It is necessary to improve the surface performance of bearing rings and extend the service life of bearings. In this study, ultrasonic vibration-assisted grinding (UVAG) was applied to process GCr15SiMn bearing steel, considering the effects of grinding-wheel wear, overlap of abrasive motion tracks under ultrasonic conditions, elastic yield of abrasives, and elastic recovery of the workpiece on the machined surface. In addition, a novel mathematical model was established to predict surface roughness (Ra). The proposed model was validated experimentally, and the predicted and experimental results showed similar trends under various processing parameters, with both within an error range of 12%-20%. The relationships between the machining parameters and Ra for the two grinding methods were further investigated. The results showed that increases in the grinding speed and ultrasonic amplitude resulted in a decrease in Ra, whereas increases in the grinding depth and workpiece speed resulted in an increase in Ra. Furthermore, the Ra values obtained using the UVAG method were lower than those of conventional grinding (CG). Finally, the influence of ultrasonic vibration on the surface topography was investigated. Severe tearing occurred on the CG surface, whereas no evident defects were observed on the ultrasonically machined surface. The surface quality was improved by increasing the ultrasonic amplitude such that it did not exceed 4 μm, and a further increase in ultrasonic amplitude deteriorated the surface topography. Nevertheless, this improvement was superior to that of the CG surface and was consistent with the variation in Ra.
The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-024-00522-z
Xiao-Fei Lei
,
Wen-Feng Ding
,
Biao Zhao
,
Dao-Hui Xiang
,
Zi-Ang Liu
,
Chuan Qian
,
Qi Liu
,
Dong-Dong Xu
,
Yan-Jun Zhao
,
Jian-Hui Zhu
. Surface roughness model of ultrasonic vibration-assisted grinding GCr15SiMn bearing steel and surface topography evaluation[J]. Advances in Manufacturing, 2025
, 13(1)
: 88
-104
.
DOI: 10.1007/s40436-024-00522-z
[1] Wang YQ, Shen CM, Zhu ZY (2012) Study on the structure and properties of GCr15SiMn bearing steel. Hot Work Process 41(24):121-123
[2] Zhang D, Liu YZ, Zhou LY et al (2014) Dynamic recrystallization behavior of GCr15SiMn bearing steel during hot deformation. J Iron Steel Res Int 21(11):1042-1048
[3] Chen XM, Wang HQ, Zhai YT et al (2021) Wear failure analysis of GCr15SiMn rolling bearing steel. Hot Work Process 50(16):159-162
[4] Song TJ, Zhou ZX, Li W et al (2017) Research on surface roughness model of hard alloy end mill spiral groove grinding. J Mech Eng 53(17):185-192
[5] Li X, Guan CM, Zhao P (2018) Influences of milling and grinding on machined surface roughness and fatigue behavior of GH4169 superalloy workpieces. Chin J Aeronaut 31(6):1399-1405
[6] Chen X, Wang D, Liu YF (2018) Research on the Effect of high-speed grinding on the surface integrity of 18CrNiMo7-6. Surf Technol 47(9):259-265
[7] Zhang HH, Wang ZH, Liu YW et al (2020) Effect of grinding surface roughness on bending strength of γ-TiAl. Tool Technol 54(1):51-54
[8] Vicen M, Bokuvka O, Nikolić RR et al (2021) Influence of the surface roughness of the C55 steel on its tribological properties after application of the WC/C coating. Transp Res Procedia 55:490-495
[9] Li T, Zhang WH, Liu P (2022) Optimization analysis of surface roughness prediction for Ti-6Al-4V turning with VP15TF hard alloy tool. Tool Technol 56(7):138-143
[10] Wang S, Li CH, Zhang DK et al (2014) Modeling the operation of a common grinding wheel with nanoparticle jet flow minimal quantity lubrication. Int J Adv Manuf Technol 74:835-850
[11] Zhao B, Lei XF, Chen T et al (2023) Simulation and intelligent control of grinding processes for difficult to machine materials in aerospace. Diamond Abras Eng 43(2):127-143
[12] Zhao B, Ding WF, Shan ZD et al (2023) Collaborative manufacturing technologies of structure shape and surface integrity for complex thin-walled components: status, challenge and tendency. Chin J Aeronaut 36(7):1-24
[13] Kang KY, Yu GY, Yang WP et al (2023) Creep feed grinding burn experiment of DD9 nickel based single crystal high-temperature alloy. Diamond Abras Eng 43(3):355-363
[14] Xiao GJ, Liu XT, Song KK et al (2024) Research on robotic belt grinding method of blisk for obtaining high surface integrity features with variable inclination angle force control. Robot Comput Integr Manuf 86:102680. https://doi.org/10.1016/j.rcim.2023.102680
[15] Huang Q, Zhao B, Cao Y et al (2022) Experimental study on ultrasonic vibration-assisted grinding of hardened steel using white corundum wheel. Int J Adv Manuf Technol 121(3/4):2243-2255
[16] Zhao B, Wu BF, Yue YS et al (2023) Developing a novel radial ultrasonic vibration-assisted grinding device and evaluating its performance in machining PTMCs. Chin J Aeronaut 36(7):244-256
[17] Cao Y, Ding WF, Zhao B et al (2022) Effect of intermittent cutting behavior on the ultrasonic vibration-assisted grinding performance of Inconel718 nickel-based superalloy. Precis Eng 78:248-260
[18] Bie WB, Zhao B, Chen F et al (2023) Research progress on surface microtexture and service performance prepared by ultrasonic machining. Diamond Abras Eng 43(4):401-416
[19] Jiang JL, Sun SF, Wang DX et al (2020) Surface texture formation mechanism based on the ultrasonic vibration-assisted grinding process. Int J Mach Tool Manuf 156:103595. https://doi.org/10.1016/j.ijmachtools.2020.103595
[20] Liu W, Deng ZH, Shang YY et al (2017) Effects of grinding parameters on surface quality in silicon nitride grinding. Ceram Int 43(1):1571-1577
[21] Zhu CM, Gu P, Wu YY et al (2019) Surface roughness prediction model of SiCp/Al composite in grinding. Int J Mech Sci 155:98-109
[22] Yang ZC, Zhu LD, Ni CB et al (2019) Investigation of surface topography formation mechanism based on abrasive-workpiece contact rate model in tangential ultrasonic vibration-assisted CBN grinding of ZrO2 ceramics. Int J Mech Sci 155:66-82
[23] Wu J, Cheng J, Gao CC et al (2020) Research on predicting model of surface roughness in small-scale grinding of brittle materials considering grinding tool topography. Int J Mech Sci 166:105263. https://doi.org/10.1016/j.ijmecsci.2019.105263
[24] Zhao PY, Zhou M, Liu XL et al (2020) Effect to the surface composition in ultrasonic vibration-assisted grinding of BK7 optical glass. Appl Sci 10(2):10020516. https://doi.org/10.3390/app10020516
[25] Zhou WH, Tang JY, Shao W (2020) Study on surface generation mechanism and roughness distribution in gear profile grinding. Int J Mech Sci 187:105921. https://doi.org/10.1016/j.ijmecsci.2020.105921
[26] Cao Y, Zhao B, Ding WF et al (2021) On the tool wear behavior during ultrasonic vibration-assisted form grinding with alumina wheels. Ceram Int 47(18):26465-26474
[27] Xiao XZ, Li G, Li ZH (2021) Prediction of the surface roughness in ultrasonic vibration-assisted grinding of dental zirconia ceramics based on a single-diamond grit model. Micromachines 12(5):543. https://doi.org/10.3390/mi12050543
[28] Chen Y, Su HH, Qian N et al (2021) Ultrasonic vibration-assisted grinding of silicon carbide ceramics based on actual amplitude measurement: grinding force and surface quality. Ceram Int 47(11):15433-15441
[29] Zhu CM, Tao Z, Gu P et al (2022) Research on ultrasonic-assisted grinding process of SiCp/Al composites. J Phys: Conf Ser 2200(1):012015. https://doi.org/10.1088/1742-6596/2200/1/012015
[30] Yin L, Zhao B, Guo XC et al (2021) Experimental study on ultrasonic assisted internal grinding of 40Cr15Mo2VN bearing rings. Chin J Mech Eng 32(10):1172-1180
[31] Li PT, Xu J, Zuo HF et al (2022) The material removal mechanism and surface characteristics of Ti-6Al-4V alloy processed by longitudinal-torsional ultrasonic-assisted grinding. Int J Adv Manuf Technol 119(11):7889-7902
[32] Ma MY, Xiang DH, Lei XF et al (2023) Experimental study on ultrasonic vibration assisted grinding of GCr15SiMn bearing steel. Proc Inst Mech Eng Part C: J Mech Eng Sci 238(6):2084-2094
[33] Wang Y, Geng S, Cheng ZZ et al (2021) Experimental study of surface generating process in tangential ultrasonic vibration assisted grinding for titanium alloys. Proc Inst Mech Eng Part C: J Mech Eng Sci 235(19):4161-4170
[34] Chen HF, Tang JY, Shao W et al (2018) An investigation on surface functional parameters in ultrasonic-assisted grinding of soft steel. Int J Adv Manuf Technol 97:2697-2702
[35] Agarwal S, Rao PV (2010) Modeling and prediction of surface roughness in ceramic grinding. Int J Mach Tool Manuf 50(12):1065-1076
[36] Yan YY, Yan HZ, Liu JL et al (2023) A force thermal coupling model and experimental sudy on TC4 titanium alloy longitudinal-torsional ultrasonic grinding. Chin J Mech Eng 34(1):65-74
[37] He YH, Wan RQ, Zhou JJ et al (2017) Modeling of surface roughness in axial-ultrasonic vibration grinding of hard and brittle materials. Vib Shock 36(23):194-200
[38] Wang Y, Li DL, Liu JG et al (2018) Prediction and experimental verification of surface morphology of workpiece in axial ultrasonic vibration assisted grinding based on dynamic contour sampling method. Chin J Mech Eng 54(21):221-230
[39] Lei XF, Xiang DH, Peng PC et al (2022) Establishment of dynamic grinding force model for ultrasonic-assisted single abrasive high-speed grinding. J Mater Process Technol 300:117420. https://doi.org/10.1016/j.jmatprotec.2021.117420
