Modeling and optimization method of an indirectly irradiated solar receiver

Ndiogou, Baye Alioune; Thiam, Ababacar; Mbow, Cheikh; Adjibade, Mohamed Izzedine Serge; Sabourin, Vincent

doi:10.1016/j.mex.2018.12.006

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…"Maximum allowable Pareto percentage" is set to 70%, and the "Maximum number of iterations" is set to 20. Therefore, the optimization process is terminated when the resulting MOGA edge contains 70 points, which is 70% of the number of samples per iteration of 100, or when the maximum number of iterations is reached [45,46]. In the case of the x−axis part, structural analysis revealed that the maximum stress occurs in the saddle plate, which connects with the other parts.…”

Section: Case Factor 1 Level Factor 2 Levelmentioning

confidence: 99%

Structural Optimization of Scarfing Machine with Acceleration Profile and Multi-Objective Genetic Algorithm Approach

Lee,

Park

et al. 2024

Machines

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Scarfing is a type of flame treatment used to improve the quality of metal generated during steelmaking. It employs the principles of gas cutting to remove impurities and defects. Due to the high-temperature conditions and the need for uniform metal treatment, mechanical scarfing performed via a frame is preferred over manual hand scarfing. To achieve stable mechanical scarfing, a properly designed frame is essential. Generally, while using more material can create stable equipment, it also increases costs. Therefore, this study proposed a design method that selects an acceleration profile to minimize the shock on the frame during scarfing equipment operation while using a multi-objective genetic algorithm to minimize weight and maximize rigidity. Because modifying existing scarfing equipment based on the optimization results would incur additional costs and time, pre-optimizing through simulation before equipment fabrication is crucial. Optimization was achieved via the dimensional optimization of the existing frame equipment. As a result, the weight of each part and the deformation decreased by an average of 17.05 kg and 3.93%, respectively.

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Section: Case Factor 1 Level Factor 2 Levelmentioning

confidence: 99%

Structural Optimization of Scarfing Machine with Acceleration Profile and Multi-Objective Genetic Algorithm Approach

Lee,

Park

et al. 2024

Machines

View full text Add to dashboard Cite

show abstract

“…The field of energy needs newer methods [1,2] in its battle to sustain its role as the chief driver of economy. In this context, enhanced research is required in the field of renewable energy especially wind energy which is currently the fastest growing source.…”

Section: Introductionmentioning

confidence: 99%