bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spreading modeling of prepreg tape used for manufacturing of variable angle tow composites
Authors: He Siyu , Feng Zhao , Zhang Qiang 
Published: September 2024

Abstract
Variable angle tow (VAT) laminates are gaining popularity for enhancing composite structure performance. Automated fiber placement (AFP) is an effective method for tailoring VAT laminates to boost manufacturing efficiency. However, traditional AFP equipment faces limitations, such as the inability to eliminate defects like gaps and overlaps due to a minimum steering radius. This study addresses these defects by examining the spreading behavior of prepreg tapes. A simplified Navier-Stokes equation-based model is developed to analyze the impact of pressure and temperature on tape spreading width. Experimental validation, conducted under conditions that simulate automated layup operations, demonstrated that the tapes can be significantly broadened by up to 30% with increased temperature and pressure. The experimental data is curve-fitted using the least square method, and the model shows a good fit with the results.
Comparison of high temperature oxidation behaviour of high speed steel and Hi-Cr steel
Authors: Li Wanli , Ou Yujing 
Published: September 2024

Abstract
High speed steel and Hi-Cr steel are widely used as one of the important materials for rolls. The oxide layer during rolling plays a key role in the service life of the rolls and the quality of the rolled material. Therefore, it is very important to study the oxidation behaviour of high speed steel and Hi-Cr steel. In this paper, the oxidation behaviour of HSS and Hi-Cr steel is compared in the range of 500-700°C. The oxidation kinetic curve of HSS is dominated by a parabolic law, while the oxidation kinetic curve of Hi-Cr steel is dominated by a logarithmic law. To analyse the effect of their oxidation products on the oxidation behaviour, V2O5 in high speed steel plays a destructive role in the oxide layer, while Cr2O3 in Hi-Cr steel can effectively reduce the thickness of the oxide layer.
Evaluation of the mechanical properties of stiffened composite panels under consideration of water load
Authors: Yang Junchao , Chen Xiangming , Wang Zhe , Zou Peng , Zhu Qiang 
Published: September 2024

Abstract
To meet the strength evaluation requirements of a typical stiffened composite panel of the lower fuselage of a new generation amphibious aircraft underwater load, the experimental testing technique and finite element analysis method were investigated. Firstly, according to the loading and support requirements of the typical stiffened composite lower fuselage panel, a testing device for combined axial and pneumatic loading was designed and developed. Then, a finite element model of the stiffened composite plate and the combined load testing device were created. Based on the experiments and finite element analysis, the static strength of the stiffened composite plate was verified to meet the load-bearing capacity requirements, and the strain behavior during loading was determined. Compared with the experimental results, the maximum strain error at the skin is 6.16%, and the maximum strain error at the stiffener is -11.6%. This confirms the effectiveness of the finite element model and also confirms that the test technique and equipment can accurately simulate in-plane axial loading and out-of-plane water loading. Finally, based on the validated finite element model, the load-bearing capacity of the stiffened composite panel under combined loads was predicted.
Study on quasi-static tensile mechanical properties of biomimetic helicoidal composite laminates
Authors: Huang Shutong , Jia Xiaoli , Liu Hengxiang , He Jianfeng , Yang Qingyu , Ke Liaoliang , Yang Jie , Kitipornchai Sritawat 
Published: September 2024

Abstract
Numerous biomaterials exhibit intricate helicoidal structures renowned for their exceptional toughness. This study drew inspiration from the collagen fiber structure found in the scales of coelacanths to design composite laminates featuring double helicoidal layup configurations with varying pitch angles. A damage evolution model with damage initiation and linear stiffness degradation based on the Hashin failure criterion was used to describe the damage behavior of the materials. The impact of varying pitch angles on the quasi-static tensile properties of double helicoidal composite laminates is investigated. The results show that the magnitude of the pitch angle has a significant effect on the tensile properties of the laminates, and the tensile modulus of double composite laminates is highest when the pitch angle is 90°.
Nonlinear damage dynamics modeling and characteristics simulation of bevel gear set
Authors: Hu Jiao , Tang Lun , Liu Xingshu , Shen Jian 
Published: September 2024

Abstract
As a key core device for power transmission in the main reducer of a helicopter, the bevel gear set affects the flight performance of the helicopter directly. A nonlinear damage dynamic model of bevel gear set was constructed using the centralized parameter method. The inherent characteristics and nonlinear behavior characteristics of bevel gear sets were studied, and the time-frequency domain characteristics under different health states were simulated. The fault response transmission law and fault mechanism of the system were deeply revealed, which provides guidance and support for the optimization design of helicopter transmission system and the diagnosis algorithms development.
Analysis of the temperature rise process of carbon ceramic axle-mounted brake disc
Authors: Qiao Qingfeng , Xia Mingchen 
Published: September 2024

Abstract
At present, high-speed train braking modules gradually adopt carbon ceramic brake discs. Based on the calculation results, the temperature simulation calculation of carbon ceramic brake disc for high-speed trains is of important engineering reference value for design and application. This paper established a finite element thermal simulation model based on the material properties of carbon-ceramic composite materials and the size and structural characteristics of the brake disc, and conducted a simulation analysis of the 400km/h emergency braking condition. After calculation, the carbon ceramic disc surface temperature reaches about 1250°C during the braking process, which does not exceed the material limit of 1350°C, and can adapt to the braking requirements of high-speed trains. The evolution rules of the temperature field and temperature value changes of the carbon ceramic shaft-mounted brake disc were further studied, and the general rules of disc temperature changes during emergency braking at 400km/h were summarized. The relevant content can provide a reference for the thermal analysis research of carbon ceramic axle-mounted brake disc.
Analysis of conductive filament heat transfer in TiO2-based RRAM device
Authors: Li Jing , Pan Jinyan , Huang Qiao , He Ruotong , Xie Lunbo 
Published: September 2024

Abstract
Resistive random access memory (RRAM) has developed into a new type of non-volatile memory that has attracted much attention for its high density and low power; TiO2 has been studied to make RRAM because of its high conductivity. Based on the COMSOL Multiphysics finite element method and domain decomposition method, an electrically-thermally coupled model of TiO2-based RRAM with oxygen vacancy (Vo) conduction mechanism is constructed, the formation and cutting process of RESET and SET conductive filament (CF) under different voltages is simulated. Moreover, the characteristics of the internal temperature distribution of the CF are explored. The results show that the RESET process is more sensitive to heat changes, the transverse direction thermal value of the CF is more obvious than the longitudinal direction, and the rate of change is faster. Additionally, the electric field induces the migration of the Vo in filament, which affects the enthalpy change of the device’s heat transfer and resistive properties. This is an important reference for a deeper understanding of the switching behavior of RRAM devices and the control mechanisms for thermal studies.
Design and performance research on metal-sprayed electrical heating films for aircraft wing anti-icing
Authors: Ding Yuanyuan , Li Zhimao , Ren Zhefan , Zhu Guangya , Bai Bin 
Published: September 2024

Abstract
Composite material, supercritical aircraft wings, and multi-electrical technology represent the future development trend of civil aircraft. However, domestically, the use of electrical heating for anti-icing on civil aircraft made of composite materials has not yet been implemented. In this study, focusing on the anti-icing technology of a specific aircraft wing leading edge, the article initially designs a metal thermal spraying circuit based on the thermal load distribution on the surface of the anti-icing area. Next, the research explores the resistive properties of the electrical heating film on the composite material wing leading edge, examining how the porosity and oxide content of the coating affect its resistivity. Finally, the metal thermal spray test is completed on the leading edge of the composite material aircraft wing. The test results indicate that the adherence and deposition rate of the coating on the leading edge of the aircraft wing are reliable. The resistivity of the heating film meets the performance specifications. The article develops an integrated metal thermal spray control method based on high-curvature composite materials, resulting in an electrical heating film with excellent shape adaptability, varying power density, and strong bonding, providing support for the domestic advancement of wing electrical heating anti-icing technology.
Innovative integration of maturity detection and robotic technology for enhanced litchi harvesting
Authors: Xiong Juntao , Huang Qiyin , Jiang Xinjing , Zhou Chengzhuo 
Published: September 2024

Abstract
An integrated approach marries an optimized YOLOv7 deep learning model with a 6-axis robotic arm, featuring a novel end-effector design, to elevate automated litchi harvesting. The model, refined with ACmix attention and Focal-EIoU loss functions, adeptly identifies litchi maturity across diverse orchard settings, overcoming challenges like variable lighting and occlusions. Rigorous field validations and real-world applications demonstrate the system’s efficacy, with an 85.7% success rate in precisely harvesting mature litchis. This fusion of cutting-edge image recognition with strategic mechanical innovation effectively mitigates labor shortages and enhances productivity, marking a significant leap forward in orchard automation.
Research on positioning accuracy of the swivel head of milling and turning complex machining center
Authors: Si Weizheng , Tang Jianhao , Liu Jianhua , Wei Zijun , Mao Luyao 
Published: September 2024

Abstract
This article focuses on the swivel head of a milling-turning complex machining center and establishes a geometric error model between the rotary axes based on the multi-body system theory and the homogeneous coordinate transformation method. The double ball bar (DBB) is used to identify the geometric errors of the machine tool swivel head position-independent by measuring circular trajectories. The impact of PIGEs on the measurement trajectory is simulated. The swivel head is rotated at four angles (B0°, B45°, B90°, B-15°), and the laser tracker is used to analyze and study the linear axis straightness, perpendicularity, and the center coordinates and plane errors of the swivel head movement along the XZ plane. A swivel head rotation accuracy test fixture is designed to correct the positioning accuracy of a swivel head with a 45° inclination of the rotation axis. The research results show that the fluctuation of the center plane degree of freedom of the swivel head moving along the XZ plane is small, and the maximum value is 0.0086mm. Under the 45° angle posture of the swivel head, both the center coordinate error value and the plane error value are the largest. The simulation results of the swivel head position error are fairly consistent with the center coordinate error of the swivel head plane movement. A backward tilt displacement of 0.01mm~0.015mm of the machine column during assembly can reduce the influence of the weight of the swivel head on the perpendicularity and straightness of the vertical reciprocating motion, and adding auxiliary support near the base of the swivel head zero position can reduce machine straightness error.
Research on airspace filtering algorithm for trackside train bearings based on GSC-MVDR
Authors: Yuan Ziyu , Liu Fang , Bao Xuewen , Ren Guangwen , Zeng Guoqiang , Liu Yongbin 
Published: September 2024

Abstract
Trackside Acoustic Detection Systems (TADS) employ microphone arrays installed on both sides of the railway tracks to collect sound signals emitted by wheelset bearings as trains pass by. These systems facilitate state monitoring and fault diagnosis through signal processing, offering capabilities such as non-contact measurement, low cost, and early warning of potential failures. However, the strong noise characteristics of trackside signals significantly impair diagnostic precision. To address this issue, this paper proposes a spatial filtering algorithm based on the Minimum Variance Distortion-less Response (MVDR) and the Generalized Sidelobe Canceller (GSC), achieving directional denoising. Additionally, the algorithm employs time-domain resampling techniques to correct the Doppler effect in signals.
Preparation of MnS/NiCo2S4 composite nanosheets self-supported electrode and the performance in water-system asymmetric supercapacitors
Authors: Wang Xiao , Ren Siheng , Kong Deqiang , Liu Chang , Wu Yuanhao 
Published: September 2024

Abstract
In this paper, the MnS@NiCo2S4 composite self-supporting electrode was designed and prepared with a mixture of nickel, cobalt, and manganese sulfide as the research object. The capacitance of the electrode can reach 2, 372.7 F g−1 at the current density of 1 A g−1, and the voltage window can also be widened to 0-0.6 V and maintains a multiplier performance of 62.1% at 10 A g−1. Following 5, 000 cycles of charging and discharging, the electrode exhibits a capacity retention of 78.2% relative to its initial capacity, with the coulombic efficiency consistently hovering around 100%. This performance indicates that the electrode can carry out stable and reversible electrochemical processes. A supercapacitor assembled with 1 M KOH as the electrolyte, activated carbon as the anode, and MnS/NiCo2S4 as the cathode, delivers an energy density of 46.9 W h kg−1. In the life test of the charge and discharge cycle, the discharge capacity after 10, 000 cycles is 89.2% of the initial capacity, indicating that the device has good cycle stability. This study provides an idea for the potential application of metal sulfide-based electrodes with wide potential windows and high electrochemical properties in water asymmetric supercapacitors.
Highly sensitive and chemically resistant moisture sensor based on polyether sulfone and polyimide composite membrane for power transformer oil
Authors: Zhu Bin , Deng Keqi , Li Xiaojuan , Wen Liguo , Shen Hongwei , Wu Dezhi 
Published: September 2024

Abstract
Moisture is the primary factor leading to the deterioration of transformer oil. Real-time detection of transformer oil moisture content holds significant importance to help power companies monitor the transformer’s operational status, track the change curve of the oil moisture content, identify water ingress causes, and implement preventive measures. However, transformer oil has the characteristics of low moisture content and complex chemical composition, which pose a substantial challenge for sensor monitoring, and require the prepared sensor to be chemically resistant and highly sensitive to moisture. To address these challenges, in this paper, a parallel plate oil moisture sensor with high sensitivity and high chemical resistance based on PES and PI was developed using the MEMS process. The sensor incorporates PES as the chemical resistance layer and PI as the moisture sensitivity layer. The parallel plate design not only optimizes sensitivity by effectively utilizing electric field lines but also allows the passage of water while isolating oil molecules, further enhancing the chemical resistance of the sensor. Experimental results in air demonstrate that the prototype sensor exhibits high sensitivity (~1.26 pF/% RH) across the full humidity range of 0-100% RH. Moreover, the sensor can withstand exposure to a wide range of chemical corrosive gases, including acetone, ammonia, etc. Tests in transformer oil reveal that the sensor has a resolution better than 200 ppm and can effectively measure moisture in the range of 0-1400 ppm, demonstrating very high sensitivity (4 pF/100 ppm) and rapid response (10/23 s).
Planar and non-planar hybrid printing trajectory generation method
Authors: Xu Li , Shi Zhiliang 
Published: September 2024

Abstract
Aiming at the problem of step effect, a planar and non-planar hybrid printing trajectory generation method is studied. The region with the inclination of the surface and horizontal plane of the model is extracted for non-planar printing, which can improve the surface printing quality of the model while controlling the printing time. The experimental results show that the proposed algorithm has good adaptability and can meet the requirements of engineering applications.
Bio-Briquettes Production from Spent Coffee Grounds, Composite Organic Waste, and Coconut Shells by Using Carbonization
Authors: Septian Erdiyanto Angga , Hasbi Asshidiqi M , Syachrir Guntur 
Published: September 2024

Abstract
Global energy demand is projected to rise in coming years due to a corresponding increase in the world’s population. This increased demand highlights the importance of exploring alternative energy sources, particularly renewable energy. Among the various forms of renewable energy, biomass stands out as a consistently abundant and accessible source of renewable energy on a global scale. In Indonesia, there exists a significant abundance of organic waste, spent coffee grounds, and coconut shells. Each of these wastes has a high heating value, so it has potential to become the raw material of bio-briquette, an alternative source of renewable energy. By the method of carbonization, the study was intended to identify the characteristics of the bio-briquette composite using organic waste, coconut shells, and spent coffee grounds as raw material on proximate analysis parameters and heating value. Based on the results of the research, the best bio-briquette characteristics were obtained from sample APEK25 with the characteristic of 7.84% water content, 36.24% volatile matter, 9.38% ash content, 46.54% fixed carbon, and a heating value is 4637 cal/gr. These findings highlight the potential of bio-briquettes as a renewable energy, contributing to waste management for sustainable energy transition and addressing the increasing energy demand.
Carbon Border Adjustment Mechanism (CBAM) Implementation on Reducing Emission in the ASEAN Energy Sector
Authors: Shidiq Muhammad , Htet Hein , Abdullah Ambiyah , Noor Rakhiemah Aldilla , Pradnyaswari Indira , Dewa Raditya Margenta I , Suryadi Beni 
Published: September 2024

Abstract
In the context of global efforts to combat climate change and transition towards a low-carbon economy, the European Union (EU) has introduced the Carbon Border Adjustment Mechanism (CBAM) as part of its ambitious Green Deal. This mechanism aims to address carbon leakage from high-emitting industries and ensure fair conditions for European industries. The ASEAN region, as highlighted in the 7th ASEAN Energy Outlook (AEO7) study, is projected to experience a substantial increase in greenhouse gas (GHG) emissions, reaching 6,704 Mt CO2-eq by 2050 compared to a baseline scenario of 1,815 Mt CO2-eq in 2020. Consequently, ASEAN has recognized the urgency to earnestly reduce its emissions in response to the global push for carbon neutrality. The implementation of CBAM by the EU has prompted many countries, including ASEAN Member States (AMS) exporting goods to the EU and beyond, to consider the adoption of CBAM policies. This study examines the potential implications of CBAM for the emission reduction in high-emitting industries in ASEAN (such as cement, iron and steel, aluminum, fertilizers, and electricity generation). The findings indicate that the implementation of CBAM may result in higher product prices for these industries, as they will be required to account for the climate footprint of their manufacturing activities through additional fees. However, it also presents an opportunity for emission reductions within these industries by incentivizing the adoption of renewable energy sources to mitigate their carbon footprint during manufacturing processes. To effectively respond to the implementation of CBAM, the region should adopt three key strategies: 1) active participation in and implementation of carbon pricing mechanisms, 2) increased investments in low carbon technologies, and 3) establishment of strategic partnerships to enhance trade relations between the EU and ASEAN.
Enhancing EEG data quality and precision for cloud-based clinical applications: an evaluation of the SLOG framework
Authors: Ghani Amna , Heinrich Hartmut , Brown Trevor , Schellhorn Klaus 
Published: September 2024

Abstract
Automation is revamping our preprocessing pipelines, and accelerating the delivery of personalized digital medicine. It improves efficiency, reduces costs, and allows clinicians to treat patients without significant delays. However, the influx of multimodal data highlights the need to protect sensitive information, such as clinical data, and safeguard data fidelity. One of the neuroimaging modalities that produces large amounts of time-series data is Electroencephalography (EEG). It captures the neural dynamics in a task or resting brain state with high temporal resolution. EEG electrodes placed on the scalp acquire electrical activity from the brain. These electrical potentials attenuate as they cross multiple layers of brain tissue and fluid yielding relatively weaker signals than noise—low signal-to-noise ratio. EEG signals are further distorted by internal physiological artifacts, such as eye movements (EOG) or heartbeat (ECG), and external noise, such as line noise (50 Hz). EOG artifacts, due to their proximity to the frontal brain regions, are particularly challenging to eliminate. Therefore, a widely used EOG rejection method, independent component analysis (ICA), demands manual inspection of the marked EOG components before they are rejected from the EEG data. We underscore the inaccuracy of automatized ICA rejection and provide an auxiliary algorithm—Second Layer Inspection for EOG (SLOG) in the clinical environment. SLOG based on spatial and temporal patterns of eye movements, re-examines the already marked EOG artifacts and confirms no EEG-related activity is mistakenly eliminated in this artifact rejection step. SLOG achieved a 99% precision rate on the simulated dataset while 85% precision on the real EEG dataset. One of the primary considerations for cloud-based applications is operational costs, including computing power. Algorithms like SLOG allow us to maintain data fidelity and precision without overloading the cloud platforms and maxing out our budgets.