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.
General
| Imprint: |
Woodhead Publishing Ltd
|
| Country of origin: |
United States |
| Series: |
Woodhead Publishing Series in Composites Science and Engineering |
| Release date: |
October 2023 |
| First published: |
2024 |
| Editors: |
Jie Yang
• Da Chen
• Kang Gao
|
| Dimensions: |
229 x 152mm (L x W) |
| Pages: |
480 |
| ISBN-13: |
978-0-443-15425-6 |
| Categories: |
Books
|
| LSN: |
0-443-15425-2 |
| Barcode: |
9780443154256 |
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