Experimental investigation and numerical analysis using Taguchi and ANOVA methods for underwater friction stir welding of aluminium alloy 2017 process improvement

madani, tahar; Boukraa, Moustafa; Aissani, Mouloud; Chekifi, Tawfiq; Ziadi, A.; zirari, mounir

doi:10.1016/j.ijpvp.2022.104879

Cited by 33 publications

(11 citation statements)

References 30 publications

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“…If the p -value is lower than 0.05, this indicates that the model is statistically significant. 28 As shown in Table 5, effects of linear terms and squared terms of angle and protruding length were statistically significant on Lorentz force. On the other hand, the two-factor interaction terms were insignificant.…”

Section: Resultsmentioning

confidence: 87%

Selection of design parameters of working coil for Al/Cu tubular Magnetic Pulse Welding

Shim,

Kim

2023

Advances in Mechanical Engineering

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MPW produces a high Lorentz force for welding through the interaction of magnetic fields between the working coil and outer workpiece. Therefore, the design of the working coil is crucial in the MPW process. In particular, it is important to understand and estimate the distribution of Lorentz force on the outer tube and the stress on the working coil. These factors greatly impact the efficiency of energy delivery and the durability of the process. The purpose of this research was to analyze the effect of coil design parameters on the Lorentz force and stress. The ultimate objective was to optimize these design parameters specifically for welding tubular workpieces; for this, an electromagnetic-mechanical FE-model was developed. The design parameters considered in this study included the angle, radius, and protruding length. The Lorentz force and stress were calculated based on these parameters. Notably, the response surface method (RSM) and sequential quadratic programing (SQP) were utilized to develop a prediction model and optimize the design parameters, respectively. The findings revealed that the protruding length and angle are significant design parameters. Consequently, a working coil was manufactured using the optimized design parameters, leading to a successful Al/Cu joint. These results emphasize the indispensability of optimizing design parameters to achieve high-quality joints.

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Section: Resultsmentioning

confidence: 87%

Selection of design parameters of working coil for Al/Cu tubular Magnetic Pulse Welding

Shim,

Kim

2023

Advances in Mechanical Engineering

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“…Where A, λ, V, and I are the correlation coefficient matrix, Eigenvalue, eigenvector, and identity matrix. The equation (12) generates the principal components (PC i ).…”

Section: Calculation Of Weights-principal Component Studymentioning

confidence: 99%

Process parameters settings of friction stir welding using multi-response optimization for aluminum alloys

Pandav,

Patil,

Pandipati

2024

Eng. Res. Express

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The defense and aerospace industries utilize the AA2050, an aluminum-lithium alloy of the third generation. Principal component analysis (PCA) and Taguchi-grey relational analysis (GRA) are utilized in this study to enhance the process constraints for friction stir welding (FSW). The quality of the weld can be influenced by various process factors such as the speed at which the weld is traversed, the speed at which the tool is rotated, the angle at which the tool is tilted, the diameter of the shoulder, and the shape of the tool pin. The combination of PCA and the well-known Taguchi-GRA approach enables the objective estimation of response weights. Here, a Taguchi L16 orthogonal array was designed, and sixteen tests were carried out using it. These experiments were conducted with various assessments including tensile strength, yield strength, elongation percentage, hardness of the weld zone, bending load, etc. Through the utilization of Taguchi-GRA-PCA analysis, the most suitable process parameters were identified as a traverse speed (TS) of 160 mm/min, a rotating speed (RS) of 900 rpm, a tilt angle (TA) of 2 degrees, a shoulder diameter (SD) of 16 mm, and with a straight square tool pin profile (TPP). ANOVA revealed the relevance of all five characteristics, with rotational speed being the most influential, accounting for 43.56% of the entire result. A confirmation experiment done under ideal conditions revealed a significant improvement in total weld quality of 19.06%.

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“…The optimization process for the RSM based on CCD involves finding the optimal values of BFSA and RCS replacement percentages to achieve the desired response variable while considering any constraints that may exist. The first step is to generate a mathematical model using experimental data and validate it through ANOVA [41,42] . Once the model is validated, optimization techniques can be employed to determine the optimal values of the input variables (BFSA and RCS) for the desired response variable.…”

Section: Optimization Processmentioning

confidence: 99%

Response surface methodology use in optimization of concrete properties using blast furnace slag aggregate and recycled concrete sand

Poonam,

Singh

2023

Res. Eng. Struct. Mat.

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The utilization of waste materials in concrete plays a crucial role in sustainable construction by contributing to environmental conservation and enhancing concrete properties. However, waste management and sustainable construction present significant challenges within the construction industry. This study specifically focuses on the optimization of concrete properties by utilizing Blast furnace slag aggregate (BFSA) as coarse aggregate (CA) and recycled concrete sand (RCS) as fine aggregate (FA). To assess the impact of BFSA and RCS replacement parameters, response surface methodology (RSM) based on central composite design (CCD) was employed. The RSM regression equations generated in this study demonstrated high R2 values (>0.8), indicating their capability to explain the variability observed in the responses. To assess the impact of BFSA and RCS replacement parameters, response surface methodology (RSM) based on central composite design (CCD) was employed. In conclusion, the implementation of RSM enables the incorporation of waste materials into concrete, resulting in waste reduction without significant effects on concrete properties.

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Experimental investigation and numerical analysis using Taguchi and ANOVA methods for underwater friction stir welding of aluminium alloy 2017 process improvement

Cited by 33 publications

References 30 publications

Selection of design parameters of working coil for Al/Cu tubular Magnetic Pulse Welding

Selection of design parameters of working coil for Al/Cu tubular Magnetic Pulse Welding

Process parameters settings of friction stir welding using multi-response optimization for aluminum alloys

Response surface methodology use in optimization of concrete properties using blast furnace slag aggregate and recycled concrete sand

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