American Journal of Advanced Multidisciplinary Research and Innovation
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Volume 8 Issue 5
September-October 2026
Indexing Partners
Interdisciplinary Research on Smart Materials for Advanced Engineering Applications
| Author(s) | Aydin Buluç |
|---|---|
| Country | United States |
| Abstract | Smart materials have emerged as one of the most transformative innovations in modern engineering, enabling the development of adaptive, intelligent, and high-performance systems capable of sensing, responding, and self-adjusting to changes in their surrounding environment. Recent advances in materials science, nanotechnology, Artificial Intelligence (AI), additive manufacturing, biotechnology, robotics, and computational engineering have accelerated the design and application of smart materials across aerospace, civil, mechanical, biomedical, automotive, electronics, energy, and environmental engineering. Smart materials—including shape memory alloys (SMAs), piezoelectric materials, electroactive polymers (EAPs), magnetostrictive materials, self-healing composites, smart concrete, nanomaterials, phase-change materials (PCMs), and graphene-based composites—offer exceptional capabilities such as self-sensing, self-repair, adaptive deformation, vibration control, energy harvesting, thermal regulation, and structural health monitoring. This study investigates interdisciplinary research on smart materials for advanced engineering applications through a multidisciplinary perspective. Using a qualitative and analytical research methodology based on secondary data from materials science, mechanical engineering, civil engineering, nanotechnology, biomedical engineering, electronics, and computational engineering literature, the study examines smart material classifications, enabling technologies, engineering applications, intelligent design frameworks, sustainability benefits, implementation challenges, ethical considerations, and future research directions. Particular emphasis is placed on AI-assisted material design, nanotechnology, additive manufacturing, digital twins, Internet of Things (IoT), structural health monitoring, and sustainable engineering systems. The findings indicate that smart materials significantly improve structural reliability, energy efficiency, operational safety, adaptive performance, predictive maintenance, and lifecycle sustainability across multiple engineering disciplines. However, high production costs, manufacturing complexity, scalability limitations, long-term durability concerns, standardization challenges, and interdisciplinary integration remain major barriers to widespread industrial adoption. The study concludes that combining smart materials with artificial intelligence, digital engineering, advanced manufacturing, and sustainable design principles provides a comprehensive pathway toward next-generation intelligent engineering systems. |
| Keywords | Smart Materials, Advanced Engineering, Shape Memory Alloys, Piezoelectric Materials, Nanotechnology, Artificial Intelligence, Self-Healing Materials, Sustainable Engineering. |
| Field | Engineering |
| Published In | Volume 3, Issue 5, September-October 2021 |
| Published On | 2021-10-24 |
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E-ISSN XXXX-XXXXCrossRef DOI prefix of AJAMRI is 10.00000/AJAMRI
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