Parametric Appraisal for Surface Roughness of Tool Steel While Turning Using Taguchi Method
Vikas Sharma1, Anuj Kumar2, Viyat Varun Upadhyay3
1Vikas Sharma, Department of Mechanical Engineering, GLA University, Mathura (U.P), India.
2Anuj Kumar, Department of Mechanical Engineering, GLA University, Mathura (U.P), India.
3Viyat Varun Upadhyay, Department of Mechanical Engineering, GLA University, Mathura (U.P), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 891-893 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6318048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The primary aim of the work is to help achieve an optimum condition of input parameters of process parameters (cutting speed, feed rate and cutting depth) that yields in minimum surface roughness value while machining on lathe of tool steel grade D3 coated carbide insert using a water based coolant. The Taguchi L9 array was used experimental design and the results are additional variance analysis (ANOVA). Results have shown most dominating factor for roughness was feed rate At last valedictory test were conducted to confirm the values that leads to check the effectiveness of the analysis of roughness.
Keywords: Taguchi, DOE, Anova,L9.
Scope of the Article: Mechanical Design