Multiscale Modeling of Transport Phenomena and Dendritic Growth in Laser Cladding Processes

Tan, Wenda; Wen, Shaoyi; Bailey, Neil S.; Shin, Yung C.

doi:10.1007/s11663-011-9545-y

Cited by 42 publications

(13 citation statements)

References 39 publications

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“…This means that during deposition, a significant portion of the heat input supplied by the laser heat source is rapidly transferred to the base material, and the difference between the decreasing slopes of each solidification parameter reflects the effect of heat accumulation for each layer of the deposit due to repeated heat input. As shown in Figure 5b, G × R was in the range of 1 × 10 3 to 2.5 × 10 3 • C/s, which agrees with the results of other studies [15,27,28].…”

Section: Yousupporting

confidence: 91%

Numerical and Experimental Investigations of Laser Metal Deposition (LMD) Using STS 316L

Park

Kim

et al. 2020

Applied Sciences

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This study aimed to understand the effect of heat accumulation on microstructure formation on STS 316L during multilayer deposition by a laser metal deposition (LMD) process and to predict the microstructure morphology. A comprehensive experimental and numerical study was conducted to quantify the solidification parameters (temperature gradient (G) and growth rate (R)) in the LMD multilayer deposition process. During deposition, the temperature profile at a fixed point in the deposit was measured to validate the numerical model, and then the solidification parameters were quantified using the model. Simultaneously, the microstructure of the deposit was investigated to confirm the microstructure morphology. Then, a relationship between the microstructure morphology and the G/R was proposed using a solidification map. The findings of this study can guide the design of scanning paths to produce deposits with a uniform structure.

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Section: Yousupporting

confidence: 91%

Numerical and Experimental Investigations of Laser Metal Deposition (LMD) Using STS 316L

Park

Kim

et al. 2020

Applied Sciences

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“…The accurate simulation of the dendrite with random preferential orientations is the basic requirement for the following investigation of the competitive grain growth. The capturing algorithm [7,25] applied in the present paper is shown in Fig. 2.…”

Section: The Ca Model For Weld Solidification Structurementioning

confidence: 99%

“…Zhan [4,5] and Pavlyk [6] simulated the dendrite morphology during the gas tungsten arc welding (GTAW) by the CA method. Tan [7][8][9] developed a two-dimensional CA-PF model to simulate the dendrite growth, and a further study on the growth of grains and sub-grain dendrites was also performed during the laser keyhole welding. Chen [10] proposed a coupled CA-FE model to simulate the grain structure during GTAW.…”

Section: Introductionmentioning

confidence: 99%

Macro-micro modeling and simulation for the morphological evolution of the solidification structures in the entire weld

Han

2017

International Journal of Heat and Mass Transfer

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The heat and mass transfer and the morphological evolution of the various weld solidification structures for the entire weld were simulated by the macro-micro coupled model which combined the welding process and the solidification structures in the molten pool. The weld profile were calculated for different welding conditions, and the effects of the welding parameters on the solidification conditions were analyzed along the trailing pool boundary. The formation mechanism of the axial structure and the equiaxed grains in the weld were studied by the developed model. The results indicate that the temperature gradient G, solidification rate Rw, and the ratio G/Rw along the trailing pool boundary are related with the location in the weld and the welding parameters. When the weld solidification structure is only consisted with the epitaxial columnar grains from the fusion boundary, the axial structure forms in the central region of the weld at low welding speeds owing to the anisotropic kinetics of the columnar grains. When the heterogeneous nucleation occurs in the molten pool, the weld structure is directly determined by the competitive growth between the columnar and new nucleated grains. At low welding speeds, the preferential orientations of the survival grains get closer to the welding direction with the decrease of the distance to the weld center.

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“…Therefore, the half length of the square diagonal Ldia is updated as follows [9,35,36]: The magnitude of V n is determined as follows [7]:…”

Section: Ca Modelmentioning

confidence: 99%

Development of a CA-FVM Model with Weakened Mesh Anisotropy and Application to Fe–C Alloy

2016

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Abstract:In order to match the growth of the decentered square and the evolution of the interface cell in a two-dimensional cellular automaton-finite volume method (CA-FVM) model with decentered square algorithm, the present work first alters the determination of the half length of the square diagonal according to the preferential growth orientation, and then modifies the interface evolution considering the contribution of neighboring solid cells. Accordingly, the sharp interface (physical basis of the model), the growth orientation, and the growth consistence are reasonably guaranteed. The CA-FVM model presents some capabilities in predicting the free growth of equiaxed dendrites. With the increase of the cooling rate, the solidification structure gradually changes from cell to dendrite, and the solute segregation becomes more severe. Meanwhile, the predicted solute segregation under the intensive cooling condition is consistent with the calculation by Ueshima model at the initial solidification stage. The predicted competition behavior of columnar dendrites is qualitatively consistent with the observation in the continuously cast steel billet. The predicted dendrite arm spacings are close to the measurements.

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Multiscale Modeling of Transport Phenomena and Dendritic Growth in Laser Cladding Processes

Cited by 42 publications

References 39 publications

Numerical and Experimental Investigations of Laser Metal Deposition (LMD) Using STS 316L

Numerical and Experimental Investigations of Laser Metal Deposition (LMD) Using STS 316L

Macro-micro modeling and simulation for the morphological evolution of the solidification structures in the entire weld

Development of a CA-FVM Model with Weakened Mesh Anisotropy and Application to Fe–C Alloy

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