Numerical Simulation on Corrosion Resistance of Pre-stress Grinding Surface of Stainless Steel

doi:10.12068/j.issn.1005-3026.2021.07.010

Abstract

Abstract: In order to explore the evolution mechanism of surface corrosion of pre-stress grinding and the influence of grinding parameters on the corrosion resistance of stainless steel， 304 stainless steel was taken as the research object， a numerical model considering the influence of pre-stress grinding surface topography on the corrosion resistance of stainless steel was established. Firstly， the phase field equation for the corrosion field of rough surfaces was derived. Secondly， the surface topography model of the workpiece of pre-stress grinding was established. Finally， an auto-correlation wheel surface model with non-Gaussian distribution characteristics was built. With all the built models， the corrosion resistance of pre-stressed grinding surfaces was explored. Compared with the existing research results， the conclusions obtained conform to the general law， which verifies the rationality of the proposed method. The results showed that the pre-stress grinding surface has the "polishing effect" in the corrosive environment. As the corrosion time extends， the surface corrosion resistance is enhanced. In the condition of using coolant， appropriately increasing the pre-stress， wheel speed， and reducing feed speed can improve the corrosion resistance of the machined surface. When the pre-stress is a fixed value， the method of optimizing the linear speed and feed speed of the grinding wheel could also be used to further improve the corrosion resistance of the stainless steel workpiece.

Key words: pre-stress grinding; surface topography; corrosion resistance of stainless steel; phase field corrosion model; polishing effect

CLC Number:

TH161⁺.14

HOU Zhuang-zhuang， XIU Shi-chao， WANG Yu-shi， YAO Yun-long. Numerical Simulation on Corrosion Resistance of Pre-stress Grinding Surface of Stainless Steel[J]. Journal of Northeastern University(Natural Science), 2021, 42(7): 972-979.

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