Determining the Optimum Set of Dressing Parameters Satisfying Minimum Surface Roughness when Conducting the Internal Grinding of Hardened SKD11 Steel

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This study has been conducted to optimize the dressing parameters to find the minimum surface roughness for internal grinding of hardened SKD11 steel using the Taguchi method. The input parameters used are coarse dressing depth, number of coarse dressing, fine dressing depth, number of fine dressing, non-feeding dressing, and dressing feed speed. The Analysis of Variance (ANOVA) and an analysis of the signal-to-noise (S/N) response are conducted to estimate the significance of each input parameter on the responses. It shows that the number of coarse dressing has the most decisive impact on Ra (88.28%). Furthermore, the discrepancy of the roughness average from the experiments and that from prediction are minor.

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Solid State Phenomena (Volume 324)

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58-65

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September 2021

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© 2021 Trans Tech Publications Ltd. All Rights Reserved

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[1] Tran, T.H., et al., Analysis of Effects of Machining Parameters on Surface Roughness in Electrical Discharge Machining Tablet Shape Punches Using Taguchi Method. Materials Science Forum, 2020. 977: pp.12-17.

DOI: 10.4028/www.scientific.net/msf.977.12

Google Scholar

[2] Tung, L.A., et al., A Study on Optimization of Surface Roughness in Surface Grinding 9CrSi Tool Steel by Using Taguchi Method, in Advances in Engineering Research and Application. 2019. pp.100-108.

DOI: 10.1007/978-3-030-04792-4_15

Google Scholar

[3] Tu, H.X., V.N. Pi, and G. Jun, A Study on Determination of Optimum Parameters for Lubrication in External Cylindrical Grinding Base on Taguchi Method. Key Engineering Materials, 2019. 796: pp.97-102.

DOI: 10.4028/www.scientific.net/kem.796.97

Google Scholar

[4] Tran, T.H., et al., A Study on Cost Optimization of External Cylindrical Grinding. Materials Science Forum, 2020. 977: pp.18-26.

Google Scholar

[5] Hung, L.X., et al., A Study on Coolant Parameters in Internal Grinding of 9CrSi Steel. Materials Science Forum, 2019. 950: pp.24-31.

DOI: 10.4028/www.scientific.net/msf.950.24

Google Scholar

[6] Tran, T.H., et al., A Study on Calculation of Optimum Exchanged Grinding Wheel Diameter when Surface Grinding Stainless Steel. Materials Science Forum, 2020. 977: pp.3-11.

DOI: 10.4028/www.scientific.net/msf.977.3

Google Scholar

[7] Hung, L.X., et al., A Study On Calculation Of Optimum Exchanged Grinding Wheel Diameter When Internal Grinding. Materials Today: Proceedings, 2019. 18: pp.2840-2847.

DOI: 10.1016/j.matpr.2019.07.151

Google Scholar

[8] Vu Ngoc, P., et al., Experimental Determination of Optimum Exchanged Diameter in Surface Grinding Process. Journal of Environmental Science and Engineering A, 2017. 6(2).

DOI: 10.17265/2162-5298/2017.02.004

Google Scholar

[9] Le Xuan Hung, V.N.P., Luu Anh Tung, Hoang Xuan Tu, Gong Jun and BanhTien Long, Determination of Optimal Exchanged Grinding Wheel Diameter when Internally Grinding Alloy Tool Steel 9CrSi, , In IOP Conference Series: Materials Science and Engineering. 2018. IOP Publishing.

DOI: 10.1088/1757-899x/417/1/012026

Google Scholar

[10] Vu Ngoc Pi, L.A.T., Le Xuan Hung and Banh Tien Long, Cost Optimization of Surface Grinding Process, Science and Engineering A 5 (2016), pp.606-611.

DOI: 10.17265/2162-5298/2016.12a.002

Google Scholar

[11] Tran, T.-H., et al., Optimization of Replaced Grinding Wheel Diameter for Minimum Grinding Cost in Internal Grinding. Applied Sciences, 2019. 9(7).

DOI: 10.3390/app9071363

Google Scholar

[12] Xuan Tu, H., et al., Determining Optimum Parameters of Cutting Fluid in External Grinding of 9CrSi Steel using Taguchi Technique. International Journal of Mechanical Engineering, 2018. 5(6): pp.1-5.

DOI: 10.14445/23488360/ijme-v5i6p101

Google Scholar

[13] Vu Ngoc, P., et al., Cost Optimization of Internal Grinding, Journal of Materials Science and Engineering B 6 (11-12) (2016) 291-296.

Google Scholar

[14] Pi, V.N., et al., Cost Optimization of External Cylindrical Grinding. Applied Mechanics and Materials, 2013. 312: pp.982-989.

DOI: 10.4028/www.scientific.net/amm.312.982

Google Scholar

[15] Tu, H.X., et al., Calculation of Optimum Exchanged Grinding Wheel Diameter When External Grinding Tool Steel 9CrSi. International Journal of Mechanical Engineering and Robotics Research, 2018: pp.59-64.

DOI: 10.18178/ijmerr.8.1.59-64

Google Scholar

[16] S. Jeevanantham, N.M.S., D. S. Robinson Smart P. Shanmughasundaram1, and N. Manikanda Prabu3, A study on characteristics of parameters influencing internal grinding process with MRR. ARPN Journal of Engineering and Applied Sciences, (2018).

DOI: 10.17485/ijst/2016/v9i37/101134

Google Scholar

[17] Dadaso D. Mohite, S.M.J., An Investigation of Effect of Dressing Parameters for Minimum Surface Roughness using CNC Cylindrical Grinding Machine, International Journal of Research in Engineering and Applied Sciences, Volume 6, Issue 6, June, (2016).

Google Scholar

[18] Vu Ngoc Pi, B.T.L., Vu Hong Khiem and Nguyen Hong Quan, Profit Optimization of External Cylindrical Grinding, Journal of Environmental Science and Engineering B 3 (2014) 227-231.

Google Scholar

[19] Luu Anh Tung, V.N.P., Vu Thi Lien, Tran Thi Hong, Le Xuan Hung, Banh Tien Long, Optimization of dressing parameters of grinding wheel 9CrSi tool steel using the taguchi method with grey relational analysis, IOP Conf. Series: Materials Science and Engineering 635, (2019).

DOI: 10.1088/1757-899x/635/1/012030

Google Scholar

[20] Hoang Xuan Tu, L.P.T., Tran Thi Hong, Nguyen Thi Thanh Nga, Do Duc Trung4, Jun Gong and Vu Ngoc Pi, Influence of dressing parameters on surface roughness of workpiece for grinding hardened 9XC tool steel, in IOP Conference Series: Materials Science and Engineering. 2019. IOP Publishing.

DOI: 10.1088/1757-899x/542/1/012008

Google Scholar

[21] Hong, T.T., et al., Improvement of Wheel life by optimization of dressing parameters in surface roughness grinding of SKD11 Steel, Materials Science Forum 1020 (February 2021): 68–74.

DOI: 10.4028/www.scientific.net/msf.1020.68

Google Scholar

[22] Xuan Hung, L., et al., Multi-objective Optimization of Dressing Parameters of Internal Cylindrical Grinding for 9CrSi Aloy Steel Using Taguchi Method and Grey Relational Analysis. Materials Today: Proceedings, 2019. 18: pp.2257-2264.

DOI: 10.1016/j.matpr.2019.07.007

Google Scholar