Simulation Research On Processing Process Of Shearer Drive Gear Based On Witness

With the rapid development of the national economy,China has built many high-yield and efficient coal mines in recent years,which makes mining companies put forward higher requirements for the reliability of shearer equipment,especially the timely supply of vulnerable spare parts that requirements are getting higher and higher.However,the driving gear is the most important wearing part of the shearer.In the production process of the shearer enterprises,the problems of low processing efficiency and untimely delivery have not been resolved for a long time.Therefore,this paper attempts to analyze the production process of the driving gear based on simulation software,so as to guide the optimization of the production and processing process and improve the processing efficiency.This article takes Xi'an Coal Mining Machinery Company's driving gear machining process as the research object.In view of the current manufacturing problems of driving gears,compares with traditional empirical solutions and methods,and proposes solutions for applying system simulation.After field investigation,it was found that the production and processing system of the drive gear is a typical discrete event dynamic system.In this paper,Witness software for dynamic simulation of discrete events is used to study the production and processing technology of shearer driving gears,and a simulation model of gear processing based on Witness is established.Through the analysis and research on the comprehensive performance of the entire processing process,a digital model that conforms to the actual production of the enterprise is established,and the manufacturing process is optimized to solve the bottleneck problem of low production efficiency and untimely supply of drive gears.By optimizing the quantity and time factors in the model,a reasonable optimization plan is proposed.The data of the original production line model is compared with the data of the optimized model,the equipment utilization rate and output are the main research objects,and the final optimization plan is obtained through multiple independent operations.Before optimization,the monthly processing capacity is 43 pieces,and the optimized monthly processing capacity reaches 55-60 pieces,and the processing efficiency is increased by about 35%.The results show that the optimization scheme can provide effective decision support for the actual production management,process optimization and system analysis of the enterprise.