A Study of Surface Roughness in Drilling of EN-9 Steel using Taguchi Approach
Ajinkya B. Kashmire1, H. V. Shete2, N. D. Jadhav3

1Ajinkya B. Kashmire, M. E. Scholar, Department of Mechanical Engineering, Ashokrao Mane Group of Institutions, Vathar (Maharashtra), India.
2H. V. Shete, Associate Professor, Department of Mechanical Engineering, Ashokrao Mane Group of Institutions, Vathar (Maharashtra), India.
3N. D. Jadhav, Assistant Professor, Department of Mechanical Engineering Ashokrao Mane Group of Institutions, Vathar (Maharashtra), India.

Manuscript received on 10 August 2017 | Revised Manuscript received on 18 August 2017 | Manuscript Published on 30 August 2017 | PP: 38-42 | Volume-6 Issue-6, August 2017 | Retrieval Number: F5114086617/17©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: Drilling is one of the most common and fundamental machining processes. In machining, Carbide twist drills with diameter of 10 mm are used. Most of automotive components are manufactured using a conventional machining process, such as turning, drilling, milling, shaping and planning, etc.. These focus on producing high quality products in time at minimum cost. The surface roughness is considered to be a measure of the quality of a product. The aim of the present work is to optimize cutting conditions (Cutting speed, feed and cutting fluid pressure) parameters for minimum Surface Roughness in drilling of EN-9 using Taguchi Approach. Experiments were conducted based on the design of experiments (DOE) and followed by optimization of the results using Analysis of Variance (ANOVA) to find the minimum surface roughness.
Keywords: Surface Roughness, Analysis of Variance (ANOVA), Design of Experiments (DOE), Taguchi.

Scope of the Article: Structural Reliability Analysis