Multi-scale modeling of electron beam melting of functionally graded materials

By Wentao Yan, W. Ge, Jacob Smith, Stephen Lin, O. Kafka, F. Lin, Wing Kam Liu. 2016

149 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/a535cdf549c3a84c9d461f27cdfdae22190ecd95

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

1. Zhengtao Gan
2. N. Gao
3. Xiuli He
4. Shaoxia Li
5. G. Yu

In Automotive Engineering

1. Paul Boulware
2. S. M. Yusuf
3. Zhengtao Gan
4. S. Kelly
5. Y. P. Yang
6. N. Gao
7. M. Jamshidinia

In Mechanical Engineering

1. Paul Boulware
2. S. M. Yusuf
3. Hao Liu
4. Zhengtao Gan
5. S. Kelly
6. Y. P. Yang
7. N. Gao
8. Xiuli He

Citations in the corpus

• Influence of energy density on metallurgy and properties in metal additive manufacturing (2017, methodology): “In EBM, the acceleration voltage, U, and current, I of the electron beam are taken into consideration for the P term, thusmodifying the energy density, E2, as: [24,72]”
• Prediction of microstructure, residual stress, and deformation in laser powder bed fusion process (2018, methodology): “If microstructure, residual stress, and distortion are all of interest, multiscale modeling approach [29] would be used in which local models are used to predict microstructure and hardness and a global model is used to predict residual stress and distortion.”
• Modeling of thermal behavior and mass transport in multi-layer laser additive manufacturing of Ni-based alloy on cast iron (2017, background): “Laser powder blown additive manufacturing is an advanced manufacturing process for near-net-shapematerials, even functionally graded materials (FGMs), in aviation, aerospace, automobile, and other industries [1,2].”
• Mechanism of keyhole pore formation in metal additive manufacturing (2021, background): “Metal additive manufacturing (AM) is well known for its ability to fabricate complex-shaped parts without special tooling [1] and functionally graded parts [2], shorten the development cycle of products [3], and save the cost of the material [4].”