Study of ultrasonic vibrations’ effect on friction stir welding

Amini, Saeid; Amiri, Maryam

doi:10.1007/s00170-014-5806-7

Cited by 91 publications

(44 citation statements)

References 10 publications

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“…Revisiting of extrusion cutting was attempted in the beginning of the twenty-first century [61][62][63][64][65][66][67][68]. A research team from Purdue University obtained patent US 7,617,750 (2009) "Process of producing nanocrystalline bodies" and filed patent application US 2014/0017113 (2014) "Large strain extrusion machining processes and bulk forms produced therefrom."…”

Section: Large Strain Extrusionmachining (Lsem)mentioning

confidence: 99%

“…Furthermore, a part of the mechanical inelastic work transforms to heat, so a part of the heat flux q is a function of the flow stress and the plastic strain [64]. Each material point in the cutting tool and the workpiece should satisfy simultaneously the Mechanical (3.17) and Thermal (3.18) equilibrium equations that are strongly coupled, since the stress tensor (σ), in the mechanical equilibrium equation, depends on the temperature variable (T).…”

Section: Examples Of Employmentsmentioning

confidence: 99%

“…ECM generates no burrs or stress and has a longer tool life, with damage-free machined surface, high MRR, and surface quality [64,65]. ECM is an economical process and applies in the machining of high strength and heat resistant materials into complex shapes which are difficult to machine by conventional techniques.…”

Section: Electrochemical Machiningmentioning

confidence: 99%

“…This has attracted many researchers to work in this area more intensively. Amini et al [64] studied the effect of ultrasonic vibrations on process parameters in FSW process. He further found that as the amplitude of ultrasonic vibration increases, the axial force decreases correspondingly.…”

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Modern Manufacturing Engineering

Davim¹

2015

Materials Forming, Machining and Tribology

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Section: Large Strain Extrusionmachining (Lsem)mentioning

confidence: 99%

Section: Examples Of Employmentsmentioning

confidence: 99%

Section: Electrochemical Machiningmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Modern Manufacturing Engineering

Davim¹

2015

Materials Forming, Machining and Tribology

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“…The impact of ultrasonic vibration observed in higher traverse speeds increases temperature in FSW region. Amini and Amiri [8] investigated the effect of ultrasonic vibration on FSW of AA6061-T6. They studied FSW forces and temperature together with tensile strength and hardness of the workpiece and reached the same results as of Ruilin et al [7].…”

mentioning

confidence: 99%

Experimental evaluation of ultrasonic-assisted friction stir process effect on in situ dispersion of multi-walled carbon nanotubes throughout polyamide 6

Zinati

2015

Int J Adv Manuf Technol

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The present article offers a modified method of friction stir process combined with ultrasonic vibrations in order to reinforce polyamide 6 (PA 6) using multi-walled carbon nanotubes (MWCNT). For this purpose, ultrasonicassisted friction stir process and simple friction stir process were performed to distribute the MWCNT particles among the PA 6. Field emission type of scanning electron microscopy, X-ray diffraction, Vickers' micro-hardness, and visual inspection were used to evaluate and compare properties of the fabricated nano-composites. According to the findings, increase of traverse speed leads to increase of the stir intensified by the energy imposed by ultrasonic vibrations during ultrasonic-assisted friction stir process (UAFSP). On the other hand, energy imposed by ultrasonic vibrations accelerates nano-composite fabrication process without affecting dispersion, homogeneity, and hardness. In other words, nanocomposite could be fabricated by higher traverse speed without reduction of stirring during UAFSP.

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Improving the Mechanical Property of Dissimilar Al/Mg Zn‐Added Ultrasound‐Assisted Friction Stir Lap Welding Joint by Back Propagation Neural Network–Gray Wolf Optimization Algorithm

Song

Ren

et al. 2019

Adv Eng Mater

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Process parameters of rotating velocity, welding speed, Zn interlayer thickness, and ultrasound power are optimized by the hybrid of back propagation neural network (BPNN) and gray wolf optimization algorithm (GWOA) to obtain a high‐quality Zn‐added ultrasound‐assisted friction stir lap welding joint of 7075‐T6 Al/AZ31B Mg dissimilar alloys. The results state that the prediction accuracy of the trained BPNN model is acceptable. The optimal process parameters combination is obtained by the GWOA which is combined with the trained BPNN. The verification tests are performed under the executable optimal solution, which consists of the rotating velocity of 1054 rpm, the welding speed of 54 mm min−1, the Zn interlayer thickness of 0.05 mm, and the ultrasound power of 1568 W. The tensile shear load of the joint reaches 9.05 kN, and the strength is 11.8% larger than that of the reported optimal joint. The artificial intelligence optimization method of GWOA combined with BPNN can accurately predict and optimize the joint strength, which has great time and economic advantages.

show abstract

Study of ultrasonic vibrations’ effect on friction stir welding

Cited by 91 publications

References 10 publications

Modern Manufacturing Engineering

Modern Manufacturing Engineering

Experimental evaluation of ultrasonic-assisted friction stir process effect on in situ dispersion of multi-walled carbon nanotubes throughout polyamide 6

Improving the Mechanical Property of Dissimilar Al/Mg Zn‐Added Ultrasound‐Assisted Friction Stir Lap Welding Joint by Back Propagation Neural Network–Gray Wolf Optimization Algorithm

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