Failure analysis of SUS304 sheet during hydro-bulging based on GTN ductile damage model

Zhang, W. W.; Cong, Shengyi

doi:10.1007/s00170-015-8199-3

Cited by 21 publications

(6 citation statements)

References 15 publications

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“…The voids which are produced on the dislocation locks are smaller than those produced around the inclusions. 56,57 Figure 14 indicates the SEM analysis of the fracture surface for different joining conditions. All the samples exhibited a ductile fracture surface characterized by the formation of dimples.…”

Section: Mechanical Properties and Fracture Surface Analysismentioning

confidence: 99%

A modified version of friction stir welding process of aluminum alloys: Analyzing the thermal treatment and wear behavior

Abdollah-zadeh

Bagheri

Abbasi

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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In this article, the effect of vibration and cooling media on the friction stir welding of 5083Al alloy is investigated. The vibration was introduced by the motor into the fixture inserted under the workpiece while a cooling media (water and lubrication oil) flowed into a canal in the fixture beneath the weld path. A constant rotation speed of 1250 r/min and a traveling speed of 90 mm/min were used for all the welding conditions. The thermal analysis measured by several thermocouples indicated that friction stir vibration welding (FSVW) provided maximum temperature distribution in the workpiece, while friction stir welding with the water cooling exhibited the lowest temperature value. The microstructure observations were conducted by optical microscope, scanning electron microscopy, and transmission electron microscopy. The results indicated substantial grain refinement when vibration and water cooling were simultaneously applied during the friction stir welding process. The hardness values increased from 50 to around 78 (Hv) for friction stir welding and FSVW with water systems, respectively. The joint efficiency (the ratio of the joint strength to the base metal strength) of the joint fabricated by FSVW with water cooling was around 87%, while this quantity was about 66% for the friction stir welding joint. Fracture analysis indicated more ductile behaviors for the samples fabricated by FSVW with the coolant systems. Furthermore, the joint fabricated by FSVW with water cooling exhibited the best wear resistance among all the samples in a pin-on-disk wear test.

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Section: Mechanical Properties and Fracture Surface Analysismentioning

confidence: 99%

A modified version of friction stir welding process of aluminum alloys: Analyzing the thermal treatment and wear behavior

Abdollah-zadeh

Bagheri

Abbasi

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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“…Parameter F f can be calibrated by combining experimental and numerical data. Another approach determines solely F f through a microstructure analysis by quantifying the present void fractions at final material failure [42,43].…”

Section: Materials Constants and Calibrationmentioning

confidence: 99%

A machine learning based sensitivity analysis of the GTN damage parameters for dynamic fracture propagation in X70 pipeline steel

2021

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The Gurson-Tvergaard-Needleman (GTN) damage model is widely used to predict ductile failure initiation and propagation. However, the material-dependent parameters can show a significant spread when determined for the same steel grade material. Different calibration procedures and optimisation processes cause a significant variation in the obtained parameter values. Furthermore, there is no clear consensus on which parameters require calibration. In this study, the influence of the material-dependent parameters used to model the dynamic ductile fracture behaviour of X70 grade pipeline steel is investigated. A sensitivity analysis is performed on a finite element model of a Charpy V-Notch (CVN) specimen. Seven GTN model parameters are considered in a total of 70 simulations. A feedforward back-propagating artificial neural network (ANN) is constructed and trained using data obtained through the numerical simulations. A Connected Weights (CW) algorithm allows to determine the relative influence of each parameter on the fracture energy. It was observed that the void growth acceleration factor plays an important role with respect to the parameter influences.Remarkably, the mean nucleation strain, N  has the highest relative importance whilst the critical void volume fraction, c fwhich is considered as a crucial damage parametershowed the smallest influence when the acceleration factor is low. On the contrary, when considering a high acceleration factor, c f becomes the most influential parameter. Based on the obtained importance for each parameter, it is suggested that parameters 0 f , c f , F f , and N f should be selected for calibration in each individual application. Finally, the applied machine learning approach is used to predict the fracture energy for a given set of damage parameters for X70 grade steel. It is observed that the trained neural network is able to provide a satisfactory approximation of the CVN fracture energy.

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“…According to some researches, ductile metals indicate the wealth amounts of plastic deformation before to fracture in comparison to brittle metals 34) . Although particles and precipitations are the main areas for void growing, FSW enhances the micro-structure of parent metal and causes the breakdown of large particles and inclusions in microstructure [35][36][37][38] . Based on Fig 10, the voids for FSVwelded sample, because of having strained more before fracture, are more than that of another one.…”

Section: Fracture Surfacesmentioning

confidence: 99%

Analysis of Microstructure and Mechanical Properties of Friction Stir Vibration Welded (FSVW) 5083 Aluminum Alloy Joints: Experimental and Simulation

Bagheri

Abbasi

2019

Journal of Welding and Joining

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In the current research, friction stir vibration welding (FSVW) process was introduced for welding of Al5083 alloy as a new method to improve mechanical and microstructure characteristics of joining zone. Vibration through a motor was added regularly to weld line during the friction stir welding process. Finite element method (FEM) to verify experimental results in different vibration frequencies used. The results showed that grain size in the weld region reduces as vibration frequency increases. The increasing in straining results in the improvement of dislocation density, and leads to more development of high angle grain boundaries because of dynamic recrystallization. The grain size of base metal is 64 µm, while it is about 17 and 9 µm during FSW and FSVW respectively. Besides, strength, hardness and formability index of FSV welded samples were tremendous than that of FS welded ones. Ultimate tensile strength (UTS) increases from 180 MPa for FSW to 225 MPa as 48 Hz frequency vibration was used. The thrust force curve indicated that the time required to reach the highest thrust level as well as the peak thrust value reduce as the vibration frequency increases. This novel way can enhance the application of FSW, and it has suggested for utilization in various industries.

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Failure analysis of SUS304 sheet during hydro-bulging based on GTN ductile damage model

Cited by 21 publications

References 15 publications

A modified version of friction stir welding process of aluminum alloys: Analyzing the thermal treatment and wear behavior

A modified version of friction stir welding process of aluminum alloys: Analyzing the thermal treatment and wear behavior

A machine learning based sensitivity analysis of the GTN damage parameters for dynamic fracture propagation in X70 pipeline steel

Analysis of Microstructure and Mechanical Properties of Friction Stir Vibration Welded (FSVW) 5083 Aluminum Alloy Joints: Experimental and Simulation

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