Natural Laminar Flow Optimization of Transonic Nacelle Based on Differential Evolution Algorithm

Wang, Shuyue; Sun, Gang; Li, Chenghong

doi:10.1061/(asce)as.1943-5525.0001028

Cited by 12 publications

(9 citation statements)

References 29 publications

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“…Through infrared photos, the laminar flow region appears white and the turbulent flow region appears grey, which forms the judgement of laminar transition position. More detailed description of the experimental set-up and post-processing method can be found in another work of the authors accomplished in the same wind tunnel [30]; the infrared camera was also used by the authors for laminar/turbulence detection in a validation of three-dimensional nacelle design without thrust [8].…”

Section: Cfd Solver and Its Validationmentioning

confidence: 99%

“…As a variant of an evolutionary algorithm, Differential Evolution (DE) iteratively improves a candidate solution based on floating-point value representation rather than the binary strings [59]. It has been deployed in many aerodynamic designs [8,60,61].…”

Section: Evolutionary Optimization and Its Significancementioning

confidence: 99%

“…The skin friction is important part of drag composition (it occupies nearly 50% of total aircraft drag in some cases [6]). Therefore, Natural Laminar Flow (NLF) optimization has been worked on for skin friction drag reduction by extending laminar area over aircraft surface, on account of lower skin friction drag magnitude in laminar than in turbulence [6,8,9].…”

Section: Introductionmentioning

confidence: 99%

“…where w 1 and w 2 are the assigned weights that represents the importance attached to the aerodynamic performance behind variables given by designers. Wang et al and Iuliano et al put w 2 under major consideration (solely minimize C f ) in design requirement formulation with C p being kept under a passive constant constraint [8,10]. Chen and Tang and Tang et al added wave drag (a subset of pressure drag) in design requirement formulation where they put much consideration on shock wave at transonic regime [11,12].…”

Section: Introductionmentioning

confidence: 99%

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The Objective Space and the Formulation of Design Requirement in Natural Laminar Flow Optimization

Wang

Sun

2020

Applied Sciences

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Design requirement is as important in aerodynamic design as in other industries because it sets up the objective for the samples in design space to approach. Natural Laminar Flow (NLF) optimization belongs to the type of aerodynamic design problems featured by the combination of distinct aerodynamic performance, where the design requirement is often formulated in form of summation of laminar-related performance and pressure drag performance with different weight assignment according to different perspectives. However, the formulations are rather experience-oriented and are decided non-quantitatively. Inspired by data manipulation approaches in design space (spanned by design variables of geometrical representation parameters) in many aerodynamic designs, this paper proposes new formulations of design requirement in NLF optimization via consideration of objective space (projection of design space through aerodynamics) and shows the impact of the corresponding formulation of design requirement to the result of NLF optimization in cases of transonic airfoil and aero engine compressor blade design from two perspectives: Pareto front convergence and improving effect of accessory performance. The paper uses Principal Component Analysis (PCA) to obtain the eigenvectors of objective space to extract the intrinsic information about specific problem. The method is realized in two cases with satisfactory result.

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Section: Cfd Solver and Its Validationmentioning

confidence: 99%

Section: Evolutionary Optimization and Its Significancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Objective Space and the Formulation of Design Requirement in Natural Laminar Flow Optimization

Wang

Sun

2020

Applied Sciences

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“…heuristic algorithms combined with the parametric geometry description method. 6 Also, nonlinearity features the aerodynamic optimization problems not only in the physics behind flow phenomena, but also in the influence of geometry description approach on corresponding aerodynamic performance. Furthermore, many aerodynamic design problems require time-consuming evaluations, compared with the duration of operation of the optimization algorithm.…”

Section: Introductionmentioning

confidence: 99%

A review of the artificial neural network surrogate modeling in aerodynamic design

Sun

Wang²

2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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102

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Artificial neural network surrogate modeling with its economic computational consumption and accurate generalization capabilities offers a feasible approach to aerodynamic design in the field of rapid investigation of design space and optimal solution searching. This paper reviews the basic principle of artificial neural network surrogate modeling in terms of data treatment and configuration setup. A discussion of artificial neural network surrogate modeling is held on different objectives in aerodynamic design applications, various patterns of realization via cutting-edge data technique in numerous optimizations, selection of network topology and types, and other measures for improving modeling. Then, new frontiers of modern artificial neural network surrogate modeling are reviewed with regard to exploiting the hidden information for bringing new perspectives to optimization by exploring new data form and patterns, e.g. quick provision of candidates of better aerodynamic performance via accumulated database instead of random seeding, and envisions of more physical understanding being injected to the data manipulation.

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Network Crawler Technology Based on Python Under Information

Liu

2021

Lecture Notes in Electrical Engineering

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Natural Laminar Flow Optimization of Transonic Nacelle Based on Differential Evolution Algorithm

Cited by 12 publications

References 29 publications

The Objective Space and the Formulation of Design Requirement in Natural Laminar Flow Optimization

The Objective Space and the Formulation of Design Requirement in Natural Laminar Flow Optimization

A review of the artificial neural network surrogate modeling in aerodynamic design

Network Crawler Technology Based on Python Under Information

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