Process parameter selection for selective laser melting of Ti6Al4V based on temperature distribution simulation and experimental sintering
By B. Song, S. Dong, H. Liao, Christian Coddet. 2012
208 citations recorded by the source corpus.
Subfields: Automotive Engineering, Materials Chemistry, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/b3934b77db3493e1bd99fece263b5862de53b74d
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
- Chris Davies
- Dimitrios Chantzis
- Miguel Cervera
- Mostafa Yakout
- J. Moya
- Zhuoer Chen
- Caroline Lee
- R. Xu
In Materials Chemistry
In Mechanical Engineering
- M. Elbestawi
- Chris Davies
- Dimitrios Chantzis
- Miguel Cervera
- Mostafa Yakout
- J. Moya
- Zhuoer Chen
- Caroline Lee
Citations in the corpus
- Simulation of metallic powder bed additive manufacturing processes with the finite element method: A critical review (2017, methodology): “The conductivity for the intermediate temperature points is calculated with linear interpolation.(41) The powder’s effective thermal conductivity is calculated in relation to the solid thermal conductivity according to theoretical models, which take into account the porosity and the thermal conducti”
- A Review of Metal Additive Manufacturing Technologies (2018, background): “Moreover, few studies were performed to find the optimum SLM process parameters for fabricating TiAl6V4 parts suitable for the aerospace industry [80, 81].”
- The influence of scan length on fabricating thin-walled components in selective laser melting (2018, methodology): “Hussein et al. [4] have optimised the SLM process parameters to meet the special functional requirement by developing a 3D non-linear transient FEM model, which was developed by ANSYS parametric design langu ge (APDL).”
- Numerical modelling and experimental validation in Selective Laser Melting (2017, methodology): “FE modelling has been mainly employed to assess the influence of process parameters [30, 38, 46] and to evaluate distortions and residual stresses [9, 13, 16, 23, 34].”