Advances in Shape Memory Materials - In Commemoration of the Retirement of Professor Hisaaki Tobushi (Hardcover, 1st ed. 2017)

This book is devoted to the development of the shape memory materials and their applications. It covers many aspects of smart materials. It also describes the method on how we can obtain not only large recovery strains but also high recovery stress, energy storage and energy dissipation in applications. This volume treats the mechanical properties of shape memory alloys, shape memory polymers and the constitutive equations of the materials which are necessary to design the shape memory elements in applications. It also deals with the fatigue properties of materials, the method to design the shape memory elements, and the shape memory composites. The authors are international experts on shape memory alloys and shape memory polymers in the metallurgical, chemical, mechanical and engineering fields. The book will be of interest to graduate students, engineers, scientists and designers who are working in the field of electric and mechanical engineering, industries, medical engineering, aerospace engineering, robots, automatic machines, clothes and recycling for research, design and manufacturing.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advanced Structured Materials, 73
Release date:	March 2017
First published:	2017
Editors:	Qing-Ping Sun • Ryosuke Matsui • Kohei Takeda • Elzbieta A Pieczyska
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	241
Edition:	1st ed. 2017
ISBN-13:	978-3-319-53305-6
Categories:	Books > Professional & Technical > Technology: general issues > Technical design > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Energy conversion & storage Books > Professional & Technical > Mechanical engineering & materials > Materials science > Testing of materials > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	3-319-53305-3
Barcode:	9783319533056

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