Sintering distribution process optimized control method based on multi-objective genetic algorithm
A multi-objective genetic and process optimization technology, applied in the field of optimal control of sintering material distribution process based on multi-objective genetic algorithm, can solve the problems of affecting the thickness of the material layer, not adjusting the thickness of the material layer, and the degree of segregation of the material layer is difficult to control, so as to improve the output, saving sintering energy consumption, and improving quality
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[0052] refer to figure 1 , the optimal control method of sintering cloth process based on multi-objective genetic algorithm includes the following steps:
[0053] Step 1: Establish a segregation cloth optimization model.
[0054] The sintered segregation fabric requires uniform particle size and chemical composition along the width direction of the trolley, reasonable segregation along the height direction of the trolley, gradually thicker grain size, and gradually reduced carbon content. Aiming at the requirements of the segregation degree in the fabric fabric process, a proposal is made. The concept of comprehensive satisfaction of segregated fabrics is a comprehensive evaluation of the entire process of segregated fabrics. The present invention selects the control parameters of the segregation distribution optimization model as the negative pressure of the large flue, the speed of the nine-roller distributor, the material level of the trough, and the thickness of the mater...
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