Laser-assisted machining of hardened steel parts with surface integrity analysis

By Hongtao Ding, Yung C. Shin. 2010

241 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/4d4fcbcb353f5baec9f488f8b7afeaf7e192c618

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. H. S. Payal
2. H. Hamdi
3. Guénaël Germain
4. S. Sidhu
5. W. B. Salem
6. Y. Ayed
7. P. S. Bains

In Mechanical Engineering

1. H. S. Payal
2. H. Hamdi
3. Guénaël Germain
4. S. Sidhu
5. W. B. Salem
6. Y. Ayed
7. P. S. Bains

Citations in the corpus

• Experimental and numerical study of laser-assisted machining of Ti6Al4V titanium alloy (2014, background): “The study done by Ding and Shin [3] proves that there is an improvement in surface roughness and that there is no micro-structural change.”
• Fabrication and Machining of Metal Matrix Composites: A Review (2016, background): “Ding and Shin [138] revealed that residual stresses become more tensile and result in small stress penetration depth while machining of hardened steels and better surface roughness due to increase in temperature with LAM as compared to conventional cutting.”