Effect of Process Parameters on Surface Roughness of Cylindrical Grinding Process on Ohns (Aisi 0-1) Steel Rounds using ANOVA
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2016 by IJETT Journal | ||
| Volume-33 Number-9 |
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| Year of Publication : 2016 | ||
| Authors : M.Melwin Jagadeesh Sridhar, P.Sathish Kumar |
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| DOI : 10.14445/22315381/IJETT-V33P285 |
Citation
M.Melwin Jagadeesh Sridhar, P.Sathish Kumar"Effect of Process Parameters on Surface Roughness of Cylindrical Grinding Process on Ohns (Aisi 0-1) Steel Rounds using ANOVA", International Journal of Engineering Trends and Technology (IJETT), V33(9),429-434 March 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Surface finish is the most important output responses in the production with respect to quantity and quality respectively cylindrical grinding is the important metal cutting process used widely in the finishing operations. OHNS steel is the most preferable material for manufacturing of fasteners, automotive components, die blocks and cutting tools. Surface quality is the important performance factor which to be considered in grinding process. The experimental work and statistical analysis in Research activities help in improving quality standards of manufactured components. In this work, the Surface quality of OHNS steel after cylindrical grinding process is proposed to be studied using L9 orthogonal array having three levels and three input parameters. Work speed, depth of cut and number of pass are considered as the input parameters for this study and the response parameters are minimum surface roughness and minimum tool wear. Lower surface roughness is the main objectives of every machining process. After conducting experiment, S / N ratio is used for optimization and ANOVA is used for analysis. It is predicted that work speed is a dominating parameter for lower surface roughness of cylindrical grinding.
References
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Keywords
Cylindrical Grinding, OHNS, Surface Roughness, S/N ratio, optimization, ANOVA.