The Effects of Cylindrical Grinding Factors in the Production of Grinding Spindle u sin g Hardened EN 353 Steel
Manikandan.M1, Prabagaran.S2, Sivaram.N.M3, Milon Selvam Dennison4
1Manikandan.M, Research Scholar, Mechanical Engineering, Karpagam Academy of Higher Education, India.
2Prabagaran.S, Professor, Mechanical Engineering, Karpagam Academy of Higher Education, India.
3Sivaram.N.M, Mechanical Engineering, National Institute of Technology Puducherry, Karaikal, India.
4Milon Selvam Dennison, Mechanical Engineering, Kampala International University, Kampala, Uganda.

Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10640-10649 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4255118419/2019©BEIESP | DOI: 10.35940/ijrte.D4255.118419

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Abstract: The objective of this study is to produce the best possible grinding spindle using hardened EN 353 steel through the cylindrical grinding process. Primarily the EN 353 steel specimens are cut according to the product specification and subjected to rough machining. Then the steel specimens are subjected to a heat-treatment process to enhance the mechanical property hardness so that the specimen becomes wear-resistant. The experimental runs are planned based on Taguchi’s L27(37) array and conducted in a cylindrical grinding machine (Toyoda G32 cylindrical grinding machine). The surface roughness of the machined specimens is measured using a calibrated surface roughness tester. A prediction model is created through regression analysis for the outcome. The significance of the selected grinding factors and their levels on surface roughness is found by analysis of variance (ANOVA) and F-test and finally, a affirmation test is conducted to confirm the optimum factors.
Keywords: Grinding Spindle; Cylindrical Grinding; EN 353; Taguchi; Regression Analysis, ANOVA.
Scope of the Article: Regression and Prediction.