Model-based proposal of a control strategy for friction stir welding

Esteban, Norena A.; Suárez, Alejandro Rosete; Zuluaga, Maria P.; Hoyos, Elizabeth; Montoya, Yesid

doi:10.1109/ccac.2019.8920996

Cited by 5 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The graphical results presented in Figure 7a) and b) indicate that, at low rotation and travel speeds, good welds are obtained and vice versa [26]. The weld quality is described in the present work, for AA7075-T6 and AA2024-T3 position controlled butt-welded joints [18], [19]. Figure 7 shows that an increase in the travel speed, inversely proportional to the temperature, considerably decreases the quality of the joint, regardless of the aluminum alloy used.…”

Section: Results and Analysissupporting

confidence: 63%

“…Figure 5. Strain rates estimated for a) DEV and b) ASR models; for different parameter combinations from: [18], [19] The two proposed models were compared using the same operating parameters, it was found that the relationship between the strain rates of the DEV model with respect to the ASR model varies from 1.2 to 1.4, but also the correlation between them is 0.996. These results show that both models maintain the same trend despite the fact that they start from different assumptions.…”

Section: Results and Analysismentioning

confidence: 99%

“…The increase in yield stress with the strain rate required to produce the deformation at high temperature explains the correlation between the generation of defects in the FSW process and (𝑣 𝑜 , 𝜔 𝑜 ). Since the travel and rotation speeds are related to the strain rate according to the models proposed in this work, it is possible to establish a direct correlation between strain rate and the presence of defects in the welds by using previously developed process maps [18], [19]. Data for the maps was obtained by performing welds on a 7XXX and a 2XXX series aluminum alloys for selected parameter combinations and subsequently inspected using non-destructive testing.…”

Section: Results and Analysismentioning

confidence: 99%

“…Figure 7. A process map developed for a) AA2024-T3 and b) 7075-T6 [18], [19] The inversely proportional dependence between the quality of the welds and the strain rate is assumed in this work to be related to the stick-slip coefficient, , of the FSW process. This coefficient, is calculated according to the hypothesis of the inverse proportionality between strain rate and weld quality:…”

Section: Results and Analysismentioning

confidence: 99%

See 3 more Smart Citations

Approach to plastic deformation and strain rate in FSW process

et al. 2021

View full text Add to dashboard Cite

In this work, two simple models to calculate the strain rate at which material deforms during the friction stir welding, FSW, process, are proposed. In both cases, predictions are associated with operational parameters such as, rotational and travel speed and tool pin radius. A first model is based on the analysis of the strain experienced by the material on the periphery of the pin associated with the rotation and displacement present during the joining process. The second one is based on the resemblance of FSW with an asymmetric rolling process in which a dramatic strain gradient takes place. Using these models, and employing fitting parameters, it is possible to estimate the mean deformation rate during the FSW process. Very reasonable values, which fall in the range of strain rate data reported in the literature, are obtained. This new view should allow determining equivalent experimental conditions (strain, strain rate and temperature in conventional uniaxial tests) under which this joining process occurs. This is critical to predict weld quality.

show abstract

Section: Results and Analysissupporting

confidence: 63%

Section: Results and Analysismentioning

confidence: 99%

Section: Results and Analysismentioning

confidence: 99%

Section: Results and Analysismentioning

confidence: 99%

See 2 more Smart Citations

Approach to plastic deformation and strain rate in FSW process

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Noreña et al [57] proposed a model consisting of a set of algebraic equations showing how mass and energy in terms of power consumption are transformed along the process to predict the soundness of the joint. This model was developed for conducting the welding process on non-dedicated FSW machines.…”

Section: Fsw Modellingmentioning

confidence: 99%

A Review of Optimization and Measurement Techniques of the Friction Stir Welding (FSW) Process

Prabhakar,

Korgal,

Shettigar

et al. 2023

JMMP

View full text Add to dashboard Cite

This review reports on the influencing parameters on the joining parts quality of tools and techniques applied for conducting process analysis and optimizing the friction stir welding process (FSW). The important FSW parameters affecting the joint quality are the rotational speed, tilt angle, traverse speed, axial force, and tool profile geometry. Data were collected corresponding to different processing materials and their process outcomes were analyzed using different experimental techniques. The optimization techniques were analyzed, highlighting their potential advantages and limitations. Process measurement techniques enable feedback collection during the process using sensors (force, torque, power, and temperature data) integrated with FSW machines. The use of signal processing coupled with artificial intelligence and machine learning algorithms produced better weld quality was discussed.

show abstract