Research on Performance Testing of Copper Rod Based on XGBoost Algorithm
In order to optimize the preparation performance of copper rods in industrial production,a copper rod performance detection model based on XGBoost algorithm was studied and designed.Based on the copper rod production data of a certain copper factory in the first half of 2023,the data is processed to extract features related to the copper rod production process,and combined with the XGBoost algorithm to construct a copper rod performance detection model.The results showed that the maximum error between the true value and the detection value of the tensile strength of the copper rod was about 1.1 MPa,and the maximum error between the true value and the detection value of the tensile performance of the copper rod was about 0.5％,indicating that the model has extremely high detection accuracy.In the experiment of optimizing the performance of copper rods using this model,it was found that adding w(La)to the raw copper at a range of 0.000 18％to 0.000 22％can maintain the tensile strength and ductility of copper rods at 375～380 MPa and 3.0％to 3.2％,respectively.From this,it can be seen that the constructed copper rod performance testing model can accurately detect the performance of copper rods and optimize production process parameters,while providing technical support for the testing and optimization of similar products.
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