Advanced Composite Materials and Structures: Forming, Characterization and Simulation Enhanced with AI
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Composites".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 61
Special Issue Editors
Interests: composite mechanics; impact engineering; machine learning; multiscale modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Carbon fiber-reinforced composites, known for their lightweight, high strength, and corrosion resistance, are widely used in aerospace, automotive, wind energy, and sports equipment industries. In modern engineering, leveraging simulation, characterization, and modeling techniques to study the performance of carbon fiber composites has become a critical approach for design and optimization. Finite element analysis (FEA) and other numerical simulation methods enable engineers to predict the mechanical behavior of composites under various load conditions. These simulations not only help optimize the material's layer structure but also reduce the number and cost of physical experiments. In material characterization, advanced microscopic imaging techniques and Raman spectroscopy are used to investigate the microstructure and interfacial properties of carbon fiber composites, providing reliable data for model development. Furthermore, in the field of simulation, multiscale modeling techniques allow researchers to analyze materials’ behavior comprehensively, from the microscopic fiber–matrix interface to the macroscopic component level, accurately predicting their performance in real-world applications. The integration of these techniques not only enhances the development efficiency of carbon fiber composites but also drives innovative applications across broader domains. In the future, with the incorporation of artificial intelligence, artificial neural network, and big data technologies, these research methods will become more intelligent, further advancing the performance optimization and industrial application of carbon fiber composites.
Dr. Jun Feng
Dr. Xiaodong Zhao
Guest Editors
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Keywords
- composite materials
- multi-objective optimization
- artificial intelligence
- machine learning
- CFRP laminates
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