Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures
Language: English
Published by Elsevier Inc Okt 2023, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - 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 # 9780443154256
- Title
- Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures
- Author
- Da Chen
- Publisher
- Elsevier Inc Okt 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0443154252
- ISBN 13
- 9780443154256
- Item weight
- 638 grams
- Dimensions
- 229x152x25 mm
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.
- Provides a comprehensive picture of novel porous materials and advanced lightweight structural technologies that are applicable to a diverse range of industrial sectors
- Updated with the most recent advances in the field of porous structures
- Goes beyond traditional structural aspects and covers novel evaluation strategies, machine learning aided analysis, and additive manufacturing
- Covers weight management strategies for structural components to achieve multifunctional purposes
- Addresses key issues in the design of lightweight structures, offering significant environmental benefits
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Da Chen is currently an ARC (Australian Research Council) DECRA (Discovery Early Career Researcher Award) fellow at Department of Infrastructure Engineering, the University of Melbourne, Australia. He is also an Honorary Research Fellow at School of Civil Engineering, the University of Queensland, where he obtained his PhD degree in June 2018. He worked as a research fellow at MFM and ISMD, Technical University of Darmstadt, Germany. He will shortly join School of Civil and Environmental Engineering, UNSW (University of New South Wales) Sydney, as a lecturer. Dr. Chen has an interdisciplinary research background across structural, material, and mechanical engineering with a focus on the advanced composite structural forms for various end-user applications, such as novel lightweight non-uniform foam components, graphene reinforced nanocomposites, vibration absorbers, concrete columns, and offshore fish cages. His study promotes the development of functionally graded porous structures and has been widely acknowledged. His research achievements include 6 Highly Cited Papers (top performing 1%), 2330 Web of Science citations, and 7.72 for Field-Weighted Citation Impact (2017-2021, SciVal), as of January 2023.
A/Prof. Kang Gao is currently working as an Associate Professor in School of Civil Engineering, Southeast University, China. Before this, he got the Ph.D. degree in UNSW, Sydney and worked as a research associate in RMIT University and Cardiff University. He has developed an excellent emerging publication track record publishing over 30 papers in internationally leading journals, 5 patents and conference proceedings. A/Prof. Gao’s research expertise is focused on the static, dynamic characteristics of advanced materials (functionally graded, graphene platelets reinforced materials), the design, optimization, and application of advanced structures (porous, graded porous and lattice structures) in engineering practices. He received youth project from the Natural Science Foundation, Fundamental Research Funds for the Central Universities, Scientific Research Foundation for the Returned Overseas Chinese Scholars, and participated in 4 ARC Discovery projects and one ESPRC project. He is the assistant editor and early career board member of prestigious international journal “Engineering Structures, the guest editor of Thin-walled Structures. He worked as the invited reviewers for many international journals.
"About the title" may belong to another edition of this title.
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