Fatigue life of a dissimilar welded joint considering the weld residual stress: Experimental and finite element simulation

2018 ◽  
Vol 109 ◽  
pp. 182-190 ◽  
Author(s):  
Weiya Zhang ◽  
Wenchun Jiang ◽  
Xu Zhao ◽  
Shan-Tuang Tu
Keyword(s):  
Residual Stress ◽  
Finite Element ◽  
Fatigue Life ◽  
Finite Element Simulation ◽  
Welded Joint ◽  
Dissimilar Welded Joint ◽  
Element Simulation ◽  
Weld Residual Stress

scholarly journals Mathematical Model and Verification of Residual Stress Induced by Water Jet Peening

Metals ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 936 ◽  
Author(s):  
He ◽  
Li ◽  
Zhao ◽  
Cui ◽  
Li ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Residual Stress ◽  
Finite Element ◽  
Fatigue Life ◽  
Finite Element Simulation ◽  
Compressive Residual Stress ◽  
Water Jet ◽  
Depth Direction ◽  
Element Simulation ◽  
The Mathematical Model

Abstract: The water jet peening (WJP) technology can induce compressive residual stress (RS) in metal surfaces and, thus, improve the fatigue life of components. In this paper, a mathematical model is proposed for calculating the RS induced by WJP. To validate the proposed mathematical model, experimental and finite element simulation verifications were carried out on Al6061-T6. The distribution of RS along the depth direction, the maximum compressive RS, and the depth of the compressive RS layer were also investigated based on the mathematical model. Results showed that the error of maximum compressive RS between the mathematical model and experiment was within 9% under a jet pressure of 60 MPa, and the error of depth of the compressive RS layer between the mathematical model and experiment was within 13% under a jet diameter of 0.3 mm. Hence, the mathematical model is reliable and accurate. The maximum compressive RS increases with the increase in jet pressure, and the depth of the compressive RS layer approximately linearly increases with the increase in jet diameter.

Influence of Vehicle Velocity and Wheelbase on Washboard Enhancement Coefficient

2014 ◽  
Vol 875-877 ◽  
pp. 1116-1120
Author(s):  
Wen Liang Li ◽  
Wei Zhou ◽  
Li Gao ◽  
Wei Liang Dai
Keyword(s):  
Finite Element ◽  
Fatigue Life ◽  
Finite Element Simulation ◽  
Simulation Method ◽  
Element Simulation ◽  
Vehicle Velocity ◽  
Study Results

With finite element simulation method, the fatigue life of vehicle front floor is analyzed in different vehicle wheelbases and velocities, and the washboard enhancement coefficient is calculated, then K-v curve, K-m curve and K-v-m surface are drawn, with which influence of vehicle velocity and wheelbase on washboard enhancement coefficient is studied. The study results show that, when the wheelbase is constant, washboard enhancement coefficient increases first and then decreases with velocity increasing, and reaches peak at a certain velocity; when velocity is constant, washboard enhancement coefficient decreases as wheelbase increasing; when velocity and wheelbase both changes, washboard enhancement coefficient varies in K-v-m surface.

Application of Artificial Neural Network for Fatigue Life Prediction

2005 ◽  
Vol 297-300 ◽  
pp. 96-101
Author(s):  
Ishak Abdul Azid ◽  
Lee Kor Oon ◽  
Ong Kang Eu ◽  
K.N. Seetharamu ◽  
Ghulam Abdul Quadir
Keyword(s):  
Neural Network ◽  
Finite Element ◽  
Fatigue Life ◽  
Solder Joint ◽  
Finite Element Simulation ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Element Simulation ◽  
Parametric Studies ◽  
Solder Joint Fatigue

An extensively published and correlated solder joint fatigue life prediction methodology is incorporated by which finite element simulation results are translated into estimated cycles to failure. This study discusses the analysis methodologies as implemented in the ANSYSTM finite element simulation software tool. Finite element models are used to study the effect of temperature cycles on the solder joints of a flip chip ball grid array package. Through finite element simulation, the plastic work or the strain-energy density of the solder joints are determined. Using an established methodology, the plastic work obtained through simulation is translated into solder joint fatigue life [1]. The corresponding results for the solder joint fatigue life are used for parametric studies. Artificial Neural Network (ANN) has been used to consolidate the parametric studies.

Finite Element Simulation of Welding of Large Structures

1992 ◽  
Vol 114 (4) ◽  
pp. 441-451 ◽  
Author(s):  
S. Brown ◽  
H. Song
Keyword(s):  
Residual Stress ◽  
Finite Element ◽  
Finite Element Simulation ◽  
Three Dimensional ◽  
Mechanical Analysis ◽  
Welding Distortion ◽  
Surrounding Structure ◽  
Element Simulation ◽  
Weld Distortion ◽  
Welding Processes

Current simulations of welding distortion and residual stress have considered only the local weld zone. A large elastic structure surrounding a weld, however, can couple with the welding operation to produce a final weld state much different from that resulting when a smaller structure is welded. The effect of this coupling between structure and weld has the potential of dominating the final weld distortion and residual stress state. This paper employs both two-and three-dimensional finite element models of a circular cylinder and stiffening ring structure to investigate the interaction of a large structure on weld parameters such as weld gap clearance (fitup) and fixturing. The finite element simulation considers the full thermo-mechanical problem, uncoupling the thermal from the mechanical analysis. The thermal analysis uses temperature-dependent material properties, including latent heat and nonlinear heat convection and radiation boundary conditions. The mechanical analysis uses a thermal-elastic-plastic constitutive model and an element “birth” procedure to simulate the deposition of weld material. The effect of variations of weld gap clearance, fixture positions, and fixture types on residual stress states and distortion are examined. The results of these analyses indicate that this coupling effect with the surrounding structure should be included in numerical simulations of welding processes, and that full three-dimensional models are essential in predicting welding distortion. Elastic coupling with the surrounding structure, weld fitup, and fixturing are found to control residual stresses, creating substantial variations in highest principal and hydrostatic stresses in the weld region. The position and type of fixture are shown to be primary determinants of weld distortion.

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