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By: David Sunday ARAOTI.
Independent Researcher/Policy Practitioner/ AI and Governance Specialist Oyo State Nigeria:
The increasing demand for high-performance, lightweight, and environmentally sustainable materials has accelerated the advancement of nanostructured composite systems in modern engineering. This study develops a comprehensive data-driven framework for the multiscale design and optimization of nanostructured composite materials, with emphasis on the interaction between structure–property relationships across nano-, micro-, and macro-scales. By integrating hybridization strategies with intelligent manufacturing techniques—such as machine learning-assisted modeling and additive fabrication—the research addresses critical limitations associated with conventional composite materials. A comparative analytical approach is employed to evaluate major composite classes, including polymer matrix, metal matrix, ceramic matrix, and nanocomposites, focusing on their mechanical performance, thermal stability, and sustainability potential. The findings indicate that the incorporation of nanoscale reinforcements, combined with predictive data-driven optimization, significantly enhances material strength, durability, and lifecycle efficiency. Furthermore, the study explores practical engineering applications across aerospace, biomedical, construction, and renewable energy sectors, highlighting the scalability and real-world relevance of advanced composite systems. The proposed framework bridges the gap between theoretical modeling and industrial implementation, offering a robust pathway for the development of next-generation sustainable materials.
Nanostructured composites; Data-driven design; Multiscale modeling; Sustainable engineering;
Intelligent manufacturing.
Citation:
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