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.

Highlights

  • The conventional turning operations are performed using a variety of single-point cutting tools. These tools are not operated at appropriate process parameters, the tool life, and machining quality decreases whereas the cost of the product increases

  • The appropriate process parameters selection helps in reduction of cutting force (Fc) on the single-point cutting tool, many researchers highlighted the importance of cutting forces to enhance the tool life and improve surface finish

  • The vortex tube is a part of the Vortex Tube Jet Assisted (VTJA) cooling system which was designed and developed to provide low-temperature air stream to carry heat generated during machining

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Summary

INTRODUCTION

The conventional turning operations are performed using a variety of single-point cutting tools These tools are not operated at appropriate process parameters, the tool life, and machining quality decreases whereas the cost of the product increases. The thrust research areas in the field of titanium alloy are an improvement in surface finish, machinability, tool wear resistance, reduced force in the cutting tool, thermal analysis. A. Pal et al [14] studied the influence of affecting parameter on Fc, chip tool interface temperature and surface roughness during the hard and soft turning. The above literature review visualizes that researchers have carried out a study on surface finish, Fc and other performance parameters in turning operations by adopting different traditional cooling systems and coolants. The effect of cooling on machinating response parameters such as surface finish and machining force was assessed

MATERIALS AND MACHINE
CUTTING FORCE (FC) MEASUREMENT
STATISTICAL ANALYSIS OF EXPERIMENTAL DATA
RESOPONSE SURFACE METHODOLOGY(RSM)
RESULT
Findings
CONCLUSIONS

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