Optimization measures for internal structure of Raymond Mill Henan Hongxing

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Internal structure optimization measures of Raymond Mill

raymond mill As a key equipment of milling process, it is widely used in mining, chemical industry, building materials, steel and other fields, and its performance index has a crucial impact on the output of the pulverizing system. Its internal flow field structure directly affects its performance index, and the flow field is mainly affected by its rotor speed, structure size and cutting speed. At present, the main defects of Raymond mill are low separation efficiency, the fineness of separated products can not meet the requirements, the amount of returned powder is large and the fineness of powder can not be effectively adjusted. In response to these problems, we Red Star Raymond mill factory The key structure of the mill is optimized and the working condition of the mill is obtained.

 raymond mill

Through the analysis of the internal flow field of the mill, the general distribution of the internal velocity, especially the analysis of some special velocity fields in the convection field, can improve the structure of the Raymond mill as follows:

(1) The structure size and distribution number of gale blades have great influence on the velocity distribution of the flow field. With the increase of the number of gale blades, the flow and velocity of the circulating flow field increase, and the grading fineness becomes coarser, on the contrary, it decreases. Through many simulations, the gale blades are evenly distributed, and the number of blades is 8-12.

(2) Through numerical simulation, for coarse-grained separation, the traditional design of small rotating blades can be omitted, so as to fully reduce the distance from the classification area, so that the larger particles of materials can be lifted to the classification area, so as to achieve the purpose of coarse-grained materials classification.

(3) The material above the mill is fed from the center to strengthen the dispersion of the spreading plate and the agglomeration of particles, so that the dispersion is more sufficient, the distribution is more uniform and the efficiency is higher.

(4) When grading coarse-grained materials, if the size distribution of fine powder is strictly required, a through screen can be set between the opening above the inner shell and the upper machine cover, so as to prevent the coarse-grained materials from entering the fine powder area.

(5) In order to improve the classification efficiency, a screen can be arranged on the conical surface of the lower inner shell.

(6) The outer ring of return air blade is added to form the upper and lower circulation airflow of secondary air separation. Through many simulation tests, it can be seen that the direction of particles entering the inner cylinder and the air flow rate between the inner and outer cylinders are determined by the return air outlet. If the tuyere is too wide, the fine powder of airflow will increase; if the tuyere is too narrow, the resistance will increase and the air circulation will not be smooth. The direction of return air blades should be consistent and opposite to the rotation direction of the main shaft. Therefore, the number and angle of return air blades should be reasonably selected to facilitate air circulation and fine powder deposition. The number of return air blades is between 30 and 40.

We analyzed the internal flow field of Raymond mill to understand the velocity distribution of internal material and the variation law of annular flow field. Through the analysis of velocity field and pressure field in internal material flow field and the analysis results of particle escape number, we can provide guidance for the optimization design of mill structure. With the increase of the number of wind blades, the flow and velocity of the circulation flow field increase, and the grading fineness becomes coarse, otherwise, the number of wind blades is 8-12. The number and distribution angle of return air blades are determined by structural optimization.

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