Development and validation of a probabilistic model for notch fatigue strength prediction of tool steels based on surface defects-Reference-Cited by-同舟云学术

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Development and validation of a probabilistic model for notch fatigue strength prediction of tool steels based on surface defects

Published:2021-11-03 Issue:1 Volume:45 Page:113-132
ISSN:8756-758X
Container-title:Fatigue & Fracture of Engineering Materials & Structures
language:en
Short-container-title:Fatigue Fract Eng Mat Struct

Author:

Zanni Mattia¹,Morri Alessandro¹^ORCID,Ceschini Lorella¹

Affiliation:

1. Department of Industrial Engineering (DIN) Alma Mater Studiorum – University of Bologna Bologna Italy

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ffe.13588

Reference75 articles.

1. BS EN ISO 4957:2000.Tool steels.2000.

2. Effect of deep cryogenic treatment on the mechanical properties of tool steels

3. Hot friction and wear behaviour of high speed steel and high chromium iron for rolls

4. Tribological behaviour of hot rolling rolls

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An efficient/accurate multi-scale fatigue prediction method for Metal-Polymer hybrid (MPH) interface;International Journal of Fatigue;2024-07

2. A random forest regression with Bayesian optimization-based method for fatigue strength prediction of ferrous alloys;Engineering Fracture Mechanics;2023-12

3. Effect of heat treatment and defects on the tensile behavior of a hot work tool steel manufactured by laser powder bed fusion;Fatigue & Fracture of Engineering Materials & Structures;2023-04-23

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