Optimization of Injection Process Parameters Based on Grey Theory

Abstract

Abstract. In this paper injection process for industry production is just a grey system which have problems of complex representation and discrete data. Orthogonal experiments have been designed to obtain the value of shrinkage and warp. The lower value of the two objects is better. After data obtained in experiments are dealt with by grey theory, relational degree had been calculated. With variance analysis the optimal level of the factors influencing the value of the two objects have been find out, then a optimal group of the process parameters has been obtained. Through simulation in computer, the warp is less than 0.5 mm, the shrinkage is less than 0.5%. The requirements of the product have been satisfied. In this method the factors had been considered before mould is tested comprehensively. Time and cost of product development have been decreased greatly. It is believed that the method is valuable in actual product.