Application of integrated CRITIC and GRA-based Taguchi method for multiple quality characteristics optimization in laser-welded blanks

Saeheaw, Teerapun

doi:10.1016/j.heliyon.2022.e11349

Cited by 17 publications

(12 citation statements)

References 27 publications

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“…In the equations above, x i ( k ) represents normalized data, i indicates the number of experimental runs, y i ( k ) shows the S/N ratio of the mechanical data, x 0 ( k ) shows ideal sequence, Δ 0 i ( k ) is the absolute difference of x 0 ( k ) and x i ( k ), ζ is distinguishing coefficient (0–1), and a value of 0.5 is assigned for equal and uniform influence of each parameter. , The minimum and maximum mechanical data deviations are represented by Δ min and Δ max , respectively, while n indicates the number of process responses.…”

Section: Resultsmentioning

confidence: 99%

Creating Sustainable Composites from Pyrolyzed Burlap and Ocean-Recycled Plastics using FDM

Hassan,

Pal,

Rodriguez-Uribe

et al. 2024

ACS Sustainable Chem. Eng.

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The study focuses on the mechanical performance of a blend of ocean-recycled high-density polyethylene (rHDPE) and polypropylene (rPP) and explores the effect of adding burlap biocarbon from post-industrial waste as a filler. This study aims to upcycle ocean-recycled plastic and post-industrial waste and to compare the conventional injection molding with 3D printing. The Taguchi-gray relational analysis was utilized to determine the preferred printing conditions for both the rHDPE–rPP blend and the rHDPE–rPP–biocarbon composite. The study found that the preferred printing conditions for the rHDPE–rPP blend were a raster angle of 0°, a printing speed of 900 mm/min, and a nozzle temperature of 215 °C, while the preferred printing conditions for the rHDPE–rPP–biocarbon composite were a raster angle of 0°, a printing speed of 1200 mm/min, and a nozzle temperature of 255 °C. The study also compared the mechanical properties of 3D printed and injection-molded samples, with the 3D printed rHDPE–rPP blend samples, demonstrating higher tensile and flexural moduli with a percent increase of 7 and 12%, respectively, compared to the injection-molded counterparts. However, no considerable difference in tensile and flexural modulus was observed between 3D printed and injection-molded samples of the rHDPE–rPP–biocarbon composite. Moreover, it was also found that the addition of biocarbon resulted in an enhancement in the tensile and flexural modulus of the optimized 3D printed specimen with an increase of 17 and 5%, respectively. However, both the 3D printed rHDPE–rPP blend and rHDPE–rPP–biocarbon composite exhibited a decrease in impact strength of 63 and 23%, respectively, compared to the injection-molded counterparts.

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Section: Resultsmentioning

confidence: 99%

Creating Sustainable Composites from Pyrolyzed Burlap and Ocean-Recycled Plastics using FDM

Hassan,

Pal,

Rodriguez-Uribe

et al. 2024

ACS Sustainable Chem. Eng.

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“…To comprehensively assess each indicator of the mice, we employed the Criteria Importance Through Inter-criteria Correlation (CRITIC) method. This method was utilized to determine the objective criteria weights based on the experimental data, eliminating any influence from decision-makers and ensuring optimal conditions for both the strength and width 41 . The specific comprehensive scores for each mouse, derived from the CRITIC method using anxiety and depression indicators, can be found in the online Experimental data.…”

Section: Methodsmentioning

confidence: 99%

Levy statistics define anxiety and depression in mice subjected to chronic stress

Li¹,

Nie

Zhang³

et al. 2023

Preprint

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Anxiety and depression are considered coping mechanisms organisms adopt in response to external stressors. We employed Levy statistics to investigate the movement patterns of rodent models subjected to stress and compared them to non-stressed controls. Our analysis revealed that stressed mice exhibited heavy-tailed distributions in open fields, consistent with the Levy flights utilized by animal predators in search of scarce food sources. In contrast, non-stressed mice demonstrated a normal distribution of speed. We used the two-dimensional Kolmogorov-Smirnov test to identify significant differences in the γ and μ parameters derived from Levy flight between anxiety, depression, and control mice. Additionally, we employed the support vector machine algorithm to determine the optimal separation of each group. Furthermore, our mathematical model demonstrated the therapeutic effects of fluoxetine. These findings have the potential to contribute to the development of more precise definitions of anxiety and depression, as well as facilitate the evaluation of pharmaceutical developments.

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“…(2016). Saeheaw (2022) introduced the CRITIC-GRA multicriteria decision-making technique to provide the best optimal from six input parameters to achieve simultaneous higher weld strength and lower weld width of laser welded blanks. Huang et al .…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, the gray-based Taguchi methodology was used for process parameters optimization on MIG welding of 316 SS by Ghosh et al (2016). Saeheaw (2022) introduced the CRITIC-GRA multicriteria decision-making technique to provide the best optimal from six input parameters to achieve simultaneous higher weld strength and lower weld width of laser welded blanks. Huang et al (2022) utilized the RSM optimization technique to study the effect of process parameters on the crack rate during CMT welding of AA6061-T6 alloy sheets.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria decision-making for optimization of welding parameters in cold metal transfer and pulse metal-inert gas weld bead of AA2099-T86 alloy using CRITIC and ROV methods

Singh,

Yuvaraj,

Wattal

2024

MMMS

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PurposeThe criteria importance through intercriteria correlation (CRITIC) and range of value (ROV) combined methods were used to determine a single index for all multiple responses.Design/methodology/approachThis paper used cold metal transfer (CMT) and pulse metal-inert gas (MIG) welding processes to study the weld-on-bead geometry of AA2099-T86 alloy. This study used Taguchi's approach to find the optimal setting of the input welding parameters. The welding current, welding speed and contact-tip-to workpiece distance were the input welding parameters for finding the output responses, i.e. weld penetration, dilution and heat input. The L9 orthogonal array of Taguchi's approach was used to find out the optimal setting of the input parameters.FindingsThe optimal input welding parameters were determined with combined output responses. The predicted optimum welding input parameters were validated through confirmation tests. Analysis of variance showed that welding speed is the most influential factor in determining the weld bead geometry of the CMT and pulse MIG welding techniques.Originality/valueThe heat input and weld bead geometry are compared in both welding processes. The CMT welding samples show superior defect-free weld beads than pulse MIG welding due to lesser heat input and lesser dilution.

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Application of integrated CRITIC and GRA-based Taguchi method for multiple quality characteristics optimization in laser-welded blanks

Cited by 17 publications

References 27 publications

Creating Sustainable Composites from Pyrolyzed Burlap and Ocean-Recycled Plastics using FDM

Creating Sustainable Composites from Pyrolyzed Burlap and Ocean-Recycled Plastics using FDM

Levy statistics define anxiety and depression in mice subjected to chronic stress

Multicriteria decision-making for optimization of welding parameters in cold metal transfer and pulse metal-inert gas weld bead of AA2099-T86 alloy using CRITIC and ROV methods

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