Microstructural observations and tensile fracture behavior of FSW twin roll cast AZ31 Mg sheets

Dorbane, Abdelhakim; Ayoub, Georges; Mansoor, Bilal; Hamade, Ramsey F.; Kridli, Ghassan T.; Shabadi, Rajashekhara; Imad, A.

doi:10.1016/j.msea.2015.09.097

Cited by 50 publications

(10 citation statements)

References 42 publications

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“…Static mechanical properties of friction stir welded (FSW) joint have been found to be affected by a local microstructure of the joint [1,2,3,4,5,6,7]. Research on the relation between microstructure evolution and mechanical properties in the FSW joint, grain size, grain orientation, and texture variation are taken into account.…”

Section: Introductionmentioning

confidence: 99%

Fatigue Modeling Containing Hardening Particles and Grain Orientation for Aluminum Alloy FSW Joints

Sun

Guo

Xiao³

et al. 2019

Materials

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The macro-mesoscopic joint fatigue model containing hardening particles and crystal characteristics is established to study the effect of the hardening particles and the grain orientation on fatigue properties of an aluminum alloy friction stir welding (FSW) joint. The macroscopic model is composed of the weld nugget zone, thermo-mechanically affected zone, heat-affected zone, and base material, according to the metallurgical morphology and hardness distribution of the joint. Cyclic stress and strain data are used to determine the material properties. The fatigue parameters used in the calculation of cyclic stresses and strains are obtained with the four-point correlation method. The mesoscopic models of different zones are inserted into the joint macroscopic model as submodules. The models containing the information of hardening particles and grain orientation are established with crystal plasticity theory for the grains and isotropic hardening rule for the hardening particles. The effects of hardening particles and grain orientation on the stress and strain responses are discussed. The simulation results show that high-angle misorientation of adjacent grains hinders the stress transfer. The particle cluster or cracked particles intensify the stress and strain concentrations.

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Section: Introductionmentioning

confidence: 99%

Fatigue Modeling Containing Hardening Particles and Grain Orientation for Aluminum Alloy FSW Joints

Sun

Guo

Xiao³

et al. 2019

Materials

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“…Also, any change in the cross-sectional area of the stud, which has an important effect on the weld quality, affects the arc current density and heat intensity distribution. Thus, parameters during the welding procedure must be selected properly to obtain maximum strength values [26,27].…”

Section: Discussionmentioning

confidence: 99%

A Comparative Study on the Effect of Welding Parameters of Austenitic Stainless Steels Using Artificial Neural Network and Taguchi Approaches with ANOVA Analysis

Kurt

Oduncuoğlu

Yilmaz

et al. 2018

Metals

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Abstract:In order to investigate the structure of welds, austenitic stainless steel (SS) studs with a diameter of 6 mm were welded to austenitic SS plates with a thickness of 5 mm using an arc stud welding (ASW) method. The effects of the welding current, welding time, and tip volume of the stud on the microstructure and ultimate tensile strength (UTS) of the welded samples were investigated in detail. The formation of δ-ferrites was detected in the weld zone because of the higher heat generated during the welding process. Higher welding current and time adversely affected the stud and significantly reduced the UTS of the samples. The UTS of the joints was also estimated using artificial neural network (ANN) and Taguchi approaches. The mathematical formulations for these two approaches were given in explicit form. Experimental results showed that the neural network results are more consistent with experimental results than those of the Taguchi method. Overall, it can be concluded that in order to achieve good welding joints and high strength values, ASW parameters should be investigated properly to determine the optimum conditions for each metal.

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“…Se observa que la correlación obtenida es buena, con un coeficiente R 2 de 0,84. Los valores de las constantes obtenidas para la ecuación de Hall-Petch son consistentes con los reportados en la literatura para el mismo material procesado mediante técnicas de SPD [6,8,9].…”

Section: Discussionunclassified

“…El pin de la herramienta penetra el material a procesar y el calor generado por fricción por el pin y el hombro plastifica el material y la rotación produce la agitación y mezclado. Como consecuencia de la acción de la herramienta sobre el material se generan zonas con diferentes microestructuras, comúnmente denominadas como zona agitada (SZ), zona termo-mecánicamente afectada (TMAZ) y zona afectada por el calor (HAZ) [2,8].…”

Section: Introductionunclassified

Estabilidad térmica de aleaciones de magnesio Procesadas por Friccion-Agitación (FSP)

Dieguez

Svoboda

2018

Matéria (Rio J.)

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RESUMENLa superplasticidad está caracterizada por una extensa deformación plástica previa a la fractura, generalmente a elevada temperatura. En el modo de superplasticidad por estructura fina, el deslizamiento de fronteras de grano es el mecanismo que controla la deformación superplástica. Para lograr esta estructura de grano fino se puede utilizar algún proceso que introduzca una deformación plástica severa, como el Procesamiento por Fricción Agitación (FSP). Sin embargo, se debe tener en cuenta la estabilidad térmica de la estructura obtenida, la cual está asociada a la capacidad que tiene la misma de soportar calentamientos sin que se produzca crecimiento anormal de grano. Por otra parte, el interés por obtener estructuras más livianas en la industria del transporte ha promovido a la incorporación de las aleaciones de magnesio.El objetivo de este trabajo es analizar la estabilidad térmica de una aleación de magnesio AZ31 procesada por fricción agitación.A partir de un lingote de AZ31 se obtuvieron chapas de 3 mm de espesor en condición inicial "as cast". Estas chapas fueron procesadas por fricción agitación bajo condiciones de procesamiento determinadas. Sobre muestras procesadas se realizaron tratamientos térmicos a 300, 350, 400 y 450 C por un tiempo de 10, 30 y 60 minutos. Estas 12 condiciones más el material base y el material "como procesado" fueron preparadas para observación metalográfica, obteniéndose el tamaño de grano promedio así como la distribución de tamaño de grano. Asimismo, se determinaron perfiles de microdureza Vickers en cada una de las muestras analizadas. Se evalúa la cinética del crecimiento de grano en función de la temperatura y el tiempo, siendo estos resultados de gran utilidad para el análisis del comportamiento superplástico de estas muestras procesadas en futuros trabajos.Palabras clave: aleaciones de magnesio, Procesamiento por Fricción-Agitación (FSP), estabilidad térmica, tamaño de grano. ABSTRACTSuperplasticity is defined by an extended plastic deformation previous to fracture, generally at high temperatures. In the mode of fine structures superplasticity, grain boundary sliding is the controlling mechanism. To achieve this fine grained structure it could be used any Severe Plastic Deformation (SPD) process like Friction Stir Processing (FSP). Nevertheless, it must be consider the thermal stability of the microstructure produced, which is related to its capacity to resist heating without experiment abnormal grain growth. The use of magnesium alloys has been promoted in the automotive industry in order to reduce weight of the structures.The aim of this work is to study the thermal stability of the AZ31 friction stir processed microstructure. Sheets of 3 mm thickness were obtained in as cast condition. These sheets were FSProcessed. Samples of AZ31 FSPed were heat treated to 300, 350, 400 and 450 ºC, during 10, 30 and 60 min. These 12 conditions plus the base material were microstructurally characterized. Vickers microhardness profiles were also measured. Grain growth kinetics...

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Microstructural observations and tensile fracture behavior of FSW twin roll cast AZ31 Mg sheets

Cited by 50 publications

References 42 publications

Fatigue Modeling Containing Hardening Particles and Grain Orientation for Aluminum Alloy FSW Joints

Fatigue Modeling Containing Hardening Particles and Grain Orientation for Aluminum Alloy FSW Joints

A Comparative Study on the Effect of Welding Parameters of Austenitic Stainless Steels Using Artificial Neural Network and Taguchi Approaches with ANOVA Analysis

Estabilidad térmica de aleaciones de magnesio Procesadas por Friccion-Agitación (FSP)

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