automotive applications
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A Review on Effect of Cryogenic Treatment on Wear Resistant Bearing Materials for Automotive Application
Abstract: Cryogenic processing has come as a successful supplementary process to common heat treatment, especially in improving the wear-resistant performance of materials employed in in-vehicle applications. This sub-zero processing is normally performed following quenching and before tempering, during which materials are subjected to extremely low temperatures, typically around -196°C, for prolonged periods of 24 hours. Cryogenic treatment, which involves subjecting materials to extremely low temperatures, has demonstrated promising results in changing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1–11 Read article
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A Review on Properties of Natural Fiber Reinforced Composite Materials for Automotive Application
Abstract: The use of composite polymer matrix materials is growing rapidly in automotive, marine and aerospace applications due to their light weight and recyclable properties. In the automotive industry, the use of polymer matrix for interior panels, trims, exterior panels and fender assemblies is rapidly increasing in the 21st century. It also stimulates the use of polymer compounds reinforced by natural fibers. Natural fiber polymer composites are a growing industry due …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 915–922 Read article
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A Review of Glass Fiber Reinforced Composite Materials - Advancements and Challenges
Abstract: The use of glass fiber reinforcement has transformed modern engineering by providing an exceptional balance of strength, lightweight characteristics, and adaptability. This comprehensive review synthesizes findings from over 150 scholarly articles to provide an in-depth analysis of glass fiber reinforcement across multiple sectors. The exploration covers its historical development, manufacturing processes, and diverse applications in aerospace, automotive, construction, marine, and renewable energy industries. Glass fiber’s exceptional strength-to-weight ratio, corrosion resistance, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 635–656 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article