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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

Active Publication Date: 2011-05-25
CENT SOUTH UNIV
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Problems solved by technology

The current control of the sintering process is mostly closed-loop control with the feedback of the thickness of the material layer. The actual production shows that the change of real-time working conditions has different requirements for the thickness of the material layer, and the change of the speed of the trolley affects the stability of the material layer thickness. The existing control method does not adjust the setting of the thickness of the material layer according to the actual situation of the sintered material, nor does it track and stabilize the thickness of the material layer well, and because the segregation process of the material is difficult to describe, it is also difficult to determine the degree of segregation of the material layer. control

Method used

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  • Sintering distribution process optimized control method based on multi-objective genetic algorithm
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  • Sintering distribution process optimized control method based on multi-objective genetic algorithm

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Embodiment 1

[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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Abstract

The invention discloses a sintering distribution process optimized control method based on a multi-objective genetic algorithm, which is characterized by comprising the following steps: 1, building an optimization model of segregation distribution, namely establishing a sample collection by using a large-flue negative pressure, the rotation speed of a nine-roller distributor, the feed level of a feed tank and the depth of a feed bed and establishing a segregation distribution comprehensive satisfaction function; and 2, with a goal of optimizing segregation distribution comprehensive satisfaction, constructing the optimization model on the basis of the principle of the multi-objective genetic algorithm so as to optimize the set values of the depth of the feed bed and the rotation speed of the nine-roller distributor. In the invention, the set values of the depth of the feed bed and the degree of segregation are optimized according to the actual conditions of sintering distribution, so that the setting of the depth of the feed bed and the degree of segregation always adapts to the change of working conditions, and the advantage of deep-feed bed sintering is fully played.

Description

technical field [0001] The invention belongs to the technical field of sintering production process control, and relates to an optimal control method for sintering material distribution process based on a multi-objective genetic algorithm. technical background [0002] Segregation distribution is an important part of sintering production. It is of great significance to realize the effective use of segregation degree in the distribution process and the stable control of the distribution process to ensure high quality and high yield of sintering and realize energy saving and emission reduction of sintering. The current control of the sintering process is mostly closed-loop control with the feedback of the thickness of the material layer. The actual production shows that the change of real-time working conditions has different requirements for the thickness of the material layer, and the change of the speed of the trolley affects the stability of the material layer thickness. T...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F27B21/14
Inventor 吴敏王春生赖旭芝曹卫华陈鑫许虎
Owner CENT SOUTH UNIV
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