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Data-Driven Engineering Design (Paperback, 1st ed. 2022): Ang Liu, Yu-Chen Wang, Xingzhi Wang Data-Driven Engineering Design (Paperback, 1st ed. 2022)
Ang Liu, Yu-Chen Wang, Xingzhi Wang
R1,784 Discovery Miles 17 840 Ships in 10 - 15 working days

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.

Data-Driven Engineering Design (Hardcover, 1st ed. 2022): Ang Liu, Yu-Chen Wang, Xingzhi Wang Data-Driven Engineering Design (Hardcover, 1st ed. 2022)
Ang Liu, Yu-Chen Wang, Xingzhi Wang
R1,651 R1,550 Discovery Miles 15 500 Save R101 (6%) Ships in 9 - 15 working days

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.

Digital Twin Driven Smart Design (Paperback): Fei Tao, Ang Liu, Tianliang Hu, A. Y. C Nee Digital Twin Driven Smart Design (Paperback)
Fei Tao, Ang Liu, Tianliang Hu, A. Y. C Nee
R5,214 Discovery Miles 52 140 Ships in 12 - 17 working days

Digital Twin Driven Smart Design draws on the latest industry practice and research to establish a basis for the implementation of digital twin technology in product design. Coverage of relevant design theory and methodology is followed by detailed discussions of key enabling technologies that are supported by cutting-edge case studies of implementation. This groundbreaking book explores how digital twin technology can bring improvements to different kinds of product design process, including functional, lean and green. Drawing on the work of researchers at the forefront of this technology, this book is the ideal guide for anyone interested in digital manufacturing or computer-aided design.

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