Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures

Language: English

Published by Elsevier - Health Sciences Division, US, 2023

0443154252 / 9780443154256

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Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures presents a state-of-the-art review of the latest advances and cutting-edge technologies in this important research field. Sections provide an introduction to functionally graded porous structures and detail the effects of graded porosities on bending, buckling, and vibration behaviors within the framework of Timoshenko beam theory and first-order shear deformable plate theory. Other sections cover the usage of machine learning techniques for smart structural analysis of porous components as an evolution from traditional engineering and methods and focus on additive manufacturing of structures with graded porosities for end-user applications. The book follows a clear path from design and analysis to fabrication and applications. Readers will find extensive knowledge and examples of functionally graded porous structures that are suitable for innovative research and market needs, with applications relevant to a diverse range of industrial fields, including mechanical, structural, aerospace, energy, and biomedical engineering.

Seller Inventory # LU-9780443154256

Title
Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures
Author
Jie Yang
Publisher
Elsevier - Health Sciences Division, US
Publication year
2023
Condition
New
Binding
Paperback
Language
English
ISBN 10
0443154252
ISBN 13
9780443154256
Item weight
1,000 grams

Rarewaves.com UK

London, United Kingdom

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