Optimization of Tool life and MRR on CNC Drilling Machine for E350 HT Steel: A Minimum Quantity of Lubricant (MQL)

Shefalika Tiwari, Amber Batwara

Abstract: Drilling is the fundamental operation of making a cylindrical hole in metal cutting industry. This dissertation report focuses on a productivity as well as sustainability project taken up in a “KEC International ltd, Jaipur”. KEC International Limited is manufacturer of electric power transmission towers. The objective of present work is to optimize process parameter to be specific cutting speed, Feed and Hole diameter of E350 HT Steel. Experimentation was completed according to Taguchi trial. The L9 orthogonal array be utilize to study the control of different combinations of process parameter on the drilling quality. Two responses are found first one is material removal rate (MRR) and second is tool life. Minimum quantity lubrication (MQL) technique is use in this work. MQL fluid application method (for mineral and vegetable oils) is compared with Dry condition in this research. Analysis of variance (ANOVA) and single to noise ratio is to use to determine the importance of every process parameter on drilling.

Keywords: ANOVA, DOE, MQL, Tool Life.

Title: Optimization of Tool life and MRR on CNC Drilling Machine for E350 HT Steel: A Minimum Quantity of Lubricant (MQL)

Author: Shefalika Tiwari, Amber Batwara

International Journal of Mechanical and Industrial Technology      

ISSN 2348-7593 (Online)

Research Publish Journals

Vol. 7, Issue 2, October 2019 – March 2020

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Optimization of Tool life and MRR on CNC Drilling Machine for E350 HT Steel: A Minimum Quantity of Lubricant (MQL) by Shefalika Tiwari, Amber Batwara