Dendrite growth simulation during solidification in the LENS process
By Hebi Yin, S. Felicelli. 2010
218 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Materials Chemistry, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/3266f89c114c7a246c520dfd08c7afc5cbf7e091
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- T. DebRoy
- T. Mukherjee
- H. Wei
- Gerald L. Knapp
- Swee Leong Sing
- J. Elmer
- W. Y. Yeong
- Joel Heang Kuan Tan
In Materials Chemistry
- T. Mukherjee
- T. DebRoy
- H. Wei
- Gerald L. Knapp
- Swee Leong Sing
- W. Y. Yeong
- Joel Heang Kuan Tan
- J. Elmer
In Mechanical Engineering
Citations in the corpus
- Microstructure and Mechanical Properties of AISI 316L Produced by Directed Energy Deposition-Based Additive Manufacturing: A Review (2020, background): “Subsequently, several research studies have been conducted to investigate the correlation between the cooling rate (ε) and PCAS (λ), and outcomes reveal a linear relationship between logλ and logε [62,63].”
- Building blocks for a digital twin of additive manufacturing (2017, background): “The average magnitude of SDAS of powder-blown AM stainless steel components can be represented as [36], l 1⁄4 50ðGRÞ 0:4 (20)”
- An investigation on the effect of deposition pattern on the microstructure, mechanical properties and residual stress of 316L produced by Directed Energy Deposition (2020, methodology): “[52] reported that the cooling rate during the solidification is the main affecting parameter on the PCAS value and this relationship can be quantified through the following equation:”
- An investigation on the effect of powder recycling on the microstructure and mechanical properties of AISI 316L produced by Directed Energy Deposition (2019, background): “According to literature, the major affecting factor on PCAS is the cooling rate during solidification [26,27], and the following equation is the most significant relationship between these two parameters:”
- Additive manufacturing of metallic components – Process, structure and properties (2018, methodology): “First, cooling rates from the liquidus to solidus temperature are often used for determining the features of solidification microstructure such as cells and dendrites [149].”
- Microstructure modelling for metallic additive manufacturing: a review (2020, methodology): “CA was developed for casting and has been adapted for welding and laser cladding (Rappaz and Gandin 1993; Zhan et al. 2008; Yin and Felicelli 2010; Wang et al. 2014).”