Information Management System Of Precision Copper Tube Processing Quality

In the domestic copper processing industry,the multi pass disc drawing of the floating core head is one of the commonly used processing links,which has the characteristics of fast drawing speed and high dimensional accuracy.Through the drawing algorithm calculation procedure,the size of each pass of the floating core and the external mold can be obtained.With this method,a variety of specifications of copper tubes can be produced.The drawing link directly determines the quality of the finished tube,so it is particularly important to prepare a reasonable mold.This paper mainly studies the drawing algorithm and the quality information management after drawing based on the design of the mold matching system.At present,the mold matching operation of enterprises relies too much on human experience,and human factors have too much influence.The related mold matching information is still recorded using Excel tables,which leads to tedious queries,data security is not guaranteed,and the use of molds cannot be accurately tracked.On the other hand,Enterprises are committed to the transformation from automation to intelligence,so the design of intelligent mold matching system is particularly important.In this paper,the copper tube drawing process and drawing principle are introduced.The theory is combined with the actual production situation,that is,how to optimize the algorithm so that the algorithm model can be used in the production line.The optimized double recursive method and on-site experience method are proposed,which solve the tedious operation process and improve the efficiency of die matching.In order to optimize the drawing algorithm and make it more consistent with the work hardening curve,the mechanical property analysis test of Vickers hardness and drawing strength was conducted to analyze the relationship between strength and hardness.The strength corresponding to the drawing pass that cannot be obtained from the tensile test was deduced through the formula,and then the curve equation of tensile strength and cross-sectional area change was made to prov IDe a basis for obtaining the tensile strength of the finished product pass in the future with new specifications,After the initial tensile strength and the tensile strength of the finished product pass are known,the drawing procedure can be calculated by using the metal hardening degree method.Then,the paper analyzes the quality information of the copper pipe that has been processed by the system,and uses SPC histogram,x control chart and range control chart to map the wall thickness of the finished product pass and the outer diameter of the pipe to analyze the quality level.Based on the above drawing algorithm module and quality information management module,in order to promote the development of intelligent mold library,mold management and mold tracking modules are added.Finally,Spring Boot+SpringMVC+Hibernate is used to cooperate with the front-end Vue+Element UI design system framework,the intelligent mold matching system is designed and successfully implemented in the production site..