Heat transfer and fluid flow in additive manufacturing
By A. Raghavan, H. Wei, T. Palmer, T. DebRoy. 2013
141 citations recorded by the source corpus.
Subfields: Automotive Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/a753755ddc41707b4193cb3699cc4a9d04a3ba62
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- T. Mukherjee
- T. DebRoy
- Nima Shamsaei
- Amitava De
- Wei Zhang
- Aref Yadollahi
- Scott M. Thompson
- V. Manvatkar
In Mechanical Engineering
- T. DebRoy
- T. Mukherjee
- Nima Shamsaei
- Amitava De
- Wei Zhang
- Aref Yadollahi
- V. Manvatkar
- Scott M. Thompson
Citations in the corpus
- An improved prediction of residual stresses and distortion in additive manufacturing (2017, background): “The resulting Marangoni stress can be expressed as [19]:”
- Spatial variation of melt pool geometry, peak temperature and solidification parameters during laser assisted additive manufacturing process (2015, methodology): “Raghavan et al.21 adapted a computationally efficient three-dimensional heat transfer and fluid flow model for welding to examine the effect of process parameters on the melt pool geometry and solidification parameters in additive manufacturing.”
- Laser polishing of selective laser melted components (2015, background): “This increase in track width can be attributed to an optimal melt pool velocity, which helps effective heat transfer from the beam center to the periphery [28].”
- An overview of Direct Laser Deposition for additive manufacturing; Part I: Transport phenomena, modeling and diagnostics (2015, background): “[38] demonstrated that the aerial rofile of the melt pool alone is not an indicator of overall morpholgy, as the depth and overall volume, can be significantly different.”
- Numerical modeling of heat-transfer and the influence of process parameters on tailoring the grain morphology of IN718 in electron beam additive manufacturing ☆ (2016, unknown): “However, by using numerical simulation of heat transfer and fluid flow, Raghavan et al. [14] showed that molten pools with similar top surface temperatures can have significantly different subsurface shapes, resulting in different cooling rates at different locations across the melt pool…”