bluuebunny/crossref_metadata_2025_split huggingface dataset:
Directional control law functional analysis and design for civil aircraft simulator
Authors: Xie Gangtao , Chen Lei , Qu Xiaoyu 
Published: November 2024

Abstract
Functional analyses of directional flight control law for a typical civil aircraft are conducted, including directional maneuver, rudder limiter, coordinated turn, Yaw Damper, Thrust Asymmetrical Compensation, Gust Alleviation, manual rudder trim, etc. Through inputs of doublet, step input, and sweeping frequency, open loop control characteristics are analyzed based on a linearized state-space matrix. Simulink block architecture of a closed-loop directional control law is constructed, aiming to fulfill flight control functions, including pedal-to-rudder control, Yaw Damper, coordinated turn, and gain-tuned rudder limiter. Simulations for the previously designed closed-loop directional control law are performed to verify the characteristics of directional handling qualities in the aspect of the Yaw Damper, directional static and dynamic stability, maneuverability, and sweeping frequency.
Study on cross effect of mesh and turbulence model on separated flow prediction using a tandem cylinder case
Authors: Pang Chao , Wang Tao , Ba Weitao , Lv Shuiyan , Xie Botao 
Published: November 2024

Abstract
Low dissipative separated flow prediction is still a great challenge in aeronautics engineering. An open-source CFD code named SU2 is employed to study the cross effect of mesh as well as turbulence model on the numerical resolution of separated flow for a tandem cylinder case. Firstly, a nonlinear variation of the numerical resolution for the separated flow is found by comparing the mean surface pressure distribution, mean streamwise velocity profile, the instantaneous vorticity magnitude as well as the aerodynamic forces on the rear cylinder. The resolution of separated flow from the medium mesh is the best compared to those getting from the coarse and fine mesh. Secondly, the reason causing the nonlinear variation of flow resolution is analyzed considering the influence of spatial discretization error and turbulent viscosity locally. A finer mesh would lead to a low spatial discretization error and then a high turbulent viscosity and then causes nonlinear variation of flow resolution. Finally, the existence of a “density boundary” of the mesh is proposed which could balance the spatial precision as well as turbulent viscosity and achieve the prediction of separated flow with a good resolution employing the RANS method.
Optimization of embedded sensor placement for small satellites
Authors: Sun Hao , Yue Zhongwen , Liu Chuang , Wu Wenhua , Peng Jinkun , Li Yi , Ren Zhiqiang 
Published: November 2024

Abstract
Dynamic environment testing is important in the manufacturing phase of a satellite before launch. However, redundancy is introduced into the testing by the massive placement of vibration sensors inside and outside the satellite, adversely affecting testing efficiency, especially in the development of satellite constellations. An intelligent algorithm-based sensor optimization method is proposed to maximize the relationship between measure points and reduce the number of internal sensors while ensuring the independence of external sensors. A frequency response matrix of internal and external sensors is constructed through a frequency-sweeping analysis of the satellite structure. Subsequently, external sensors are categorized into different groups by using principal component analysis (PCA) and K-means clustering analysis. A modified information entropy approach is applied to optimize the quantity of internal sensors. Through the practical application of sensor reduction in a specific satellite, the proposed method achieves a good reduction result.
The properties of axion with three different sets of parameters in two flavor Nambu-Jona-Lasinio model
Authors: Zhao Wenhao , Zhu Yuqi 
Published: November 2024

Abstract
While the properties of axions have been studied primarily through high-energy physics and cosmology, there are some potential connections between the research results and the aerospace field. We study the properties of axions in hot and dense matter with three different sets of parameters in the Nambu-Jona-Lasinio model, including axion mass and self-coupling. We discussed axion mass and self-coupling, noting that axion properties are very sensitive to chiral phase transitions for three sets of parameters. The axion mass and self-coupling rapidly decrease in the chiral crossover region. The value of self-coupling becomes very sharp, appearing as a kinklike feature in the chiral phase transition.
Dynamic model decomposition study on the influence of cutback surface length on the wake characteristics of turbine blades
Authors: Luo Yuxi , Wen Fengbo , Wang Songtao , Guo Licheng 
Published: November 2024

Abstract
The flow within a cascade of pressure-side cutback cooling blades with different cutback surface lengths is predicted using the unsteady numerical method. Dynamic Mode Decomposition (DMD) is used for flow field order reduction analysis. The relationship between varying cutback surface lengths and the wake dynamics is analyzed. The analysis shows that the shear layer behind the trailing edge and lip dominates the unsteady flow in the wake region. As the cutback surface length diminishes, an increase in the modal frequencies of both the lip shear layer and the wake shear layer is observed. As the cutback surface length is shortened, the shear layer behind the lip causes stronger oscillations in the shear layer behind the trailing edge, subsequently leading to an augmentation in the amplitude width of the wake mode across the transverse direction.
Research on trajectory planning based on deep reinforcement learning
Authors: Zhou Zan , Hu Runchang , Gong Zheng , Zhang Zhuhua 
Published: November 2024

Abstract
For trajectory planning in a three-dimensional continuous space with multiple complex constraints, traditional optimal control methods face significant challenges, such as long computation times and poor dynamic performance. Using deep reinforcement learning algorithms for training agents in flight trajectory planning can effectively improve the dynamic performance of the planning algorithms. This paper focuses on training agents for UAV emergency landing and obstacle avoidance trajectory planning based on deep reinforcement learning algorithms. Within the reinforcement learning framework, we design the training environment, state space, action space, reward function, and neural network structure. To address common issues in reinforcement learning, such as poor generalization and slow training speed, we improve the training process using the concept of curriculum learning. Comparisons with pseudospectral methods demonstrate that deep reinforcement learning can effectively handle trajectory planning tasks in real flight environments, achieving trajectory quality close to that of pseudospectral methods while offering superior real-time performance.
Simulation of the electromagnetic scattering characteristics in inductively coupled plasma array for aircraft stealth
Authors: Guan Yong , Zhang Zhengquan 
Published: November 2024

Abstract
In this paper, an electromagnetic model of an inductively coupled plasma (ICP) array is developed to investigate its electromagnetic transmission characteristics under varying discharge conditions. The reliability of the model is enhanced by basing plasma parameters on simulation results from a fluid dynamics model. Electromagnetic simulations analyze the reflection spectrum of the inductively coupled plasma array, revealing the modulation mechanism of the plasma array. Findings indicate that as excitation power increases, the attenuation peak of the ICP array shifts to higher frequencies, and the attenuation bandwidth widens. By employing different power levels for the two layers in the Inductively Coupled Plasma (ICP) process, the array can achieve effective stealth performance with lower power consumption. Adjusting plasma discharge parameters to match specific scenarios enables the proposed plasma array to achieve varied modulation effects, expanding its potential applications in aircraft stealth.
Transient dynamics simulation of helicopter tail transmission shaft damage
Authors: Yuan Rongyi , Yang Kai 
Published: November 2024

Abstract
Using the LS-DYNA explicit dynamic analysis software, a finite element model of projectile damage in helicopter tail transmission shaft was established with the Johnson-Cook intensity model. The dynamic response of the tail transmission shaft during bullet penetration was simulated dynamically, revealing that projectile damage is the primary mode of failure. Three typical angles were selected to simulate the penetration process, and results indicate that compared to vertical and 45°bullet penetrations, tail transmission shaft damage is more severe.
Research on background heat flux of the thermal balance test system based on solar simulator
Authors: Gao Qingzhe , Wu Dongliang , Wang Runze , Lin Boying , Li Xiyuan , Xu Yantong 
Published: November 2024

Abstract
In the thermal balance test system based on the solar simulator, the background heat flux of the test system can cause additional heating to the spacecraft, reducing the effectiveness of the thermal test. Hence, it is necessary to conduct in-depth research on the impact of background heat flux through experimental and numerical methods. This paper first measures the background heat flux of the thermal test system based on the KM6 large-scale solar simulator experimentally, which is 35W/m2. Then, a simulation model of the thermal balance test system is established to clarify that the background heat flux originates from the cone chamber and collimating reflector of the solar simulator system. The result provides technical support for achieving a high-precision simulation of the space external heat flux based on the solar simulator.
Study on the aerodynamic characteristics of reentry capsule with obtuse head inverted cone under hypersonic chemical nonequilibrium flow
Authors: Sun Bin , Chen Weiyue , Huang Cai , Long Yin , Diao Weihe , Zhang Huiwen 
Published: November 2024

Abstract
During spacecraft reentry, the aerodynamic characteristics of the reentry capsule with a sizeable obtuse head inverted cone (OBHIC) in a hypersonic state are the key factors in the design of controlled reentry trajectory, the design of trim angle of attack (AoA), and the accuracy of fall point of capsules. This paper establishes a numerical simulation algorithm of a hypersonic chemical nonequilibrium flow field by considering high-temperature real gas effects. The reentry capsule’s aerodynamic and flow field characteristics are predicted and analyzed. The component transport equations for chemical reactions are added to the Navier-Stokes equations, enabling precise modeling of gas molecule vibrational excitation and ionization processes. A half-model multi-block structured mesh is employed to construct the aerodynamic profile of the reentry capsule with OBHIC. The aerodynamic characteristics and pressure distribution of the reentry capsule were calculated and analyzed under the typical conditions of flight altitude of 40~80 km, flight velocity of 6~27 Ma, and AoA of 15°~24°. The results of the aerodynamic characteristics prediction show that the aerodynamic characteristics of the reentry capsule are little affected by the incoming flow velocity in a hypersonic state but significantly affected by the AoA. As the AoA increases, the lift coefficient CL
increases linearly, the drag coefficient CD
decreases linearly, the lift-to-drag ratio K rises linearly, and K increases from 0.19 to 0.29. In its hypersonic state, the reentry capsule exhibits a low lift-to-drag ratio, characterized by high drag and low lift coefficients. The results of this paper play an essential role in the reentry flight dynamics and reentry trajectory design of the reentry capsule. Moreover, it can further ensure the safety and reliability of the reentry flight of spacecraft.
Modeling method of random collision of ellipsoidal particles in mechanical simulation for high energy solid propellant
Authors: Ma Xuhang , Li Chuntao , Jiang Pengchen , Xu Fangyi , Song Xiangyu , Li Wei 
Published: November 2024

Abstract
It is based on the molecular dynamics algorithm of elliptical optimization to establish a mesostructure model of oval particles of high-energy solid propellant considering gradation and controllable filling rate according to the mesostructure characteristics of high-energy solid propellant. The bilinear cohesion model was applied to describe the interface damage behavior and carry out the high-energy propellant tensile test at three rates. The rationality of the elliptical particle model has been verified between the comparison of the calculated results with the experimental results established to describe the micromechanical behavior of high-energy propellants, which is to reveal the mesoscopic damage law of high-energy solid propellant under different tensile rates in this paper.
Heat flux measurement at hypersonic turbulent separated flow field induced by the blunt fins
Authors: Ma Jikui , Liu Yaofeng , Liu Yuwei , Shi Jun 
Published: November 2024

Abstract
Hypersonic separated flow induced by the protrusions is one of the most concerning research studies in aerodynamics due to the complex flow structure and the significance of engineering. An experimental study of three-dimensional hyper-sonic separated flow induced by the blunt fins is investigated. The tests are performed with inflow Mach number 6. The main flow properties of the shock systems are described by analyzing Schlieren photographs. The heat flux data are obtained by using high precision platinum film sensors. The effects of the fin sweep angle are also presented. Results show that the maximum heat flux decreases, and the range of the separation zone quickly reduces as the swept angle increases. Low-frequency oscillations of separated flow fields are analyzed through instantaneous heat flux signals at typical measuring points. It is shown that characteristic frequencies of shock wave oscillation with no rear sweep angle is about 1 k Hz.
Nanodosimetric investigation of the track structure of therapeutic carbon ion radiation part2: detailed simulation
Authors: Schwarze Miriam , Hilgers Gerhard , Rabus Hans 
Published: November 2024

Abstract

Objective a previous study reported nanodosimetric measurements of therapeutic-energy carbon ions penetrating simulated tissue. The results are incompatible with the predicted mean energy of the carbon ions in the nanodosimeter and previous experiments with lower energy monoenergetic beams. The purpose of this study is to explore the origin of these discrepancies. Approach detailed simulations using the Geant4 toolkit were performed to investigate the radiation field in the nanodosimeter and provide input data for track structure simulations, which were performed with a developed version of the PTra code. Main results the Geant4 simulations show that with the narrow-beam geometry employed in the experiment, only a small fraction of the carbon ions traverse the nanodosimeter and their mean energy is between 12% and 30% lower than the values estimated using the SRIM software. Only about one-third or less of these carbon ions hit the trigger detector. The track structure simulations indicate that the observed enhanced ionization cluster sizes are mainly due to coincidences with events in which carbon ions miss the trigger detector. In addition, the discrepancies observed for high absorber thicknesses of carbon ions traversing the target volume could be explained by assuming an increase in thickness or interaction cross-sections in the order of 1%. Significance the results show that even with strong collimation of the radiation field, future nanodosimetric measurements of clinical carbon ion beams will require large trigger detectors to register all events with carbon ions traversing the nanodosimeter. Energy loss calculations of the primary beam in the absorbers are insufficient and should be replaced by detailed simulations when planning such experiments. Uncertainties of the interaction cross-sections in simulation codes may shift the Bragg peak position.
Bubble defect detection for tire shearography images with transfer learning based deep CNN models
Authors: Saleh Nagmy A A , Al-Areqi Farid , Konyar Mehmet Zeki , Kaplan Kaplan , Öngir Semih , Ertunç H Metin 
Published: November 2024

Abstract
Safety of drivers and passengers is an important quality assurance aim of the tire manufacturers. Tires that have air bubbles in them are a frequent cause of accidents. Recently, manufacturers have placed a high value on employing laborers with tire diagnostic experience. Along with the expenditure of time and money, this process also necessitates a sizable workforce of experienced laborers. The detection of tire defects can be automated utilizing a number of different ways, greatly reducing the margin for human error. One such method is digital shearography, which can be used to detect air bubbles in images. In this study, transfer learning based models are proposed to classify air bubble defects in tire shearography images. Proposed method employed in transfer learning with several deep learning CNN-based models, including VGG16, VGG19, ResNet50, Xception, MobileNetV2 and DenseNet201. Owing to the assistance of the experts at the Pirelli Automobile Tires Izmit factory, we were able to collect and label the dataset used in this study. The dataset contains 1392 tire shearography images. 811 of these images belong to the ‘good’ class, while the remaining 581 images belong to the ‘bad’ class. The proposed method in this study achieves remarkable bubble detection results over 95% in terms of accuracy and other metrics with the DenseNet201 model. The results indicate that the proposed model has comparable accuracy and recall with the existing studies. This study is valuable for the tire industry, as the existing literature offers limited research on the classification of tire bubble defects, the differentiation between defective and defect-free tires, and the categorization of various defect types. In addition, the proposed model offers several advantages over existing studies, including higher robustness against overfitting, suitability for real-time industrial applications, and improved efficiency in processing, making a practical solution for defect detection in industrial settings.
Investigation of excellence in Nd-YAG laser cutting of Al6061-T6 thin sheet using GRA coupled with PCA
Authors: Sharma Amit , Joshi Priyanka , Bhuyan Basanta Kumar , Phanden Rakesh Kumar 
Published: November 2024

Abstract
Cutting flying materials with minimum deviations and metallurgical damages is always preferred for airframe work in aircraft industries. In the present scenario, the laser cutting process has become the preferred choice for fine cutting of sheet materials with close tolerances. This paper reports the investigation of excellence in pulsed laser cutting of Al-alloy (Al6061-T6) sheet. Five quality characteristics for quantifying the dimensional accuracy (i.e., kerf width and deviation at the top and bottom side) and metallurgical damage (i.e., heat-affected zone) have been considered for the proposed work. These characteristics depend on the lamp current, laser parameters (pulse width and frequency), and relative motion between the sheetmetal and laser source. The experiments were performed using the design of the experiments technique. Further, the results of laser cutting have been optimized by using grey relational analysis (GRA) coupled with principal component analysis (PCA). The application of GRA-PCA is found capable of optimizing all five process responses at a time. The unevenness within the kerf is reduced by 22% and 32% at the top and bottom sides, respectively.
Max Weber, Imperialism, and the Fate of Globalization
Authors: Derman Joshua 
Published: November 2024

Abstract
This chapter reconstructs Weber’s theoretical understanding of the global economy and its relationship to imperialism at the turn of the twentieth century. Competing interpretations of Weber tend to depict him, in binary fashion, as either a proponent of imperial autarky or a defender of liberal globalization. A close analysis of Weber’s 1897 rebuttal of the economist Karl Oldenberg shows that neither interpretation does justice to the nuances of his thought. Weber believed that both international conflict and economic interdependency would remain ineradicable features of world order. Despite the inevitable growth of geopolitical tensions and the waning of public confidence in “free competition,” Weber predicted that great powers would remain dependent on a global, albeit increasingly militarized international economy. While Weber’s diagnosis has not always corresponded to the realities of twentieth-century international history, the uncanny parallels between his vision and the present crisis of international order are worth considering.
Introduction
Authors: Holo Selma 
Published: November 2024

Abstract
This chapter explores the role of the visual arts in human flourishing. It considers the expansive nature of the visual arts and the impossibility of caging them in traditional definitions. The visual arts can stimulate creativity, inspire, encourage contemplation and empathy, expand the limitations of reality, and enable those who respond to them to live their lives more generously and more generatively. Moreover, for artists, flourishing is the most desired state of being, especially since well-being sits a little deeper than happiness in the human psyche. The chapter then considers the potential for intersectionalities of human flourishing with the visual arts and its subsequent problems that might hinder flourishing in the long run.
“Art,” “Well-Being,” and Questions Without Answers
Authors: Ingold Kate 
Published: November 2024

Abstract
This chapter discusses the interplay of art and well-being. It starts with the phenomenon of Stendhal syndrome while referencing the people suffering from heart attacks while viewing Botticelli’s The Birth of Venus. The perception of art is subjective, especially when one artwork might be viewed as threatening while another could be seen as edifying. Moreover, the presence of art is one of the hallmarks of human-occupied prehistoric sites. The chapter looks into the constant need to assert the utilitarian role of art, such as the symbology for religion, political alliance, and group cohesion. It provides an overview of how well-being and flourishing affect art before considering the impact of art on well-being.
All Artists Are Poor
Authors: Campbell Andy 
Published: November 2024

Abstract
This chapter examines the correlation between economic justice and human flourishing. Beverly Buchanan’s business card and its list of expansive skills present her approach to making art that unveils the visibility and invisibility of poverty’s persistence coursing under the more common art theoretical and aesthetic discourses. The chapter explains that ensuring the contribution of art to general human flourishing would require providing artists with pathways to real and lasting economic stability. It highlights the significance of poverty affecting every single aspect of a person’s life and stability. However, the problem of art’s devalued position in the United States remains achingly apparent despite the scarcity of poverty as a critical hermeneutic.
Amber
Authors: Causey Faya 
Published: November 2024

Abstract
This chapter covers the complexity of the human relationship with amber. Regardless of the notions of being a gemstone or fossil, amber is best understood as a transformed organic material of great age, which is largely similar to coal. The fascination with amber and the disenchantment with it can be at least largely understood as a function of its perceived relationship to human flourishing. The chapter looks into the numerous functions of amber due to its properties, such as attracting other light materials and being used as medicine. It provides an overview of an empirical study of the happiness of people who own or use amber.