Fiber laser microcutting on duplex steel: parameter optimization by TOPSIS

Gopinath, C.; Lakshmanan, Poovazhagan; Palani, Sarangapani

doi:10.1080/10426914.2021.1981939

Cited by 19 publications

(5 citation statements)

References 38 publications

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“…Duplex stainless steel is a resource-saving, high-performance steel product, and its production and application are consistent with the future development of stainless steel [1][2][3][4][5][6][7]. The development of ocean-related resources has always been a research hotspot.…”

Section: Introductionmentioning

confidence: 77%

Seawater Corrosion Resistance of Duplex Stainless Steel and the Axial Compressive Stiffness of Its Reinforced Concrete Columns

Ren,

Fang,

Wang

et al. 2023

Materials

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In order to explore the corrosion resistance of duplex stainless steel under seawater corrosion and the compressive stiffness of its reinforced concrete columns, this study first performed seawater corrosion resistance tests on HRB400 ordinary steel rebar and S32205 duplex stainless steel rebar. The effect of the corrosion product film on the corrosion behavior was investigated through polarization curve tests and electrochemical impedance spectroscopy tests. The results showed that the corrosion rate of S32205 duplex stainless steel in a seawater environment was approximately 1/15 that of the HRB400 ordinary steel rebar. The anodic polarization curve of duplex stainless steel rebars exhibited a greater slope than that of carbon steel rebars. In the simulated seawater environment, the corrosion rate of these two kinds of steel bars showed different trends. The corrosion rate of ordinary steel bar HRB400 first decreased and then increased, while that of duplex stainless steel S2205 increased steadily. Furthermore, 18 short concrete columns reinforced with ordinary and duplex stainless steel rebars were subjected to the axial compression test and stiffness analysis; the stiffness of the short columns was calculated from the test data. The theoretical values agreed with the test values, with a stiffness calculation error of less than 5%.

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Section: Introductionmentioning

confidence: 77%

Seawater Corrosion Resistance of Duplex Stainless Steel and the Axial Compressive Stiffness of Its Reinforced Concrete Columns

Ren,

Fang,

Wang

et al. 2023

Materials

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“…Commonly used methods for evaluating and ranking the process parameters in laser processing include TOPSIS method [22,[50][51][52] , integrated goal method [53][54][55] , and normalization and weighting method [56] . TOPSIS is proposed to obtain the best decision based on the compromise solution principle [57] , and it can be employed as a comprehensive evaluation method for multiple attribute decision-making [58] .…”

Section: Multi-response Evaluation Using Topsismentioning

confidence: 99%

A prediction approach of fiber laser surface treatment using ensemble of metamodels considering energy consumption and processing quality

Wu¹,

Zhang²,

Jiang³

et al. 2022

Green Manuf Open

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Laser surface treatment (LST) is essential for advanced manufacturing but is extremely energy intensive. Being energy-aware is imperative as the industry pays increasing attention to energy management and environmental protection. However, existing literature mainly focuses on the laser-material interaction in LST, while few studies have considered energy consumption when investigating the processing quality. In this article, three metamodels (Kriging, RBF, and SVR) are integrated into an ensemble of metamodels (EM) by suitable weight coefficients, and the EM incorporates the predictive advantages of different metamodels. The EM establishes the relationship between laser process parameters (laser power, scan speed, and defocusing amount) and three outputs (total energy consumption, surface roughness, and depth-width ratio of LST track). The effectiveness of the presented prediction approach is validated by the leave-one-out method and additional experiments. Furthermore, the main influences of process parameters on the three outputs are studied. According to the technique for order preference by similarity to an ideal solution (TOPSIS), the optimal process parameter is Group No. 2, with the relative closeness of 78.04%, while the worst one is Group No. 13, with the relative closeness of 2.21%. The presented prediction approach can serve as a reliable foundation in the energy-aware application of laser processing.

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“…The Taguchi orthogonal array, known as L18, is adopted for the above variable parameters and levels. This OA consists of eighteen arrays and eight columns [28,29]. The eighteen arrays show the number of the experiments, 18 experiments, and the columns show the possible variables [23].…”

Section: Design Of Experimentsmentioning

confidence: 99%

Parameter design of PLA/Wood Fused Filament Fabrication using Taguchi optimization methodology

Kechagias

Zaoutsos

Chaidas

et al. 2021

Preprint

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This study investigates the effects of four variables during fused filament fabrication of organic biocompatible composite material, PLA with coconut flour, at the ultimate tensile strength and elasticity module of the printed parts. The parameter optimization uses Taguchi L18 design and regression models. The examined deposition variables are the layer thickness, the nozzle temperature, the raster deposition angle, and filament printing speed. The effects of the above variables on the strength of the parts are essential to enhance the mechanical response of the printed parts. The experimental outcomes are investigated using the ANOM and ANOVA analysis and modeled utilizing linear regression models. In addition, an independent experiment was repeated three times at optimum parameters' levels to evaluate the methodology, giving predictions errors less than 3%.

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Fiber laser microcutting on duplex steel: parameter optimization by TOPSIS

Cited by 19 publications

References 38 publications

Seawater Corrosion Resistance of Duplex Stainless Steel and the Axial Compressive Stiffness of Its Reinforced Concrete Columns

Seawater Corrosion Resistance of Duplex Stainless Steel and the Axial Compressive Stiffness of Its Reinforced Concrete Columns

A prediction approach of fiber laser surface treatment using ensemble of metamodels considering energy consumption and processing quality

Parameter design of PLA/Wood Fused Filament Fabrication using Taguchi optimization methodology

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