scholarly journals Multiphysics Coupling Method to Simulate the Friction Stir Welding Process

2020 ◽  
Vol 25 (1) ◽  
pp. 92-96
Author(s):  
Willman Antonio Orozco Lozano ◽  
Jonathan Fábregas Villegas ◽  
Rafael Ramírez Restrepo ◽  
Javier Andrés Carpintero Durango ◽  
Jimy Unfried Silgado

In In this work the methods are developed to perform simulations of the friction stir welding process using the ANSYS software working scheme, developing multiphysics couplings between computational fluid dynamics tools to Model the viscoplastic effect of the fluidity of the material when it is stirred by means of a solid tool modeled in the Transient Structure application that allows calculating the thermo-mechanical effects of the study process. The results show the validations corresponding to the modeled and experimentally performed analysis showing a lot of reliability in the proposed method. The torque reached in the process is maintained in the ranges of 14 Nm, the maximum temperature reached in the process was 540°C, this being 78.3% of the melting temperature of the material studied, having an adequate range for these studies.

Author(s):  
Amin Abdollahzadeh ◽  
Behrouz Bagheri ◽  
Mahmoud Abbasi ◽  
Farzaneh Sharifi ◽  
Seyyed Ehsan Mirsalehi ◽  
...  

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.


2012 ◽  
Vol 155-156 ◽  
pp. 1180-1183 ◽  
Author(s):  
Lei Wang ◽  
Jian Jun Zhu ◽  
Kui Ying Yin ◽  
Hong You

A finite element model of radar cooling board friction stir welding process was built in ANSYS software based on an instantaneous relative linear velocity heat source model. Temporal and spatial temperature distribution disciplinarians were analyzed; results show that the peak temperature is lower than the base material melting point, as a result there is no material melt during the welding process. Temperatures change disciplinarily with the progress of welding process at each point.


2016 ◽  
Vol 693 ◽  
pp. 1339-1345
Author(s):  
Hong Feng Wang ◽  
J.L. Wang ◽  
W.W. Song ◽  
Dun Wen Zuo ◽  
Q.Q. Zhu

In this paper, the dynamometer for measuring the forces of the tool in FSW process was designed. The design principle of the dynamometer was adopted octagonal ring deformation to get the forces in FSW process. The design dynamometer was calibrated, the result showed the linearity and cross sensitivity of the dynamometer in allowed range, the worked reliable of the dynamometer was good. It can be used to measure the forces in FSW process.


2022 ◽  
Vol 73 ◽  
pp. 17-25
Author(s):  
Peng Gong ◽  
Yingying Zuo ◽  
Shude Ji ◽  
Dejun Yan ◽  
Zhen Shang

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