Optimization of friction stir spot welding process parameters for Al-Cu dissimilar joints using the energy of the vibration signals

Colmenero, Alberto Nacer; Orozco, Mario Sánchez; Macías, Emilio Jiménez; Blanco‐Fernández, Julio; Muro, Juan Carlos Sáenz-Díez; Fals, Hipólito Carvajal; Roca, Ángel Sánchez

doi:10.1007/s00170-018-2779-y

Cited by 24 publications

(10 citation statements)

References 20 publications

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“…The surface of the FSSW joint formed by the cylindrical pin at 2250 rpm shows smooth and shiny features, which is the typical Al-Cu FSSW joint characteristics. In addition, in the investigation conducted by Colmenero et al [55], when the Cu plate was located in the upper place, due to the higher melting point of Cu, a relatively high temperature was thus required for good plastic flow of the Cu material, which led to the oxidation on the joint upper surface (Cu plate), as shown in Figure 3b. To enhance the tensile load of the joint, multi-point Cu-Al FSSW was studied by Garg et al [43], and the surface topography of the joint was similar to that of a single solder joint, as shown in Figure 3c.…”

Section: Macroscopic Characteristics Of Welded Jointsmentioning

confidence: 99%

“…To enhance the tensile load of the joint, multi-point Cu-Al FSSW was studied by Garg et al [43], and the surface topography of the joint was similar to that of a single solder joint, as shown in Figure 3c. [55]; and (d) friction stir multi-spot welding [43].…”

Section: Macroscopic Characteristics Of Welded Jointsmentioning

confidence: 99%

“…For certain materials of Al and Cu sheets, the geometry of the welding tool and the process parameters are the two most important factors that can significantly affect the tensile properties of the FSSW joints. The majority of the related studies have been carried out on this basis (Table 5), and then achieved improvement of the joint tensile properties by parameter optimization [52,55].…”

Section: Tensile Propertiesmentioning

confidence: 99%

See 2 more Smart Citations

Friction Stir Spot Welding of Aluminum and Copper: A Review

Zhang

Wang

et al. 2019

Materials

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Aluminum (Al) and copper (Cu) have been widely used in many industrial fields thanks to their good plasticity, high thermal conductivity and excellent electrical conductivity. An effective joining of dissimilar Al and Cu materials can make full use of the special characteristics of these two metals. Friction stir spot welding (FSSW), as an efficient solid-state welding method suitable for joining of dissimilar metal materials, has great prospects in future industrial applications. In this paper, the FSSW studies on Al-Cu dissimilar materials are reviewed. The research progress and current status of Al-Cu FSSW are reviewed with respect to tool features, macroscopic characteristics of welded joints, microstructures, defects in welds and mechanical properties of joints. In addition, some suggestions on further study are put forward in order to promote the development and progress of Al-Cu FSSW studies in several respects: material flow, thermal history, addition of intermediate layer, auxiliary methods and functionalization of Al-Cu FSSW joint.

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Section: Macroscopic Characteristics Of Welded Jointsmentioning

confidence: 99%

Section: Macroscopic Characteristics Of Welded Jointsmentioning

confidence: 99%

Section: Tensile Propertiesmentioning

confidence: 99%

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Friction Stir Spot Welding of Aluminum and Copper: A Review

Zhang

Wang

et al. 2019

Materials

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“…The probability of F (0.05) > F is represented by the P value of the right-sided test. When the F value of the objective is greater than F (0.05) and the P value is less than 0.05, the factor has a significant effect on the objective [24,25]. The results of ANOVA show that for the ranges of the tested levels, the three process parameters have a significant influence on F zam , for which the most important factor is feed speed, the second most important is the roll-beating mode, and the least important is the spindle rotation speed.…”

Section: Significance Analysis Of Process Parameters To Objectivesmentioning

confidence: 99%

Process Parameters Decision to Optimization of Cold Rolling-Beating Forming Process through Experiment and Modelling

Yang

et al. 2019

Metals

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The cold roll-beating forming (CRBF) process is a particular cold plastic bulk forming technology for metals that is adequate for shaping the external teeth of important parts. The process parameters of the CRBF process were studied in this work to improve the process performance. Of the CRBF process characteristics, the forming forces, tooth profile angle, surface roughness, and forming efficiency were selected as the target indices to describe the process performance. Single tooth experimental tests of ASTM 1045 steel were conducted with different roll-beating modes, spindle rotation speeds, and feed speeds. Using analysis of variance (ANOVA) and regression analysis, the influence of the process parameters in each index was investigated, and regression models of each index were established. Then, the linear weighted sum method and compound entropy weight method were used to determine the process parameters for multi-objective optimization. The results show that the impact capacity and optimum value range of the process parameters vary in different indices, and that, to achieve the comprehensive optimum effect of a small forming force, high product quality, and high forming efficiency, the optimal process parameter combination is the up-beating mode, a spindle rotation speed of 801 r/min, and a feed speed of 960 mm/min.

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“…It was reported that interactions [1] between rotational speed and plunge depth influenced the shear strength of the joint. Optimization of friction stir spot welding of al-cu joints was carried out to predict the joint strength and energy of vibration signals [25]. RSM was followed to find the optimized parameters.…”

Section: Introductionmentioning

confidence: 99%

Selection of best process parameters for friction stir welded dissimilar Al-Cu alloy: a novel MCDM amalgamated MORSM approach

Medhi

Hussain

Roy

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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The paper focuses on developing a novel decision-making model, to select the best welding parameters for friction stir welding of dissimilar aluminium to copper plates. A set of 21 experiments are carried out based on a d-optimal design matrix. Apart from considering the rotational speed and traverse speed as input variables, the position of aluminium and copper either in the advancing or retreating side is also considered as an input variable. On the successful fabrication of joints, the ultimate tensile strength, elongation, hardness and impact energy are estimated experimentally which are considered as performance parameters. The proposed decision-making process is categorized under multi-criteria decision-making (MCDM) methods. In the first phase, the novel MCDM model is applied to select the best welding parameters. The concept of the model is to minimize the risk of not attaining the global best result. The results obtained by the MCDM method is justified by carrying out a sensitivity analysis and finally validated with the results obtained from the fuzzy logic decision-making approach. The second phase is related to the computation of optimized values for the joining process that reports the development of a mathematical model by response surface methodology to predict different performance parameters. This is followed by conducting a trade-off analysis by developing a multi-objective response surface methodology (MORSM) that computes the optimal welding parameters. Finally, a confirmatory test is carried out for validation of the proposed MORSM model.

show abstract

Optimization of friction stir spot welding process parameters for Al-Cu dissimilar joints using the energy of the vibration signals

Cited by 24 publications

References 20 publications

Friction Stir Spot Welding of Aluminum and Copper: A Review

Friction Stir Spot Welding of Aluminum and Copper: A Review

Process Parameters Decision to Optimization of Cold Rolling-Beating Forming Process through Experiment and Modelling

Selection of best process parameters for friction stir welded dissimilar Al-Cu alloy: a novel MCDM amalgamated MORSM approach

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