Loading

Impact of Point Angle on Drill Product Quality and Other Responses When Drilling EN- 8: A Case Study of Ranking Algorithm
S.P. Sundar Singh Sivam1, Ganesh Babu Loganathan2, K. Saravanan3

1S.P. Sundar Singh Sivam, Assistant Professor, Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
2Ganesh Babu Loganathan, Assistant Professor & Head, Department Mechatronics Engineering, Tishk International University, Erbil Kurdistan Region, Iraq.
3K.Saravanan, Assistant Professor, Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 280-282 | Volume-8 Issue-4, February 2019 | Retrieval Number: D2742028419/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: In the present work Drilling parameters has been advanced for EN-8 combination steel utilizing GRA (Grey Relational Examination). The parameters advanced are axle speed (SS – 3000, 3500 and 4000 rpm), feed rate (FR – 0.18, 0.20 and 0.22 mm/rev) and cemented Carbide twist drill of 14.5 mm width with Three flutes point angle (PA – 118,127 and 1350) And Lubrications Used Dry, Wet and Air on bases of surface harshness, Hole distance across, Thrust Force and Burr Size precision reactions. It is performed with the assistance of established carbide contort drills. On the bases of GRA alongside recognizable proof, huge commitment of parameters has been completed by utilizing ANOVA. Out of three factors considered point edge has huge impact on reactions as contrast with other parameters.
Keyword: Drilling, Lubrications, Ranking Algorithm.
Scope of the Article: Production Engineering