Understanding the factors controlling the hardness in martensitic steels

By E. Galindo-Nava, P. Rivera-Diaz-Del-Castillo. 2016

159 citations recorded by the source corpus.

Subfields: Materials Chemistry, Mechanical Engineering, Metals and Alloys

View Paper: https://www.semanticscholar.org/paper/1cfaced243073ad4fc51999694fc2243b1a76774

How researchers see this paper

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

In Materials Chemistry

1. W. M. Rainforth
2. E. Galindo-Nava
3. P. Rivera-Diaz-Del-Castillo
4. S. van der Zwaag
5. Chenchong Wang
6. Yong Li
7. Wei Xu
8. Xiaolu Wei

In Mechanical Engineering

1. W. M. Rainforth
2. P. Rivera-Diaz-Del-Castillo
3. E. Galindo-Nava
4. S. van der Zwaag
5. Chenchong Wang
6. Yong Li
7. Wei Xu
8. Xiaolu Wei

In Metals and Alloys

1. W. M. Rainforth
2. P. Rivera-Diaz-Del-Castillo
3. E. Galindo-Nava
4. O. A. Zambrano

Citations in the corpus

• Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel (2019, background): “Furthermore, although the reverted/retained austenite is a key factor influencing the mechanical properties of maraging steels [23], their effects were ignored, yet good agreement could be obtained [24].”
• Predicting microstructure and strength of maraging steels: Elemental optimisation (2016, background): “The microstructure of lath martensite in Fe C steels has been described in previous work [17,18].”