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Advances in Materials Research Volume 7, Number 2, June 2018 , pages 137-148 DOI: https://doi.org/10.12989/amr.2018.7.2.137 |
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Statistical characterisation of end milling of AISI 52100 annealed bearing steel |
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Mohieddine Benghersallah, Slimane Benchiheub and Abdelaziz Amirat
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| Abstract | ||
| The present paper is a contribution in characterising end milling process of AISI 52100 ball bearing steel through statistical analyses of variance (ANOVA). The latter has been performed to identify the effect of the cutting parameters on the machined surface roughness and the cutting tool life. Wear measurements have been carried on multilayer coated carbide inserts and the respective surface roughness has been recorded. Taguchi\'s technique has been adapted to conduct the design experiments in terms of orthogonal arrays according to the cutting parameters (cutting speed, feed rate and depth of cut), the type of coating (TiN, TiCN, TiAlN) and lubricating condition. Regression analyses have conducted to the development of simplified empirical models that can be effectively used to predict surface roughness and tool wear in the present milling process. | ||
| Key Words | ||
| statistical analysis (RSM); bearing steel; coating tips, tool life; surface roughness; end milling | ||
| Address | ||
| Laboratory in Advanced Technology in Mechanical Production (LRTAPM) Badji Mokhtar Annaba University, BP12 23000, Annaba, Algeria | ||
