A microstructure-based fatigue-crack-initiation model

By K. Chan. 2003

171 citations recorded by the source corpus.

Subfields: Materials Chemistry, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/1bc4074561e7845c2bbbbfeedad34f39af482d9b

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. F. Dunne
2. I. S. Jawahir
3. O. Dillon
4. A. Manonukul
5. Domenico Umbrello
6. Michael D. Sangid
7. A. Wilkinson
8. T. Ben Britton

In Mechanical Engineering

1. I. S. Jawahir
2. F. Dunne
3. O. Dillon
4. Domenico Umbrello
5. Marcello Cabibbo
6. E. Santecchia
7. Luca Settineri
8. A. Manonukul

In Mechanics of Materials

1. F. Dunne
2. Marcello Cabibbo
3. O. Dillon
4. I. S. Jawahir
5. E. Santecchia
6. Luca Settineri
7. A. Manonukul
8. Jun Wei

Citations in the corpus

• A Review on Fatigue Life Prediction Methods for Metals (2016, background): “This highlighted the need to incorporate key parameters like crack and microstructural sizes, to getmore accuratemicrostructure-based fatigue crack initiation models [61].”
• High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach (2019, background): “Microstructure-based models [21, 22] can be employed, but the characterisation of microstructural features, e.”
• High– and low–cycle fatigue crack initiation using polycrystal plasticity (2004, background): “Chan (2003) draws together the results of many fatigue experiments and shows that the number of cycles required to cause crack initiation is often a significant fraction of those required to cause failure, and that in some materials the initiation phase dominates the material’s life.”
• The effects of cooling conditions on surface integrity in machining of Ti6Al4V alloy (2013, background): “Also, fatigue life can strongly depend on this parameter [31-33].”