Optimization of gas carburizing treatment parameters of low carbon steel using Taguchi and grey relational analysis (TA‑GRA)

dc.contributor.authorSofiane Touati Laala Ghelani Amina Zemmouri Haithem Boumediri
dc.date.accessioned2024-02-16T14:40:38Z
dc.date.available2024-02-16T14:40:38Z
dc.date.issued2022-05-06
dc.description.abstractThis work aims to optimize the micro-hardness (H), thickness of the hardened layer (THL), carbon contents (%C) and surface roughness (Ra) of XC10 steel using a gas carburizing thermochemical treatment. The combination of Taguchi and grey rela tional analysis (TA-GRA) was applied with 9 experiments on the basis of L9 orthogonal design using the following factors: carbon fow rate (0.9%, 1% and 1.2%), temperature (900°, 920° and 940°) and holding time (4 h, 5 h and 6 h). A statistical analysis of the results was carried out on the basis of the S/N ratio and an ANOVA to identify the most signifcant parameters afecting the experimental responses. A desirability function approach was established to fnd the optimal factors to maxi mize H, THL and %C and minimize Ra. The gas carburizing treatment has shown a strong increase in the micro-hardness with about 140%, the thickness of the hardened layer with more than 1400 μm, carbon content 775% and good decrease in the surface roughness (Ra) with 140%.
dc.identifier.issn1433-3015
dc.identifier.urihttp://dspace.univ-khenchela.dz:4000/handle/123456789/1296
dc.language.isoen
dc.publisherThe International Journal of Advanced Manufacturing Technology (2022) 120:7937–7949
dc.titleOptimization of gas carburizing treatment parameters of low carbon steel using Taguchi and grey relational analysis (TA‑GRA)
dc.typeArticle
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