科學家的名單(2023、2022、2021 和 2020 年)。

V. K. Singh 目前是印度潘特納加爾的戈文德·巴拉布·潘特農業與技術大學 (Govind Ballabh Pant University of Agriculture and Technology) 機械工程系的教授。Singh 教授擁有超過 20 年的教學和研究經驗。他在各種國際和國內期刊及會議上發表了超過 100 篇論文。他還負責多個研究項目,並指導了多篇碩士和博士論文。他目前的研究興趣集中在聚合物、複合材料和斷裂力學等領域。他還是多個工程學會的成員,並通過審查研究論文來服務研究社群。他還組織了超過 10 次的國際和國內會議,並在大學和州級擔任過行政職位。