Analysis and validation of erosion process for sea sand as an abrasive material by using Regression model and Neural Network in Abrasive Jet machining process for Alumina

摘要

According to the most studies dealing with micro grooving, cutting, leading to lower material removal Abrasive jet machining is traditional process. Invention was made to create those needs. A number of investigation or researches were carried out by imminent personality but no detailed information and design has provided about cylindrical vibrating chamber or mixing chamber. This change in shape gives better velocity to abrasive particles and non sticking characteristic gives the better effect of erosion of material on work piece and scattering of particle towards objects. The parameter stand off distance, variable pressure, material removal rate used for this experimental study has also moderate. The work carried out with Alumina nozzle. The abrasive powder feed rate is controlled by the amplitude of mixing chamber. The root mean square value is 0.988 in linear regression model. The estimated standard error is 0.00115 which is very less. The performance of sand gives the similar better model result as given by traditional using different parameter. The taper of cut is higher with this mixing particle and better feed rate.