Design exploration of combinational spike and opposing jet concept in hypersonic flows based on CFD calculation and surrogate model

Ou, Min; Yan, Li; Huang, Wei; Zhang, Tian-tian

doi:10.1016/j.actaastro.2018.12.012

Cited by 51 publications

(8 citation statements)

References 26 publications

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“…Liu et al [47] applied the OED approach to study the effects of many factors on the optical-thermal efficiency of a parabolic trough solar collector. Since the samples in the OED have orthogonality, they can also be used to establish a surrogate model before optimization [48][49][50]. Due to the continual study of OED, different orthogonal arrays that are suitable for different numbers and levels of the variables are now available.…”

Section: A Brief Introduction Of the Oed Approachmentioning

confidence: 99%

Winglet design for vertical axis wind turbines based on a design of experiment and CFD approach

Zhang

Elsakka

Huang

et al. 2019

Energy Conversion and Management

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Vertical axis wind turbines (VAWTs) have been attracting an increasing attention in recent years because of their potential for effectively using wind energy. The tip vortices from the VAWT blades have a negative impact on the power efficiency. Since a winglet has been proved to be effective in decreasing the tip vortex in the aerospace field, this paper numerically studies the aerodynamic effect of appending a winglet on the blade of a VAWT. Based on the theoretical motion pattern of the VAWT blade, this paper simplifies the three-dimensional fullscale rotor simulation to a one-blade oscillating problem in order to reduce the computational cost. The full rotor model simulation is also used in validating the result. The numerical approach has been validated by the experimental data that is available in the open literature. Six parameters are applied in defining the configuration of the winglet. The orthogonal experimental design (OED) approach is adopted in this paper to determine the significance of the design parameters that affect the rotor's power coefficient. The OED results show that the twist angle of the winglet is the most significant factor that affects the winglet's performance. A range analysis of the OED results produces an optimal variable arrangement in the current scope, and the winglet's performance in this variable arrangement is compared with the blade without a winglet. For the single blade study, the comparison result shows that the optimal 2 winglet can decrease the tip vortices and improve the blade's power performance by up to 31% at a tip speed ratio of 2.29. However, for the full VAWT case, the relative enhancement in the power coefficient is about 10.5, 6.7, and 10.0% for TSRs of 1.85, 2.29, and 2.52, respectively. The winglet assists in maintain the pressure difference between the two sides of the blade, thus weakening the tip vortex and improving the aerodynamic efficiency of the surface near the blade tip.

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Section: A Brief Introduction Of the Oed Approachmentioning

confidence: 99%

Winglet design for vertical axis wind turbines based on a design of experiment and CFD approach

Zhang

Elsakka

Huang

et al. 2019

Energy Conversion and Management

Self Cite

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“…Adding a jet at the tip of an aerodisk rather than the tip of a plain spike was proposed by Ou et al [317,318]. Different jet pressures and radial locations on the base of forward and intermediate aerodisks along the spike were examined.…”

Section: Structural-fluidic Devicesmentioning

confidence: 99%

Forebody shock control devices for drag and aero-heating reduction: A comprehensive survey with a practical perspective

Ahmed

Qin

2020

Progress in Aerospace Sciences

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One key feature that distinguishes the flowfield around vehicles flying in supersonic and hypersonic regimes is the bow shock wave ahead of forebody. The severe drag and aeroheating impacting these vehicles can be significantly reduced if the bow shock wave ahead of the vehicles forebodies is controlled to yield weaker system of oblique shocks. Benefits of forebody shock control include increasing flight ranges, economizing fuel consumption, reducing dead weights, and thermally protecting forebody structure and onboard equipment. Forebody shock control that has been widely studied since the early 1900s is achievable in numerous techniques that vary according to the mechanism of control. While some of these techniques have already been implemented in real systems, other techniques involve serious complications and tough trade-offs. The present paper is intended to serve as the first comprehensive survey on the field of forebody shock control devices. The objectives of the present paper are multifold. The paper categorizes the various forebody shock control devices in a physics-based manner, explains the underlying physics for each device, and surveys the key studies and state-of-the-art knowledge. The paper also addresses the existing gaps in knowledge, highlights the existing systems implementing these devices, and discusses the associated practical implementation issues and design-tradeoffs. 2. Structural devices, the mechanical spikes: 2.1. Principle of operation of mechanical spikes Drag and Aeroheating Reduction Devices Fluidic Devices Opposing jets Structural Devices Mechanical spikes Energetic Devices Energy deposition Basic devices Structural-Fluidic Devices Structural-Energetic Devices Hybrid devices

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“…However, in many cases the CFD-based design optimization is not preferred because each CFD simulation may easily take tens of minutes to several hours depending on the system complexity, which renders the unaffordable iterative optimization process that needs a large number of function calls to CFD. To tackle this issue, fast-running surrogate models have been developed to replace the demanding CFD simulations, and thus, the optimization can be performed in a manageable manner on the resource-limited computing platform (Carrillo et al 2018 ; Ou et al 2019 ; Wang et al 2020 ; Herten et al 2017 ). Among various surrogate modeling techniques, the machine learning approach based on the artificial neural network (ANN) has won the spotlight for their salient applicability and accuracy in high-dimensional parameter space.…”

Section: Introductionmentioning

confidence: 99%

Automated optimization of double heater convective polymerase chain reaction devices based on CFD simulation database and artificial neural network model

Hong

Shu

Wang

et al. 2021

Biomed Microdevices

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This paper presents a framework for automated optimization of double-heater convective PCR (DH-cPCR) devices by developing a computational fluid dynamics (CFD) simulation database and artificial neural network (ANN) model. The optimization parameter space that includes the capillary tube geometries and the heater sizes of DH-cPCR is established, and a database consisting of nearly 10,000 CFD simulations is constructed. The database is then used to train a two-stage ANN models that select practically relevant data for modeling and predict PCR device performance. The trained ANN model is then combined with the gradient-based and the heuristics optimization approaches to search for optimal device configuration that possesses the shortest DNA doubling time. The entire design process including model meshing and configuration, parallel CFD computation, database organization, and ANN training and utilization is fully automated. Case studies confirm that the proposed framework can successfully find the optimal device configuration with an error of less than 0.3 s, and hence, representing a cost-effective and rapid solution of DH-cPCR device design.

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Design exploration of combinational spike and opposing jet concept in hypersonic flows based on CFD calculation and surrogate model

Cited by 51 publications

References 26 publications

Winglet design for vertical axis wind turbines based on a design of experiment and CFD approach

Winglet design for vertical axis wind turbines based on a design of experiment and CFD approach

Forebody shock control devices for drag and aero-heating reduction: A comprehensive survey with a practical perspective

Automated optimization of double heater convective polymerase chain reaction devices based on CFD simulation database and artificial neural network model

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