Optimization of Input Cutting Parameters on Cutting Force During Vortex Tube Jet Assisted Machining of Ti-6Al-4V. 
Balaji. Nelge1, Vinayak. Kale2
1Balaji. Nelge*, Department of Mechanical Engineering, Rajarshri shahu college of Engineering Tathawade, Pune, India.
2Vinayak. Kale, Department of Mechanical Engineering, Indira College of Engineering & Management, Pune, India.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 9-13 | Volume-9 Issue-4, April 2020. | Retrieval Number: C6240029320/2020©BEIESP | DOI: 10.35940/ijeat.C6240.049420
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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: Titanium alloy materials machining is difficult, expensive and leads to wear and tear of the tool. The improvement in the tool life and use of optimal process parameters during machining is necessary to obtain better work piece surface finish. Here main aims to evaluate the effect of input process parameters on cutting force in Vortex Tube Jet Assisted CNC Machining of Titanium Alloy material. Taguchi L27 orthogonal array design matrix were used for experimentations by employing a Vortex Tube Jet Assisted cooling system. The significantly affecting process parameters are identified through ANOVA, and optimal parameters were identified using Taguchi and RSM. A mathematical model is proposed to estimate cutting forces based on selected input process parameters. The result reveals that the most influencing parameter is depth of cut (d). Whereas cutting speed and feed are influences very less. The cutting force (Fc) estimated from the proposed model is in close agreement with experimental results.
Keywords: Anova, Cutting force, Taguchi, VTJA