Optimization of processing parameters of laser skin welding in vitro combining the response surface methodology with NSGA- II

Li, Cong; Huang, Jun; Wang, Kehong; Chen, Zibo; Liu, Qimeng

doi:10.1016/j.infrared.2019.103067

Cited by 29 publications

(11 citation statements)

References 22 publications

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“…The formulated multi-objective optimization (MOO) problem for the designed system is shown in Table 7. In this study, two important optimization objectives were studied using the genetic algorithm method (NSGA-Ⅱ) incorporated in Python: 1) maximization of hydrogen production yield and 2) maximization of output power (Li et al, 2019). Figure 8 depicts the Pareto frontier diagram of the optimal solution points of objective functions for the model.…”

Section: Multi-objective Optimization Resultsmentioning

confidence: 99%

Multi-Criteria Optimization of a Biomass-Based Hydrogen Production System Integrated With Organic Rankine Cycle

et al. 2020

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Biomass-based gasification is an attractive and promising pathway for hydrogen production. In this work, a biomass-based hydrogen production system integrated with organic Rankine cycle was designed and investigated to predict the performance of hydrogen production yield and electricity generation under various operating conditions. The modified equilibrium model presented desirable results for the produced syngas compositions compared with the experimental data. Hydrogen yields from four types of biomass (wood chips, daily manure, sorghum, and grapevine pruning wastes) were compared under the same operating condition, with wood chips exhibiting the maximum hydrogen yield of 11.59 mol/kg. The effects of gasification temperature, equivalence ratio, and steam-to-biomass ratio on the hydrogen yield and electricity generation were investigated by using the response surface method. Furthermore, the system was optimized using a genetic algorithm based on the response surface model. A preferred optimal solution with a hydrogen yield of 39.31 mol/kg and an output power of 3,558.08 kW (0.99 kW h/kg) was selected by the linear programming technique for multidimensional analysis of the preference method.

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Section: Multi-objective Optimization Resultsmentioning

confidence: 99%

Multi-Criteria Optimization of a Biomass-Based Hydrogen Production System Integrated With Organic Rankine Cycle

et al. 2020

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“…3. Maximum tensile strength (457MPa) was achieved for a combination of parameter namely laser power (500), travelling speed (300) and focal position (14). While minimum tensile strength (428MPa) was observed at laser power (400), travelling speed (600) and Focal position (16).…”

Section: Discussionmentioning

confidence: 98%

“…And, response surface method is used to examine the relationship between one or more response variables and a set of quantitative experimental parameters. These methods are often employed after the important controllable factors have been identified and intend to find the factor setting that optimizes the response [14]. The threelevel response surface factorial design utilized in this study.…”

Section: Table 1 Chemical Composition Of Inconel 625 and Duplex Staimentioning

confidence: 99%

Optimization of ultimate tensile strength of welded Inconel 625 and duplex 2205

Madhankumar¹,

Manonmani²,

Karthickeyan³

et al. 2021

JMES

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The ultimate strength is an important property of any material for the manufacturing of components. This paper utilized the laser beam welding (LBW), due to its smaller dimension, which produces lesser distortion and process velocity is higher. Inconel 625 alloy and duplex 2205 stainless steel is having higher strength and corrosive resistance properties. Due to the above-mentioned properties, it could be used in oil and gas storage containers, marine and geothermal applications. This research work presents an investigation of various input variable effects on the output variable (ultimate tensile strength) in LBW for dissimilar materials namely, Inconel 625 alloy and duplex 2205 stainless steel. The input variables for this research are the power of a laser, welding speed, and focal position. The experimental runs are developed with the help of design of experiment (DOE) and utilized statistical design expert software. The ultimate tensile strength on different runs is measured using a universal tensile testing machine. Then from a response surface methodology and ANOVA, the optimum value of ultimate tensile strength was determined to maximize the weld joint and bead geometry. Finally, the confirmation test was carried out, it reveals the maximum error of 0.912% with the predicted value. In addition, the microstructure of the weld beads was examined using optical microscopy.

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“…Therefore, both MA and EV should be sufficient to achieve quantitative adsorption and elution of the analytes, respectively. The two factors (MA and EV) were further optimized using CCD to minimize the number of experiments and to investigate their interactions based on the quadratic model employed on response surface methodologies (RSM) (Li et al 2019).…”

Section: Optimization Of the Developed D-mspme Screening Of D-mspme P...mentioning

confidence: 99%

Development of dispersive solid-phase microextraction coupled with high-pressure liquid chromatography for the preconcentration and determination of the selected neonicotinoid insecticides

et al. 2022

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Neonicotinoid insecticides have raised a lot of societal concerns due to their environmental ubiquity and unique mode of action. Therefore, it is of great research interest to monitor their occurrence in the environmental waters. However, these compounds exist at low concentrations that is below instrument detection limits. This study reports the applicability of magnetic poly (3 aminobenzoic acid)-based activated carbon (Fe3O4@PABA/AC) composite as an adsorbent in dispersive magnetic solid-phase microextraction (d-MSPME) of neonicotinoid insecticides from wastewater and river water samples. The as-synthesized adsorbent was characterized and confirmed by Fourier transform infrared spectroscopy, scanning electron microscopy, transmission electron microscopy, Brunauer–Emmett–Teller and X-ray diffraction spectroscopy. The analytes of interest were detected and quantified by high-performance liquid chromatography coupled with diode array detector (HPLC–DAD). The parameters affecting the extraction and preconcentration processes, such as pH, extraction time, mass of adsorbent, desorption time and eluent volume, were optimized using fractional factorial design and central composite design. Under optimum conditions, the limits of detection and quantification were in the ranges of 0.41–0.82 µg L−1 and 1.4–2.7 µg L−1, respectively. The linearity ranged from 1.4–700 µg L−1 with correlation of determination (R2) values varied between 0.9933 and 0.9987. The intra-day and inter-day precisions were 0.35–0.75% and 1.7–5.5%, respectively. The spike recovery experiments were conducted to evaluate the accuracy of the d-MSPME analytical method in real samples, and the percentage recoveries ranged from 86.7 to 99.2%. Therefore, this method shows great potential applicability in preconcentrating the pollutants from the environment.

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Optimization of processing parameters of laser skin welding in vitro combining the response surface methodology with NSGA- II

Cited by 29 publications

References 22 publications

Multi-Criteria Optimization of a Biomass-Based Hydrogen Production System Integrated With Organic Rankine Cycle

Multi-Criteria Optimization of a Biomass-Based Hydrogen Production System Integrated With Organic Rankine Cycle

Optimization of ultimate tensile strength of welded Inconel 625 and duplex 2205

Development of dispersive solid-phase microextraction coupled with high-pressure liquid chromatography for the preconcentration and determination of the selected neonicotinoid insecticides

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