The shearing action of solid particle during its oblique impact on ductile target material is known to be one of the most dominant mechanisms of material removal in erosion. In this work, the shear energy, which absorbed in the target material, was analyzed using numerical model of rigid ellipsoid particles impact at ductile fully-plastic target. The effect of particle shape, impingement angle, angular velocity and orientation on the extent of the shear energy per unit area was examined. It was noticed that backward rotating particles with a long shape produce very high shear energy at low impingement angles (typically under 30). The high shear energy is due to scooping mechanism, i.e. the particles rotate backward during the impact and detach with their leading tip facing upwards. This enables larger contact surface, which slides on the eroded face of the target material and thus increase the shear energy. It was noticed that for particles with no initial rotation or initial forward rotation, the scooping mechanism does not take place. Also, particles which are more spherical have less tendency to scoop due to lower moment which is exerted on them during the impact. These findings agree with experimental data, which shows higher erosion rate for backward rotating particles, and offer a reasonable mechanistic cause to this observation. Moreover, the ascent in the shear energy with the particle sharpness and their higher tendency for scooping, present additional explanation for the well-known phenomena of sharp particle which erode more severely than spherical particles. (C) 2016 Elsevier B.V. All rights reserved.
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Ryerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, CanadaRyerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, Canada
Hadavi, V.
Arani, N. H.
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Ryerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, CanadaRyerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, Canada
Arani, N. H.
Papini, M.
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Ryerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, CanadaRyerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, Canada
机构:
Univ Newcastle, Fac Engn & Built Environm, Callaghan, NSW 2308, AustraliaUniv Newcastle, Fac Engn & Built Environm, Callaghan, NSW 2308, Australia
Cenna, A. A.
Williams, K. C.
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Univ Newcastle, Fac Engn & Built Environm, Callaghan, NSW 2308, Australia
Univ Newcastle, Fac Engn & Built Environm, Ctr Bulk Solids & Particulate Technol, Callaghan, NSW 2308, AustraliaUniv Newcastle, Fac Engn & Built Environm, Callaghan, NSW 2308, Australia
Williams, K. C.
Jones, M. G.
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Univ Newcastle, Fac Engn & Built Environm, Callaghan, NSW 2308, Australia
Univ Newcastle, Fac Engn & Built Environm, Ctr Bulk Solids & Particulate Technol, Callaghan, NSW 2308, AustraliaUniv Newcastle, Fac Engn & Built Environm, Callaghan, NSW 2308, Australia
机构:
Fracture and Reliability Research Institute, Graduate School of Engineering, Tohoku University, Aoba-ku, SendaiFracture and Reliability Research Institute, Graduate School of Engineering, Tohoku University, Aoba-ku, Sendai
Ikuta Y.
Saito H.
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Fracture and Reliability Research Institute, Graduate School of Engineering, Tohoku University, Aoba-ku, SendaiFracture and Reliability Research Institute, Graduate School of Engineering, Tohoku University, Aoba-ku, Sendai
Saito H.
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Ichikawa Y.
Ogawa K.
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Fracture and Reliability Research Institute, Graduate School of Engineering, Tohoku University, Aoba-ku, SendaiFracture and Reliability Research Institute, Graduate School of Engineering, Tohoku University, Aoba-ku, Sendai
Ogawa K.
Ota Y.
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IHI Technology & Intelligence Integration, Technology Platform Center, Shin-Nakahara-cho, Isogo-ku, YokohamaFracture and Reliability Research Institute, Graduate School of Engineering, Tohoku University, Aoba-ku, Sendai
Ota Y.
Sakakibara Y.
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IHI Technology & Intelligence Integration, Technology Platform Center, Shin-Nakahara-cho, Isogo-ku, YokohamaFracture and Reliability Research Institute, Graduate School of Engineering, Tohoku University, Aoba-ku, Sendai