Parameters Optimization Research of High-Speed Milling PM60 Mould Steel Based on Taguchi Method

Ying Xing Xie; Cheng Yong Wang; Feng Ding; Wen Huang

doi:10.4028/www.scientific.net/MSF.861.75

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HomeMaterials Science ForumMaterials Science Forum Vol. 861Parameters Optimization Research of High-Speed...

Parameters Optimization Research of High-Speed Milling PM60 Mould Steel Based on Taguchi Method

Abstract:

In order to obtain better surface quality after high speed milling high hardness mold steel, and reduce tool wear in cutting process, prolong the service life of cutting tools, obtain superior levels and optimal combination of cutting parameters in the test range. Through the design of orthogonal experiment, the use of Taguchi method, and noise ratio analysis and variance analysis of dry cutting high hardness mould steel PM60 under different cutting parameters; and finally, the optimal cutting parameters of surface roughness and cutting force value were predicted and verified. Research showed that: the worst cutting parameters influenced the surface roughness R_a was radial depth of cut a_e, its influence was highly significant, followed by spindle speed n and depth of axial cut a_p; the most serious impact cutting parameter of cutting force F was the feed speed v_f, followed by the spindle speed n and radial depth of cut a_e; verification test showed that the optimal cutting parameters combination were reasonable and the calculation errors of the predicted values and experimental values were very small, indicating that Taguchi method in cutting parameters optimization of cutting mould steel PM60 was valid.

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Periodical:

Materials Science Forum (Volume 861)

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75-83

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https://doi.org/10.4028/www.scientific.net/MSF.861.75

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Online since:

July 2016

Authors:

Ying Xing Xie, Cheng Yong Wang*, Feng Ding, Wen Huang

Keywords:

Cutting Force, High-Speed Milling, Surface Roughness, Taguchi Method, TiSiN

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* - Corresponding Author

References

[1] A.M. Zain, H. Haron, S. Sharif, Prediction of surface roughness in the end milling machining using artificial neural network, Expert Sys. Appl. 37 (2010) 1755–1768.

DOI: 10.1016/j.eswa.2009.07.033

Google Scholar

[2] K.V.M.K. Raju, G.R. Janardhana, Optimization of cutting conditions for surface roughness in CNC end milling, Int. J. Pre. Eng. Manuf. 12 (2011) 383-391.

DOI: 10.1007/s12541-011-0050-7

Google Scholar

[3] N. He, High Speed Cutting Technology, Shanghai Science and Technology Press, China , (2012).

Google Scholar

[4] Y.Z. Pan, X. Ai, Z. T Tang, J. Zhao, Optimization of tool geometry and cutting parameters based on a predictive model of cutting force, Chin. J. Mech. Eng. 19 (2008) 428–431.

Google Scholar

[5] B.G. Li, Y.J. Hu, X.L. Wang, C.G. Li. Cutting force prediction based on obilique cutting theory in end milling, Chin. J. Mech. Eng. 10 (2011) 2283–2288.

Google Scholar

[6] Y.B. Liu, C. Zhao, M.J. Feng, Research of cutting parameters of high-speed milling based on orthogonal of experimental, Modular machine tool & automatic manufacturing technique. 9 (2008) 68–71.

Google Scholar

[7] W.B. Huang, M.L. Kang. Research on processing parameter optimization of milling ultra-high strength steel 30Cr3SiNiMoVA, Aerospace manufacturing technology. 8(2013) 32–36.

Google Scholar

[8] M.R. Razfar R.F. Zinati，M. Haghshenas, Optimum surface roughness prediction in face milling by using neural network and harmony search algorithm, Int. J. Adv. Manuf. Technol. 52 (2011) 487–495.

DOI: 10.1007/s00170-010-2757-5

Google Scholar

[9] C. Zhang，Y. Zhang，Z. Li，Y. Liu, Research and application of cutting parameters of high- speed machining based on Taguchi method, Mod. Manuf. Eng. 8 (2006) 78–80.

Google Scholar

[10] A. Hamdan A.A.D. Sarhan，M. Hamdi, An optimization method of the machining parameters in high-speed machining of stainless steel using coated carbide tool for best surface finish, Int. J. Adv. Manuf. Technol. 58 (2012) 81–91.

DOI: 10.1007/s00170-011-3392-5

Google Scholar

[11] E. Bagci, S. Aykut. A study of Taguchi optimization method for identifying optimum surface roughness in CNC face milling of cobalt-based alloy, Int. J. Adv. Manuf. Technol. 29 (2006) 940–947.

DOI: 10.1007/s00170-005-2616-y

Google Scholar

[12] J.Z. Zhang J.C. Chen E.D. Kirby, Surface roughness optimization in an end-milling operation using the Taguchi design method, J. Mater. Process. Technol. 184 (2007) 233–239.

DOI: 10.1016/j.jmatprotec.2006.11.029

Google Scholar

[13] J. Yang, H.B. He, H.Y. Li, W.Q. Han, T. Gu. Optimization of dry cutting parameters based on cutting force and surface roughness, Journal of southwest university (natural science edition). 12 (2014) 187–192.

Google Scholar

[14] T. Kıvak. Optimization of surface roughness and flank wear using the Taguchi method in milling of hadfield steel with PVD and CVD coated inserts, Measurement. 50 (2014) 19–28.

DOI: 10.1016/j.measurement.2013.12.017

Google Scholar