Microstructural evolution

Heidarzadeh, Akbar

doi:10.1533/9780857094551.65

Cited by 38 publications

(34 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results indicate that the TMAZ region bordering with the stir zone reaches the solution heat-treatment temperature allowing η precipitates to dissolve and re-precipitate. Temperatures higher than 400°C were estimated to be reached on this region [25,26]. A relationship between the stir zone grain size and the maximum weld temperature was studied performed by Sato et al [27].…”

Section: Fsw Temperature Measurement Methodsmentioning

confidence: 96%

“…The temperature distribution affects the weld microstructure, namely, grain size, grain boundary, coarsening and dissolution of precipitates [2,25]. Microstructure analysis rarely suggests the occurrence of melting at stir zone and the thereby associated liquation cracking [2,3].…”

Section: Fsw Temperature Measurement Methodsmentioning

confidence: 99%

“…The maximum temperature at the stir zone is believed to be below the melting point of the alloy due to no melting being observed and due to the dynamic recrystallization characteristic of this process [2,14]. Temperature has been estimated from the secondary phase dissolution, suggesting a peak temperature between 425 and 500°C [2,3,25]. For example, Su et al [26] studied microstructural development during FSW in AA7050-T651.…”

Section: Fsw Temperature Measurement Methodsmentioning

confidence: 99%

“…A relationship between the stir zone grain size and the maximum weld temperature was studied performed by Sato et al [27]. The study revealed that an increase of temperature leads to larger grain size [25,27]. The microstructure study only offers an estimate of the temperature during the process and is only possible by destructive testing of the joint.…”

Section: Fsw Temperature Measurement Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Temperature measurements during friction stir welding

Silva

Backer

Bolmsjö

2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The increasing industrial demand for lighter, more complex and multi-material components supports the development of novel joining processes with increased automation and process control. Friction stir welding (FSW) is such a process and has seen a fast development in several industries. This welding technique gives the opportunity of automation and online feedback control, allowing automatic adaptation to environmental and geometrical variations of the component. Weld temperature is related to the weld quality and therefore proposed to be used for feedback control. For this purpose, accurate temperature measurements are required. This paper presents an overview of temperature measurement methods applied to the FSW process. Three methods were evaluated in this work: thermocouples embedded in the tool, thermocouples embedded in the workpiece and the tool-workpiece thermocouple (TWT) method. The results show that TWT is an accurate and fast method suitable for feedback control of FSW.

show abstract

Section: Fsw Temperature Measurement Methodsmentioning

confidence: 96%

Section: Fsw Temperature Measurement Methodsmentioning

confidence: 99%

Section: Fsw Temperature Measurement Methodsmentioning

confidence: 99%

Section: Fsw Temperature Measurement Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Temperature measurements during friction stir welding

Silva

Backer

Bolmsjö

2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…It is clear that the grain size in the weld zone has a great influence on the mechanical properties of weld such as hardness, tensile strength, plasticity, and toughness properties, and therefore, fine-grain structure could enhance these properties (Asadi et al 2010b;Farrokhi et al 2013;Heidarzadeh et al 2014). Since it is difficult and time consuming to investigate experimentally the microstructure of weld, numerical simulations could be very applicable in different manufacturing processes (Liu et al 2013;Wang et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Microstructural simulation of friction stir welding using a cellular automaton method: a microstructure prediction of AZ91 magnesium alloy

Asadi

Givi

Akbari

2015

Int J Mech Mater Eng

View full text Add to dashboard Cite

Background: Recently, some researchers have simulated FSW using FEM and studied the influence of process parameters and tool geometry on material flow, welding force, and temperature and strain distributions during friction stir processing. Additionally, in terms of microstructure modeling, various approaches such as the Cellular Automaton (CA) model have been developed to simulate microstructural evolution during plastic deformation processes. Method: In this work, a finite element model (FEM) is established to study the microstructure evolution during friction stir welding (FSW) of AZ91 magnesium alloy. To this aim, first, the hot compression tests at different temperatures and strain rates were carried out to achieve the flow stress curves. Then, the hardening parameter, the recovery parameter and the strain rate sensitivity were calculated according to flow stress results and using the Kocks−Mecking model. Next, a continuum based thermo-mechanically coupled rigid-viscoplastic FEM model was proposed in Deform-3D software to simulate the FSW of AZ91 magnesium alloy. To evaluate microstructure of the weld zone a model is proposed based on the combination of Cellular Automaton and Laasraoui-Jonas models.

show abstract