COMPARATIVE STUDY OF SURFACE HEIGHT AND GRADIENT PARAMETERS IN TURNING OF 42CRMO4 AND X5CRNI18-10
DOI:
https://doi.org/10.20998/2078-7405.2026.104.11Keywords:
tangential turning, surface topography, roughness parameters, material comparisonAbstract
This study presents a comparative investigation of surface topography in turning of two engineering materials, 42CrMo4 alloy steel and X5CrNi18-10 austenitic stainless steel. A full factorial experimental design was applied to evaluate the effects of cutting speed, feed, depth of cut, and material type on selected areal surface roughness parameters. The analysis focused on Sq, Sp, Sv, and Sdq, representing surface height and gradient characteristics according to ISO 25178. The results show a strong dependence of surface topography on material properties. The 42CrMo4 steel exhibited significantly higher roughness and steeper surface features compared to the stainless steel under identical cutting conditions. Increasing cutting speed led to a consistent reduction in all evaluated parameters, while feed rate primarily influenced the amplitude-related characteristics. The Sdq parameter showed lower sensitivity to cutting conditions but highlighted clear differences in surface slopes between the materials. The findings demonstrate that the combined evaluation of height and gradient parameters provides an effective approach for characterizing machining-induced surface features and supports improved selection of cutting conditions.
References
Javidi, A., Rieger, U., & Eichlseder, W. (2008). The effect of machining on the surface integrity and fatigue life. International Journal of Fatigue, 30(10–11), 2050–2055. https://doi.org/10.1016/j.ijfatigue.2008.01.005
Lu, C. (2007). Study on prediction of surface quality in machining process. Journal of Materials Processing Technology, 205(1–3), 439–450. https://doi.org/10.1016/j.jmatprotec.2007.11.270
He, C., & Zong, W. (2019). Influencing factors and theoretical models for the surface topography in diamond Turning Process: a review. Micromachines, 10(5), 288. https://doi.org/10.3390/mi10050288
Alar, V., Razumić, A., Runje, B., Stojanović, I., Kurtela, M., & Štrbac, B. (2025). Application of areal topography parameters in surface characterization. Applied Sciences, 15(12), 6573. https://doi.org/10.3390/app15126573
Pawlus, P., Reizer, R., & Wieczorowski, M. (2021). Functional importance of surface texture parameters. Materials, 14(18), 5326. https://doi.org/10.3390/ma14185326
Jiang, Z., He, P., Zhang, X., Zhang, G., & Liu, F. (2023). Comprehensive evaluation of surface parameter correlation in running-in wear process. Journal of Physics Conference Series, 2591(1), 012003. https://doi.org/10.1088/1742-6596/2591/1/012003
He, C., Zong, W., & Zhang, J. (2018). Influencing factors and theoretical modeling methods of surface roughness in turning process: State-of-the-art. International Journal of Machine Tools and Manufacture, 129, 15–26. https://doi.org/10.1016/j.ijmachtools.2018.02.001
Kundrák, J., Felhő, C., & Nagy, A. (2022). Analysis and Prediction of Roughness of Face Milled Surfaces using CAD Model. MANUFACTURING TECHNOLOGY, 22(5), 558–572. https://doi.org/10.21062/mft.2022.061
Zheng, G., Xu, R., Cheng, X., Zhao, G., Li, L., & Zhao, J. (2018). Effect of cutting parameters on wear behavior of coated tool and surface roughness in high-speed turning of 300M. Measurement, 125, 99–108. https://doi.org/10.1016/j.measurement.2018.04.078
Dahlman, P., Gunnberg, F., & Jacobson, M. (2004). The influence of rake angle, cutting feed and cutting depth on residual stresses in hard turning. Journal of Materials Processing Technology, 147(2), 181–184. https://doi.org/10.1016/j.jmatprotec.2003.12.014
Dogra, M., Sharma, V. S., Sachdeva, A., Suri, N. M., & Dureja, J. S. (2010). Tool wear, chip formation and workpiece surface issues in CBN hard turning: A review. International Journal of Precision Engineering and Manufacturing, 11(2), 341–358. https://doi.org/10.1007/s12541-010-0040-1
Pálmai, Z., Kundrák, J., Felhő, C., & Makkai, T. (2024). Investigation of the transient change of the cutting force during the milling of C45 and X5CrNi18-10 steel taking into account the dynamics of the electro-mechanical measuring system. The International Journal of Advanced Manufacturing Technology, 133(1–2), 163–182. https://doi.org/10.1007/s00170-024-13640-6
Kalafatova, L. (2025). MODERN MATERIALS AND PROCESSING TECHNOLOGIES AS a FACTOR IN THE DEVELOPMENT OF THE AEROSPACE AND ROCKET INDUSTRIES. Cutting & Tools in Technological System, 103, 132–144. https://doi.org/10.20998/2078-7405.2025.103.10
Jiang, H., Wang, C., Ren, Z., Yi, Y., He, L., & Zhao, X. (2021). Influence of cutting velocity on gradient microstructure of machined surface during turning of high-strength alloy steel. Materials Science and Engineering A, 819, 141354. https://doi.org/10.1016/j.msea.2021.141354
Kovalov, V., Klymenko, G., Vasylchenko, Y., Shapovalov, M., Boroday, R., & Zakharov, Y. (2025). IMPROVING THE EFFICIENCY OF TOOLS FOR TURNING HIGH-STRENGTH MATERIALS. Cutting & Tools in Technological System, 103, 119–131. https://doi.org/10.20998/2078-7405.2025.103.09
Alsoufi, M. S., & Bawazeer, S. A. (2025). Mechanistic prediction of Machining-Induced deformation in metallic alloys using Property-Based regression and principal component analysis. Machines, 14(1), 37. https://doi.org/10.3390/machines14010037
Downloads
Published
Issue
Section
License
Copyright Notice
Authors who publish with this Collection agree to the following terms:
1. Authors retain copyright and grant the Collection right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Collection.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the Collection's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this Collection.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.