Statistical analysis and mathematical modeling of cutting parameters in the turning process of 1018 steel material

This paper presents an analysis and mathematical modeling of the cutting parameters in the turning process of 1018 steel material. For this analysis, an experiment was designed using 40 specimens of 1" diameter by 6" long. In this experiment, the control parameters were cutting speed in revolutions per minute (rpm), feed rate in inches per minute (inches/minute) and depth of cut in inches (inches), while the response variable is surface roughness in micro inches (µinches). The results show that the feed rate, cutting speed and the interaction between feed rate and cutting speed affect the surface roughness of the workpiece. Finally, with the RStudio software, a mathematical model was obtained with an R2 equal to 0.99, a value very close to previous experimental works and, in addition, a good predictor of surface roughness.

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Publication Details

Journal
Journal of Applied Research and Technology
Published
2025-02-28
DOI
https://doi.org/10.22201/icat.24486736e.2025.23.1.2541
Citations
2
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
1.43
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article

Statistical analysis and mathematical modeling of cutting parameters in the turning process of 1018 steel material

Javier Molina Salazar, C.M. Clemente, Manuela Alejandra Zalapa-Garibay, Lázaro Rico Pérez
2 citations
Journal of Applied Research and Technology
Advanced machining processes and optimization
1.43
article

Statistical analysis and mathematical modeling of cutting parameters in the turning process of 1018 steel material

Javier Molina Salazar, C.M. Clemente, Manuela Alejandra Zalapa-Garibay, Lázaro Rico Pérez
article en
2 citations

Abstract

This paper presents an analysis and mathematical modeling of the cutting parameters in the turning process of 1018 steel material. For this analysis, an experiment was designed using 40 specimens of 1" diameter by 6" long. In this experiment, the control parameters were cutting speed in revolutions per minute (rpm), feed rate in inches per minute (inches/minute) and depth of cut in inches (inches), while the response variable is surface roughness in micro inches (µinches). The results show that the feed rate, cutting speed and the interaction between feed rate and cutting speed affect the surface roughness of the workpiece. Finally, with the RStudio software, a mathematical model was obtained with an R2 equal to 0.99, a value very close to previous experimental works and, in addition, a good predictor of surface roughness.

Journal of Applied Research and TechnologyVol. 23(1)
Universidad Autónoma de Ciudad Juárez (MX)
Openalex Percentile: Top 22%
Advanced machining processes and optimization
1.43
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