Optimization of Sintering Strength Based on Response Surface Methodology

Abstract

In order to improve sintering strength, the response surface method (RSM) was used to optimize the porosity of sinter based on the actual process parameters of sintering production. The basicity, fuel ratio and fuel particle size were chosen as the design parameters. The porosity of sinter and the drum index were adopted as the responses. A quadratic polynomial model was established, and a three-factor optimization design analysis was carried out. The research results showed that basicity and fuel ratio had significant effects on porosity and drum index, and fuel particle size had little effect on them. The interactions between basicity and fuel ratio, fuel ratio and fuel particle size were significant. A binomial model of sinter porosity and drum index was established by analyzing the experimental results. Through the analysis of RSM, the optimum sintering parameters (basicity, fuel ratio, fuel particle size) could be considered to be 2.15, 71.19 and 5.50%. In addition, industrial experiments under the optimal sintering parameters show that the porosity of sinter decreases to 20.07% and the drum index increases to 78.43%. After the optimization, the sintering strength is improved, which helps to reduce the production cost of blast furnace.