Statistical approach to analyze wear parameters and worn surface morphology of aluminum – silicon carbide (13%) – graphite composites with and without cryogenic treatment
K N Arun Kumar, G B Krishnappa, C S Thamme Gowda, H K Sachidananda · 2026
Read Statistical approach to analyze wear parameters and worn surface morphology of aluminum – silicon carbide (13%) – graphite composites with and without cryogenic treatment by K N Arun Kumar, G B Krishnappa, C S Thamme Gowda, H K Sachidananda (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13518874.txt.
Description
K N Arun Kumar and three colleagues analyze wear in aluminum hybrid composites in 2026 using the Taguchi statistical method. Their material mixes AL6061 alloy with 13 percent silicon carbide plus graphite at 1, 2, or 3 percent, cast by a bottom-pouring stir process. Engineers want such light, stiff composites to resist sliding wear.
Specimens with and without cryogenic treatment, deep cooling that refines the internal structure, were compared through analysis of variance and regression models. Cold treatment reduced wear scar depth and friction under the tested settings. Among all combinations, the mix with 2 percent graphite performed best. Kumar and co-authors show how statistical design can pinpoint a winning recipe without testing every possibility.
Catalog record
| CREATOR | K N Arun Kumar, G B Krishnappa, C S Thamme Gowda, H K Sachidananda |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 75377 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |