Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures 1st Edition
Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures — 1st Edition by Jie Yang, Da Chen, and Kang Gao
Discover a definitive resource that bridges advanced machine learning with practical additive manufacturing for next-generation composite design. This authoritative 1st edition delivers a lucid, application-driven exploration of analysis, topology optimization, and fabrication of functionally graded porous composite structures — essential reading for engineers, researchers, and graduate students in materials science, mechanical engineering, and manufacturing technology.
Begin with a compelling overview of data-driven modeling techniques and progress through supervised and unsupervised learning strategies tailored to predict mechanical performance of porous composites. The book demystifies complex topics such as gradient material distribution, multiscale modeling, and process-structure-property relationships, while presenting robust algorithms for design optimization and uncertainty quantification.
Gain practical insights into integrating machine learning workflows with additive manufacturing (3D printing) processes to produce lightweight, high-performance components. Case studies span aerospace, biomedical implants, automotive crash-energy absorbers, and civil engineering applications, making the content globally relevant to professionals across North America, Europe, and Asia.
Why this book matters: it empowers you to shorten design cycles, improve material efficiency, and unlock novel microarchitectures using functionally graded porosity. Clear diagrams, stepwise methodologies, and reproducible examples help translate theory into manufacturable parts.
For engineers, academic researchers, and industrial designers aiming to lead in the era of smart manufacturing, this volume is a practical, forward-looking guide. Enhance your expertise in machine learning–enabled materials design and additive manufacturing—order your copy today and start building the next generation of functional composites.
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.


