Optimisation method for NC machining parameters of mechanical mould based on artificial neural network Online publication date: Thu, 30-Jun-2022
by Renxing Wen
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 36, No. 2/3/4, 2022
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Manufacturing Technology and Management (IJMTM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook