Comparative study on local and global mechanical properties of bobbin tool and conventional friction stir welded 7085-T7452 aluminum thick plate

Xu, Wei; Luo, Yuxuan; Zhang, Wei; Fu, Ming

doi:10.1016/j.jmst.2017.05.015

Cited by 73 publications

(16 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This study also concluded that the highest peak temperature measurement for all welds was found on the AS. This result is consistent with findings found by Esmaily et al [8] and Xu et al [13].…”

Section: Resultssupporting

confidence: 94%

“…During the welding, the bobbin tool swept and stirs the solid material from the AS and changes the solid material into the softened material and allow the material flow around the tool pin before retreating and cooled on the RS of the weld. The material in AS more solid than the material on the RS, thus, it requires high frictional resistance and plastic shear forces so that more frictional heat can be produced on AS of the weld [13]. To describe further on the phenomenon happened during BFSW, three thermal positions were analysed.…”

Section: Welding Force Measurementmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Current, Force and Temperature Signals on Welding Formation of Bobbin Friction Stir Welded AA1100

Sued

Nasir

Abidin

2021

IJAME

View full text Add to dashboard Cite

Understanding process response through measuring process signal provides on-site information in the area of process monitoring, which saves time and costs. The type of signals depends upon the type of process, equipment and machines used through sensors attached on the equipment used in the process. This is an important method for detecting changes in the process that reflect the condition or quality of the weld. The benefits of this method, however, has not been well performed for Bobbin friction welding. This process is different from conventional friction welding due to the different process set-up in term of tooling and parameters, hence the need to evaluate the signal response. Consequently, signal measuring for welding plate AA1100 was carried out. Tool rotation ranged from 750 rpm to 950 rpm with a fixed travel rate of 130 mm/min on a CNC milling machine and a fixed spacing tool. During the joining process, welding temperature, current consumption and welding force were measured. The resulting data were then plotted on the X-Y axis chart and mapped using the welded plate identifying the welding phase. From the welding force and current measurement, it is found that high force and current is detected at the tool entry phase and exit. As the tool moves towards the end of the plate, the temperature increased. The highest current and strength are measured when the spindle speed is at the lowest, while the highest temperature is at the fastest spindle speed. In weld phase, a current of approximately 6.5 A, a force of 1 kN and a temperature of 320º was measured. A maximum weld strength of 102.860 MPa achieved using a speed of 950 rpm. A slow spindle speed at the entrance area and a high spindle speed at the weld phase are needed to optimise the process.

show abstract

Section: Resultssupporting

confidence: 94%

Section: Welding Force Measurementmentioning

confidence: 99%

Evaluation of Current, Force and Temperature Signals on Welding Formation of Bobbin Friction Stir Welded AA1100

Sued

Nasir

Abidin

2021

IJAME

View full text Add to dashboard Cite

show abstract

“…It was reported that the mechanical testing of the weld processed using FSW was higher than the BFSW [10] but in other studies [11] found that the mechanical testing of BFSW weld is slightly higher than the FSW. Although there is a contradict results from both but these findings [10], [11] only applied a certain parameter value and no parameter optimization has clarified. To date, there are several investigations on optimizing the BFSW process.…”

Section: Introductionmentioning

confidence: 86%

Optimization of Bobbin Friction Stir Welded 1100 Aluminum Alloys using Response Surface Methodology

Nasir¹,

Sued²,

Abidin³

2019

IJRTE

View full text Add to dashboard Cite

This paper presents the modelling of the mechanical properties of the bobbin friction stir welded of 6 mm thick AA1100 with control factors of spindle and welding speeds. Face-centered composite design (FCCD) was used to design the experimental work and the results of the responses and the combination of factors were analyzing through analysis of variance (ANOVA). From ANOVA, the result indicates that both spindle and welding speed influence significantly the tensile strength and average hardness at SZ of AA1100. The optimum factors for maximum tensile strength and average hardness of the AA1100 were 950 rpm and welding speed of 130 mm/min. Both models giving a relative small percentage error of 0.8 % and 1.64 % for tensile strength model and average hardness in stir zone (SZ) region, respectively, thus indicate the models were adequate.

show abstract

“…Figure 1 shows the welder tool's movement and immersion in the weld piece. The thermal cycle significantly affected the plastic deformation that occurred near the weld region [12]; this may be due to the plastic deformation and low temperatures encountered during welding. In addition, there are grains in the stirred zone because of severe plastic deformation, which has resulted in the formation of the dynamic recrystallized zone [13].…”

Section: Heat Generation Modelsmentioning

confidence: 99%

Modeling of Heat Energies and Forces in Friction Stir Welding

Hadi¹

2021

International Journal of Mechanical Engineering and Technology (Ijmet)

View full text Add to dashboard Cite

Since its inception, friction stir welding, FSW has been promising easy operation and environmental stewardship through contact friction between the tool and the weld part. The Aluminum alloy 2024-T351 was used in both working pieces. Six processes in FSW may include sticking, plunging into the welding pieces, half and full sliding, full welding along the joint line for the weld to be created, and spacing when picking away the welding tool from the weld. In determining the weld quality, their values should be within a safe range during the welding process, to derive heat from friction, modifying the parameters of the process causes variation in force in the traverse and axial directions. The ability to measure forces and understand their relationship with welding parameters is essential to a successful FSW energy strategy. The analytical models presented in this study depict each welding phase as it occurs and can be applied to predict welding forces and the heat energies.

show abstract

Comparative study on local and global mechanical properties of bobbin tool and conventional friction stir welded 7085-T7452 aluminum thick plate

Cited by 73 publications

References 24 publications

Evaluation of Current, Force and Temperature Signals on Welding Formation of Bobbin Friction Stir Welded AA1100

Evaluation of Current, Force and Temperature Signals on Welding Formation of Bobbin Friction Stir Welded AA1100

Optimization of Bobbin Friction Stir Welded 1100 Aluminum Alloys using Response Surface Methodology

Modeling of Heat Energies and Forces in Friction Stir Welding

Contact Info

Product

Resources

About