2006
DOI: 10.1631/jzus.2006.a0391
|View full text |Cite
|
Sign up to set email alerts
|

Reliability analysis of diesel engine crankshaft based on 2D stress strength interference model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
9
0

Year Published

2013
2013
2023
2023

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(9 citation statements)
references
References 5 publications
0
9
0
Order By: Relevance
“…1. The fatigue damage caused by one load cycle is denoted as D(1), which can be expressed as where N(s a , s m ) is the fatigue life under stress level (s a , s m ), which can be determined by equation (10).…”
Section: Modified Miner's Rulementioning
confidence: 99%
“…1. The fatigue damage caused by one load cycle is denoted as D(1), which can be expressed as where N(s a , s m ) is the fatigue life under stress level (s a , s m ), which can be determined by equation (10).…”
Section: Modified Miner's Rulementioning
confidence: 99%
“…If the probability density functions are in normal distribution, the reliability may also be calculated analytically, as elaborated by Kececioglu (2003) and Zhou and Yu (2006).…”
Section: Time-based and Stress-or Damage-based Probabilistic Modelsmentioning
confidence: 99%
“…Zhou and Yu (2006) developed a two-dimensional stress-strength model by adding another dimension to cover the variability of the stress asymmetric ratio. They applied their model to diesel engine crankshaft reliability analysis.…”
Section: Time-based and Stress-or Damage-based Probabilistic Modelsmentioning
confidence: 99%
“…For the critical engineering parts such as the crankshaft, the important positions such as the fillet and the oil hole always have the property of variable cross-sections, which will result in the concentration of stress and the accumulated damage during the working period will be the main contributor to the final failure e.g., [1]. Thus, the correct prediction of the fatigue limit load of these parts becomes important, especially in the design stage before manufacturing.…”
Section: Introductionmentioning
confidence: 99%