Simulation of temperature distribution in single metallic powder layer for laser micro-sintering
By Jie Yin, Haihong Zhu, L. Ke, W. Lei, C. Dai, D. Zuo. 2012
190 citations recorded by the source corpus.
Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/2b8b98630c4151985fcbad6b509253b168b4e6bf
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
- Konstantinos Salonitis
- Dimitrios Chantzis
- Babis Schoinochoritis
- Yali Li
- Chris Davies
- Miguel Cervera
- J. Moya
- Zhuoer Chen
In Industrial and Manufacturing Engineering
In Mechanical Engineering
- Konstantinos Salonitis
- Dimitrios Chantzis
- Babis Schoinochoritis
- Yali Li
- Chris Davies
- Miguel Cervera
- J. Moya
- Zhuoer Chen
Citations in the corpus
- Parametric analysis of thermal behavior during selective laser melting additive manufacturing of aluminum alloy powder (2014, background): “The distribution of the laser intensity followed nearly a Gaussian relationship, which was mathematically presented as [24]:”
- Simulation of metallic powder bed additive manufacturing processes with the finite element method: A critical review (2017, background): “The increase of the laser beam diameter, in SLS, causes the melt pool length and width to decrease.42,50 However, the decrease rate of the two values is not the same, with the width to be decreasing more rapidly, according to Yin et al.42 The increase of the initial powder porosity leads to increase”
- Finite element simulation of the temperature and stress fields in single layers built without-support in selective laser melting (2013, unknown): “[10], Ibraheem et al.”
- Measurement Science Needs for Real-time Control of Additive Manufacturing Powder Bed Fusion Processes (2015, unknown): “some cross-section distance is given [119], [138]–[140].”
- Numerical modelling and experimental validation in Selective Laser Melting (2017, methodology): “In this sense, thermal modelling, apart from being an input for the mechanical analysis, is fundamental to characterise the melt pool and the microstructure in an AM process [20, 25, 33, 41] and also guides the selection of the printing process parameters in engineering design [26, 32, 44].”