Detail publikace

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

KOZÁKOVÁ, K. KLUSÁK, J.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

KOZÁKOVÁ, K.; KLUSÁK, J.

Vydáno

13. 1. 2023

Nakladatel

Elsevier

ISSN

2452-3216

Periodikum

Procedia Structural Integrity

Ročník

43

Číslo

1

Stát

Italská republika

Strany od

178

Strany do

183

Strany počet

6

URL

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

Plný text v Digitální knihovně

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"
}