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The effect of numerous process variables has been explored for surface roughness and material removal rate during the magnetic abrasive finishing process. A hybrid approach was used in which the Taguchi technique is used in conjunction with grey relational analysis to reach the optimum combination of input variables. The L16 orthogonal array design was used to get a different combination of parameters. It was found that spindle speed of 200 rpm, the quantity of magnetic abrasives of 5 mg, mesh number of 270, and machining time 60 min caused minimum surface roughness of 0.066 µm during magnetic abrasive finishing of the brass plate. The percentage contribution of input parameters has been reported. Subsequently, the optimum results were obtained using multi-objective optimization techniques of grey relational analysis, and results were also validated using experimentation.

Primary prostate sarcoma is a rare malignancy of the prostate with poor prognosis. It accounts for

Magnetic abrasive machining is a surface finishing process in which a magnetic field is utilized to force abrasive particles against the work piece surface to remove the material as microchips. The aim of the present examination work is to investigate the effect of boron carbide abrasives on surface finishing and material removal rate of flat brass plate using magnetic abrasive finishing process. Four input parameters are taken in this research work which is rotational speed, quantity of magnetic abrasives, mesh number and machining time. Full factorial experimental design technique was used to investigate the effect of the input factors on the surface roughness and material removal rate. The analysis of variance (ANOVA) was investigated using statistical software to find optimal conditions for better surface roughness and material removal rate. Regression models have been developed by using MINITAB-17 statistical software for both surface roughness and material removal rate. Experimental results showed that rotational speed is the most important parameters on change in surface roughness and machining time for change in MRR. Minimum surface roughness (Ra) achieved 0.061μm and maximum material removal rate (MRR) 3mg/min.

The comparison of throughput for TEAR (TCP emulation at receivers) and TFRC TCP friendly rate control in MANETs is done with varying Active queue Management Techniques. The analysis reveals that for bandwidth constraint links, TEAR and TFRC perform far better than normal traffic propagation through TCP. In case of TEAR, the processing and route congestion algorithm load is shared by the receiver resulting in lesser load at the transmitters. In TFRC the TCP traffic is propagated via an algorithm to curb acknowledgement congestions. The effect of these two techniques is monitored on Droptail and RED, two of the most common Active Queue Management Techniques.