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Studying the Influence of Dressing Parameters on the Surface Roughness when Conducting the External Grinding of SKD11 Steel

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Abstract:

This study presents the results of a study on multi-objective optimization of internal cylindrical grinding of hardened SKD11 steel in order to find one objective function which satisfy minimum surface roughness, Ra. By this procedure, an optimum set of dressing parameters such as coarse dressing depth, number of coarse dressing, fine dressing depth, number of fine dressing, non-feeding dressing, and dressing feed speed will be found. Taguchi design methodology is accepted to find the optimum set of dressing parameters which can lead a condition of objective function as above mentioned. ANOVA is conducted based on experimental results to find the significance of each input parameter on the responses. The results reveal that the optimum value of surface roughness is 0.111 μm when using the optimum dressing parameters such as fine dressing depth at level of 2, number of fine dressing at level of 3, number of non-feeding dressing at level of 4, number of coarse dressing at level of 3, coarse dressing depth at level of 2, and dressing feed rate at level of 1.

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Periodical:

Solid State Phenomena (Volume 324)

Pages:

45-51

DOI:

https://doi.org/10.4028/www.scientific.net/SSP.324.45

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Online since:

September 2021

Authors:

Tran Ngoc Giang, Khac Khanh Bui, Quoc Cuong Dang, Dinh Ngoc Nguyen, Xuan Tu Hoang, Vu Ngoc Pi*

Keywords:

External Grinding, Grinding Dressing, Multi-Optimization, SKD11 Steel, Surface Roughness

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© 2021 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

References

[1] Hoang Xuan Tu Le Phuong Thao, T.T.H., Nguyen Thi Thanh Nga1, Do Duc Trung, Jun Gong and Vu Ngoc Pi, Influence of dressing parameters on surface roughness of workpiece for grinding hardnened 9XC tool steel. (2019).

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

Google Scholar

[2] Le Xuan Hung, V.N.P., Luu Anh Tung, Hoang Xuan Tu, Gong Jun and Banh Tien Long, Determination of Optimal Exchanged Grinding Wheel Diameter when Internally Grinding Alloy Tool Steel 9CrSi. (2018).

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

Google Scholar

[3] 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

[4] 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

[5] 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

[6] 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

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

Google Scholar

[8] 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

[9] 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

[10] 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

[11] 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

[12] Palmer, J., et al., An experimental study of the effects of dressing parameters on the topography of grinding wheels during roller dressing. Journal of Manufacturing Processes, 2018. 31: pp.348-355.

DOI: 10.1016/j.jmapro.2017.11.025

Google Scholar

[13] Prusak, Z., J.A. Webster, and I.D. Marinescu, Influence of dressing parameters on grinding performance of CBN/ Seeded Gel hybrid wheels in cylindrical grinding. International Journal of Production Research, 1997. 35(10): pp.2899-2916.

DOI: 10.1080/002075497194507

Google Scholar

[14] Puerto, P., et al., Evolution of Surface Roughness in Grinding and its Relationship with the Dressing Parameters and the Radial Wear. Procedia Engineering, 2013. 63: pp.174-182.

DOI: 10.1016/j.proeng.2013.08.181

Google Scholar

[15] Luu Anh Tung, V.N.P., Vu Thi Lien, Tran Thi Hong, Le Xuan Hung, and B.T. Long, Optimization of dressing parameters of grinding wheel 9CrSi tool steel using the taguchi method with grey relational analysis. (2019).

DOI: 10.1016/j.matpr.2019.07.007

Google Scholar

[16] NOVÁK Martin, N.N.a.K.H., Influence of dressing parameters on surface roughness of workpiece for grinding hardnened 9XC tool steel. (2016).

Google Scholar

[17] Tran Thi Hong, B.T.D., Vu Trung Tuyen, Do The Vinh,, N.T.T. Nguyen Thi Quoc Dung, Tran Ngoc Giang,, and V.N. Pi, Improvement of Wheel life by optimization of dressing parameters in surface roughness grinding of SKD11 Steel. (2019).

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

Google Scholar

[18] Dadaso D. Mohite, S.M.J., An Investigation of Effect of Dressing Parameters for Minimum Surface Roughness using CNC Cylindrical Grinding Machine. (2016).

Google Scholar

[19] Novák, M., N. Naprstkova, and H. Kasuga, Influence of Grinding Wheel Dressing on the Roughness of Final Surface and Cutting Force during GGG60 Grinding. Key Engineering Materials, 2016. 686: pp.218-223.

DOI: 10.4028/www.scientific.net/kem.686.218

Google Scholar

[20] Vu Ngoc Pi, B.T.L., Vu Hong Khiem and Nguyen Hong Quan, Profit Optimization of External Cylindrical Grinding. (2014).

Google Scholar

[21] 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. (2019).

DOI: 10.1016/j.matpr.2019.07.007

Google Scholar

[22] 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. (2019).

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

Google Scholar

[23] Vu Ngoc Pi, L.A.T., Le Xuan Hung and Banh Tien Long, Cost Optimization of Surface Grinding Process.

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

Google Scholar

[24] Dadaso D. Mohite, S.M.J., An Investigation of Effect of Dressing Parameters for Minimum Surface Roughness using CNC Cylindrical Grinding Machine. (2017).

Google Scholar

[25] Hong, T.T., et al., Multi-Criteria Optimization of Dressing Parameters for Surface Grinding 90CrSi Tool Steel Using Taguchi Method and Grey Relational Analysis. Materials Science Forum, 2020. 998: pp.61-68.

DOI: 10.4028/www.scientific.net/msf.998.61

Google Scholar

[26] 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

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