Investigation of Influencing Factors on Surface Quality during Low-Speed Cutting of Steels with a Hardness exceeding 50 HRC for forging Dies
Received: 18 February 2024 | Revised: 16 March 2024 | Accepted: 28 March 2024 | Online: 1 June 2024
Corresponding author: Chaiyakron Sukkam
Abstract
This study investigates the factors that affect surface quality in low-speed milling of steel with a hardness greater than 50 HRC, specifically for forming molds. The material used in the experiment was SKT4 mold steel with a hardness of 50 HRC, which is commonly employed to form molds, with dimensions of 100×100×50 mm. The cutting tools put into service were carbide ball end mills of the HARD Series 5R×10×60L. This study examines changes in the surface roughness values of the milled workpiece material based on the feed rate and cutting depth. The constant spindle speed deployed was 1,200 rpm, and heat dissipation was achieved by air cooling. The results revealed that the feed rate and the interaction between the feed rate and the cutting depth had a p-value of 0.000. This considerably influences the average surface roughness (Ra) value at the 0.05 significance level. However, the cutting depth had a p-value of 0.061, which is greater than the significance level of 0.05 and thus does not substantially affect the average surface roughness.
Keywords:
factors affecting surface quality, low-speed cutting, steels, hardness greater than 50 HRC, die forgingDownloads
References
Y. S. Lai, W. Z. Lin, Y. C. Lin, and J. P. Hung, "Development of Surface Roughness Prediction and Monitoring System in Milling Process," Engineering, Technology & Applied Science Research, vol. 14, no. 1, pp. 12797–12805, Feb. 2024.
J. P. Davim, Machining of Hard Materials. Springer Science & Business Media, 2011.
L. Li, N. He, M. Wang, and Z. G. Wang, "High speed cutting of Inconel 718 with coated carbide and ceramic inserts," Journal of Materials Processing Technology, vol. 129, no. 1, pp. 127–130, Oct. 2002.
S. Dolinšek, B. Šuštaršič, and J. Kopač, "Wear mechanisms of cutting tools in high-speed cutting processes," Wear, vol. 250, no. 1, pp. 349–356, Oct. 2001.
S. Kalpakjian and S. Schmid, Manufacturing Engineering & Technology, 7th ed. Singapore: Pearson, 2013.
J. Haider and M. S. J. Hashmi, "Health and Environmental Impacts in Metal Machining Processes," in Comprehensive Materials Processing, S. Hashmi, G. F. Batalha, C. J. V. Tyne, and B. Yilbas, Eds. Elsevier, 2014, pp. 7–33.
A. W. El-Morsy, "Wear Analysis of a Ti-5Al-3V-2.5Fe Alloy Using a Factorial Design Approach and Fractal Geometry," Engineering, Technology & Applied Science Research, vol. 8, no. 1, pp. 2379–2384, Feb. 2018.
L. Lu et al., "Microstructure and cutting performance of CrTiAlN coating for high-speed dry milling," Transactions of Nonferrous Metals Society of China, vol. 24, no. 6, pp. 1800–1806, Jun. 2014.
T. T. Nguyen, "Prediction and optimization of machining energy, surface roughness, and production rate in SKD61 milling," Measurement, vol. 136, pp. 525–544, Mar. 2019.
E. Vazquez, J. Gomar, J. Ciurana, and C. A. Rodríguez, "Analyzing effects of cooling and lubrication conditions in micromilling of Ti6Al4V," Journal of Cleaner Production, vol. 87, pp. 906–913, Jan. 2015.
F. Siddiqui, M. A. Akhund, A. H. Memon, A. R. Khoso, and H. U. Imad, "Health and Safety Issues of Industry Workmen," Engineering, Technology & Applied Science Research, vol. 8, no. 4, pp. 3184–3188, Aug. 2018.
B. T. Daymond, N. Binot, M. L. Schmidt, S. Preston, R. Collins, and A. Shepherd, "Development of Custom 465® Corrosion-Resisting Steel for Landing Gear Applications," Journal of Materials Engineering and Performance, vol. 25, pp. 1539–1553, Apr. 2016.
J. Kanchana, V. Prasath, V. Krishnaraj, and B. Geetha Priyadharshini, "Multi response optimization of process parameters using grey relational analysis for milling of hardened Custom 465 steel," Procedia Manufacturing, vol. 30, pp. 451–458, Jan. 2019.
D. H. Tien, Q. T. Duc, T. N. Van, N.-T. Nguyen, T. Do Duc, and T. N. Duy, "Online monitoring and multi-objective optimisation of technological parameters in high-speed milling process," The International Journal of Advanced Manufacturing Technology, vol. 112, no. 9, pp. 2461–2483, Feb. 2021.
A. Ramli, R. I. R. Abdullah, and L. Razak, "Application of Full Factorial Analysis Design For Determining Surface Roughness Model In End Milling of Hardened Steel Material Using Solid Carbide Niti Co 30 Standard End Mill," in Proceedings of the Malaysia TVET on Research via Exposure, Aug. 2019.
T. Hirooka, T. Kobayashi, A. Hakotani, R. Sato, and K. Shirase, "Surface Roughness Control Based on Digital Copy Milling Concept to Achieve Autonomous Milling Operation," Procedia CIRP, vol. 4, pp. 35–40, Jan. 2012.
A. R. Rodrigues et al., "Surface integrity analysis when milling ultrafine-grained steels," Materials Research, vol. 15, pp. 125–130, Feb. 2012.
M. S. Hossain and N. Ahmad, "Surface Roughness Prediction Modeling for AISI 4340 after Ball End Mill Operation using Artificial Intelligence," International Journal of Scientific and Engineering Research, vol. 3, pp. 1–10, Jan. 2012.
M. K. Dikshit, A. B. Puri, and A. Maity, "Optimization of surface roughness in ball-end milling using teaching-learning-based optimization and response surface methodology," Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 231, no. 14, pp. 2596–2607, Dec. 2017.
B. M. Gopalsamy, B. Mondal, S. Ghosh, K. Arntz, and F. Klocke, "Experimental investigations while hard machining of DIEVAR tool steel (50 HRC)," The International Journal of Advanced Manufacturing Technology, vol. 51, no. 9, pp. 853–869, Dec. 2010.
W. Bouzid, A. Zghal, and L. Saï, "Taguchi Method For Design Optimisation of Milled Surface Roughness," Materials Technology, vol. 19, no. 3, pp. 159–162, Jan. 2004.
W. Mersni, M. Boujelbene, S. B. Salem, and A.-S. Alghamdi, "Optimization of the surface roughness in ball end milling of titanium alloy Ti-6Al-4V using the Taguchi Method," Procedia Manufacturing, vol. 20, pp. 271–276, Jan. 2018.
V. K. Mall, P. Kumar, and B. Singh, "A Review of Optimization of Surface Roughness of Inconel 718 in End Milling using Taguchi Method," International Journal of Engineering Research and Applications, vol. 4, no. 12, pp. 103–109, 2014.
A. Dean and D. Voss, Eds., Design and Analysis of Experiments. New York, NY, USA: Springer-Verlag, 1999.
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.
U. Esme, "Surface roughness analysis and optimization for the CNC milling process by the desirability function combined with the response surface methodology," Materials Testing, vol. 57, no. 1, pp. 64–71, Jan. 2015.
J. Antony, Design of Experiments for Engineers and Scientists. Elsevier, 2023.
N. V. Cuong and N. L. Khanh, "Improving the Accuracy of Surface Roughness Modeling when Milling 3x13 Steel," Engineering, Technology & Applied Science Research, vol. 12, no. 4, pp. 8878–8883, Aug. 2022.
K. Palanikumar and R. Karthikeyan, "Optimal machining conditions for turning of particulate metal matrix composites using Taguchi and response surface methodologies," Machining Science and Technology, vol. 10, no. 4, pp. 417–433, 2006.
I. S. Kang, J. S. Kim, and Y. W. Seo, "Investigation of cutting force behaviour considering the effect of cutting edge radius in the micro-scale milling of AISI 1045 steel," Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 225, no. 2, pp. 163–171, Feb. 2011.
"ASME B46.1-2009: Surface Texture (Surface Roughness, Waviness, and Lay)." American Society of Mechanical Engineers, 2009.
S. Padhan et al., "Investigation on Surface Integrity in Hard Turning of AISI 4140 Steel with SPPP-AlTiSiN Coated Carbide Insert under Nano-MQL," Lubricants, vol. 11, no. 2, Feb. 2023, Art. no. 49.
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