Machining Parameters Prediction Using Artificial Neural Network

Keywords:
CNC, Neural Network, Machining, Turning, MATLAB

Abstract:
This paper represents the training of the artificial neural network for predicting machining parameters using MATLAB. As input data, machine parameters such as spindle speed, feed, and diameter are used. The input data depend on the workpiece material used in the process and the machine. Output data is entered as cutting time and material removal rate per unit. To test the time and material removal rate, the length of cut is divided into three segments of constant value with different cutting parameters. Cutting speed is used as a minimum, medium, and maximum value for the used workpiece and the machine to calculate the input of spindle speed, while feed input samples are randomized for each segment. All input and output data are typed in the Excel data sheet that is loaded into MATLAB. A neural network is created and trained to predict the output values using the input data from the sheet. The results show the prediction accuracy and the percentage of errors in predictions.

CITATION:

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P. Jakovljević, �. Dihovični, N. Ratković Kovačević, “Machining Parameters Prediction Using Artificial Neural Network,” in Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2026, pp. 123-128. doi:10.15308/Sinteza-2026-123-128

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Jakovljević, P., Dihovični, �., Ratković Kovačević, N. (2026). Machining Parameters Prediction Using Artificial Neural Network. Paper presented at Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2026-123-128

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