bluuebunny/crossref_metadata_2025_split huggingface dataset:
Increasing predictability in the response of an AI-assisted stall recovery system in complex stall conditions by expanding the knowledge-base of AI
Authors: Koopman C , Zammit-Mangion D 
Published: March 2024

Abstract
The environment in the cockpit of commercial aircraft is becoming increasingly complex due to the introduction of automation systems. This complexity is especially evident when malfunctions take place, making it difficult for pilots to comprehend the interconnectedness of the systems and potentially leading to loss of control. This paper investigates a novel method for creating an Artificial Intelligence-based stall recovery assistant using Reinforcement Learning by training the agent to generate a stall and subsequently recover from it. This enables training in a large training space with a simple reward function, where the agent has the ability to develop a deep understanding of the environment. Tests show that the agent is able to recover from stall at a variety of altitudes while experiencing unreliable airspeed information originating from a blocked Pitot tube system and with a better response than all baseline agents. The results indicate that restricting AI is not always necessary and, further, that too many restrictions can lead to a system that learns only shallow features, causing it to be unreliable in unforeseen circumstances.
Drone intrusion management systems in airports: assessment of ASPRID solution
Authors: Pascarella D , Bieber P , Cioffi M , Dubot T , Ippolito M , Jiménez Roncero F J , Martinavarro Armengol E , Pellegrino P , Remiro Bellostas A , Sodano M , Vozella A 
Published: March 2024

Abstract
Drone intrusions pose a growing threat for the airports as their expansion is sponsored by the widespread availability of their technology and by the ongoing U-space implementation. Counter-drone systems traditionally employ a reactive policy, which implies the closure of the overall airport following an intrusion, penalizing the continuity and the resilience of airport operations. Instead, a drone intrusion management system shall ensure a resilient behaviour against drone intrusions with a proactive policy, supported by specific procedures to mitigate the impacts of intrusions. ASPRID (Airport System PRotection from Intruding Drones) is an exploratory research project to develop an innovative operational concept for managing both careless and malicious drone intrusions in airports. This work demonstrates the positive impact of the ASPRID solution for the resilient protection of airport operations against drone intrusions. Such impact is assessed by means of real-time simulations, including a gaming exercise with experts representing aerodrome stakeholders and Law Enforcement Agencies. We present here the main results of the quantitative assessment and the main feedbacks received by the experts.
Operational pressure and the SHP framework: Connecting the dots for safety
Authors: Marsman L A , Vlasblom J I D , Minnema M F 
Published: March 2024

Abstract
Operational pressure refers to pressure, whether induced or self-induced, that can affect the (flight) operation and may also impact safety. It is a hot topic in many sectors, being an important reason for multiple personnel strikes - the aviation sector is no exception here. Given the rapid evolution of these different operational pressures as the world adapts, continuous attention will be necessary for addressing the concept of operational pressure and discovering new mitigation strategies. Therefore, this paper delves deeper into both current and future factors influencing operational pressure, as well as mentioning some potential mitigating measures. Moreover, the case of operational pressure is structured and visualised using NLR’s Safety & Human Performance (SHP) framework. The result provides a structured overview of the impacts of different operational pressures on safety, which can aid in developing mitigations to lessen the effect of such pressures.
Preliminary study of pilot stress and mental workload monitoring through physiological signals
Authors: Luzzani G , Buraioli I , Demarchi D , Guglieri G 
Published: March 2024

Abstract
The aviation industry is moving towards single-pilot operations due to increased operating expenses and a shortage of pilots. The necessity of developing a digital cockpit assistant leads to discovering methods to assess the stress and mental workload of pilots. This study used twenty-eight healthy volunteers to conduct preliminary computerised cognitive tasks while recording their physiological data for PPG, EDA, and temperature under four different stress and workload situations. The results highlight how they are sensible to a binary classification between a relaxed and more cognitively demanding condition.
Safety and Resilience Bayesian Belief Network (SR-BBN) for ATM
Authors: Jurado Raquel Delgado-Aguilera , Comendador Víctor Fernando Gómez , Suárez María Zamarreño , Moreno Francisco Pérez , Gallego Christian Eduardo Verdonk , Valdés Rosa María Arnaldo 
Published: March 2024

Abstract
This study delves into the realm of Air Traffic Management (ATM) and its criticality in ensuring the safety and resilience of aviation systems. Traditionally, safety has been approached reactively (Safety I), but with the complexities of socio-technical systems like ATM, a shift towards proactive measures is essential. This research explores Resilience Engineering (RE) and Safety II, emphasizing learning from a system’s adaptability in everyday situations. ATM, a multifaceted system, relies on technology, organization, and human interactions, striving to maintain equilibrium among these pillars for safe and efficient operations. Any changes to these elements can disrupt this balance, necessitating a systemic perspective. Safety in ATM depends on resource availability, timeliness, and coordination among organizations and humans, while resilient performance extends safety beyond the expected operating conditions. To unify safety and resilience, this study introduces the Safety Resilience-Bayesian Network (SR-BBN) model. This model integrates data-driven and knowledge-based approaches, categorizing variables into separations, external factors, nominal conditions, and Air Traffic Controller (ATCO) strategies. The SR-BBN model aids in predicting safety outcomes and identifies influential variables.
Enhancing Development of Modular Application-Specific Configurable Space Robots
Authors: Wiedemann H. , Schilling M. , Chowdhury P. , Brinkmann W. , Kien I. , Li J. , Langosz M. , Michelson E. 
Published: March 2024

Abstract
In many space activities, existing robotic systems are highly mission-specific and cannot be reused. On the other hand, there are several highly modular system designs, that lack the specialized hardware, yet. The MODKOM (Modular Components as Building Blocks for Application-specific Configurable Space Robots) project, aims to create a toolbox that allows to configure and recombine a robot for certain tasks, out of specialized and standardized building blocks; this also includes commercial off-the-shelf components. Therefore, MODKOM also focuses on providing a software framework to compose and configure such systems. Based on the proposed system modeling, all entities (hard- & software) can be represented, handled, and also be stored to reuse sub-systems. By providing adequate (graphical) user interfaces and thereby lowering the need for manually-typed files, this process is simplified benefiting accessibility to non-experts. First tests in parallel projects show already the reduced necessity for manual configuration work and thus, a decrease in mistakes in formerly error-prone tasks. MODKOM also provides a set of modular hardware building blocks, which will be used in the upcoming final demonstration scenario to evaluate the advances made.
Context-attentive robot reconfiguration for human-machine space missions
Authors: Kien I. , Meder M. , Sharma P. 
Published: March 2024

Abstract
With humankind’s aspiration of extraterrestrial inhabitation, the need for robotic support is eminent. To master the emerging challenge of providing astronauts with assistive space robots possessing the required adaptability to new situations and tasks under the constraints of severely limited supply chains in extraterrestrial missions, the utilization of existing hardware to its fullest is required. We propose the combination of a concept with an architecture to jointly support context-aware collaboration between humans and robotic systems for implementing effective resource utilization in space missions. The underlying framework is an implementation of a flexible architecture that enables context awareness for robotic systems. It supports processing nodes for retrieval of context information from the raw sensor values as well as further inferences using the output of nodes. Context information spans across three entities and describes the current state of the environment, the astronaut, and the robot itself. This information then can be used to infer the human’s current intention as well as influence the behaviour to be executed next. Additionally, dynamic changes in the data processing chains are handled by the framework to facilitate an adequate adaptation of the system to situational events. We combine this architecture with the concept of space robots as a composition from building blocks, which are supported and made accessible by a software toolkit. The modular design approach enables online self-reconfiguration of robotic hardware and software components. In combination with dynamic mission planning, based on ontological descriptions of available resources and functionalities, robots are able to adapt their physical and computational appearance dynamically during a mission according to different tasks and goals. By incorporating these two developments in a joint deployment we envision raising the efficiency of robotic systems in human-machine interaction through the usage of self-reconfiguration as a reactive behavior in order to adapt to a specific task, recognized or derived from a human’s intention. Transfer of the proposed idea back to Earth may help to abate resource dissipation caused by deploying specialized monolithic systems with a narrow range of capabilities through utilizing the adaptivity of reconfigurable robots.
Study on the influence of thermal aging on the mechanical and magnetic properties of ferritic steel
Authors: Jia Wenqing , Fan Minyu , Wan Jing , Qi Shuang , Liu Xiangbing , Xu Chaoliang , Li Yuanfei , Qian Wangjie , Quan Qiwei , Yin Jian 
Published: March 2024

Abstract
Due to the extensive use of ferrite in nuclear power plants, the thermal aging issues of ferritic alloys have attracted significant attention. The present study investigates thermally aged FeCr binary ferritic alloys with different Cr contents using various mechanical and magnetic properties tests. The result indicates that the increase in Cr element content and prolonged thermal aging significantly enhances the strength of alloy materials, along with an important reduction in toughness. Meanwhile, the magnetic characteristic shows a considerable difference in different ferritic alloys with varying Cr contents under the influence of thermal aging. As a potential characterization method, magnetic measurement can be used to determine the thermal aging degree in ferritic alloys and the Cr concentration should be considered.
Study on the effect of double mineral admixtures on the properties of high water materials
Authors: Zheng Yuying , Wang Qiufeng , Zhao Yuanyuan 
Published: March 2024

Abstract
In this paper, different contents of fly ash, silica fume, slag, and Nano-SiO2 were added to the high water material. Then, fly ash-silica fume, slag-silica fume, and Nano SiO2-silica fume are mixed into the high water material. Through the strength test of two groups of specimens, the influence of different types of mineral admixtures and blending ratios on the physical and mechanical properties of high-water materials was studied. The mechanical parameters of high water doped materials were measured by ultrasonic method, and the internal pore structure of high water doped materials was analyzed. In the case of double mixing, the optimal mixing amount is 4% fly ash and 6% silica fume, and the 7 d compressive strength of this group of specimens is increased by 15.85% compared with the original high water material. Through ultrasonic detection, the first wave is smooth and stable, the longitudinal wave amplitude curve is flat, the peak difference is slight, and the periodic amplitude is uniform, indicating that the structure of this group of specimens is dense. The shear modulus is increased by 20.31%, Young’s modulus is 1.3 times, and the volume modulus is 8.9 times that of the original high water material. The research findings suggest that high water materials can be modified by double mixing.
Crystallization, thermal properties, rheological properties, mechanical properties, and morphology of thermoplastic polyurethanes/calcium sulfate whiskers composites
Authors: Zhang Daohai , Zhan Xiao , Liu Guilan , Tan Yanyan , Shi Lianjun , Chen Qianlin , Xie Tian 
Published: March 2024

Abstract
The research shows that thermoplastic polyurethane (TPU) which is easy to process has great application potential in practical application. In this study, a calcium sulfate whisker (CSW) with high strength and stability was used as a reinforcing filler to improve the processability of flexible TPU. In this paper, TPU/CSW composites were prepared by the melt blending method, and the effects of modified CSW on the thermal, crystalline, and melt properties, as well as the rheological and mechanical properties of TPU composites were investigated. The results showed that when the mass content of modified CSW was 10%, the maximum values of ΔH
c and ΔH
m were 222.81°C and 9.24 J/g, respectively, and the thermal properties of the composites were the most stable. When the content of modified CSW is 5%, the maximum impact strength, bending strength, and tensile strength are 50.5 KJ/m2, 38.8 MPa, and 927.7 MPa, respectively, and the mechanical properties of the composites are the best. The excellent stability and high strength of TPU/CSW composites show great promise for various applications in transportation and building materials.
Precision cutting mechanics and mechanical performance testing on the spindle of machine tool
Authors: Yang Hongping , Guo Zhongwen , Xia Yingjie 
Published: March 2024

Abstract
The manufacturing industry is the foundation of national development. With science and technology developing, precision turning technology has gradually become one of the cutting-edge technologies of advanced manufacturing technology. In the paper, the turning mechanics model is established based on the principle of metal cutting, and the corresponding cutting force is calculated. Considering the cutting force, material weight, flange weight, and other loads, the analysis model of the CK61125 machine tool spindle is constructed based on the finite element method, and the corresponding maximum strain and modal solution are calculated. The results are that when the 30, 000 N load is applied, the largest strain of the spindle is 0.0013 mm/mm, and the largest stress is 265 MPa. When the 100, 000 N load is applied, the strain of the spindle largest is 0.0015 mm/mm, and the stress is 290 MPa. The four orders of vibration modes of the spindle are obtained, which are 215.3 Hz, 256.2 Hz, 436.33 Hz, and 974.5 Hz. By comparison with the experiment, the spindle vibration frequencies are 87.8 Hz and 625 Hz, while the spindle rotating testing speeds are 100 rpm, 500 rpm, and 800 rpm.
Design and implementation of facility intelligent carbon dioxide incubator control system based on POA optimized fuzzy PID
Authors: Luo Qiangke , Zhao Zeneng , Chen Xingjiang , Zhang Huanbo , Liu Yong 
Published: March 2024

Abstract
To solve the problem that traditional carbon dioxide incubators are difficult to accurately control the required carbon dioxide environment to the detriment of experimental cultivation, and given the difficulties of time lag, nonlinearity, time-varying, and poor adaptive ability of the incubator control system, this study designs a set of intelligent carbon dioxide incubator control system suitable for laboratory cultivation. The system is based on the POA (Pelican optimization algorithm) to optimize the fuzzy PID (Proportional Integral Derivative) control to regulate the opening degree of the solenoid valve to accurately control the carbon dioxide concentration in the incubator to the set range. In this study, the simulation and comparison tests of POA-based optimized fuzzy PID control, PID control, and fuzzy PID control are carried out by MATLAB/Simulink, and it is found that the overshooting amount of the system is reduced by 11.6%, the regulating time is shortened by 69.3 s, and the steady state error is reduced by 0.1% compared with that of the traditional fuzzy PID control. It can be obtained through practical tests that the accuracy, response, and stability of the optimized fuzzy PID control of the pelican algorithm are better than those of the fuzzy PID control method, and it has better robustness. Therefore, the carbon dioxide incubator control system has high practical application value.
Study on the microstructure and mechanical properties of VW73B alloy at high extrusion ratio
Authors: Wei Xiaowei , Li Yongjun , Ma Minglong , Li Xinggang , Shi Guoliang , Yuan Jiawei , Sun Zhaoqian , Zhang Kui 
Published: March 2024

Abstract
The microstructure and mechanical characteristics of VW73B prepared by a high extrusion ratio (70:1) were studied. High-strength plastic VW73B alloy containing long-period structural phase (LPSO) was obtained by extrusion process. OM, SEM, TEM, and EBSD were used to investigate the relationship between microstructure and mechanical characteristics of VW73B. The findings indicate that VW73B presents complete dynamic recrystallization after deformation, and there are 14H-LPSO phases, SFs, and a large amount of β´ phase, which are precipitated after aging treatment. The UTS, YS, and EL of VW73B in peak aging state are 406 MPa, 339 MPa, and 9%, respectively. The β´ phase, LPSO phase, poor texture, and fine grain strengthening of VW73B contribute to its exceptional characteristics.
Experimental study on shock isolation of metal rubber-disc spring composite shock absorber under different shock excitation
Authors: Liu Guoqiang , Wang Xuebao , Guo Zhirong , Zhang Yiqun 
Published: March 2024

Abstract
Due to the instability and aiming accuracy of the onboard laser emission system cannot meet the requirements of its work tasks, it is necessary to carry out vibration isolation optimization design for the laser emission system. This paper designs a metal rubber-disc spring composite shock absorber and conducts relevant experimental research on the shock isolation performance of the metal rubber-disc spring composite shock absorber. The shock isolation performance tests of the shock absorber under different shock excitation conditions with pendulum heights of 300 mm, 600 mm, 900 mm, and 1200 mm were carried out respectively. Through the experiments, it was found that when the pendulum height is 300 mm, the shock isolation effect of the metal rubber-disc spring composite shock absorber is the best, and the shock isolation rate is above 95%.
Low-cost porous silicon material based on fenton process assisted chemical etching and its application as anode for lithium-ion battery
Authors: Li Junpeng , Wen Yihao , Wang Zi 
Published: March 2024

Abstract
Nanostructured silicon-based materials are considered as one of the most promising alternatives for anode electrodes of lithium-ion batteries. Nevertheless, the relatively high cost and complexity of most present processes make them difficult to scale up. In this manuscript, we would like to introduce a porous anode prepared by Fenton reaction-assisted chemical etching of low-cost ferrosilicon in the mixed solution of hydrogen fluoride and hydrogen peroxide. The experimental results show that hierarchical structures containing both mesopores and micropores can be formed by this convenient room-temperature etching process and its electrochemical performance as the anode is comparable to that of commercial product. Furthermore, the low cost of ferrosilicon ($1200~1500/ton) compared with the silicon powder of industrial grade (~$3000/ton) traditionally used in Li-ion battery anode preparation also renders this method potential and feasible for large-scale production of Si-based anode materials.
Investigation on the improvement of microwave dielectric properties of plasma-prepared fluoropolymer-coated CaTiO3-filled PTFE composites
Authors: Zheng Xiaolei , Wang Qun , Li Xiaoqiang , Shen Chenjie , Zheng Changkuan 
Published: March 2024

Abstract
High-performance polymer matrix composites preparation has been urgently hampered by poor interfacial adhesion between two phases. In this article, a thorough analysis of the microstructure and overall properties of composites made of polytetrafluoroethylene filled with fluorocarbon polymer film-coated CaTiO3 was conducted. The similar fluorocarbon molecular structure of CaTiO3 surface and PTFE provides a bridge between the two, significantly improving and promoting the microstructure and interface adhesion of the composite. The comprehensive properties of modified composites are obviously superior to those of untreated composites. Composites filled with 30 wt% CaTiO3 have an excellent dielectric constant at 5.53, acceptable dielectric loss at 0.0047, an outstanding heat resistance index of 281.1°C, and relatively low hygroscopicity of 0.10%. At the same time, the mechanical properties are maintained at a high application level, which makes them promising for microwave devices.
Risk assessment of fire and explosion accidents in oil-hydrogen fueling station based on fault tree analysis
Authors: Du Lianming , Liao Guangrong , Zhang Tong , Deng Qian , Li Aijun , Mao Ning 
Published: March 2024

Abstract
Owing to the coexistence of gasoline, diesel, and hydrogen, a specific and thorough risk assessment approach must be promptly implemented for oil-hydrogen fueling stations. Consequently, this study makes innovations in considering the safety issues of the joint construction of gas station and hydrogen refueling station, and undertaking the modeling and analysis of fire and explosion incidents at oil-hydrogen fueling stations based on fault tree analysis. The findings reveal that the risk level for fire and explosion at oil-hydrogen fueling stations is categorized as grade III. In our fault tree analysis model, there are 3240 minimum cut sets and 194 minimum path sets. The probability of fire and explosion incidents occurring at oil-hydrogen fueling stations is calculated to be 0.000265. This indicates that while the possibility of such accidents is low, their potential severity is exceedingly high. Ultimately, it is recommended that the safety of oil-hydrogen fueling stations be enhanced through the reinforcement of emergency management, customer safety education, and electrostatic discharge devices.