Review on fatigue life prediction models of welded joint

2020 ◽  
Vol 36 (3) ◽  
pp. 701-726 ◽  
Author(s):  
Guozheng Kang ◽  
Huiliang Luo
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Prediction Models ◽  
Welded Joint ◽  
Fatigue Life Prediction

Testing and assessment of fatigue life prediction models for Indian PHWRs piping material under multi-axial load cycling

2016 ◽  
Vol 85 ◽  
pp. 98-113 ◽  
Author(s):  
Punit Arora ◽  
Suneel K. Gupta ◽  
V. Bhasin ◽  
R.K. Singh ◽  
S. Sivaprasad ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Axial Load ◽  
Life Prediction ◽  
Prediction Models ◽  
Fatigue Life Prediction ◽  
Load Cycling

scholarly journals Rapid fatigue life prediction for spot-welded joint of SUS301 L-DLT stainless steel and Q235B carbon steel based on energy dissipation

2018 ◽  
Vol 10 (11) ◽  
pp. 168781401881101 ◽  
Author(s):  
Yaliang Liu ◽  
Yibo Sun ◽  
Yang Sun ◽  
Hongji Xu ◽  
Xinhua Yang
Keyword(s):  
Stainless Steel ◽  
Fatigue Life ◽  
Carbon Steel ◽  
Energy Dissipation ◽  
Life Prediction ◽  
Welded Joint ◽  
Fatigue Behavior ◽  
Dissimilar Materials ◽  
Fatigue Life Prediction ◽  
Spot Welded

Spot welding of dissimilar materials can utilize the respective advantage comprehensively, of which reliable prediction of fatigue life is the key issue in the structure design and service process. Taking into account almost all the complex factors that have effects on the fatigue behavior such as load level, thickness, welding nugget diameter, vibrational frequency, and material properties, this article proposed an energy dissipation-based method that is able to predict the fatigue life for spot-welded dissimilar materials rapidly. In order to obtain the temperature gradient, the temperature variations of four-group spot-welded joint of SUS301 L-DLT stainless steel and Q235 carbon steel during high-cycle fatigue tests were monitored by thermal infrared scanner. Specifically, temperature variation disciplines of specimen surface were divided into four stages: temperature increase, temperature decrease, continuous steady increase in temperature, and ultimate drop after the fracture. The material constant C that a spot-welded joint of dissimilar material needs to reach fracture is 0.05425°C·mm3. When the specimen was applied higher than the fatigue limit, the highest error between experimental values and predicted values is 18.90%, and others are lower than 10%. Therefore, a good agreement was achieved in fatigue life prediction between the new method and the validation test results.

A State-of-the-Art Review of Fatigue Life Prediction Models for Solder Joint

2019 ◽  
Vol 141 (4) ◽  
Author(s):  
Sinan Su ◽  
Francy John Akkara ◽  
Ravinder Thaper ◽  
Atif Alkhazali ◽  
Mohammad Hamasha ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Prediction Models ◽  
Solder Joints ◽  
State Of The Art ◽  
Electronic Devices ◽  
Creep Damage ◽  
Fatigue Life Prediction ◽  
Factors Affecting ◽  
Causes Of Failure

Fatigue failure of solder joints is one of the major causes of failure in electronic devices. Fatigue life prediction models of solder joints were first put forward in the early 1960s, and since then, numbers of methods were used to model the fatigue mechanism of solder joints. In this article, the majority fatigue life models are summarized, with emphasis on the latest developments in the fatigue life prediction methods. All the models reviewed are grouped into four categories based on the factors affecting the fatigue life of solder joints, which are: plastic strain-based fatigue models, creep damage-based fatigue models, energy-based fatigue models, and damage accumulation-based fatigue models. The models that do not fit any of the above categories are grouped into “other models.” Applications and potential limitations for those models are also discussed.

A through process modeling using multi-assistant software applied to radial fatigue life predication of a 356-T6 wheels

2020 ◽  
Author(s):  
Yongchuan Duan ◽  
Fangfang Zhang ◽  
Le Tian ◽  
Yingping Guan ◽  
Jinhua Hu
Keyword(s):  
Aluminum Alloy ◽  
Fatigue Life ◽  
Prediction Model ◽  
Life Prediction ◽  
Optimization Design ◽  
Prediction Models ◽  
Fatigue Life Prediction ◽  
Tetrahedral Mesh ◽  
Shrinkage Cavity ◽  
Life Prediction Model

Abstract In order to solve the problem of isolated design in multi-process using multi-assistant software, a through-software radial fatigue life prediction model was established, the effects of shrinkage cavity, SDAS and mean stress on fatigue life were considered. The casting process of the aluminum alloy wheel was simulated based on ProCast, and the data of SDAS and porosity of different parts were predicted based on the solidification process; The data mapping algorithm between tetrahedral mesh elements was developed to realize the unidirectional transformation of microcosmic data from a cast model to a static mechanical model, the radial loading mechanical analysis model of a wheel containing microcosmic information was established; The fatigue life prediction model was established by Fesafe based on the specific mechanical and fatigue parameters of each node. Based on the self-developed TCD software, the integrated coupling method of the three software prediction models was realized. The application of this method on the virtual fatigue prediction experiment of unidirectional tensile specimen reduce the result dispersion between virtual and physical experiment, and the predicted life result error is reduced from 51% to 16%. The proposed method lays a solid foundation of the optimization design and lightweight design of aluminum alloy wheels.

On the estimation and optimization capabilities of the fatigue life prediction models in composite laminates

2018 ◽  
Vol 37 (21) ◽  
pp. 1304-1321 ◽  
Author(s):  
H Arda Deveci ◽  
H Seçil Artem
Keyword(s):  
Fatigue Life ◽  
Hybrid Algorithm ◽  
Life Prediction ◽  
Prediction Models ◽  
Pattern Search ◽  
Fatigue Life Prediction ◽  
Superior Performance ◽  
Computational Time ◽  
Particle Swarm Algorithm ◽  
Peek Composite

In this study, the estimation and optimization capabilities of the multiaxial fatigue life prediction models, namely, Failure Tensor Polynomial in Fatigue, Fawaz–Ellyin, Sims–Brogdon and Shokrieh–Taheri are investigated comparatively. Fatigue life predictions are obtained for multidirectional graphite/epoxy, glass/epoxy, carbon/epoxy and carbon/PEEK composite laminate data taken from the literature. The prediction study shows that the models can predict the fatigue behavior of the multidirectional laminates at different degrees of proximity. In the optimization, a hybrid algorithm combining particle swarm algorithm and generalized pattern search algorithm is used to search the optimum stacking sequence designs of the laminated composites for maximum fatigue life. The hybrid algorithm shows superior performance in terms of computational time and finding improved global optima compared to the best results presented in the literature. After the capability of the models and the reliability of the algorithm are revealed, several lay-up design problems involving different cyclic loading scenarios are solved. The results indicate that the reliability of the optimization may considerably change according to the used model even if the model may yield reasonable prediction results.

Sign in / Sign up

Export Citation Format

Share Document