Optimisation method for NC machining parameters of mechanical mould based on artificial neural network

Renxing Wen

International Journal of Manufacturing Technology and Management, 2022, vol. 36, issue 2/3/4, 168-182

Abstract: In order to overcome the problems of low production profit and high processing cost existing in traditional methods, an optimisation method for NC machining parameters of mechanical mould based on artificial neural network is proposed. Considering the cutting speed, feed rate, cutting depth, machine power and spindle speed in the process of NC machining of mechanical mould, the maximum profit, minimum processing cost and maximum productivity are taken as the optimisation objectives, and the objective function of NC machining parameters optimisation of mechanical mould is constructed. The NC machining parameters of mechanical mould are taken as the input of parameter optimisation model, and the artificial neural network is used to solve the model. The experimental results show that the proposed method has high production profit, low processing cost, high productivity and good practical application effect.

Keywords: artificial neural network; mechanical mould; data processing; parameter optimisation; objective function. (search for similar items in EconPapers)
Date: 2022
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