Developing a High-Precision Surface Roughness Model For X12m Steel Turning

Vuong Nhu Yen and Hoang Van Huynh

International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 1, 427-435

Abstract: Surface roughness is a critical parameter in evaluating the quality of machining processes in manufacturing. Constructing a surface roughness model during machining provides a basis for predicting surface roughness in specific scenarios. This study focused on developing a surface roughness model for hard turning of X12M steel. An experimental process was conducted with a total of fifteen experiments. These fifteen experiments were designed according to a Box-Behnken matrix. In each experiment, the values of three parameters—cutting speed, feed rate, and depth of cut—were varied. Surface roughness values were measured in each experiment, and subsequently, a surface roughness model was constructed. This model expresses the mathematical relationship between surface roughness and the three cutting parameters. A second surface roughness model was 1 also established using the Box-Cox transformation. The accuracy of these two models was compared through five parameters: R-squared coefficient, predicted R-squared coefficient, adjusted R-squared coefficient, Percentage Absolute Error (PAE), and Percentage Square Error (PSE). The results showed that all five parameters of the second model (the model using the Box-Cox transformation) were superior to the first model. In other words, the accuracy of the surface roughness model was improved by using the Box-Cox transformation to convert the data.

Keywords: Turning; X12M steel; surface roughness; Box-Cox transformation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i1:id:584

DOI: 10.32628/IJSRST25121181

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