scholarly journals Fatigue life prediction for Ni-based superalloy GH4169 considering machined surface roughness and residual stress effects

2021 ◽  
pp. 215-226
Author(s):  
Z.R. Wu ◽  
S.Q. Wang ◽  
X. Yang ◽  
L. Pan ◽  
Y.D. Song
Keyword(s):  
Residual Stress ◽  
Surface Roughness ◽  
Fatigue Life ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Machined Surface ◽  
Stress Effects ◽  
Machined Surface Roughness

3D Roughness Parameters as Factors in Determining the Evolution of Effective Stress Concentration Factors in Fatigue Processes

2012 ◽  
Vol 248 ◽  
pp. 504-510 ◽  
Author(s):  
Valentin Mereuta ◽  
Mihaela Buciumeanu ◽  
Liviu Palaghian
Keyword(s):  
Surface Roughness ◽  
Fatigue Life ◽  
Stress Concentration ◽  
Effective Stress ◽  
Roughness Parameters ◽  
Machined Surface ◽  
Machined Surface Roughness ◽  
Concentration Factors ◽  
Stress Concentration Factors ◽  
Effective Stress Concentration Factor

The influence of machined surface roughness on the fatigue life of S355JR steel has been investigated. The specimen have been machined with three roughness levels and tested under plane fatigue. The surface roughness parameters were used to estimate the effective stress concentration factors Kt using the Arola-Ramulu model and Neuber model. In this paper it is proposed a modification for both models. Based on the experimental results was obtained the evolution of the effective stress concentration factor for the original Arola-Ramulu and Neuber models and also for the modified ones.

Fatigue Life Prediction for Complex Load Versus Time Histories

1983 ◽  
Vol 105 (3) ◽  
pp. 206-214 ◽  
Author(s):  
N. E. Dowling
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Constant Amplitude ◽  
Discrete Events ◽  
Complex Load ◽  
Stress Effects ◽  
Fatigue Data ◽  
Time Histories ◽  
Damage Type

Fatigue life prediction for complex load versus time histories is considered from the viewpoint of separating the history into discrete events, or cycles, which may then be used with constant amplitude fatigue data in a cumulative damage type of analysis. Highly irregular histories require special attention, with minor load excursions being considered in cycle counting as temporary interruptions of larger load cycles. Local notch plasticity and mean stress effects are interrelated, and such effects are most rationally accounted for in terms of local notch stresses and strains. The paper describes and discusses a life prediction procedure for notched members which is based on modeling of the stresses and strains occurring locally at the notch.

An improved fatigue life prediction model for shock absorber cylinder with surface roughness correction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Haijie Wang ◽  
Xintian Liu ◽  
Que Wu ◽  
Xiaolan Wang ◽  
Yansong Wang
Keyword(s):  
Surface Roughness ◽  
Fatigue Life ◽  
Prediction Model ◽  
Life Prediction ◽  
Shock Absorber ◽  
Fatigue Life Prediction ◽  
Improved Method ◽  
Content Type ◽  
Lateral Forces ◽  
Life Prediction Model

Purpose The purpose of this paper is to obtain a more accurate fatigue life of structures by introducing the surface roughness into fatigue life prediction model. Design/methodology/approach Based on the fatigue life prediction model with surface roughness correction, the shock absorber cylinder is taken as an example to verify the feasibility of the improved method. Based on the load of the shock absorber cylinder during driving, fatigue experiments are performed under longitudinal and lateral forces, respectively. Then, the fatigue life predicted by the modified model is compared with that predicted by the traditional model. Findings By comparing with the test results, considering the influence of mean stress, the Manson method is more accurate in life prediction. Then, the modified Manson-Coffin and Manson method with surface roughness is more accurate in life prediction under longitudinal force and lateral forces, respectively. This verifies the feasibility of the improved method with the surface roughness. Originality/value The research on the influence of surface roughness on fatigue life can lay the technical foundation for the life prediction of products and have great significance to the quality evaluation of products.

The Ability of Current Models for Fatigue Life Prediction of Shot Peened Components

2009 ◽  
Vol 417-418 ◽  
pp. 901-904 ◽  
Author(s):  
Ricardo A. Cláudio ◽  
José M. Silva ◽  
Carlos M. Branco ◽  
Jim Byrne
Keyword(s):  
Residual Stress ◽  
Fatigue Life ◽  
Fracture Mechanics ◽  
Shot Peening ◽  
Life Prediction ◽  
Compressive Residual Stress ◽  
Prediction Models ◽  
Critical Distance ◽  
Fatigue Life Prediction ◽  
Distance Methods

It is well known that shot peening has a marked benefit on fatigue life for the majority of applications. This effect is attributed mainly due to the compressive residual stress state at the component’s surface due to shot peening. The present paper evaluates the ability of several fatigue life prediction models, commonly used for general analyses, to predict the behaviour of components with compressive residual stress due to shot peening. Advanced elastic-plastic finite element analyses were carried out in order to obtain stress, strain, strain energy and fracture mechanics parameters for cracks within a compressive residual stress field. With these results several total fatigue life prediction models (including critical distance methods) and fracture mechanics based models were applied in order to predict fatigue life. Fatigue life predictions were compared with several experimental fatigue tests carried out on specimens, representative of a critical region of a compressor disc in a gas turbine aero engine. The results obtained showed that total fatigue life methods, even if combined with critical distance methods, give conservative results when shot peening is considered. Fatigue life was successfully predicted using the method proposed by Cameron and Smith, by adding initiation life to crack propagation life. This last method was also successfully applied for the prediction of non-propagating cracks that were observed during the experimental tests.

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