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What Do You Need? Information Requirements and Task Analysis of (Future) Advanced Air Mobility Pilots in the Emergency Medical Service 您需要什么?紧急医疗服务中(未来)高级空中机动飞行员的信息需求和任务分析
Pub Date : 2024-02-29 DOI: 10.3390/aerospace11030197
Dominik Janetzko, Bacem Kacem
In the domain of Advanced Air Mobility (AAM), Simplified Vehicle Operations (SVOs) promise a reduction in handling complexity and training time for pilots. Designing a usable human–machine interface (HMI) for pilots of SVO-enabled aircraft requires a deep understanding of task and user requirements. This paper describes the results of two user research methods to gather these requirements. First, a traditional Helicopter Emergency Medical Service (HEMS) mission was examined using a Hierarchical Task Analysis (HTA). The findings were used to formulate a theoretical HTA for a single-piloted electric Vertical Take-Off and Landing (eVTOL) system in such a scenario. In the second step, qualitative interviews with seven subject matter experts (pilots and paramedic support) in HEMS operations produced vital user requirements for HMI development. Key findings emphasize the necessity of a simplified information presentation and collision avoidance support in the HMI.
在先进空中机动(AAM)领域,简化飞行器操作(SVO)有望降低操作的复杂性,减少飞行员的培训时间。要为支持 SVO 的飞机飞行员设计一个可用的人机界面 (HMI),就必须深入了解任务和用户需求。本文介绍了收集这些需求的两种用户研究方法的结果。首先,使用层次任务分析(HTA)对传统的直升机紧急医疗服务(HEMS)任务进行了研究。研究结果被用于为单人驾驶电动垂直起降(eVTOL)系统在这种情况下制定理论 HTA。第二步,对七位急救医疗系统操作方面的主题专家(飞行员和辅助医务人员)进行了定性访谈,为人机界面的开发提出了重要的用户需求。主要发现强调了在人机界面中简化信息展示和提供防撞支持的必要性。
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引用次数: 0
Active Flutter Suppression of a Wing Section in the Subsonic, Sonic and Supersonic Regimes by the H∞ Control Method 用 H∞ 控制法在亚音速、声速和超音速状态下主动抑制翼段扑翼
Pub Date : 2024-02-29 DOI: 10.3390/aerospace11030198
Álvaro Muñoz, P. García-Fogeda
This paper compares various procedures for determining the optimal control law for a wing section in compressible flow. The flow regime includes subsonic, sonic and supersonic flows. For the evolution of the system in the Laplace plane, the present method makes use of the exact unsteady aerodynamic forces in this plane once the control law is established. This is a great advantage over other results previously published, where the unsteady aerodynamics in the Laplace plane are merely approximations of the curve-fitted values in the frequency domain (imaginary axis). A comparison of different control techniques like pole placement, LQR and H-infinity control demonstrates that the H-infinity controller is the optimal choice, exhibiting an H-infinity norm approximately two orders of magnitude lower than the LQR case. Furthermore, the H-infinity controller demonstrates lower pole values than those of the pole placement and LQR compensator, showing the advantage of the H-infinity controller in terms of economic efficiency.
本文比较了确定可压缩流中机翼截面最佳控制法则的各种程序。流态包括亚音速流、超声速流和超音速流。对于系统在拉普拉斯平面上的演变,一旦控制法则确定,本方法就可以利用该平面上的精确非稳定空气动力。这与之前发表的其他结果相比有很大优势,在其他结果中,拉普拉斯平面上的非稳态空气动力只是频域(虚轴)上曲线拟合值的近似值。对极点放置、LQR 和 H-infinity 控制等不同控制技术的比较表明,H-infinity 控制器是最佳选择,其 H-infinity 准则比 LQR 低约两个数量级。此外,H-无限控制器的极值低于极点置放和 LQR 补偿器的极值,显示了 H-无限控制器在经济效益方面的优势。
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引用次数: 0
Airport Microgrid and Its Incorporated Operations 机场微电网及其合并运营
Pub Date : 2024-02-28 DOI: 10.3390/aerospace11030192
Chang-Ming Liaw, C. Yang, Ping-Hong Jhou
This paper presents the development of an airport bipolar DC microgrid and its interconnected operations with the utility grid, electric vehicle (EV), and more electric aircraft (MEA). The microgrid DC-bus voltage is established by the main sources, photovoltaic (PV) and fuel cell (FC), via unidirectional three-level (3L) boost converters. The proposed one-cycle control (OCC)-based current control scheme and quantitative and robust voltage control scheme are proposed to yield satisfactory responses. Moreover, the PV maximum power point tracking (MPPT) with FC energy-supporting approach is developed to have improved renewable energy extraction characteristics. The equipped hybrid energy storage system (HESS) consists of an energy-type battery and a power-type flywheel; each device is interfaced to the common DC bus via its own 3L bidirectional interface converter. The energy-coordinated operation is achieved by the proposed droop control. A dump load leg is added to avoid overvoltage due to an energy surplus. The grid-connected energy complementary operation is conducted using a neutral point clamped (NPC) 3L three-phase inverter. In addition to the energy support from grid-to-microgrid (G2M), the reverse mcrogrid-to-grid (M2G) operation is also conductible. Moreover, microgrid-to-vehicle (M2V) and vehicle-to-microgrid (V2M) bidirectional operations can also be applicable. The droop control is also applied to perform these interconnected operations. For the grounded aircraft, bidirectional microgrid-to-aircraft (M2A)/aircraft-to-microgrid (A2M) operations can be performed. The aircraft ground power unit (GPU) function can be preserved by the developed microgrid. The MEA on-board facilities can be powered by the microgrid, including the 115 V/400 Hz AC bus, the 270 V DC bus, the switched-reluctance motor (SRM) drive, etc.
本文介绍了机场双极直流微电网的开发及其与公用电网、电动汽车(EV)和更多电动飞机(MEA)的互联运行。微电网的直流母线电压由光伏(PV)和燃料电池(FC)这两种主要能源通过单向三电平(3L)升压转换器产生。提出了基于单周期控制(OCC)的电流控制方案和定量、稳健的电压控制方案,以获得令人满意的响应。此外,还开发了采用 FC 能量支持方法的光伏最大功率点跟踪 (MPPT),以改善可再生能源提取特性。配备的混合储能系统(HESS)由能量型电池和功率型飞轮组成;每个设备通过各自的 3L 双向接口转换器与公共直流母线连接。能量协调运行是通过建议的下垂控制来实现的。为避免因能量过剩而产生过电压,还增加了一个倾卸负载脚。并网能量互补运行采用中性点箝位(NPC)3L 三相逆变器。除了电网到微电网(G2M)的能源支持外,还可进行反向微电网到电网(M2G)操作。此外,微电网到车辆(M2V)和车辆到微电网(V2M)的双向操作也可适用。下垂控制也可用于执行这些互联操作。对于接地飞机,可执行微电网对飞机(M2A)/飞机对微电网(A2M)双向操作。开发的微电网可保留飞机地面动力装置(GPU)的功能。微电网可为 MEA 机载设施供电,包括 115 V/400 Hz 交流总线、270 V 直流总线、开关磁阻电机(SRM)驱动器等。
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引用次数: 0
High Aspect Ratio Composite Wings: Geometrically Nonlinear Aeroelasticity, Multi-Disciplinary Design Optimization, Manufacturing, and Experimental Testing 高纵横比复合材料机翼:几何非线性气动弹性、多学科设计优化、制造和实验测试
Pub Date : 2024-02-28 DOI: 10.3390/aerospace11030193
T. Farsadi, Majid Ahmadi, Melin Sahin, H. Haddad Khodaparast, A. Kayran, M.I. Friswell
In the field of aerospace engineering, the design and manufacturing of high aspect ratio composite wings has become a focal point of innovation and efficiency. These long, slender wings, constructed with advanced materials such as carbon fiber and employing efficient manufacturing methods such as vacuum bagging, hold the promise of significantly lighter aircraft, reduced fuel consumption, and enhanced overall performance. However, to fully realize these benefits, it is imperative to address a multitude of structural and aeroelastic constraints. This research presents a novel aeroelastically tailored Multi-objective, Multi-disciplinary Design Optimization (MMDO) approach that seamlessly integrates numerical optimization techniques to minimize weight and ensure structural integrity. The optimized wing configuration is then manufactured, and a Ground Vibration Test (GVT) and static deflection analysis using the Digital Image Correlation (DIC) system are used to validate and correlate with the numerical model. Within the fully automated in-house Nonlinear Aeroelastic Simulation Software (NAS2) package (version v1.0), the integration of analytical tools offers a robust numerical approach for enhancing aeroelastic and structural performance in the design of composite wings. Nonlinear aeroelastic analyses and tailoring are included, and a population-based stochastic optimization is used to determine the optimum design within NAS2. These analytical tools contribute to a comprehensive and efficient methodology for designing composite wings with improved aeroelastic and structural characteristics. This comprehensive methodology aims to produce composite wings that not only meet rigorous safety and performance standards but also drive cost-efficiency in the aerospace industry. Through this multidisciplinary approach, the authors seek to underscore the pivotal role of tailoring aeroelastic solutions in the advanced design and manufacturing of high aspect ratio composite wings, thereby contributing to the continued evolution of aerospace technology.
在航空航天工程领域,高纵横比复合材料机翼的设计和制造已成为创新和效率的焦点。这些细长的机翼由碳纤维等先进材料制成,并采用真空袋等高效制造方法,有望大幅减轻飞机重量、降低油耗并提高整体性能。然而,要充分实现这些优势,必须解决结构和气动弹性方面的诸多限制。本研究提出了一种新颖的气动量身定制的多目标、多学科优化设计(MMDO)方法,该方法无缝集成了数值优化技术,可最大限度地减轻重量并确保结构完整性。然后制造优化后的机翼配置,并使用地面振动试验(GVT)和数字图像相关(DIC)系统进行静态挠度分析,以验证数值模型并与之相关联。在全自动内部非线性气动弹性模拟软件(NAS2)软件包(版本 v1.0)中,分析工具的集成提供了一种强大的数值方法,用于提高复合材料机翼设计的气动弹性和结构性能。其中包括非线性气动弹性分析和裁剪,以及基于群体的随机优化,以确定 NAS2 中的最佳设计。这些分析工具为设计具有更佳气动弹性和结构特性的复合材料机翼提供了全面、高效的方法。这种综合方法旨在生产出不仅符合严格的安全和性能标准,而且还能提高航空航天工业成本效益的复合材料机翼。通过这种多学科方法,作者试图强调气动弹性解决方案在高纵横比复合材料机翼的先进设计和制造中的关键作用,从而为航空航天技术的持续发展做出贡献。
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引用次数: 0
Maneuvering Decision Making Based on Cloud Modeling Algorithm for UAV Evasion–Pursuit Game 基于云建模算法的无人机规避-追逐博弈的机动决策制定
Pub Date : 2024-02-27 DOI: 10.3390/aerospace11030190
Hanqiao Huang, Weiye Weng, Huan Zhou, Zijian Jiang, Yue Dong
When facing problems in the aerial pursuit game, most of the current unmanned aerial vehicles (UAVs) have good maneuverability performance, but it is difficult to utilize the overload maneuverability of UAVs properly; further, UAVs tend to be more costly, and it is often difficult to effectively prevent the enemy from reaching the tailgating position behind the UAV in the aerial pursuit game. Therefore, there is a pressing need for a maneuvering algorithm that can effectively allow a UAV to quickly protect itself in a disadvantageous position, stably and effectively select a maneuver with the maneuvering algorithm, and stably and effectively establish an advantage by moving to an advantageous position. Therefore, this paper establishes a cloud model-based UAV-maneuvering aerial pursuit decision-making model based on pursuit-and-evasion game positions. Based on the evaluation of the latter, when the UAV is at a disadvantage, we use the constructed defensive maneuver expert pool to abandon the disadvantageous position. When the UAV is at an advantage, we use cloud model-based pursuit-and-evasion game maneuvering decision making to establish an advantageous position. According to the results of the simulation examples, the maneuvering decision-making method designed in this paper confirms that the UAV can quickly abandon its position and establish an advantage in case of parity or disadvantage and that it can also stably establish a tail-chasing position in case of advantage.
在面临空中追击博弈的问题时,目前的无人机大多具有良好的机动性能,但却难以很好地利用无人机的过载机动性;而且,无人机往往成本较高,在空中追击博弈中往往难以有效防止敌方到达无人机后方的尾随位置。因此,迫切需要一种机动算法,能够有效地让无人机在劣势位置快速保护自己,稳定有效地利用机动算法选择机动,并通过移动到优势位置稳定有效地建立优势。因此,本文建立了基于云模型的无人机机动空中追击决策模型,该模型基于追击与规避博弈态势。基于后者的评估,当无人机处于劣势时,我们利用构建的防御机动专家库放弃劣势位置。当无人机处于优势时,我们使用基于云模型的追逐-规避博弈机动决策来建立优势位置。根据仿真实例的结果,本文设计的机动决策方法证实了无人机在均势或劣势情况下都能迅速放弃阵地并建立优势,在优势情况下也能稳定地建立追尾阵地。
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引用次数: 0
A Hybrid Forecasting Model for Self-Similar Traffic in LEO Mega-Constellation Networks 低地轨道巨型星座网络自相似流量的混合预测模型
Pub Date : 2024-02-27 DOI: 10.3390/aerospace11030191
Chi Han, Wei Xiong, Ronghuan Yu
Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks. However, due to the self-similarity and long-range dependence (LRD) of mega-constellation network traffic, traditional linear/non-linear forecasting models cannot achieve sufficient forecasting accuracy. In order to resolve this problem, a mega-constellation network traffic forecasting model based on EMD (empirical mode decomposition)-ARIMA (autoregressive integrated moving average) and IGWO (improved grey wolf optimizer) optimized BPNN (back-propagation neural network) is proposed in this paper, which makes comprehensive utilization of linear model ARIMA, non-linear model BPNN and optimization algorithm IGWO. With the enhancement of the global optimization capability of a BPNN, the proposed hybrid model can fully realize the potential of mining linear and non-linear laws of mega-constellation network traffic, hence improving the forecasting accuracy. This paper utilizes an ON/OFF model to generate historical self-similar traffic to forecast. RMSE (root mean square error), MAE (mean absolute error), R-square and MAPE (mean absolute percentage error) are adopted as evaluation indexes for the forecasting effect. Comprehensive experimental results show that the proposed method outperforms traditional constellation network traffic forecasting schemes, with several improvements in forecasting accuracy and efficiency.
超大星座网络流量预测为路由选择和资源分配提供了关键信息,对卫星网络的性能具有重要意义。然而,由于超大星座网络流量的自相似性和长程依赖性(LRD),传统的线性/非线性预测模型无法达到足够的预测精度。为了解决这一问题,本文提出了一种基于 EMD(经验模态分解)-ARIMA(自回归综合移动平均)和 IGWO(改进灰狼优化器)优化 BPNN(反向传播神经网络)的超大型星座网流量预测模型,综合利用了线性模型 ARIMA、非线性模型 BPNN 和优化算法 IGWO。通过增强 BPNN 的全局优化能力,本文提出的混合模型可以充分挖掘超大型星座网络流量的线性和非线性规律,从而提高预测精度。本文利用 ON/OFF 模型生成历史自相似流量进行预测。采用 RMSE(均方根误差)、MAE(平均绝对误差)、R 平方和 MAPE(平均绝对百分比误差)作为预测效果的评价指标。综合实验结果表明,所提出的方法优于传统的星座网络流量预测方案,在预测精度和效率方面都有一定的提高。
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引用次数: 0
Comparison of Two Aerodynamic Models for Projectile Trajectory Simulation 弹丸轨迹模拟中两种空气动力学模型的比较
Pub Date : 2024-02-27 DOI: 10.3390/aerospace11030189
Nezar Sahbon, Michał Welcer
The accuracy of aerodynamically controlled guided projectile simulations is largely determined by the aerodynamic model employed in flight simulations which impacts vehicle interaction with the surrounding air. In this work, the performance of projectile path following with two distinct aerodynamic models is examined for their possible influence on trajectory following accuracy. The study incorporates the path following guidance algorithm, which enables the object to navigate along a predefined path. The simulation mathematical model is developed in the MATLAB/Simulink environment. In addition, by integrating the path-following algorithm with the two aerodynamic models, the dynamic behaviour of the aerodynamically controlled projectile can be compared. This allows for a more comprehensive analysis of the trajectory and the effects of each model on the desired flight path. Further research can explore the differences between the two models in greater detail and quantify their impact on unmanned projectile trajectory predictions, in addition to further exploring the specific characteristics and limitations of each model. This will involve analysing their assumptions, computational methods, and inputs to identify potential sources of error or uncertainty in the simulations. Moreover, these results have important implications for the design of aerodynamically controlled projectiles as well as a deeper understanding of aerodynamic mathematical modelling in flight simulation.
气动控制制导射弹模拟的精度在很大程度上取决于飞行模拟中采用的气动模型,该模型会影响飞行器与周围空气的相互作用。在这项工作中,研究了采用两种不同气动模型的弹丸轨迹跟踪性能,以了解它们对轨迹跟踪精度可能产生的影响。研究结合了路径跟踪制导算法,该算法可使物体沿预定路径导航。仿真数学模型是在 MATLAB/Simulink 环境中开发的。此外,通过将路径跟踪算法与两种空气动力学模型相结合,可以比较空气动力学控制弹丸的动态行为。这样就可以更全面地分析飞行轨迹以及每个模型对所需飞行轨迹的影响。进一步的研究可以更详细地探索两种模型之间的差异,并量化它们对无人驾驶弹丸轨迹预测的影响,此外还可以进一步探索每种模型的具体特点和局限性。这将涉及分析它们的假设、计算方法和输入,以确定模拟中潜在的误差或不确定性来源。此外,这些结果对于气动控制弹丸的设计以及更深入地了解飞行模拟中的气动数学建模具有重要意义。
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引用次数: 0
Experimental Investigation of the Shock-Related Unsteadiness around a Spiked-Blunt Body Based on a Novel DMD Energy Sorting Criterion 基于新型 DMD 能量排序准则的尖钝体周围冲击相关不稳定性实验研究
Pub Date : 2024-02-27 DOI: 10.3390/aerospace11030188
Yifan Wang, Jinglei Xu, Qihao Qin, Ruiqing Guan, Le Cai
In this study, we propose a novel dynamic mode decomposition (DMD) energy sorting criterion that works in conjunction with the conventional DMD amplitude-frequency sorting criterion on the high-dimensional schlieren dataset of the unsteady flow of a spiked-blunt body at Ma = 2.2. The study commences by conducting a comparative analysis of the eigenvalues, temporal coefficients, and spatial structures derived from the three sorting criteria. Then, the proper orthogonal decomposition (POD) and dynamic pressure signals are utilised as supplementary resources to explore their effectiveness in capturing spectral characteristics and spatial structures. The study concludes by summarising the characteristics and potential applications of DMD associated with each sorting criterion, as well as revealing the predominant flow features of the unsteady flow field around the spiked-blunt body at supersonic speeds. Results indicate that DMD using the energy sorting criterion outperforms the amplitude and frequency sorting criteria in identifying the primary structures of unsteady pulsations in the flow field, which proves its superiority in handling an experimental dataset of unsteady flow fields. Moreover, the unsteady pulsations in the flow field around the spiked-blunt body under supersonic inflow conditions are observed to exhibit multi-frequency coupling, with the primary frequency of 3.3 kHz originating from the periodic motion of the aftershock.
在本研究中,我们提出了一种新的动态模态分解(DMD)能量排序准则,该准则与传统的 DMD 振幅频率排序准则相结合,适用于 Ma = 2.2 时尖头钝体非稳态流的高维离散数据集。研究首先对三种排序准则得出的特征值、时间系数和空间结构进行了比较分析。然后,利用适当正交分解(POD)和动态压力信号作为补充资源,探讨它们在捕捉频谱特征和空间结构方面的有效性。研究最后总结了与每种分类标准相关的 DMD 特性和潜在应用,并揭示了超音速下尖头钝体周围不稳定流场的主要流动特征。结果表明,在识别流场中不稳定脉动的主要结构方面,使用能量排序准则的 DMD 优于振幅和频率排序准则,这证明了其在处理不稳定流场实验数据集方面的优越性。此外,在超音速流入条件下,观察到尖钝体周围流场中的非稳态脉动表现出多频耦合,其中 3.3 kHz 的主频源于余震的周期性运动。
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引用次数: 0
Effect of Impellers on the Cooling Performance of a Radial Pre-Swirl System in Gas Turbine Engines 叶轮对燃气涡轮发动机径向预漩涡系统冷却性能的影响
Pub Date : 2024-02-26 DOI: 10.3390/aerospace11030187
Wenjie Shen, Suofang Wang, Xiaodi Liang
Impellers are utilized to increase pressure to ensure that a radial pre-swirl system can provide sufficient cooling airflow to the turbine blades. In the open literature, the pressurization mechanism of the impellers was investigated. However, the effect of impellers on the cooling performance of the radial pre-swirl system was not clear. To solve the aforementioned problem, tests were carried out to assess the temperature drop in a radial pre-swirl system with various impeller configurations (impeller lengths l/b ranging from 0 to 0.333). Furthermore, numerical simulations were used to investigate the flow and heat transfer characteristics of the radial pre-swirl system at high rotating Reynolds numbers. Theoretical and experimental investigations revealed that the pre-swirl jet and output power generate a significant temperature drop, but the impellers have no obvious effect on the system temperature drop. By increasing the swirl ratio, the impellers reduce the field synergy angle and thus improve convective heat transfer on the turbine disk. In addition, increasing the impeller length can reduce the volume-averaged field synergy angle and improve heat transfer, but the improvement effectiveness decreases as the impeller length increases. Thus, the study concluded that impellers could improve the cooling performance of the radial pre-swirl system by enhancing disk cooling.
叶轮用于增加压力,以确保径向预漩涡系统能够为涡轮叶片提供足够的冷却气流。公开文献对叶轮的增压机制进行了研究。然而,叶轮对径向预漩涡系统冷却性能的影响并不明确。为了解决上述问题,我们进行了试验,以评估具有不同叶轮配置(叶轮长度 l/b 从 0 到 0.333 不等)的径向预漩涡系统的温降。此外,还利用数值模拟研究了高旋转雷诺数下径向预漩涡系统的流动和传热特性。理论和实验研究表明,预漩涡射流和输出功率会产生显著的温降,但叶轮对系统温降的影响并不明显。通过增加漩涡比,叶轮可减小场协同角,从而改善涡轮盘上的对流传热。此外,增加叶轮长度可以减小容积平均场协同角,改善传热,但改善效果随着叶轮长度的增加而降低。因此,研究认为,叶轮可以通过增强盘冷却来改善径向预漩涡系统的冷却性能。
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引用次数: 0
Optimal Design of Ejector Nozzle Profile with Internal and External Integrated Flow 内外集成流喷射器喷嘴轮廓的优化设计
Pub Date : 2024-02-26 DOI: 10.3390/aerospace11030184
Yihe He, Xiaojuan Shi, Honghu Ji
Based on the orthogonal experimental method, a simulation case of the flow field of the ejector nozzle was designed to investigate the influence of the structural parameters of the ejector nozzle on the internal and external flow. This study explored the effects of throat area, outlet area, throat position, and ejector nozzle length on the ejector flow rate ratio, thrust coefficient, and net thrust coefficient. Subsequently, flow path geometry optimization was conducted to maximize the thrust coefficient or net thrust coefficient. The results revealed that the throat area ratio and the outlet area of the ejector nozzle are the primary factors affecting the aerodynamic performance. Compared to the baseline ejector nozzle model, the optimal model for thrust coefficient exhibited a 16.333% improvement, while the optimal model for net thrust coefficient demonstrated a significant enhancement of 46.674%.
在正交实验方法的基础上,设计了喷射器喷嘴流场的模拟案例,以研究喷射器喷嘴的结构参数对内部和外部流动的影响。该研究探讨了喉管面积、出口面积、喉管位置和喷射嘴长度对喷射流量比、推力系数和净推力系数的影响。随后,进行了流道几何优化,以实现推力系数或净推力系数的最大化。结果表明,喷射器喷嘴的喉部面积比和出口面积是影响气动性能的主要因素。与基线喷射器喷嘴模型相比,推力系数的最优模型提高了 16.333%,而净推力系数的最优模型则显著提高了 46.674%。
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引用次数: 0
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