Low-resistance optimization and secondary flow analysis of elbows via a combination of orthogonal experiment design and simple comparison design

Yin, Yifei; Li, Angui; Wu, Dingmeng; Li, Jiaxing; Guo, Jinnan

doi:10.1016/j.buildenv.2023.110263

Cited by 14 publications

(2 citation statements)

References 38 publications

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“…Orthogonal experiment designs Yin, Y. et al (2023) [33] Steady-state and single-objective Chen, M. et al ( 2023) [34] Steady-state and single-objective But there is an important problem in the application of meta-heuristic optimization approaches in some engineering fields (e.g., CFD-based optimal design [4,26,27,31,32] and large ANN hyperparameter optimization [35]): as global optimization approaches, they will produce a large number of sequences, unlike gradient-based methods that produce only one sequence, which makes them need to perform a large number of function evaluations to obtain approximate optimal solutions. For example, the studies based on the meta-heuristic optimization approaches in Table 1 use a sample size of a few hundred to a few thousand.…”

Section: Authors Other Tools Situationsmentioning

confidence: 99%

A New Optimization Design Method of Multi-Objective Indoor Air Supply Using the Kriging Model and NSGA-II

Guo,

Wang,

Cao

et al. 2023

Applied Sciences

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When using meta-heuristic optimization approaches for optimization, a large number of samples are required. In particular, when generating a subgeneration, the utilization of existing samples is low and the number of individuals is high. Therefore, surrogate-based optimization has been developed, which greatly reduces the number of individuals in the subgeneration and the cost of optimization. In complex air supply scenarios, single-objective optimization results may not be comprehensive; therefore, this paper developed a double-objective air supply optimization method based on the Kriging surrogate model and Non-dominated Sorting Genetic Algorithms-II. And it proposed the infill criteria based on clustering to advance the Pareto Frontier. The method was validated with an inverse prediction case, and in particular, the problems when based on 3D steady-state simulations were analyzed. The results showed that the method can quickly achieve an approximate prediction of the boundary conditions (when predictions were made based on experimental data, the number of simulations was 82 and the average error was 6.8%). Finally, the method was used to optimize the air supply parameters of a dual-aisle, single-row cabin, with only 118 samples used in the optimization process. The Pareto set suggested that an airflow organization with dual circulation may be optimal.

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Section: Authors Other Tools Situationsmentioning

confidence: 99%

A New Optimization Design Method of Multi-Objective Indoor Air Supply Using the Kriging Model and NSGA-II

Guo,

Wang,

Cao

et al. 2023

Applied Sciences

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“…Yin et al [3] completed a study of low-resistance optimization of 90 degree elbows using double guide vanes and achieved a maximum resistance reduction of 38.1 %. Sarstedt et al [4] used topology optimization for fluid flows employing local optimality criteria.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Elbow Project for Undergraduate Mechanical Engineering Students

Merheb,

Kesler,

Esley

et al.

2023 ASEE Annual Conference &Amp; Exposition Proceedings

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This paper presents the testing of an experimental setup for measurements of pressure drop in the flow for an optimized 90-degree elbow. The optimized elbow was designed using Sculptor software and experimental pressure drop measurements at different flow rates were compared with Ansys Fluent simulations of the flow field. It was discovered that a maximum reduction in pressure drop by 64% could be achieved using an optimized design in comparison with the constant cross section elbow. The paper will include a description of student outcomes, student involvement and an assessment of student learning.

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Comparing temperature fluctuation attenuation capabilities and feasible parameter regions of indirect- and direct-contact heat exchangers for an ultra-high precision constant-temperature chilled water system: An experimental and Modelica-based study

Guo,

Wang,

Hong

et al. 2024

Applied Thermal Engineering

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Low-resistance optimization and secondary flow analysis of elbows via a combination of orthogonal experiment design and simple comparison design

Cited by 14 publications

References 38 publications

A New Optimization Design Method of Multi-Objective Indoor Air Supply Using the Kriging Model and NSGA-II

A New Optimization Design Method of Multi-Objective Indoor Air Supply Using the Kriging Model and NSGA-II

An Optimized Elbow Project for Undergraduate Mechanical Engineering Students

Comparing temperature fluctuation attenuation capabilities and feasible parameter regions of indirect- and direct-contact heat exchangers for an ultra-high precision constant-temperature chilled water system: An experimental and Modelica-based study

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