Improving the Accuracy of Surface Roughness Modeling when Milling 3x13 Steel

Authors

  • N. V. Cuong Faculty of Mechanical Engineering, University of Transport and Communications, Vietnam
  • N. L. Khanh Faculty of Mechanical Engineering, University of Transport and Communications, Vietnam
Volume: 12 | Issue: 4 | Pages: 8878-8883 | August 2022 | https://doi.org/10.48084/etasr.5042

Abstract

In this study, a milling experiment was performed, with 3x13 steel selected as the experimental material along with TiAlN coated inserts. The Box-Behnken method was used to design the experimental matrix with a total of eighteen experiments. Cutting speed, feed amount, and depth of cut were selected as the input parameters. Three regression models of surface roughness have been established, one using the experimentally measured surface texture, one using the Johnson transform to convert the surface texture data, and one using Box-Cox transformation to convert the surface texture data. A comparison of the accuracy of the three models was performed. The results show that the model using the Box-Cox transformation has the highest accuracy, followed by the model using the Johnson transformation. In addition, the influence of cutting parameters on surface roughness is also discussed in detail.

Keywords:

Milling, 3X13 steel, surface roughness, regression model, Johnson transformation, , Box-Cox transformation

Downloads

Download data is not yet available.

References

A. Dean, D. Voss, and D. Draguljić, Design and Analysis of Experiments. Springer, 2017. DOI: https://doi.org/10.1007/978-3-319-52250-0

J. Antony, Design of Experiments for Engineers and Scientists, 2nd ed. Oxford, UK: Elsevier, 2014.

T. H. Le, V. B. Pham and T. D. Hoang, "Surface Finish Comparison of Dry and Coolant Fluid High-Speed Milling of JIS SDK61 Mould Steel," Engineering, Technology & Applied Science Research, vol. 12, no. 1, pp. 8023–8028, Feb. 2022. DOI: https://doi.org/10.48084/etasr.4594

R. M. Sakia, "The Box-Cox Transformation Technique: A Review," Journal of the Royal Statistical Society. Series D (The Statistician), vol. 41, no. 2, pp. 169–178, 1992. DOI: https://doi.org/10.2307/2348250

W. M. A. W. Ahmad, N. N. Naing, and N. A.Halim, "An appliciation of Box-Cox transformation to biostatics experiment data," Journal of Bioscience, vol. 19, no. 1, pp. 137–145, 2008.

D. D. Trung, "Influence of Cutting Parameters on Surface Roughness during Milling AISI 1045 Steel," Tribology in Industry, vol. 42, no. 4, pp. 658-665, 2020. DOI: https://doi.org/10.24874/ti.969.09.20.11

D. D. Trung and N. T. Nguyen, "Investigation of the Surface Roughness in Infeed Centerless Grinding of SCM435 Steel," International journal of Automation Technology, vol. 15, no. 1, pp. 123-130, 2021. DOI: https://doi.org/10.20965/ijat.2021.p0123

B. Bhardwaj, R. Kumar, and P. K. Singh, "An improved surface roughness prediction model using Box-Cox transformation with RSM in end milling of EN 353," Journal of Mechanical Science and Technology, vol. 28, no. 12, pp. 5149-5157, 2014. DOI: https://doi.org/10.1007/s12206-014-0837-4

B. Bhardwaj, R. Kumar, and P. K. Singh, "Effect of machining parameters on surface roughness in end milling of AISI 1019 steel," Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 228, no. 5, pp. 704–714, May 2014. DOI: https://doi.org/10.1177/0954405413506417

D. D. Trung, "Influence of Cutting Parameters on Surface Roughness in Grinding of 65G Steel," Tribology in Industry, vol. 43, no. 1, pp. 167-176, 2021. DOI: https://doi.org/10.24874/ti.1009.11.20.01

N. V. Thien and D. D. Trung, "Study on model for cutting force when milling SCM440 steel," EUREKA: Physics and Engineering, vol. 2021, no. 5, pp. 23-35, 2021. DOI: https://doi.org/10.21303/2461-4262.2021.001743

N. T. Nguyen and D. D. Trung, "Development of surface roughness model in turning process of 3X13 steel using TiAlN coated carbide insert," EUREKA: Physics and Engineering, vol. 2021, no. 4, pp. 113-124, 2021. DOI: https://doi.org/10.21303/2461-4262.2021.001937

V. T. N. Uyen and N. H. Son, "Improving accuracy of surface roughness model while turning 9XC steel using a Titanium Nitride-coated cutting tool with Johnson and Box-Cox transformation," AIMS Materials Science, vol. 8, no 1, pp. 1–17, 2020. DOI: https://doi.org/10.3934/matersci.2021001

N. H. Son and D. D. Trung, "Investigation of the effects of cutting parameters on surface roughness when grinding 3X13 steel using CBN grinding wheel," Journal of Multidisciplinary Engineering Science and Technology, vol. 6, no. 10, pp. 10919-10921, 2019.

N. T. Nguyen, D. H. Tien, and D. D. Trung, "Multi-Objective Optimization when Surface Grinding the 3X13 Steel by Combining the General Reduced Gradient Algorithm and Harmonic Mean Method," ASTES Journal, vol. 5, no. 5, pp. 395–400, 2020. DOI: https://doi.org/10.25046/aj050550

P. Chockalingam and L. H. Wee, "Surface Roughness and Tool Wear Study on Milling of AISI 304 Stainless Steel Using Different Cooling Conditions," International Journal of Engineering and Technology, vol. 2, no. 8, pp. 1386–1391, Aug. 2012.

N. L. Khanh, and N. V. Cuong, "Parameter Selection to Ensure Multi-Criteria Optimization of the Taguchi Method Combined with the Data Envelopment Analysis-based Ranking Method when Milling SCM440 Steel," Engineering, Technology & Applied Science Research, vol. 11, no. 5, pp. 7551-7557, 2021. DOI: https://doi.org/10.48084/etasr.4315

T. V. Dich, N. T. Binh, N. T. Dat, N. V. Tiep, and T. X. Viet, Manufacturing technology. Hanoi, Vietnam: Science and Technics Publishing House, 2003.

M. P. Groover, Fundamentals of Modern Manufacturing: Materials, Processes, and Systems. Upper Saddle River, NJ, USA: Prentice Hall, 1996.

V. C. Nguyen, T. D. Nguyen, and D. H. Tien, "Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis," Engineering, Technology & Applied Science Research, vol. 11, no. 11, pp. 6775-6780, 2021. DOI: https://doi.org/10.48084/etasr.4015

Downloads

How to Cite

[1]
N. V. Cuong and N. L. Khanh, “Improving the Accuracy of Surface Roughness Modeling when Milling 3x13 Steel”, Eng. Technol. Appl. Sci. Res., vol. 12, no. 4, pp. 8878–8883, Aug. 2022.

Metrics

Abstract Views: 260
PDF Downloads: 120

Metrics Information
Bookmark and Share

Most read articles by the same author(s)