Modeling strain hardening and texture evolution in friction stir welding of stainless steel

Cho, Jae-Hyung; Boyce, Donald E.; Dawson, Paul R.

doi:10.1016/j.msea.2005.03.002

Cited by 183 publications

(106 citation statements)

References 28 publications

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“…Furthermore, the Eulerian formulation was used by Cho et al [103] for the thermomechanical investigation of the process. However, in the model the transient temperature was not considered and also the effect of the temperature on the viscosity was neglected.…”

Section: Lagrangian Eulerian Methodsmentioning

confidence: 99%

A Comparison of Different Finite Element Methods in the Thermal Analysis of Friction Stir Welding (FSW)

Meyghani

Awang

Emamian

et al. 2017

Metals

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Friction Stir Welding (FSW) is a novel kind of welding for joining metals that are impossible or difficult to weld by conventional methods. Three-dimensional nature of FSW makes the experimental investigation more complex. Moreover, experimental observations are often costly and time consuming, and usually there is an inaccuracy in measuring the data during experimental tests. Thus, Finite Element Methods (FEMs) has been employed to overcome the complexity, to increase the accuracy and also to reduce costs. It should be noted that, due to the presence of large deformations of the material during FSW, strong distortions of mesh might be happened in the numerical simulation. Therefore, one of the most significant considerations during the process simulation is the selection of the best numerical approach. It must be mentioned that; the numerical approach selection determines the relationship between the finite grid (mesh) and deforming continuum of computing zones. Also, numerical approach determines the ability of the model to overcome large distortions of mesh and provides an accurate resolution of boundaries and interfaces. There are different descriptions for the algorithms of continuum mechanics include Lagrangian and Eulerian. Moreover, by combining the above-mentioned methods, an Arbitrary Lagrangian-Eulerian (ALE) approach is proposed. In this paper, a comparison between different numerical approaches for thermal analysis of FSW at both local and global scales is reviewed and the applications of each method in the FSW process is discussed in detail. Observations showed that, Lagrangian method is usually used for modelling thermal behavior in the whole structure area, while Eulerian approach is seldom employed for modelling of the thermal behavior, and it is usually employed for modelling the material flow. Additionally, for modelling of the heat affected zone, ALE approach is found to be as an appropriate approach. Finally, several significant challenges and subjects remain to be addressed about FSW thermal analysis and opportunities for the future work are proposed.

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Section: Lagrangian Eulerian Methodsmentioning

confidence: 99%

A Comparison of Different Finite Element Methods in the Thermal Analysis of Friction Stir Welding (FSW)

Meyghani

Awang

Emamian

et al. 2017

Metals

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“…The cause of the decrease in P S value from AS to RS is less clear but it may be related to temperature heterogeneity in SZ during FSW. For example, Cho et al 14) have found experimentally that temperature in AS is higher than in RS. Higher temperature (under the same other conditions) shall lead to faster diffusion of constituent atoms as well as longer cooling time and, therefore, to more complete particles precipitation.…”

Section: Precipitation Of Particlesmentioning

confidence: 99%

Grain Growth Behaviors in a Friction-Stir-Welded ZK60 Magnesium Alloy

2007

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Grain growth during annealing of a friction-stir-welded (FSWed) ZK60 magnesium alloy has been investigated. We have found that (1) thermal stability exhibited in different parts of stirred zone (SZ) was very different, (2) grain growth was fairly abnormal, and (3) grain growth was directional and shapes of developed grains resembled flow patterns inherent to FSWed structure. We have shown that all peculiarities of the grain growth behaviors can be explained in terms of heterogeneous distribution of second phase particles resulted from FSW.

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“…Recently, applications have been extended to high temperature materials such as stainless steel, titanium and nickel alloys [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Microstructural evolution in friction stir welded API 5L-X52 steel

Gharibshahiyan¹,

Honarbakhsh-Raouf²,

Parvin³

2015

International Advanced Research Journal in Science, Engineering

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Welded API-5L steel pipes have been extensively used in the oil industry. One of the major parameters affecting the mechanical properties is the grain size, which is altered with the joining method. In this paper microstructural evolution in the friction stir welded API 5L-X52 steel pipes has been investigated.Specimens were cut from a 2mm thick API 5L-X52 steel pipe. The steel sheets were then joined by friction stir welding process; at a linear speed of 100 mm/min. The tool rotational speed was varied from 400 to 800 rpm. Samples were then evaluated using tensile test, metallographic and hardness measurements. Microstructural investigations revealed the stir zone, heat affected zone and thermo mechanically affected zones. Heat input in the stir zone led to the formation of elongated austenite grains which were transformed to fine ferrite and pearlite grains and widmanstatten ferrite in certain regions. Plastic deformation and recrystallization enhanced the hardness and tensile strength as well as toughness of the welded joint in the API 5L-X52 steel.

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Modeling strain hardening and texture evolution in friction stir welding of stainless steel

Cited by 183 publications

References 28 publications

A Comparison of Different Finite Element Methods in the Thermal Analysis of Friction Stir Welding (FSW)

A Comparison of Different Finite Element Methods in the Thermal Analysis of Friction Stir Welding (FSW)

Grain Growth Behaviors in a Friction-Stir-Welded ZK60 Magnesium Alloy

Microstructural evolution in friction stir welded API 5L-X52 steel

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