Publication detail

Prediction of the fatigue life of notched specimens: The influence of the surface quality produced by machining

KOZÁKOVÁ, K. KLUSÁK, J.

Original Title

Prediction of the fatigue life of notched specimens: The influence of the surface quality produced by machining

Type

conference paper

Language

English

Original Abstract

The article introduces a method for fatigue lifetime predictions of notched specimens. The method uses fracture stresses of smooth and notched specimens with notch radius r = 0.2 mm. These two sets of experimental data are evaluated with the knowledge of axial stress distributions of the notched specimens using average stress over a length parameter l. This parameter l is considered to be a material characteristic (depending on the number of cycles to failure) and can be used for lifetime predictions of notched specimens with various notch radii. The predictions are compared to experimental data and analyzed. There is a strong influence of the process of machining of notches, which can lead to fatigue failure earlier than predicted. The data are evaluated in the area of high cycle fatigue and gigacycle fatigue.

Keywords

notches; fatigue; lifetime predictions; length parameter; high cycle fatigue; gigacycle fatigue

Authors

KOZÁKOVÁ, K.; KLUSÁK, J.

Released

13. 1. 2023

Publisher

Elsevier

ISBN

2452-3216

Periodical

Procedia Structural Integrity

Year of study

43

Number

1

State

Republic of Italy

Pages from

178

Pages to

183

Pages count

6

URL

https://www.sciencedirect.com/science/article/pii/S2452321622008186

Full text in the Digital Library

http://hdl.handle.net/11012/209237

BibTex

@inproceedings{BUT182123,
  author="Kamila {Kozáková} and Jan {Klusák}",
  title="Prediction of the fatigue life of notched specimens: The influence of the surface quality produced by machining",
  booktitle="Materials Structure & Micromechanics of Fracture",
  year="2023",
  journal="Procedia Structural Integrity",
  volume="43",
  number="1",
  pages="178--183",
  publisher="Elsevier",
  doi="10.1016/j.prostr.2022.12.255",
  issn="2452-3216",
  url="https://www.sciencedirect.com/science/article/pii/S2452321622008186"
}