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An improved model for predicting the scattered S-N curves
ID
Klemenc, Jernej
(
Author
),
ID
Podgornik, Bojan
(
Author
)
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https://www.sv-jme.eu/sl/article/an-improved-model-for-predicting-the-scattered-s-n-curves/
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Abstract
In this article an improved neural network model is presented that allows us to predict the scattered S-N curves. The model is capable of predicting the S-N curve in its high-cycle and very-high-cycle fatigue domains by considering also the increased scatter of the fatigue-life data below the knee point of the S-N curve. The scatter of the fatigue-life data for an arbitrary amplitude-stress level is modelled with a two-parametric Weibull%s probability density function, the parameters of which are varied as a function of the amplitude-stress level. The parameters of the S-N curve trend and its scatter distribution are not fixed, but depend on the parameters of the production process via a serial-hybrid neural network. The article presents the theoretical background and the application in the case of real experimental fatigue data for 51CrV4 spring steel manufactured with two different manufacturing technologies and two different heat treatments.
Language:
English
Keywords:
51CrV4 steel
,
conventional manufacturing technology
,
electro-slag remelting
,
S-N curve
,
neural network
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2019
Number of pages:
Str. 265-275
Numbering:
Vol. 65, no. 5
PID:
20.500.12556/RUL-108215
UDC:
621.7:681.5(045)
ISSN on article:
0039-2480
DOI:
10.5545/sv-jme.2018.5918
COBISS.SI-ID:
16644891
Publication date in RUL:
21.06.2019
Views:
1581
Downloads:
575
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Record is a part of a journal
Title:
Strojniški vestnik
Shortened title:
Stroj. vestn.
Publisher:
Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
ISSN:
0039-2480
COBISS.SI-ID:
762116
Secondary language
Language:
Slovenian
Title:
Izboljšan model za napoved S-N krivulj in njihovih raztrosov
Keywords:
jeklo 51CrV4
,
konvencionalne izdelovalne tehnologije
,
elektro-pretaljevanje
,
S-N krivulja
,
nevronske mreže
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0182
Name:
Razvojna vrednotenja
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