Study on energy input and its influences on single-track,multi-track, and multi-layer in SLM

By Wang Di, Yang Yongqiang, Su Xubin, Chen Yonghua. 2012

216 citations recorded by the source corpus.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/ba260d7a16694e8bd21fd75e20c13b977a86b270

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

1. T. Mukherjee
2. T. DebRoy
3. S. M. Yusuf
4. N. Gao
5. Amitava De
6. H. Wei
7. Wei Zhang
8. Gerald L. Knapp

In Mechanical Engineering

1. T. Mukherjee
2. T. DebRoy
3. S. M. Yusuf
4. N. Gao
5. H. Wei
6. Amitava De
7. Gerald L. Knapp
8. Wei Zhang

Citations in the corpus

• Mitigation of lack of fusion defects in powder bed fusion additive manufacturing (2018, methodology): “7 shows that the experimentally measured [5,15,28,13] lack of fusion void fraction (VE) for three commonly used alloys follows a linear relationship with corresponding LF , which is estimated using Eq.”
• Influence of energy density on metallurgy and properties in metal additive manufacturing (2017, background): “often result in higher yield and tensile strengths [149–151] as well as higher microhardness (HV) values [142,152,153] compared to conventionally manufactured parts.”