Process Maps for Predicting Residual Stress and Melt Pool Size in the Laser-Based Fabrication of Thin-Walled Structures
By A. Vasinonta, Jack L. Beuth, M. Griffith. 2007
188 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computational Mechanics, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/ddca503c19c0915779712449ee7cafe6439dd818
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
In Computational Mechanics
- L. Brandon
- Nikolas Hrabe
- T. Gnäupel-Herold
- T. Mukherjee
- A. Wilson-Heid
- H. Wei
- J. Zuback
- Shaw C. Feng
In Mechanical Engineering
Citations in the corpus
- Measurement Science Needs for Real-time Control of Additive Manufacturing Powder Bed Fusion Processes (2015, methodology): “The thin-wall geometry modeled in [26], [27] (not PBF) showed that melt-pool length decreased with increasing scan speed, though at much lower speeds”
- An improved prediction of residual stresses and distortion in additive manufacturing (2017, background): “These include several two-dimensional models [20,21], or an”
- Hybrid additive and subtractive machine tools – Research and industrial developments (2016, background): “4 begun relating residual stress to thermal gradients, subsequently reducing induced stresses via changes in processing parameters, such as laser power, scanning velocity and preheating of the part [24], [25].”
- Additive manufacturing of metallic components – Process, structure and properties (2018, background): “For example, idealized two-dimensional calculations have been undertaken [87,88], and in some instances, heat sources have been simplified as a line source or double ellipsoid heat source [89] that are contrary to the measured power density distribution data for heat sources.”