Abstract
The surface topography has an important influence on the SCC behavior of stainless steel. Pre-stress grinding has the potential to improve the SCC resistance of the surface. Therefore, theoretical and experimental studies ought to be carried out to explore the improvement effect of pre-stress grinding on topography. Aiming to consider the influence of deformation effect on surface topography, the grinding force, and heat model considering the properties of stainless steel material and grinding wheel was established at the beginning. Then, to make the simulation more accurate, the grains’ position with random distribution, the bulge height obeying non-Gaussian distribution, and possessing autocorrelation length were expressed, respectively; finally, the surface topography model considering deformation and plow effect in pre-stress grinding was established, and experimental tests were conducted for the model validation. The simulation results showed good agreement with the experimental results. The results suggest that appropriate pre-stress could flatter the ground surface and decrease the amount of grinding surface defects, such as grinding areas, indentations, and deep grooves. With the increase of pre-stress, Ra, Rz, and aspect ratio of grooves tend to fall, which are conducive to improving the SCC resistance of the surface. The mechanism of the improvement introduced by pre-stress may be that pre-stress improves the rigidity of the grinding surface and reduces the thermal deformation during the grinding process, which makes the material easy to be cut and reduces the probability of surface defects; the spring-back effect after pre-stress release would further close the minor defects on the surface, and further improve the surface corrosion resistance.
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References
Ghosh S, Kain V (2010a) Effect of surface machining and cold working on the ambient temperature chloride stress corrosion cracking susceptibility of AISI 304L stainless steel. Mater Sci Eng A 527(3):679–683
Ghosh S, Kain V (2010b) Microstructural changes in AISI 304L stainless steel due to surface machining: effect on its susceptibility to chloride stress corrosion cracking. J Nucl Mater 403(1-3):62–67
Ghosh S, Rana VPS, Kain V, Mittal V, Baveja S (2011) Role of residual stresses induced by industrial fabrication on stress corrosion cracking susceptibility of austenitic stainless steel. Mater Des 32(7):3823–3831
Zhou N, Pettersson R, Peng RL, Schönning M (2016) Effect of surface grinding on chloride induced SCC of 304L. Mater Sci Eng, A 658:50–59
Lu J, Luo K, Yang D, Cheng X, Hu J, Dai F, Qi H, Zhang L, Zhong J, Wang Q et al (2012) Effects of laser peening on stress corrosion cracking (SCC) of ANSI 304 austenitic stainless steel. Corros Sci 60:145–152
Wei X, Zhang C, Ling X (2017) Effects of laser shock processing on corrosion resistance of AISI 304 stainless steel in acid chloride solution. J Alloy Compd 723:237–242
Wang Y, Xiu S, Sun C (2017) Study on surface topography of workpiece in prestress dry grinding. Int J Adv Manuf Technol 92(5):2043–2053
Zhou N, Pettersson R, Schönning M, Peng RL (2018) Influence of surface grinding on corrosion behavior of ferritic stainless steels in boiling magnesium chloride solution. Mater Corros 69(11):1560–1571
Lee SM, Lee WG, Kim YH, Jang H (2012) Surface roughness and the corrosion resistance of 21Cr ferritic stainless steel. Corros Sci 63:404–409
Zuo Y, Wang H, Xiong J (2002) The aspect ratio of surface grooves and metastable pitting of stainless steel. Corros Sci 44(1):25–35
Liu R, Wang S, Wei C, Yan M, Qiao Y (2019) Microstructure and corrosion behavior of low temperature carburized AISI 304 stainless steel. Mater Res Express 6(6):066417
Jiang J, Ge P, Bi W, Zhang L, Wang D, Zhang Y (2013) 2D/3D ground surface topography modeling considering dressing and wear effects in grinding process. Int J Mach Tools Manuf 74:29–40
Jiang J, Ge P, Sun S, Wang D, Wang Y, Yang Y (2016) From the microscopic interaction mechanism to the grinding temperature field: an integrated modelling on the grinding process. Int J Mach Tools Manuf 110:27–42
Hou ZB, Komanduri R (2003) On the mechanics of the grinding process–part I. Stochastic nature of the grinding process. Int J Mach Tools Manuf 43(15):1579–1593
Hecker RL, Ramoneda IM, Liang SY (2003) Analysis of wheel topography and grit force for grinding process modeling. J Manuf Process 5(1):13–23
Park HW, Liang SY (2009) Force modeling of microscale grinding process incorporating thermal effects. Int J Adv Manuf Technol 44(5):476–486
Basuray P, Misra B, Lal G (1977) Transition from ploughing to cutting during machining with blunt tools. Wear 43(3):341–349
Xiu S, Deng Y, Kong X (2019) Effects of stress on phase transformations in grinding by FE modeling and experimental approaches. Materials 12(14):2327
Batako A, Rowe W, Morgan M (2005) Temperature measurement in high efficiency deep grinding. Int J Mach Tools Manuf 45(11):1231–1245
Hadad M, Sadeghi B (2012) Thermal analysis of minimum quantity lubrication-MQL grinding process. Int J Mach Tools Manuf 63:1–15
Rowe WB (2001) Thermal analysis of high efficiency deep grinding. Int J Mach Tools Manuf 41(1):1–19
Rowe W, Black S, Mills B, Morgan M, Qi H (1997) Grinding temperatures and energy partitioning. Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences 453(1960):1083–1104
Shuailing L, Feng J (2019) Modeling of heat source in grinding zone and numerical simulation for grinding temperature field. Int J Adv Manuf Technol 103(5–8):3077–3086
Zhou X, Xi F (2002) Modeling and predicting surface roughness of the grinding process. Int J Mach Tools Manuf 42(8):969–977
Liu Y, Warkentin A, Bauer R, Gong Y (2013) Investigation of different grain shapes and dressing to predict surface roughness in grinding using kinematic simulations. Precis Eng 37(3):758–764
Chilamakuri SK, Bhushan B (1998) Contact analysis of non-Gaussian random surfaces. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 212(1):19–32
Hill I, Hill R, Holder R (1976) Algorithm AS 99: fitting Johnson curves by moments. J Roy Stat Soc: Ser C (Appl Stat) 25(2):180–189
Gao T, Li C, Yang M, Zhang Y, Jia D, Ding W, Debnath S, Yu T, Said Z, Wang J (2021) Mechanics analysis and predictive force models for the single-diamond grain grinding of carbon fiber reinforced polymers using CNT nano-lubricant. J Mater Process Technol 290:116976
Hou ZZ, Xiu SC, Wang YS, Yao Yi. Numerical simulation on corrosion resistance of pre-stress grinding surface of stainless steel. Journal of Northeastern University (Natural Science) 42(7):972
Chen HF, Tang JY, Zhu C (2018) A new approach to modeling the surface topography in grinding considering ploughing action. Mach Sci Technol 22(4):604–620
Nguyen T, Butler D (2005) Simulation of surface grinding process, part 2: interaction of the abrasive grain with the workpiece. Int J Mach Tools Manuf 45(11):1329–1336
Zhou N, Peng RL, Pettersson R (2017a) Surface characterization of austenitic stainless steel 304L after different grinding operations. Int J Mech Mater Eng 12(1):1–14
Zhang Y, Li C, Jia D, Zhang D, Zhang X (2015) Experimental evaluation of the lubrication performance of MoS2/CNT nanofluid for minimal quantity lubrication in Ni-based alloy grinding. Int J Mach Tools Manuf 99:19–33
Zhou N, Peng RL, Schönning M, Pettersson R (2017b) SCC of 2304 duplex stainless steel–microstructure, residual stress and surface grinding effects. Materials 10(3):221
Totten GE (2002) Handbook of residual stress and deformation of steel. ASM International
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This project is supported by the National Natural Science Foundation of China (Grant No. 52175383 and Grant No. 51775101).
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Hou, Z., Xiu, S., Yao, Y. et al. The study of the improvement and mechanisms on ASS surface topography in pre-stress grinding considering SCC. Int J Adv Manuf Technol 121, 7733–7748 (2022). https://doi.org/10.1007/s00170-022-09778-w
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DOI: https://doi.org/10.1007/s00170-022-09778-w