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AIAA SCITECH 2023 Forum最新文献

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Aerospace Quality In-situ Consolidated Thermoplastic Composite Structures via Automated Fiber Placement: Effects of Staggering on Part Performance 航空航天质量原位固结热塑性复合材料结构通过自动纤维放置:交错对零件性能的影响
Pub Date : 2023-01-19 DOI: 10.2514/6.2023-2077
T. Yap, Ali Yeilaghi Tamijani, M. Tehrani
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引用次数: 0
Exploration of Shock-Droplet Ignition and Combustion 冲击液滴点火与燃烧的探索
Pub Date : 2023-01-19 DOI: 10.2514/6.2023-0560
J. Patten, V. Malik, S. Salauddin, K. Ahmed
Liquid fuels are desirable in aerospace applications due to their higher energy density when compared to gaseous fuels. With the advent of detonation-based engines, it is necessary to characterize and analyze how liquid fuel interacts with detonation waves as well as shocks to ignite. While liquid fuel sprays have been proven to successfully aid and sustain detonations, the physical mechanism by which the individual liquid droplets accomplish this is yet to be understood. Such knowledge allows for more predictable detonation properties, which in turn can let detonation-based engines be sustained more easily. This research seeks to quantify and characterize interactions of liquid fuels with detonations and shocks, analyzing the breakup mechanism as well as the ignition of select fuels. Such effects will be characterized for several different mixture compositions as well as shock and detonation speeds. Primary analysis techniques include shadowgraph, Schlieren, and chemiluminescence imaging. Data on pressure will also be taken with pressure transducers to confirm shock and detonation properties. This research will further the progress of liquid fuel detonation-based engines by enabling more predictable and sustainable detonations.
与气体燃料相比,液体燃料具有更高的能量密度,因此在航空航天应用中是理想的。随着基于爆震的发动机的出现,有必要对液体燃料如何与爆震波和冲击相互作用来点燃进行表征和分析。虽然液体燃料喷雾已被证明能够成功地帮助和维持爆炸,但单个液滴实现这一目标的物理机制尚不清楚。这样的知识可以使爆震特性更加可预测,从而使基于爆震的发动机更容易维持。本研究旨在量化和表征液体燃料与爆炸和冲击的相互作用,分析分离机制以及选定燃料的点火。这种效应将在几种不同的混合成分以及激波和爆轰速度下进行表征。主要的分析技术包括影影、纹影和化学发光成像。压力数据也将与压力传感器一起采集,以确认冲击和爆炸特性。这项研究将通过实现更可预测和可持续的爆轰,进一步推动液体燃料爆轰发动机的发展。
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引用次数: 0
2D Materials Guided Self-assembly of Polymer: Molecular Dynamics Simulation Study 二维材料引导聚合物自组装:分子动力学模拟研究
Pub Date : 2023-01-19 DOI: 10.2514/6.2023-0142
Akash Singh, Yumeng Li
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引用次数: 2
An Integrated Design Tool for Tow-steering Composites in Abaqus and MSC.Patran/Nastran 拖曳导向复合材料在Abaqus和MSC中的集成设计工具。Patran / Nastran
Pub Date : 2023-01-19 DOI: 10.2514/6.2023-2594
Xin Liu, Bangde Liu, Twinkle Kothari, Su Tian, Yufei Long, F. Leone, W. Yu
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引用次数: 0
Spacecraft Wake Formation in Cislunar Plasma Regions 地月等离子体区航天器尾流的形成
Pub Date : 2023-01-19 DOI: 10.2514/6.2023-2470
Kaylee Champion, H. Schaub
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引用次数: 0
Model Predictive Control for Cooperative Systems with Task Prioritization applied to Vehicle Rendezvous and Docking 任务优先级协作系统模型预测控制在飞行器交会对接中的应用
Pub Date : 2023-01-19 DOI: 10.2514/6.2023-0486
B. Taner, K. Subbarao
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引用次数: 0
Buckling tolerance design of aircraft fuselage using carbon fiber reinforced thermoplastic (CFRTP) 碳纤维增强热塑性塑料(CFRTP)飞机机身屈曲公差设计
Pub Date : 2023-01-19 DOI: 10.2514/6.2023-2420
Haruka Kaneda
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引用次数: 0
High-Fidelity Simulations of Gas Turbine Combustor using Spectral Element Method 基于谱元法的燃气轮机燃烧室高保真仿真
Pub Date : 2023-01-19 DOI: 10.2514/6.2023-1641
Sicong Wu, D. Dasgupta, M. Ameen, Saumil Patel
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引用次数: 0
Identification of Important Flow Structures for Deep Reinforcement Learning-based Control of Flow Separation over an Airfoil 基于深度强化学习的翼型流动分离控制中重要流动结构的识别
Pub Date : 2023-01-19 DOI: 10.2514/6.2023-0864
Naoki Takada, Ayano Watanabe, Satoshi Shimomura, Tatsumasa Ishikawa, Hiroyuki Nishida
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引用次数: 1
Aeroelastic Analysis of Transonic Flutter with CFD-Based Reduced-Order Model 基于cfd降阶模型的跨音速颤振气动弹性分析
Pub Date : 2023-01-19 DOI: 10.2514/6.2023-1196
A. N. Carloni, J. Azevedo
The current work is concerned with studying processes for constructing reduced-order models capable of performing transonic aeroelastic stability analyses in the frequency domain based on computational fluid dynamics (CFD) techniques. The CFD calculations are based on the Euler equations, and the code uses a finite volume formulation for general unstructured grids. A centered spatial discretization with added artificial dissipation is used, and an explicit Runge-Kutta time marching method is employed. The dynamic system considered in the present work is a NACA 0012 airfoil-based typical section in the transonic regime. Unsteady calculations are performed for mode-by-mode and simultaneous excitation approaches, the latter defined by orthogonal Walsh functions. System identification techniques are employed to allow the splitting of the aerodynamic coefficient time histories into the contribution of each individual mode to the corresponding aerodynamic transfer functions. Generalized unsteady aerodynamic forces are approximated by a rational transfer function in the Laplace domain, in which nonlinear parameters are selected through a non-gradient optimization process. Different types of interpolating polynomials are tested and the results are compared. Results show that the proposed procedure can reproduce literature aeroelastic analysis data with a single unsteady CFD run.
目前的工作是研究基于计算流体动力学(CFD)技术在频域建立能够进行跨音速气动弹性稳定性分析的降阶模型的过程。CFD计算基于欧拉方程,代码使用一般非结构化网格的有限体积公式。采用带人工耗散的中心空间离散化方法,采用显式龙格-库塔时间推进法。本文所考虑的动力系统是一个基于NACA 0012翼型的跨声速典型截面。对逐模和同步激励方法进行了非定常计算,后者由正交Walsh函数定义。采用系统识别技术,允许将气动系数时程拆分为每个单独模式对相应气动传递函数的贡献。广义非定常气动力用Laplace域中的有理传递函数逼近,其中非线性参数通过非梯度优化过程选择。对不同类型的插值多项式进行了检验,并对结果进行了比较。结果表明,该方法可以通过单次非定常CFD计算重现文献中的气动弹性分析数据。
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引用次数: 0
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AIAA SCITECH 2023 Forum
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