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<p>This study used compo casting techniques to reinforce AA2024 with nano silicon di oxide (n-SiO<sub>2</sub>) reinforcement for synthesization. The impacts of several factors on the tribology of the AA2024/n-SiO<sub>2</sub> composites were studied, including the quantity of reinforcements used, load and sliding speed. Using the pin on disc (POD), three distinct reinforcement weight percentages (0, 3, and 6 wt.%), loads (20, 40, and 60 N) and speeds (175, 215, and 275 rpm) at dry sliding wear tests were conducted in accordance with experimental design. Further utilized Response surface methodology (RSM) to examine how process factors affected the composites tribological behavior. As the reinforcement (A), load (B), and sliding speed (C) increased, the wear rate (WR) also improved, as seen by the surface plot. The friction coefficient (COF) on the other hand, fell as these values were increased. Reducing the time and cost of wear testing, optimal models for COF and WR demonstrated adequate findings.</p>

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Exploring the tribological performance of AA2024 with silicon dioxide metal matrix composites: RSM analysis

  • 期刊论文

  • 发表日期：

    2025年5月31日

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  • R. Meenakshi Reddy,
  • Aman Sharma,
  • V. Mohanavel,
  • Sathish Kannan,
  • Ismail Hossain,
  • S. Suresh Kumar,
  • Manzoore Elahi Mohammad Soudagar,
  • Ahmed Fouly,
  • A. H. Seikh

摘要

This study used compo casting techniques to reinforce AA2024 with nano silicon di oxide (n-SiO2) reinforcement for synthesization. The impacts of several factors on the tribology of the AA2024/n-SiO2 composites were studied, including the quantity of reinforcements used, load and sliding speed. Using the pin on disc (POD), three distinct reinforcement weight percentages (0, 3, and 6 wt.%), loads (20, 40, and 60 N) and speeds (175, 215, and 275 rpm) at dry sliding wear tests were conducted in accordance with experimental design. Further utilized Response surface methodology (RSM) to examine how process factors affected the composites tribological behavior. As the reinforcement (A), load (B), and sliding speed (C) increased, the wear rate (WR) also improved, as seen by the surface plot. The friction coefficient (COF) on the other hand, fell as these values were increased. Reducing the time and cost of wear testing, optimal models for COF and WR demonstrated adequate findings.