Composition Design and Experimental Study of Erosion Wear Resistant Bimetal Composite Pipe Inner Layer Based on Gray System Theory and Genetic Algorithm

Abstract

A multi-factor gray model of hardness and modulus about the content of Ti, Fe, Ni and Cu metal powder in the inner layer of bimetal composite pipe was established, and the proportion of each component was optimized by genetic algorithm. The inner layer with a certain thickness was prepared by high frequency induction heating and powder spraying technology, its hardness and modulus were tested, and compared with the theoretical calculation value, the erosion wear test was carried out. The results indicate that the prepared inner layer is in an amorphous state, exhibiting high hardness and toughness. The gray model can accurately establish the relationship between the hardness and modulus of the inner layer with the component content, and the average error is not exceeding 2%. The inner layer prepared with the optimized raw material ratio demonstrates high erosion wear resistance at different impact angles and temperatures, the damage type is micro-cutting. Compared with the base pipe, the erosion rate is reduced by at least 27%.