Modeling and Optimization of Process Parameters in AFM Using Taguchi and Fuzzy Logic

In metal cutting, completing activities speak to a basic and costly period of the general creation process. The completing costs accounts roughly 15% of the all-out machining costs [1]. Another procedure called "Abrasive Flow Machining (AFM) guarantees to give the exactness, productivity, economy, repeatability and probability of viable computerization expected to the assembling business. In the present work, the impact of various procedure parameters for example number of cycles, size of rough and Pressure on surface completion has been considered. For this reason, grating stream machining set-up is created and manufactured. The vital component of AFM setup is water powered tank, rough barrel, media chamber, pressure driven chamber and work piece installation. These parts are planned in solid works programming. Metal is utilized as a work piece material in the empty barrel shaped shape. Analyses have been performed on metal empty barrel as a working material. Surface unpleasantness is estimated when machining with the assistance of surface harshness analyser marsurf PS1. The critical info parameters for this trial examination is grating size, number of cycles and Pressure though surface harshness (∆Ra) considered as reaction parameters.