Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - An anisotropic enhanced thermal conductivity approach for modelling laser melt pools for Ni-base super alloys
AU - Safdar, Shakeel
AU - Pinkerton, A. J.
AU - Li, Lin
AU - Sheikh, Mohammed
AU - Withers, Philip
PY - 2013/2/1
Y1 - 2013/2/1
N2 - Ni-basesuperalloys are extensively used in high temperature gas turbine engines and energy industries. Due to the high replacement costs of these components, there are huge economic benefits of repairing these components. Laser direct metal deposition processes (LDMD) based on laser cladding, laser fusion welding, and laser surface melting are some of the processes which are used to repair these high value components. Precise control of these processes is important to achieve the desired microstructure, stress distribution, distortions due to thermal stresses and other important output variables. Modelling of these processes is therefore an extremely important activity for achieving any degree of control/optimisation. However, modelling of these processes is not straight-forward due to meltpool flows dominated by Marangoni and buoyancy driven convection. Detailed CFD models are required for accurate prediction of meltpool geometry. But these models are computationally expensive and require greater expertise. To simplify and speed up the modelling process, many researchers have used the isotropic enhancedthermalconductivityapproach to account for meltpool convection. A recent study on mild steel has highlighted that isotropic enhancedthermalconductivityapproach is not able to accurately predict the meltpool geometry. Based on these findings a new approach namely anisotropicenhancedthermalconductivityapproach has been developed. This paper presents an analysis on the effectiveness of the isotropic and anisotropicenhancedthermalconductivityapproaches for laser melting of Inconel 718 using numerical technique. Experimental meltpool geometry has been compared with modelling results. It has been found that the isotropic enhancedthermalconductivityapproach is not able to accurately predict the meltpool geometry, whereas anisotropicenhancedthermalconductivityapproach gives good agreement with the experimental results.
AB - Ni-basesuperalloys are extensively used in high temperature gas turbine engines and energy industries. Due to the high replacement costs of these components, there are huge economic benefits of repairing these components. Laser direct metal deposition processes (LDMD) based on laser cladding, laser fusion welding, and laser surface melting are some of the processes which are used to repair these high value components. Precise control of these processes is important to achieve the desired microstructure, stress distribution, distortions due to thermal stresses and other important output variables. Modelling of these processes is therefore an extremely important activity for achieving any degree of control/optimisation. However, modelling of these processes is not straight-forward due to meltpool flows dominated by Marangoni and buoyancy driven convection. Detailed CFD models are required for accurate prediction of meltpool geometry. But these models are computationally expensive and require greater expertise. To simplify and speed up the modelling process, many researchers have used the isotropic enhancedthermalconductivityapproach to account for meltpool convection. A recent study on mild steel has highlighted that isotropic enhancedthermalconductivityapproach is not able to accurately predict the meltpool geometry. Based on these findings a new approach namely anisotropicenhancedthermalconductivityapproach has been developed. This paper presents an analysis on the effectiveness of the isotropic and anisotropicenhancedthermalconductivityapproaches for laser melting of Inconel 718 using numerical technique. Experimental meltpool geometry has been compared with modelling results. It has been found that the isotropic enhancedthermalconductivityapproach is not able to accurately predict the meltpool geometry, whereas anisotropicenhancedthermalconductivityapproach gives good agreement with the experimental results.
KW - Enhanced thermal conductivity
KW - Melt pool
KW - Marangoni convection
KW - Finite element method
U2 - 10.1016/j.apm.2012.03.028
DO - 10.1016/j.apm.2012.03.028
M3 - Journal article
VL - 37
SP - 1187
EP - 1195
JO - Applied Mathematical Modelling
JF - Applied Mathematical Modelling
SN - 0307-904X
IS - 3
ER -