IJAT Vol.18 No.3 pp. 382-389
doi: 10.20965/ijat.2024.p0382

Research Paper:

Prediction of Surface Roughness Components in Turning with Single Point Tool—Measurement of Tool Edge Contour and Prediction of its Position During Cutting—

Ryo Sakamoto*, Ryutaro Tanaka*,† ORCID Icon, Isaí Espinoza Torres*,** ORCID Icon, Israel Martínez Ramírez** ORCID Icon, Katsuhiko Sekiya*, and Keiji Yamada* ORCID Icon

*Graduate School of Advanced Science and Engineering, Hiroshima University
1-4-1 Kagamiyama, Higashi-hiroshima, Hiroshima 739-8527, Japan

Corresponding author

**Mechanical Engineering Department, University of Guanajuato
Salamanca, Mexico

October 4, 2023
January 4, 2024
May 5, 2024
turning, surface roughness, tool wear, lubricant, over cutting

Surface roughness is affected by the tool geometry, feed rate, overcutting by built-up edge, and tool vibration in the depth of the cut direction. However, dividing the roughness value into each component is difficult. Therefore, a new prediction method for the position of the tool contour on the roughness curve is proposed to divide the measured roughness value into components. This proposed method consists of two processes. In one, the roughness curve is divided into the roughness curve formed during each revolution of the work material regardless of the clarity of the feed marks. The other is the process that predicts the vertical position of the tool contour. If the vertical position of the tool contour can be predicted, the vibration and overcutting components of roughness can also be predicted. In this study, the transition of roughness components such as the theoretical roughness, vibration width, and overcutting is studied with the increase in the cutting distance in the turning of chromium molybdenum steel, JIS SCM435. When supplying a 10% emulsion mist, the measured Rz is smaller than that of the dry condition. In both the dry and mist supply conditions, the measured Rz increases from the beginning of cutting then decreases and then increases again with the increase in the cutting distance. The largest component of the total roughness in both the dry and mist supply conditions is the theoretical roughness Rth. The ratio ranges between 50.3% and 78.7%. Regardless of the cutting conditions, the vibration width in the depth of the cut direction is relatively constant. The overcutting slightly increases after the start of cutting, then decreases when the maximum contact length exceeds approximately 0.1 mm. The proposed method verifies the ratio of the surface roughness components and is an effective method for improving the surface roughness.

Cite this article as:
R. Sakamoto, R. Tanaka, I. Torres, I. Ramírez, K. Sekiya, and K. Yamada, “Prediction of Surface Roughness Components in Turning with Single Point Tool—Measurement of Tool Edge Contour and Prediction of its Position During Cutting—,” Int. J. Automation Technol., Vol.18 No.3, pp. 382-389, 2024.
Data files:
  1. [1] M. Nalbant, H. Gökkaya, and G. Sur, “Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning,” Materials & Design, Vol.28, No.4, pp. 1379-1385, 2007.
  2. [2] H. Kodama, S. Matsuno, N. Shibata, and K. Ohashi, “Effect of vibration behavior in low-frequency vibration cutting on surface properties of workpiece,” Int. J. Automation Technol., Vol.17, No.5, pp. 434-448, 2023.
  3. [3] W. Grzesik, “Influence of tool wear on surface roughness in hard turning using differently shaped ceramic tools,” Wear, Vol.265, Nos.3-4, pp. 327-335, 2008.
  4. [4] C. Felho and G. Varga, “Theoretical roughness modeling of hard turned surfaces considering tool wear,” Machines, Vol.10, No.3, Article No.188, 2022.
  5. [5] W. K. Mook, H. H. Shahabi, and M. M. Ratnam, “Measurement of nose radius wear in turning tools from a single 2D image using machine vision,” The Int. J. of Advanced Manufacturing Technology, Vol.43, Nos.3-4, pp. 217-225, 2009.
  6. [6] W. Grzesik, “A revised model for predicting surface roughness in turning,” Wear, Vol.194, Nos.1-2, pp. 143-148, 1996.
  7. [7] R. Thamma, “Comparison between multiple regression models to study effect of turning parameters on the surface roughness,” Proc. of the 2008 IAJC-IJME Int. Conf., Article No.133, 2008.
  8. [8] M. S. H. Bhuiyan and I. A. Choudhury, “Investigation of tool wear and surface finish by analyzing vibration signals in turning Assab-705 steel,” Machining Science and Technology, Vol.19, No.2, pp. 236-261, 2015.
  9. [9] G. Zhang, S. To, and S. Zhang, “Evaluation for tool flank wear and its influences on surface roughness in ultra-precision raster fly cutting,” Int. J. of Mechanical Sciences, Vol.118, pp. 125-134, 2016.
  10. [10] N. R. Dhar and M. Kamruzzaman, “Cutting temperature, tool wear, surface roughness and dimensional deviation in turning AISI-4037 steel under cryogenic condition,” Int. J. of Machine Tools and Manufacture, Vol.47, No.5, pp. 754-759, 2007.
  11. [11] H. H. Shahabi and M. M. Ratnam, “Assessment of flank wear and nose radius wear from workpiece roughness profile in turning operation using machine vision,” The Int. J. of Advanced Manufacturing Technology, Vol.43, No.1, pp. 11-21, 2009.
  12. [12] A. N. Sung, M. M. Ratnam, and W. P. Loh, “Effect of tool nose profile tolerance on surface roughness in finish turning,” The Int. J. of Advanced Manufacturing Technology, Vol.76, No.9, pp. 2083-2098, 2015.
  13. [13] M. Taguchi, “The relation between tool wear and surface roughness in machining of cast iron,” J. of the Japan Society of Precision Engineering, Vol.32, No.380, pp. 649-653, 1966 (in Japanese).
  14. [14] T. H. C. Childs et al., “Surface finishes from turning and facing with round nosed tools,” CIRP Annals, Vol.57, No.1, pp. 89-92, 2008.
  15. [15] K. Sekiya, S. Watanabe, K. Yamada, R. Tanaka, and Y. Yamane, “Stability of adhered material to the cutting edge of a cermet insert in turning of an austenitic stainless steel,” Key Engineering Materials, Vols.656-657, pp. 363-368, 2015.
  16. [16] Y. Yamane, R. Tanaka, T. Sugino, I. M. Ramirez, and K. Yamada, “A new quantitative evaluation for characteristic of surface roughness in turning,” Precision Engineering, Vol.50, pp. 20-26, 2017.
  17. [17] T. Kitamura, R. Tanaka, Y. Yamane, K. Sekiya, and K. Yamada, “Performance evaluation method for cutting fluids using cutting force in micro-feed end milling,” Precision Engineering, Vol.62, pp. 232-243, 2020.
  18. [18] R. Sakamoto, R. Tanaka, K. Sekiya, and K. Yamada, “Distribution of flank wear width of a rounded nosed insert calculated from nose profile,” Int. J. of Abrasive Technology, Vol.12, No.1, pp. 26-36, 2022.
  19. [19] W. J. Zong, Y. H. Huang, Y. L. Zhang, and T. Sun, “Conservation law of surface roughness in single point diamond turning,” Int. J. of Machine Tools and Manufacture, Vol.84, pp. 58-63, 2014.
  20. [20] S. Wojciechowski, “Estimation of minimum uncut chip thickness during precision and micro-machining processes of various materials—A critical review,” Materials, Vol.15, No.1, Article No.59, 2022.
  21. [21] A. Aramcharoen and P. T. Mativenga, “Size effect and tool geometry in micromilling of tool steel,” Precision Engineering, Vol.33, No.4, pp. 402-407, 2009.

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Last updated on Jul. 12, 2024