What is it about?
The specific wear rate (SWR) and the average coefficient of friction (CoF) were investigated. The tribological test was planned by using Taguchi L27 orthogonal array. The tests were carried using different factors like steel volume % (0–10 %), applied load (80–100 N), and sliding distance (1,000–2,000 m) for a constant time (20 min). The optimal process parameters were obtained with Taguchi-GRA, and the influencing factor was determined with the help of analysis of variance.
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Why is it important?
The results show that the most influencing factor is steel volume %, followed by applied load and sliding distance. The dry sliding wear performance was optimized to achieving minimal SWR and average CoF. Steel volume 10 %, sliding distance 1,000 m, and applied load 80 N were observed as optimum parameters to achieving minimal SWR and average CoF.
Perspectives
This article was a lot of fun to write because it has co-authors with whom I've worked for a long time. This study also sparked the formation of material research organizations, which led to a larger interest in material engineering.
GANESH CHAVHAN
Read the Original
This page is a summary of: Multiresponse Optimization of Wear Parameters of Steel-Embedded Glass-Epoxy Hybrid Composites Using Taguchi-Grey Method Optimization, Materials Performance and Characterization, July 2021, ASTM International,
DOI: 10.1520/mpc20200206.
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