Abstract
C250 steel is a Nickel-based alloy steel with really high hardness, strength and ductility. An excellent feature of this steel is its ability to limit surface cracks during machining. In this article, a study on the influence of cutting parameters on surface roughness when grinding this steel is presented. Segmented grinding wheels with 18 grooves were used and the experimental process was carried out with a total of 15 experiments in the form of a Box-Behnken design matrix. At each experiment the parameters were selected as the input parameters including the velocity of workpiece, the feed rate and the cutting depth. The surface roughness has been selected as the output parameter of the experimental process. The analysis of experimental results has determined the influence of the input parameters on the surface roughness. A regression model showing the relationship between the input parameters and the surface roughness was also developed. Genetic Algorithm (GA) was chosen as the instrument to solve the optimization problem. The results of the optimization problem have determined the values of the cutting parameters to ensure the minimum surface roughness. The experiments to verify the optimal results of the cutting parameters were also conducted. The results show that the optimal value has been achieved with a very high reliability degree, in which the deviation between the experimental and predicted values is only 5.79%. Some further directions when studying the grinding technology with segmented grinding wheel have also been proposed in this article.
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References
Guo, Z., Sha, W., Li, D.: Quantification of phase transformation kinetics of 18 wt.% Ni C250 maraging steel, Materials Science and Engineering: A, vol. Investigation of Temperature and Energy partition during Maraging Steel Micro-grinding, (1–2), 10–20 (2004). https://doi.org/10.1016/j.msea.2004.01.040
Ding, Z., Li, B., Fergani, O., Shao, Y., Liang, S.Y.: Investigation of temperature and energy partition during maraging steel micro-grinding. Procedia CIRP 56, 284–288 (2016). https://doi.org/10.1016/j.procir.2016.10.084
Varghese, V., Jagmalpuria, A., Badiger, P.V., Ramesh, M.R.: Optimisation of machining parameters for end milling of maraging steel MDN 250 using TiAlSiN and TiSiN coated WC-Co inserts. AIP Conf. Proc. 2204(040031), 1–14 (2020). https://doi.org/10.1063/1.5141604
Guo, Y.B., Sahni, J.: A comparative study of hard turned and cylindrically ground white layers. Int. J. Mach. Tools Manuf 44, 135–145 (2004). https://doi.org/10.1016/j.ijmachtools.2003.10.009
Ding, Z., Li, B., Zou, P., Liang, S.Y.: Material phase transformation during grinding. Adv Mat Res 1052, 503–508 (2014). https://doi.org/10.4028/www.scientific.net/AMR.1052.503
Malkin, S., Guo, C.: Grinding Technology: Theory and Applications of Machining with Abrasives. Industrial Press, New York (2008)
Ding, Z., Li, B., Liang, S.Y.: Phase transformation and residual stress of Maraging C250 steel during grinding. Mater. Lett. 154, 37–39 (2015). https://doi.org/10.1016/j.matlet.2015.04.040
Dung, H.T., Trung, D.D., Thien, N.V., Ky, L.H., Sonpheth, K.: Influence of Lubricant Parameters on Surface Roughness of Workpiece When Grinding SKD11 Steel. In: Sattler, K.-U., Nguyen, D.C., Vu, N.P., Tien Long, B., Puta, H. (eds.) ICERA 2019. LNNS, vol. 104, pp. 436–447. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37497-6_50
Guha, S., Das, P.P., Chakraborty, S.: Improvement in the performance with less stiff air layer formation around the rubber tube-pasted grinding wheel. J Mech. Eng. Sci. 233(15), 5175–5189 (2019). https://doi.org/10.1177/0954406219844534
Kapłonek, W., Nadolny, K., Sutowska, M., Mia, M., Pimenov, D.Y., Gupta, M.K.: Experimental studies on MoS2-treated grinding wheel active surface condition after high-efficiency internal cylindrical grinding process of INCONEL ® alloy 718. Micromachines. 10(255) 2019. https://doi.org/10.3390/mi10040255
Kapłonek, W., et al.: Internal cylindrical grinding process of INCONEL® alloy 600 Using grinding wheels with sol–gel alumina and a synthetic organosilicon polymer-based impregnate. Micromachines 11(2), 115 (2020). https://doi.org/10.3390/mi11020115
Lee, K.W., Wong, P.K., Zhang, J.H.: Study on the grinding of advanced ceramics with slotted diamond wheels. J. Mater. Process. Technol. 100(1–3), 230–235 (2000). https://doi.org/10.1016/S0924-0136(00)00403-9
Jin, D.X., Meng, Z.: Research for discontinuous grinding wheel with multi- porous grooves. Key Eng. Mater. 259, 117–121 (2004). https://doi.org/10.4028/www.scientific.net/KEM.259-260.117
Fan, X., Miller, M.H.: Force analysis for grinding with segmental wheels. Mach. Sci. Technol. 10(4), 435–455 (2006). https://doi.org/10.1080/10910340600996142
Handigund, P.B., Miller, M.H.: Abrasive Wear and Forces in Grinding of Silicon Carbide. Michigan Technological University, Houghton, MI (2001)
Trung, D.D., Thien, N.V., Nguyen, N.-T.: Application of TOPSIS method in multi-objective optimization of the grinding process using segmented grinding wheel. Tribol. Ind. 43(1), 12–22 (2021). https://doi.org/10.24874/ti.998.11.20.12
Trung, D.D., Nguyen, N.–T., Tien, D.H., Dang, H.L.: A research on multi-objective optimization of the grinding process using segmented grinding wheel by Taguchi-Dear method, EUREKA: Phys. Eng. (1) 67–77, (2021). https://doi.org/10.21303/2461-4262.2021.001612
Phuong, N.T., Giang, N.T.P., Dong, N.T.: A research on the affect of technologycal parameters on cutting temperature when machining use segmented grinding wheel. International Journal of Electronics Communication and Computer Engineering 8(3), 208–212 (2017)
Marinescu, L.D., itchiner, M., Uhlmann, E., Rowe, W.B.: Handbook of Machining with Grinding Wheels. CRC Press (2006)
Dean, A., Voss, D. (eds.): Design and Analysis of Experiments. Springer-Verlag, New York (1999). https://doi.org/10.1007/b97673
A. Dean, D. Voss, D. Draguljić, Design and Analysis of Experiments - Second Edition, Springer, 2007
Khoi, P.B., Trung, D.D., Cuong, N., Man, N.D.: Research on optimization of plunge centerless grinding process using genetic algorithm and response surface method. Int. J. Sci. Eng. Technol. 4(3), 207–211 (2015). https://doi.org/10.17950/ijset/v4s3/319
Saravanan, R., Sachithanandam, M.: Genetic algorithm (GA) for multivariable surface grinding process optimisation using a multi – objective function model. Int. J. Adv. Manuf. Technol. 17, 330–338 (2001). https://doi.org/10.1007/s001700170167
Trung, D.D., Cuong, N., Man, N.D., Tuan, N.Q., Khoi, P.B.: Multi-objective optimization of centerless grinding process for 20X– carbon infiltration steel by genetic and generalized reduced gradient algorithms. Am. J. Eng. Res. 6(1), 91–96 (2017)
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This work was supported by Thai Nguyen University of Technology.
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Trung, D.D., Tuan, N.A., Lam, P.D., Ha, L.D., Thao, L.T.P. (2022). Influence of Cutting Parameters on Surface Roughness When Surface Grinding C250 with Segmented. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2021. Lecture Notes in Networks and Systems, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-030-92574-1_52
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