Method for predicting forming quality of internal threads of copper tubes on basis of BP (back-propagation) neural network algorithms

Abstract

The invention relates to a method for predicting the forming quality of internal threads of copper tubes on the basis of BP (back-propagation) neural network algorithms, and belongs to the field of technologies for predicting the quality of internal threads of copper tubes. The method has the advantages that the method for predicting the forming quality of the internal threads of the copper tubes at early manufacturing stages is easy to apply and high in efficiency, and the quality of the internal threads can be controlled; three elements including the rotational speed, the drawing speed and the spinning location of a motor are used as independent variables, tooth heights of the internal threads are used as dependent variables, BP neural networks on the basis of genetic algorithms are constructed by the aid of the independent variables and the dependent variables, the forming quality of the internal threads can be predicted by the aid of the BP neural networks, complicated mathematical modeling problems are transformed into problems for solving network connection weights and thresholds from discrete experimental data by means of training and learning, system models which can reflect various main technological parameters and forming quality inherent laws in internal thread forming procedures are built, and accordingly effective ways can be provided for predicting the forming quality and defects of the internal threads.

Description

technical field [0001] The invention belongs to the technical field of copper internal thread quality prediction, and mainly relates to a method for predicting the forming quality of copper pipe internal thread based on BP neural network algorithm. Background technique [0002] According to the national sustainable development requirements and the Twelfth Five-Year Plan, the air-conditioning manufacturing industry is developing in the direction of energy saving, environmental protection and health. Phosphorus deoxidized copper No. 2 (TP2) is widely used in heat exchangers, fuel systems, air restrictors and pump pipes and other deep drawn and welded parts because of its good thermal conductivity, corrosion resistance and excellent processability Among them, especially in the air-conditioning industry, it is very popular. [0003] TP2 internal thread copper tube has good thermal conductivity, anti-magnetic, corrosion resistance and excellent processing performance, widely use...

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Problems solved by technology

Zhang Guangliang et al. analyzed the causes of folding defects in the TP2 internal thread forming process, and concluded that the gap between the tube blank and the thread core is the cause of the folding, but did not link this factor with the specific forming process parameters , the analysis is not deep enough

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