Optimization of Bio Degradable Nano Cutting Fluid Parameters during Machining of Titanium Alloy
C. Venkatesh1, Mengistu Gelaw2, Soloman Dufera3

1C. Venkatesh*, Department of Mechanical Engineering, School of Mechanical. Chemical and Materials Engineering, Adama Science and Technology University, Adama, Ethiopia.
2Mengistu Gelaw, Department of Mechanical Engineering, School of Mechanical. Chemical and Materials Engineering, Adama Science and Technology University, Adama, Ethiopia.
3Soloman Dufera, Department, Department of Mechanical Engineering, School of Mechanical. Chemical and Materials Engineering, Adama Science and Technology University, Adama, Ethiopia.
Manuscript received on March 16, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 2378-2384 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7210038620/2020©BEIESP | DOI: 10.35940/ijrte.F7210.038620

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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: Varieties of cutting fluids are available in market to facilitate good machining objectives for metal removing Industries. Eventually, majority of the cutting fluids are synthetic and semi synthetic in nature, despite they are helping to the industries but they are harmful to health of the operators and environment. Though they are having good properties needed for machining, nature of non-biodegradability and non-friendliness to the environment are the key barriers associated with these fluids. Various researches have been carried out to prepare a vegetable based bio degradable effective cutting fluid to nullify above said constraints. In this research work, a unique castor oil based cutting fluid infused with nano molybdenum di sulfide (MoS2) particles has been prepared and its performance during machining has been investigated. In this study, much attention has been applied to achieve the optimized parameters of the biodegradable nano cutting fluid. Taguchi’s method equipped with gray relational analysis was utilized by considering the size of the nano particles, nano particle inclusion (npi) and flow rate as the chief fluid parameters. The surface roughness and tool wear were treated as responses. As per L9 orthogonal array, totally nine experiments were conducted. Additionally, the most significant parameter which affects the machining responses was identified with the help of grey grade, ANOVA and MRPI ranking. Confirmation test were carried out followed by prediction of grey grade so as to improve the degree of validation. It has been observed that there was significant improvement in gray grade for the optimal parameters.
Keywords: Molybdenum Disulfide, Sulfanated Castor Oil, Tool Wear, Surface Roughness, Grey Grade.
Scope of the Article: Machine Learning.