Zhang / Jung | Multiscale Modeling of Additively Manufactured Metals | E-Book | sack.de
E-Book

E-Book, Englisch, 250 Seiten

Reihe: Additive Manufacturing Materials and Technologies

Zhang / Jung Multiscale Modeling of Additively Manufactured Metals

Application to Laser Powder Bed Fusion Process
1. Auflage 2020
ISBN: 978-0-12-822559-2
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

Application to Laser Powder Bed Fusion Process

E-Book, Englisch, 250 Seiten

Reihe: Additive Manufacturing Materials and Technologies

ISBN: 978-0-12-822559-2
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark



Multiscale Modeling of Additively Manufactured Metals: Application to Laser Powder Bed Fusion Process provides comprehensive coverage on the latest methodology in additive manufacturing (AM) modeling and simulation. Although there are extensive advances within the AM field, challenges to predictive theoretical and computational approaches still hinder the widespread adoption of AM. The book reviews metal additive materials and processes and discusses multiscale/multiphysics modeling strategies. In addition, coverage of modeling and simulation of AM process in order to understand the process-structure-property relationship is reviewed, along with the modeling of morphology evolution, phase transformation, and defect formation in AM parts. Residual stress, distortion, plasticity/damage in AM parts are also considered, with scales associated with the spatial, temporal and/or material domains reviewed. This book is useful for graduate students, engineers and professionals working on AM materials, equipment, process, development and modeling. - Includes the fundamental principles of additive manufacturing modeling techniques - Presents various modeling tools/software for AM modeling - Discusses various design methods and how to optimize the AM process using these models

Yi Zhang, Ph.D. is an Applications Engineer with Ansys, Inc. He received his Ph.D. degree in Mechanical Engineering from Purdue University in 2018, mentored by Dr. Jing Zhang.

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