Prediction of Particle size and Material Removal Rate of zinc oxide (Zno) during Electrochemical machining process

Abstract

Today zinc oxide play an  important applications in industrial  such as catalysts, rubber and concrete additives  , medical , electrical ,  this paper was focused on machining zinc material  by  Electrochemical machining (ECM) which is  based on  the principle of Faraday’s law .ECM is the controlled removal of metal  by anodic dissolution in an electrolytic cell in which the workpiece is anode and tool is cathode to remove  the material  from the workpiece (pure zinc) by using brass tool. This research deals that to investigate the effect of parameters (Current density, Gap distance, Electrolyte concentration) on Metal Removal Rate (MRR) and particle size of (Zinc oxide) sludge waste that precipitate from ECM. Response surface methodology (RSM) was used to predict the results. The results show that  the predication accuracy of particle size is (99.54%) ,where the prediction accuracy for material removal rate is found to be (99.92%).