Browsing by Author "Tian, Yang"

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    Interplay between wear and thermal expansion in 6082 aluminum: a simulation and experimental study
    (MDPI, 2024-11-23) Tian, Yang; Kalifa, Mohamed; Khan, Muhammad; Yang, Yifan
    This study investigates how wear and thermal expansion interact in 6082 aluminum, utilizing a pin-on-disc tribometer and finite element analysis under diverse mechanical conditions. The findings show that thermal expansion reduces contact area by forming a protrusion at the contact interface. This interaction between wear and thermal expansion causes dynamic shifts in the contact region and pressure distribution, affecting the disc center and altering wear progression and temperature patterns. High thermal expansion shifts maximum wear from the contact center to outer regions, especially at higher speeds and loads. Without thermal expansion, wear-only conditions overestimate friction dissipation, resulting in a higher peak temperature. These results highlight the critical role of thermal expansion in shaping wear patterns and contact behavior in sliding applications. This research offers insights for optimizing tribological performance in 6082 aluminum, with potential applications in other materials.
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    Quantifying the interrelationship between friction, wear, and noise: a comparative study on aluminum, brass, and steel
    (Elsevier, 2025-03) Tian, Yang; Khan, Muhammad; Deng, Haoxuan; Omar, Intisar
    Friction-induced wear and noise affect the performance and lifespan of industrial components, yet models often address them separately. This study proposes a model linking wear volume, coefficient of friction (COF), and noise. Ball-on-disc tribometer tests on 6082 aluminum, UNS C38500 brass, and 304 stainless steel were conducted under various loads and speeds. Key findings reveal thermal expansion affects wear in aluminum but minimally impacts brass and steel. The aluminum-based equation also predicts noise for brass and steel, with errors under 10 % within 5–15 N loads and 0.21–0.63 m/s speeds, suggesting broader applicability. This model provides a simplified approach to linking friction, wear, and noise, offering potential improvements in wear monitoring and noise control for mechanical systems.