Author : Kashish Bansal Gurpinder Singh, Ashok Kumar, Rajneesh Chaudhary and Gagandeep Chawla

In this study, the chemical-assisted ultrasonic machining (CUSM) method is introduced in order to improve the efficiency of conventional USM method. To obtain the chemical effects, a low concentration hydrofluoric acid solution is added to the abrasive slurry with glass as workpiece. This paper investigates the effect of different input materials namely power rating, type of abrasive slurry, concentration of abrasive slurry, abrasive grit size, tool material on Material removal rate (MRR) and Surface Roughness(Ra) in Chemical assisted Ultrasonic Machining (CUSM) process. The effect of various input parameters on output responses is analyzed using statistical techniques such as ANOVA. Optimization and verification of the process parameters and the modeling of the results is done by applying Regression Analysis. Main effect plots for the significant factors and S/N ratio have been used to determine the optimal design for output response. Through various experiments and comparison with conventional results, the superiority of our novel method is verified.

Keywords: Chemical-assisted ultrasonic machining (CUSM), Material removal rate (MRR), Surface Roughness(Ra).

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.3 (June- 2014)