Prediction of melt pool depth and dilution in laser powder deposition

By A. Fathi, Ehsan Toyserkani, Amir Khajepour, Mohammad Durali. 2006

158 citations recorded by the source corpus.

Subfields: Computational Mechanics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/fd9274d759f24cefec3f38b2f764b53485bdf707

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Philippe Le Masson
2. M. Carin
3. P. Peyre
4. R. Fabbro
5. Allison M. Beese

In Mechanical Engineering

1. Allison M. Beese
2. Philippe Le Masson
3. M. Carin
4. P. Peyre
5. R. Fabbro

Citations in the corpus

• 2D longitudinal modeling of heat transfer and fluid flow during multilayered direct laser metal deposition process (2012, result): “The calculated m lt pool behavior regarding to process parameters is also consistent with literatu re data ([2][21]).”
• Advances in additive manufacturing of metal-based functionally graded materials (2020, background): “In addition to these qualitative observations, substantial advances in modelling have been made to establish more comprehensive mathematical relationships between dilution and laser deposition process parameters [173].”
• Influence of various process conditions on surface finishes induced by the direct metal deposition laser technique on a Ti-6Al-4V alloy (2013, methodology): “To confirm experimental correlations between melt-pool geometriesandlateralmenisci,ananalyticalmodelwasdeveloped, with an analytical description for every melt-pool, considering a similar approach than Fathi et al. (2006).”