Data-Driven Engineering Design (PDF)
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This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design.
Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation.
Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.
Mr. Yuchen Wang is a Ph.D.candidate in Mechanical Engineering. He completed his undergraduate degree in Aerospace Engineering at the University of New South Wales (UNSW). His research lies at the intersections of design methodology, data science, and digital twin. As a head tutor, he had been teaching engineering design to a large cohort of college student at UNSW. He has published more than 10 journal articles, conference papers, and book chapters.
Mr. Xingzhi Wang is a Ph.D. candidate in Mechanical Engineering at the University of New South Wales (UNSW). He obtained his undergraduate degree and master's degree at the Sichuan University and UNSW, respectively. His research focuses on leveraging machine learning to enhance design customization.
- Autoren: Ang Liu , Yuchen Wang , Xingzhi Wang
- 2021, 1st ed. 2022, 197 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030881814
- ISBN-13: 9783030881818
- Erscheinungsdatum: 09.10.2021
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- Grösse: 5.24 MB
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