The mechanisms of solid particle erosion of several pure metals and steels at low impact angle were studied comprehensively by SEM observations of the worn surface,wear debris analysis, subsurface hardness measurement...The mechanisms of solid particle erosion of several pure metals and steels at low impact angle were studied comprehensively by SEM observations of the worn surface,wear debris analysis, subsurface hardness measurements,incremental erosion tests and sequential erosion study techniques. It was found that at the beginning of erosion,craters and lips were formed on the surfaces of ductile metals due to the deformation caused by the impacting of the particles. The deformed lips were then forged back and forth again and again in erosion process. As a result , small chips of deformed lips were stripped off continuously in the process. All of the evidences show that the erosion mechanisms are encompassed mainly by the process of plastic deformation,lip formation and spelling with ductile metals,while microcutting is more easy to occur with hardened steels.展开更多
A shear impact energy model （SIEM） of erosion suitable for both dilute and dense particle flows is pro- posed based on the shear impact energy of particles in discrete element method （DEM） simulations. A number of...A shear impact energy model （SIEM） of erosion suitable for both dilute and dense particle flows is pro- posed based on the shear impact energy of particles in discrete element method （DEM） simulations. A number of DEM simulations are performed to determine the relationship between the shear impact energy predicted by the DEM model and the theoretical erosion energy. Simulation results show that nearly one-quarter of the shear impact energy will be converted to erosion during an impingement. According to the ratio of the shear impact energy to the erosion energy, it is feasible to predict erosion from the shear impact energy, which can be accumulated at each time step for each impingement during the DEM simulation. The total erosion of the target surface can be obtained by summing the volume of material removed from each impingement. The proposed erosion model is validated against experiment and results show that the SIEM combined with DEM accurately predicts abrasive erosions.展开更多
文摘The mechanisms of solid particle erosion of several pure metals and steels at low impact angle were studied comprehensively by SEM observations of the worn surface,wear debris analysis, subsurface hardness measurements,incremental erosion tests and sequential erosion study techniques. It was found that at the beginning of erosion,craters and lips were formed on the surfaces of ductile metals due to the deformation caused by the impacting of the particles. The deformed lips were then forged back and forth again and again in erosion process. As a result , small chips of deformed lips were stripped off continuously in the process. All of the evidences show that the erosion mechanisms are encompassed mainly by the process of plastic deformation,lip formation and spelling with ductile metals,while microcutting is more easy to occur with hardened steels.
文摘A shear impact energy model （SIEM） of erosion suitable for both dilute and dense particle flows is pro- posed based on the shear impact energy of particles in discrete element method （DEM） simulations. A number of DEM simulations are performed to determine the relationship between the shear impact energy predicted by the DEM model and the theoretical erosion energy. Simulation results show that nearly one-quarter of the shear impact energy will be converted to erosion during an impingement. According to the ratio of the shear impact energy to the erosion energy, it is feasible to predict erosion from the shear impact energy, which can be accumulated at each time step for each impingement during the DEM simulation. The total erosion of the target surface can be obtained by summing the volume of material removed from each impingement. The proposed erosion model is validated against experiment and results show that the SIEM combined with DEM accurately predicts abrasive erosions.
