Multi-objective optimization design of spiral demister with punched holes by combining response surface method and genetic algorithm

Yang, Laishun; Wang, Jianxing; Sun, Xianhang; Xu, Minghai

doi:10.1016/j.powtec.2019.07.030

Cited by 22 publications

(14 citation statements)

References 49 publications

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“…What's more, with the rapid development of computer technology, a technology that integrates CFD, RSM and genetic algorithms demonstrates significant advantages and contributions in the modeling and optimization of industrial equipment in recent years 37–41 …”

Section: Resultsmentioning

confidence: 99%

“…This method has the following competitive advantages: high‐precision fit of models and data, permission to increase the accuracy of the fitting by increasing the number of cases, supply of block experiments, and so on. Moreover, as an efficient experimental design method, the application of the central composite design (CCD) in RSM greatly reduces the workload of experimental design and becomes an efficient experimental design method 37 …”

Section: Resultsmentioning

confidence: 99%

“…and genetic algorithms demonstrates significant advantages and contributions in the modeling and optimization of industrial equipment in recent years. [37][38][39][40][41] Next, the physical properties of the reactants were calculated for the 26 groups of working conditions, which were then incorporated into the FLUENT fuel cell module for simulation, resulting in the current densities of the 26 groups of PEMFC at 0.4 V. The power density and cell efficiency were obtained by calculation. The above calculation results were substituted into the DESIGN-EXPERT working condition value table.…”

Section: Effect Of Cathode Operating Conditions On Cell Performancementioning

confidence: 99%

See 2 more Smart Citations

Effect of cathode operation parameters on the performance of proton exchange membrane fuel cell with curved wing vortex generator by response surface method

Yang

Shi

Cui

et al. 2022

Energy Science & Engineering

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With the increasing popularity of fuel cells, improving their power density and the fuel cell system efficiency has become very topical. This study used the curved wing vortex generator to generate a secondary flow in the cathode flow channel to improve the performance of the proton exchange membrane fuel cell (PEMFC). The curved wing's structure and arrangement effects on the performance of fuel cells were numerically simulated. Next, to summarize the combined effects of cathode operating conditions on the performance of PEMFC, this study used the response surface method to assess the influence of operating conditions variables on the performance target of PEMFC with curved wings. The combined effects of cathode operating conditions, namely temperature, pressure, reactant stoichiometry, and relative humidity, on the system efficiency and power density of the fuel cell system were investigated.The predictive correlations between these variables were also fitted. The installation of curved wings promoted the diffusion of reactants, as well as improved the uniformity of temperature distribution and the discharge of liquid water in the fuel cell, enhancing its overall performance. Among the four operating parameters under study, the most significant effect on the fuel cell power density was provided by the temperature, followed by pressure, humidity, and reactant stoichiometry. The fuel cell efficiency was the most significantly improved by increasing the relative humidity, while temperature increase had the second-best impact, followed by pressure, and reactant stoichiometry.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Effect Of Cathode Operating Conditions On Cell Performancementioning

confidence: 99%

See 1 more Smart Citation

Effect of cathode operation parameters on the performance of proton exchange membrane fuel cell with curved wing vortex generator by response surface method

Yang

Shi

Cui

et al. 2022

Energy Science & Engineering

Self Cite

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“…It was demonstrated that most performance parameters after multi-objective optimization were better than those without optimization. The effects of pitch, diameter, pipe length, and inlet velocity on the separation efficiency and pressure drop were investigated based on the RSM and GA [21]. The optimization results showed that the optimization degree of the separation efficiency had a certain limitation at the optimal points, while the pressure drop can be reduced by approximately 50%.…”

Section: Introductionmentioning

confidence: 99%

Establishing Surrogate Model to Predict the Optimal Thermodynamic and Economic Performance of a Packed Bed Humidifier via Multi-Objective Optimization

Chen

Han

et al. 2021

Sustainability

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In this paper, to optimize the thermodynamic and economic performance of a packed bed humidifier, a multi-objective optimization combined response surface method with a genetic algorithm is employed. The critical parameters, including geometric and thermodynamic parameters, are designated as the impact factors, and the objective functions contain unit humidification capacity of volume and unit humidification capacity of cost in a Box–Behnken design. The results of the analysis of variance demonstrated that the quadratic regression models of objectives are reliable and robust. It is found that the liquid–gas ratio, the interaction of the liquid–gas ratio, and inlet water temperature are simultaneously the strongest influence factors for the thermodynamic and economic indicators among the independent and interactive parameters. In addition, the optimal parameter group is found out through a genetic algorithm, and the actual optimal results are obtained as 0.11 kgs−1m−3 for thermodynamic performance and 15.86 kg$−1 for economic performance. Furthermore, it is shown that the thermodynamic performance improves by 56% and the economic performance increases by 6.55%, compared with optimum experimental design points. During the optimization design process, the computational time to find the optimal values reduces from 69,000 s with previous mathematical models to 10 s with established regression models. Additionally, a series of Pareto-optimal points for possible best thermodynamic and economic performance give the reference for the designers of packed bed humidifiers.

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“…An article by Box and Hunter [9] describes the rationale for RSM, which is to fit response surface functions related to inputs and outputs using a small number of strictly selected data sets in the design space. RSM has been applied in many research areas, such as experimental design and engineering structural analysis to optimize modal or vibration problem [10][11][12][13]. Lee et al [14] employed structural optimization to design the domains and thicknesses of the door for better stiffness.…”

Section: Introductionmentioning

confidence: 99%

Structural Modal Analysis and Optimization of SUV Door Based on Response Surface Method

Chen

Liu

et al. 2020

Shock and Vibration

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Sensitivity analysis and response surface methods were employed to optimize the structural modal of SUV doors. A finite element numerical simulation model was established and was calibrated by restraint modal tests. To screen out highly sensitive panels, a sensitivity analysis for the thickness of door panels was proposed based on the fifth-order modal frequency of the door. Data points were obtained by a faced central composite design with the design variables from the thickness of the highly sensitive panels, and a second-order explicit response surface function of the fifth-order modal frequency of the vehicle door was established. An optimization model was established according to the response surface method. The final results demonstrate that the modal-frequency matching of the door and body in white was optimized after changing the thicknesses, with a 5.74% material reduction.

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Multi-objective optimization design of spiral demister with punched holes by combining response surface method and genetic algorithm

Cited by 22 publications

References 49 publications

Effect of cathode operation parameters on the performance of proton exchange membrane fuel cell with curved wing vortex generator by response surface method

Effect of cathode operation parameters on the performance of proton exchange membrane fuel cell with curved wing vortex generator by response surface method

Establishing Surrogate Model to Predict the Optimal Thermodynamic and Economic Performance of a Packed Bed Humidifier via Multi-Objective Optimization

Structural Modal Analysis and Optimization of SUV Door Based on Response Surface Method

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