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B01=Mehrshad Mehrpouya
B01=Mohammad Elahinia
Category1=Non-Fiction
Category=TGB
Category=TGM
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Additive Manufacturing of Shape Memory Materials: Techniques, Characterization, Modeling, and Applications

★★★★★
★★★★★

English

Additive Manufacturing of Shape Memory Materials: Techniques, Characterization, Modeling, and Applications outlines an array of techniques and applications for additive manufacturing (AM) and the use of various shape memory materials, covering corrosion properties, material sensitivity to thermal, magnetic, and electrical effects, as well as sensitivity of shape memory properties to AM parameters, including part geometry effects and post-process treatments. Design for AM and a number of different AM methods are discussed, with materials covered including shape memory alloys, shape memory polymers, high-temperature shape memory alloys, and magnetic shape memory alloys. Characterization and modeling methods are also included, as is a chapter dedicated to real-world applications of these production techniques and materials. See more
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Age Group_Uncategorizedautomatic-updateB01=Mehrshad MehrpouyaB01=Mohammad ElahiniaCategory1=Non-FictionCategory=TGBCategory=TGMCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 28 Oct 2024

Product Details
  • Weight: 450g
  • Dimensions: 152 x 229mm
  • Publication Date: 28 Oct 2024
  • Publisher: Elsevier - Health Sciences Division
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780443295942

About

Mehrshad Mehrpouya earned his Ph.D. degree through a fellowship program from Sapienza University of Rome Italy. He is currently an Assistant Professor in the Department of Design Production and Management (DPM) at the University of Twente (UT). His research interests are directed toward Advanced Manufacturing 3D/4D Printing Functional Materials and modeling. Mohammad Elahinia is currently a Professor of Mechanical Industrial and Manufacturing Engineering (MIME) and also serves as Director of the Dynamic and Smart Systems Laboratory at University of Toledo where has been a faculty member since 2004. He graduated from Villanova University with an MS degree and from Virginia Tech with a Ph.D. in Mechanical Engineering respectively in 2001 and 2004. Dr. Elahinias research interests are in smart and active materials. His current research is focused on additive manufacturing of functional materials such as shape memory alloys for aerospace and biomedical application.

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