Journal of Welding Science

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In this study the microstructure and mechanical properties of super duplex stainless steel UNS S32750 welding was studied. For this purpose, the method of gas tungsten arc and filler metal AWS ER2594 with a diameter of 4.2 mm was used. In order to investigate the microstructure light microscopy and electron microscopy equipped with backscatter electron diffraction were used. Mechanical properties were studied by hardness and tensile tests. Weld metal had  Cast structure with austenite in the dendrite form  located in ferrite matrix. It was also observed in the melting zone after welding, the ferrite volume fraction decreased to 50 percent 60% base metal ferrite) ,Due to the low cooling rates and  high heat input method in the gas tungsten arc welding. Vickers micro-hardness test method was carried out on the samples showed that average about 285 Vickers hardness of base metal; however, hardness in the fusion region due to increased austenite fraction fell to 250 Vickers. But hardness in the heat-affected zone due to lower volume fraction of austenite and ferrite phase formation of chromium carbide intermetalic compounds increased to 340 Vickers. The results of the tensile test showed that the tensile strength decreased with increasing heat input, because of increase the size of grains due to the increased heat input.

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In this study, the corrosion behavior of super duplex stainless steel UNS S32750 and tungsten arc welding with filler metals AWS ER2594 duplex stainless steel in acidic solution containing chloride ions have been investigated. Microstructure of weld joints evaluateby light and electron microscope and corrosion behavior examine by open circuit potential and cyclic polarization tests.The results showed that increas in heat input leads to a change in the distribution of alloying elements, formation of intermetallic phases around grain boundaries and the shifting balance between austenite and ferritein phases in weld region. Based on the cyclic polarization tests, cross-weld and base  metal active behavior and have good corrosion resistance due to the presence of high alloying elements. As well as increase in heat input leads  to  an increase in current density and decrease in the pitting potential.

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Transient liquid phase bonding of  UNS S32750 super duplex stainless steel to AISI 304 austenitic stainless steel using BNi-2 interlayer was carried out at 1050 oC for 45 min. Microstructure analyses of the joint were carried out using optical microscopy, scanning electron microscopy and energy-dispersive X-ray spectroscopy. Microhardness indentation and shear strength test were performed to assess mechanical behavior of the joint. No eutectic contents was seen at the joint and thus Isothermal solidification was completed at 45 min bonding time. The shear strength of the joint was about 0.7 of duplex stainless steel shear strength. Froctographic studies revealed that the fracture mode was completely ductile in the case of the joint made at bonding time of 45 min.

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The influence of heat-input and pre-heat treatment on the structure, mechanical and corrosion behaviors of 2205 duplex stainless steel joint by means of GMAW process was the goal of this study. In this regards, the welding process was done using different heat input in the range of 0.6 to 1.4 kJ/mm and different pre-heating treatments in the range of 25 to 100 ^oC. The microstructural properties of prepared samples were evaluated using x-ray diffraction (XRD) and scanning electron microscopy (SEM) techniques. Based on archived results, the microstructure of as-welded samples were combinations of Widmaneshtaten austenite which nucleated from boundaries and growth toward central part of ferrite grains. By increasing the heat-input, the percentages of ferrite and austenite phases decreased and increased, respectively. In this condition, the highest value of strength and ductility was achieved in as-weld samples with medium (1.0 kJ/mm) heat-input. The corrosion studies showed that the heat-input has negligible effects on corrosion behaviors of 2205 duplex stainless steel joint. It was also found that the pre-heating treatment has adverse effect on the mechanical properties of the junction.    

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Galvanic corrosion is an ever-present problem in all different environments, particularly in tanks. The goal of this project is to develop a finite element model that can be used with experimental data to characterize the corrosion of a galvanic weldments couple in an electrolyte. In this study sample are welded by gas tungsten arc welding and friction stir welding. According to ASTM G8, Evaluation of corrosion properties examined with cyclic polarization test in 0.5 molar H₂SO₄ andthe information required to validate the model was prepared. The finite element model is developed using COMSOL and Math Module through derivation of equations describing corrosion thermodynamics and electrochemical kinetics. The results showed that reducing in heat input to improve galvanic corrosion behavior in the weld sample.In addition to result of simulation reveal sample that welded by gas tungsten arc method had higher current density galvanic corrosion in comparison with friction stir sample.

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In this investigation, the AISI 2205 duplex stainless steel was welded in the form of bead on plate by A-TIG process with different amount of the ZrO2 and TiO2 activated fluxes. The results of the visual inspection showed that the specimen with 50% ZrO2 and 50% TiO2 activated flux, had the lowest face width and the specimen with contains 90% ZrO2 activated flux, had the highest penetration depth. Also, the results showed that the angular distortion of the specimens with mix of the ZrO2 and TiO2 activated flux were 225% less than the specimen without activated flux. The results of macroscopic examination of different samples showed that the maximum length and width of the macroscopic grains were related to the sample with 90% ZrO2 activated flux and the smallest length and width of the macroscopic grains were related to the sample with 90% TiO2 activated flux. The hardness test results showed that the highest hardness of the samples was gained to 90% TiO2 activated flux specimen with 950 HV and the lowest hardness value for the sample with 90% ZrO2 activated flux with 410 HV. The results of all tests showed that surface activated fluxes (ZrO2 and TiO2) affected to the depth of penetration, face width, angular distortion, length and width of macroscopic grains and the hardness of weld metal by changing the longitudinal and transverse melt flow in the weld pool.

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In this study, the temperature in friction stir welding of duplex stainless steel has been investigated. At first, temperature estimation was modeled and estimated at different distances from the center of the stir zone by the multivariate Lagrangian function. Then, the linear extrapolation method and multiple linear regression method were used to estimate the temperature outside the range and center of the stir zone. Temperature estimation is based on three parameters rotational speed, welding speed and distance from the center of stir zone. In the first method, by generalizing the multivariate Lagrangian method, the multivariate Lagrangian temperature function was generalized according to the above parameters. In the second method, in order to investigate the effect of the variables in the regression model, a comparison of two complete models and a reduced model based on the sum of squares errors was used. Then, by analyzing the multiple regression equations governing the output variable, a multiple linear regression function was introduced. Since the temperature of the stir zone is not measurable by the thermocouple, so in general the best fit curve for estimating the function is when the modeling is based on parameters that minimize the error function.To implement the multiple linear regression method, the error function was introduced to minimize the sum of the error squares and the error derivative was calculated in relation to the parameters of tool rotation speed, welding speed and distance from the center of the stir zone. Therefore, multiple linear regression method was considered as the basic method and as a criterion with other methods. According to the results obtained from the prediction in the center of the stir zone, the temperature difference in all three methods is desirable and negligible. The maximum temperature difference of multiple linear regression method with multivariate Lagrangian method in all nodes was 18.8 ^oC and multiple linear regression method with linear extrapolation method was 26.36 ^oC. Therefore, the multivariate Lagrangian interpolation method is less different than the linear extrapolation method in the center of the stir zone and is more accurate.