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2 articles for “dual-scale reinforcement”
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Investigating The Synergistic Effects of Micro and Nano Particle Reinforcements in Powder Metallurgy-Processed Aluminum Metal Matrix Composites for Enhanced Mechanical Performance
Abstract: The ever-growing demands of modern mechanical applications necessitate the development of materials with superior mechanical properties. In this research, we delve into the creation and evaluation of Aluminum Metal Matrix Composites (Al MMCs) made via the powder metallurgy route, reinforced with both micro and Nano-scale particles. The key aim is to investigate the possible cooperative effects of this dual reinforcement approach on the mechanical behavior of the composite. Traditional aluminum …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 220–229 Read article
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Reinforcement Learning for Adaptive Sensing with Shape Memory Polymer-Based IoT Nodes
Abstract: The rapid expansion of intelligent sensing in the Internet of Things (IoT) has revealed the pressing need for materials and algorithms capable of self-adaptation in volatile environments. Conventional polymer-based sensors and static control strategies often fail to capture nonlinear thermo-mechanical dynamics, leaving them unsuitable for unpredictable operating conditions. Although prior studies have improved polymer composites or introduced algorithmic optimization independently, few attempts have coupled the adaptability of smart materials with …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 370–391 Read article