Optimization of Milling Parameters using Vegetable Oil by Measuring Vibration Signal
P. M. Arunkumar1, T. Mohanraj2, K. Ananthi3, S. J. Abbhimanneu4, R.Aravindh5, T. Arul Praveen6, S. Balaji7, P. K. Dinesh8, P. Leander Joseph9
1P. M. Arunkumar, Assistant Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (TamilNadu), India.
2T. Mohanraj, Assistant Professor, Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore (TamilNadu), India.
3K. Ananthi, Assistant Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (TamilNadu), India.
4S. J. Abbhimanneu, UG Scholar, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (TamilNadu), India.
5R. Aravindh, UG Scholar, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (TamilNadu), India.
6T. Arul Praveen, UG Scholar, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (TamilNadu), India.
7S. Balaji, UG Scholar, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (TamilNadu), India.
8P. K. Dinesh, UG Scholar, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (TamilNadu), India.
9P. Leander Joseph, UG Scholar, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (TamilNadu), India.
Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 19 June 2019 | PP: 706-711 | Volume-8 Issue-8S June 2019 | Retrieval Number: H11210688S19/19©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: This paper describes an on-line tool wear monitoring system for milling operation by optimizing the input parameters while machining 7075T6 aluminium composite material. The input parameters considered are Spindle speed, feed rate and depth of cut. Coolant is the major factor that affects the tool wear to greater extent. So the type of coolant (different types of vegetable oils) is also taken as an input parameter for optimization. The experiments are carried out with different spindle speed, feed rate, depth of cut and coolant and the vibration produced in X, Y & Z directions were measured. Taguchi mixed level design (L18) is taken for optimization process using S/N ratio and ANOVA (Analysis Of Variance) analysis. The results show that the coolant has the most significance while measuring the vibration.
Keywords: Tool Condition Monitoring, Parameter Optimization, ANOVA.
Scope of the Article: Health Monitoring and Life Prediction of Structures