JKSimMet Software-Based Process Synthesis Optimization Of Crushing And Grinding

With the mineral resources of the word gradually decreasing, the optimization research on the crushing and grinding process which possesses the largest percent of energy consumption in the mineral process has become the main way to save energy consumption and improve economic benefit. Many researchers have developed the optimization from equipment research, power theory and process parameter configuration. Through the optimization method of crushing and grinding process, the work efficiency is improved to a certain extent, but there is still much room for improvement. Therefore, this paper applies the process synthesis optimization into the crushing and grinding, simultaneously optimizes the selection and configuration parameters of equipment for achieving the maximum economic efficiency of crushing and grinding process.This paper analyzes the process of crushing and grinding and gives the determination principle of that process firstly, then analyzes the working principle of crushing and grinding equipment, and specifies the decision variable and restriction conditions of crushing and grinding optimization process, next establishes the superstructure of process synthesis optimization model about crushing and grinding based on above determination principle, finally establish a mixed integer nonlinear programming (MINLP) model of crushing and grinding process based on the superstructure and decision variables. JKSimMet Software which is the best simulation software for the crushing and grinding includes more accurate mathematical model of various crushing and grinding equipment, and can accomplish high precision simulation of crushing and grinding. In the MINLP model, the mathematical modeling of the crushing and grinding process is described by the JKSimMet.The MINLP model of crushing and grinding process can be regarded as an integration of an inner non-linear programming (NLP) model and an outer portfolio optimization model. Therefore, the paper proposes a two layers nested method on that basis. The algorithm firstly optimizes the portfolio problem of MINLP model though tabu search algorithm, then optimize the NLP problem of MINLP model though genetic algorithm.Finally, the paper compares the optimization results of MINLP model with the actual production economic benefit, the results verify the effectiveness of the method and the engineering practice experience named "more breaking and less grinding".