On-line Detection And Automatic Grinding Repair System For Surface Defects Of Copper Electrolytic Cathode Seed Plate

In the process of producing cathode copper by copper electrolysis process,under the action of impurities and electrochemical reaction in the electrolyte for a long time,the surface of cathode seed plate will deposit attached impurities,appear dark gray spots / surface and other oxidation defects,reduce the adhesion of cathode seed plate,make the cathode copper adhering to the surface fall off early and fall into the electrolytic cell,affecting the output and quality of cathode copper.In order to solve this problem,it is necessary to send several employees to detect and sort the cathode seed plates with serious oxidation defects on the surface in the special station of the cathode copper strip transportation production line,send them to the workbench for manual grinding and repair,and then arrange the plates again.The problems of poor sorting effect,high working intensity,low efficiency and low grinding quality can be produced by simply relying on manual detection and sorting of cathode seed plate.It is necessary to study on-line detection and automatic grinding repair system of cathode seed plate surface defects to solve these problems.The main work and conclusions are summarized as follows.Firstly,the composition,running rhythm,time sequence and characteristics of cathode copper production process in a copper smelter were analyzed,and the scheme of on-line detection and automatic grinding repair system for surface defects of cathode seed plate of copper electrolysis based on the integration of machine vision detection and constant force grinding was established without changing the original process,and the overall system was carried out Case design.In the aspect of visual inspection system design,determine the main hardware selection of light source,camera,lens and so on.In order to detect the degree of oxidation defects on the surface of the cathode seed plate,the qualification of the cathode seed plate is evaluated by calculating the proportion of the target characteristic area on the surface of the cathode seed plate.In this paper,the image processing technology is used to study the target feature area of cathode seed plate template image.Different image algorithms are used to analyze the target feature area and determine the optimal image processing algorithm.Finally,the target feature area of the cathode seed plate is effectively segmented,identified and the area ratio is calculated to effectively identify the degree of oxidation defects of the cathode seed plate.According to the grinding characteristics of the cathode seed plate and the requirements of the actual working environment of the factory,the grinding robot system of the cathode seed plate is designed.Detailed analysis and design are carried out on the body structure of cathode seed plate grinding robot and the material selection of constant force grinding device.In order to verify theperformance of the designed grinding robot body,the finite element analysis method is used to demonstrate and obtain the important parameters of the mechanical characteristics of the body.In order to realize the constant force grinding control of cathode seed plate,the mathematical model of constant force grinding device is established,and the improved fuzzy PID control algorithm is designed for simulation.The experimental results show that the fuzzy PID control algorithm can better meet the requirements of constant force grinding control.