bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental Study on the Influence of Model Parameters on the Dimensional Deviation of Printed Parts
Authors: Zeng Lianghua , Wu Wenxiong , Zou Xinfeng 
Published: August 2023

Abstract
Not being affected by the structural complexity of the print model is one of the outstanding features of 3D printing, but model parameters have an important influence on the dimensional accuracy of the printed parts. In order to explore the influence of model parameters on dimensional deviation, on the basis of designing experimental models and carrying out printing experiments, we have studied the effect of three model parameters (placement method, two-dimensional contour components, and model inclination) on printing accuracy through the dimensional deviation rate. It has been found that the inclination angle of the model mainly affects the dimensional error in the height direction; different models can change the filling method of the cross-section contour from a curve to a straight line by changing the placement method, which can reduce the dimensional error of the two-dimensional contour of the model; the contour composed of linear elements has a lower deviation rate than the contour composed of curved elements.
The Residual Stress Control of Thin-walled Sleeve Parts with Weak Rigidity
Authors: Tian Yao , Sun Pengcheng , Ge Yingchun , Wang Zhibin , Zhang Zheng , Mai Yuying , Su Jun , Zhao Jin , Wang Zhangli 
Published: August 2023

Abstract
Photoelectric products in the military industry tend to be lightweight in design, requiring the part to be lightweight and have high specific strength. As one of the structural parts of photoelectric products, the thin-walled sleeve part has the peculiarity of lightweight and thin wall thickness. Nevertheless, the residual stress during machining processing poses an adverse effect on the accuracy of the parts. In this paper, the influence of residual stress on the accuracy of the parts during the processing was studied. Before fine machining, the residual stress was reduced by artificial aging techniques and ultrasonic beam control methods. Finally, the effect of the two stress relief methods was evaluated according to the qualified rate of the processing accuracy of the parts. The research results show that the axial residual stress of the part is larger than the circumferential residual stress. Both artificial aging techniques and ultrasonic beam control can eliminate residual stress, and the ultrasonic beam control method is more targeted and uniform.
Development of completion tool pressure test control system
Authors: Sun Zhiyu , Zhao Lianyu , Wang Chenglin , Zhao Xiaolei 
Published: August 2023

Abstract
In oil exploitation, the completion tool is the key point to ensure the effective development of oil wells, and it must undergo strict pressure testing. Due to the high test pressure, there are potential safety hazards in the manual operation process. To improve safety and test efficiency, the automatic precision test system is developed. The detection system must realize the pressure detection process, provide feedback on the key data, give the corresponding curve reference, and generate the detection report. Through the PID algorithm, the precise control of the motor is realized. The system safety is guaranteed, and the detection accuracy is improved. The test results show that the completion tool pressure test control system can greatly improve detection efficiency. It can also fully reflect the entire detection process, accurately calculate some key parameters such as pressure drop, and obtain accurate results. The detection error is kept within 0.5%, ensuring the reliability of the detection process.
Analysis of the Creep Failure of P92/HR3C Dissimilar Steel Welded Joint
Authors: Li Min , Liu Zhihao , Lu Ziming , Pan Weiguo , Xue Haibo , Shang Yongzhi 
Published: August 2023

Abstract
Harsh service environments, such as high temperature and pressure, cause many unforeseen premature failures, especially for welded joint structures, whose heat-affected zones have been in service. Cases of pressure vessel damage caused by premature cracking in the process often occur. In this paper, the finite element model of dissimilar welded joints of P92/HR3C steel was established to simulate the actual service process, and the variation law of maximum principal stress, equivalent stress, and stress triaxiality on the inner and outer surfaces of the joint and both sides of the welding were analyzed. The results show that in the long-term use of welded joints, the stress concentration occurs in the weld fusion zone; with the increase in service time, the creep strength of the HR3C weld interface is much higher than the P92 weld interface, the structural shape changes and the stress concentration is transferred from the HR3C-weld to the P92-weld.
Moisture absorption analysis of offshore wind turbine blade adhesive bonding under multi-environmental stresses
Authors: Shao Zhenjiang , Li Yongjie , Liang Jinlong , Liu Zheng 
Published: August 2023

Abstract
Due to long-term serving in harsh environmental conditions with high temperature, high humidity, salt fog, etc., the structural performance degradation of adhesive bonding in wind turbine blades will easily occur. Considering that material moisture absorption is closely related to structural performance, a study on moisture absorption of bonded structures under multi-environmental stresses is performed in this paper. In particular, 3 environmental stresses, the temperature, aging time, and saline concentration, are considered. A series of environmental aging tests are conducted using the variable control method. The moisture absorption properties are analyzed. The performance degradation laws of the bonded structure under the effects of multi-environmental stresses are obtained. The results are meaningful for structural performance investigation of offshore wind turbine blade adhesive bonding.
The effect of the accumulator on oil pressure shock suppression based on mill screw-down system
Authors: Luo Zhenkun , Wang Dandan , Peng Engao , Zhang Yongyang 
Published: August 2023

Abstract
This paper takes the servo valve front accumulator as the research object. It analyzes its effect in suppressing pressure shock and improving system pressure stability. Finally, it achieves the purpose of improving the control accuracy of the hydraulic screw-down system of the rolling mill. According to the actual operating requirements, the mathematical model of the servo valve front accumulator is established. The pressure shock suppression effect of the accumulator is simulated and analyzed with different parameters in the process of servo valve adjustment and reversal. Finally, it is verified by experiment. The optimal selection method of the parameters of the accumulator is obtained to provide theoretical and empirical support for the study of methods to enhance the system pressure stability and improve the control accuracy.
Design of Intelligent Robots Based on Body Sense Control
Authors: Li Zeyu , Wei Huibin , Zheng Zebin , Zhou Guiyu , Chen Yiqun , Yin Xinyan 
Published: August 2023

Abstract
Recognizing human actions to control the robot has become a challenging task. This paper provides a manipulator control system based on a mobile platform. The bending Angle of the specific connecting rod mechanism is collected to obtain the bending degree of the finger. The nine-axis gyroscope is used to detect the attitudes of the hand and the arm, and the data is transmitted to the HT32F5352 control board. Experimental results show that intelligent robots based on motion sensing can be equipped with automatic and manual control, environmental detection, and other functions.
Characterisation of the temperature-dependent dark rate of Hamamatsu R7081-100 10” photomultiplier tubes
Authors: Wilson S.T. , Fargher S. , Foster R. , Malek M. , Needham M. , Scarff A. , Smith G.D. 
Published: August 2023

Abstract
Dark noise is a dominant background in photomultiplier tubes (PMTs), which are commonly used in liquid-filled particle detectors for single-photon detection to see the results of particle interactions. A major contribution to dark noise is thermionic emission from the photocathode.

The dark noise of Hamamatsu R7081-100 PMTs is characterised in a temperature and purity controlled water tank, with the thermionic emission contribution isolated. The results suggest that the intrinsic dark rate of PMTs does not depend on the medium, but does follow Richardson's law of thermionic emission. There are external contributions to the overall observed PMT count rate identified, but the intrinsic PMT dark rate in water matches that measured in air.
Machine Learning-based reconstruction of single and double radiation source distribution using plastic scintillation optical fiber
Authors: Dai Dongrui , Geng Changran , Tang Xiaobin 
Published: August 2023

Abstract
In this study, we propose a novel method for reconstructing
the radiation distribution of a one-dimensional radioactive source
using Machine Learning (ML) algorithms and plastic scintillation
optical fiber. The wavelength spectrum unfolding technique is used
to estimate the source position accurately. We compare the accuracy
and time efficiency of three different algorithms, namely,
Generalized reduced gradient (GRG), Maximum likelihood expectation
maximization (MLEM), and ML, in the single-source and dual-source
cases. Our results demonstrate that MLEM algorithm has a shorter
reconstruction time with comparable accuracy of position and
intensity compared to GRG algorithm for single-source case. For
dual-source case, ML algorithm provides real-time estimation of
position and intensity with acceptable errors, while GRG algorithm
has a larger error in intensity estimation and longer computation
time. Our proposed ML algorithms offer useful guidance for practical
applications in radiation source location.
Climate change impacts and adaptation to permafrost change in High Mountain Asia: a comprehensive review
Authors: Baral Prashant , Allen Simon , Steiner Jakob F , Gurung Tika R , McDowell Graham 
Published: August 2023

Abstract
Changing climatic conditions in High Mountain Asia (HMA), especially regional warming and changing precipitation patterns, have led to notable effects on mountain permafrost. Comprehensive knowledge of mountain permafrost in HMA is mostly limited to the mountains of the Qinghai-Tibetan Plateau, with a strong cluster of research activity related to critical infrastructure providing a basis for related climate adaptation measures. Insights related to the extent and changing characteristics of permafrost in the Hindu Kush Himalaya (HKH), are much more limited. This study provides the first comprehensive review of peer-reviewed journal articles, focused on hydrological, ecological, and geomorphic impacts associated with thawing permafrost in HMA, as well as those examining adaptations to changes in mountain permafrost. Studies reveal a clear warming trend across the region, likely resulting in increased landslide activity, effects on streamflow, soil saturation and subsequent vegetation change. Adaptation strategies have been documented only around infrastructure megaprojects as well as animal herding in China. While available research provides important insight that can inform planning in the region, we also identify a need for further research in the areas of hazards related to changing permafrost as well as its effect on ecosystems and subsequently livelihoods. We suggest that future planning of infrastructure in HMA can rely on extrapolation of already existing knowledge within the region to reduce risks associated with warming permafrost. We highlight key research gaps as well as specific areas where insights are limited. These are areas where additional support from governments and funders is urgently needed to enhance regional collaboration to sufficiently understand and effectively respond to permafrost change in the HKH region.
The air pollution tradeoff in India: saving more lives versus reducing the inequality of exposure
Authors: Sankar Ashwini , Goodkind Andrew L , Coggins Jay S 
Published: August 2023

Abstract
Chronic exposure to ambient fine particulate matter (PM2.5) represents one of the largest global public health risks, leading to millions of premature deaths annually. For a country facing high and spatially variable exposures, prioritizing where to reduce PM2.5 concentrations leads to an inherent tradeoff between saving the most lives and reducing inequality of exposure. This tradeoff results from the shape of the concentration–response (C-R) function between exposure to PM2.5 and mortality, which indicates that the additional lives saved per unit reduction in PM2.5 declines as concentrations increase, suggesting that more lives can be saved by reducing exposures in clean locations than in dirty locations. We estimated this C-R function for urban areas of India, finding that a 10 µgm−3 reduction in PM2.5 in already-clean locations will reduce the mortality rate substantially (4.2% for a reduction from 30 to 20 µgm−3), while a 10 µgm−3 reduction in the dirtiest locations will reduce mortality only modestly (1.2% for a reduction from 90 to 80 µgm−3). Policymakers face a troubling tradeoff between maximizing lives saved and reducing the inequality of exposure. Many air pollution policies impose an upper limit on exposure, thereby cleaning the dirtiest locations and reducing exposure inequality. We explore the implications of this PM2.5/mortality relationship by considering a thought experiment. If India had a fixed amount of resources to devote to PM2.5 concentration reductions across urban areas, what is the lives saved/inequality of exposure tradeoff from three different methods of deploying those resources? Across our three scenarios: (1) which reduces exposures for the dirtiest districts, (2) which reduces exposures everywhere equally, and (3) which reduces exposures to save the most lives—scenario 1 saves 18 000 lives per year while reducing the inequality of exposure by 65%, while scenario 3 saves 126 000 lives per year, but increases inequality by 19%.
Improvement of human-induced wildfire occurrence modeling from a spatial variation of anthropogenic ignition factor in the CLM5
Authors: Cai Lei , Shi Wenwen , Shi Weiyu , Li Fang , Alexeev Vladimir A , Shiklomanov Alexander , Yang Ruowen , Tan Shucheng 
Published: August 2023

Abstract
Wildfire is an essential form of natural disturbance for the Earth system, and it is challenging for the current numerical models to accurately retrieve the spatiotemporal distributions of wildfire occurrence. One of the deficiencies could result from the parameterization of anthropogenic impact on wildfire occurrences. This study develops an approach to advance human-induced wildfire modeling by calibrating the parameter of human ignition count (HIC) in the fire module of the Community Land Model version 5. This study modifies the source code to allow a grid-scale variation of HIC. Sensitivity experiments with different grid-uniform HIC values are conducted to quantify the model biases with satellite-based observation data as the reference. The theoretically optimal HIC for each grid is obtained by linear rescaling the HIC based on the model biases in the sensitivity tests. The model evaluation takes place in southwest China where there is complex terrain and land use/land cover features. The involvement of grid-scale HIC significantly reduces the model bias in the climatology of wildfire occurrence. The pattern correlation coefficient increases from 0.57 to 0.78, and the root mean square error (RMSE) decreases from 0.58 to 0.18. The correlation coefficient of the annual sums of wildfire occurrences increases from 0.69 to 0.77, and the RMSE decreases from 560.8 to 146.4. A global-scale test verifies that such an approach can be extended to multiple regions with a reasonable scale of population density and economy.
Quantum evolution with random phase scattering
Authors: Ziegler K 
Published: August 2023

Abstract
We consider the quantum evolution of a fermion–hole pair in a d-dimensional gas of non-interacting fermions in the presence of random phase scattering. This system is mapped onto an effective Ising model, which enables us to show rigorously that the probability of recombining the fermion and the hole decays exponentially with the distance of their initial spatial separation. In contrast, without random phase scattering the recombination probability decays like a power law, which is reflected by an infinite mean square displacement. The effective Ising model is studied within a saddle point approximation and yields a finite mean square displacement that depends on the evolution time and on the spectral properties of the deterministic part of the evolution operator.
Impact of Electric Vehicles toward Energy Reliability of the Jawa-Madura-Bali Electrical Power System
Authors: Tampubolon Joshua Veli , Dalimi Rinaldy 
Published: August 2023

Abstract
There is an observed limitation in the number of electric vehicles using batteries as power sources (e.g., plug-in electric vehicles) in Indonesia. While the number of said electric vehicles is increasing in response to the government’s commitment to shift the transportation energy source towards electric energy for a more sustainable environment, this change is followed by an inevitable impact on the current electric network and infrastructure. Indonesia’s government predicted that there will be around 20 million 2-wheelers and 4 million 4-wheelers ICE by the year 2030 with an additional load of 29.300 MW to be expected. Lessons learned from other countries have shown that the abrupt changes in the supply-demand energy for the electric vehicle, such as the deficit/surplus of energy or the duck curve phenomena, create an urgency to prevent the said phenomena and the potential financial loss that might have cross-sectoral impacts. Through an analysis of the Jawa-Madura-Bali system, an independent system that can produce 30.970 MW by the year 2020 [1], the paper focuses on the impact of this system in developing an adaptive infrastructure to address increased power needs for electric vehicles in Indonesia. Literature review and data analysis shows that the impact of Electric Vehicles on the Energy Reliability of the Jawa-Madura-Bali Electrical Power System is very pronounced. The amount of energy needed for the grid to be reliable in the EV transition is significantly higher than the natural growth of the grid energy supply. It is feasible that the increasing electricity demand from EVs could be offset by adding more renewable energy sources to the grid. Renewable energy sources, such as solar and wind, (both centralized and decentralized) can help to offset the insufficient total energy supply growth from the conventional power producer. One approach to address these challenges is to continue the development of mixed renewable and non-renewable energy sources, allowing the grid to draw on a variety of sources as needed to meet demand. This development can help to ensure a reliable and stable supply of electricity to meet the needs of electric vehicles and other customers. A supply-demand simulation and prediction, which could be a very helpful tool in the conceptualization of a management plan for the energy system to mitigate the imbalance of supply and demand of electric energy supply should be developed.
Optimization and simulation of a grid-connected PV system using load forecasting methods: A case study of a university building
Authors: Manlapaz Juan Glicerio C. , Reyes Dalisay M. , Buensuceso Cris Paulo L. , Peña Robert Alfie S. , Parocha Raymark C. , Macabebe Erees Queen B. 
Published: August 2023

Abstract
Distributed generation represents a paradigm shift from the traditional electric grid to localized generation of electric power along with the capability of incorporating renewable energy (RE) sources into the energy mix. Responding to the need for sufficient analysis, simulation, and study of feasibility of distributed generation, this study aims to design a hybrid energy system for a university building and analyze its economic benefits. The viability of existing load forecasting methodologies for energy systems is also presented in this paper. The energy system design was determined through predictive modeling of the load profile of the building using historical data and optimization using machine learning methods, namely auto-regressive integrated moving average (ARIMA) and long short-term memory (LSTM). Simulations were run in HOMER Pro. Results show that a grid-connected solar photovoltaic (PV) system installed on the roof coupled with an energy storage system (ESS) will provide the most economic benefits because it yields a reduced cost of energy (COE) per kilowatt-hour (kWh) for the building. This study shows that in line with efforts to transition towards clean energy, hybrid energy systems using RE not only have economic benefits, but can also ensure energy security and environmental sustainability.
Projection of Carbon Emissions from the Diesel, Biodiesel, and Battery Electric Vehicle in Indonesia: A Policy Scenario Analysis for Decarbonization of Transportation Sector
Authors: Rahmaditio M R , Gardian P I 
Published: August 2023

Abstract
The Indonesian government is intensifying the mandatory biodiesel program to achieve the carbon emission reduction target. Although the emissions from the use of biodiesel are lower than diesel, its rapid development has raised concerns about other environmental issues, such as deforestation, hydrological disturbances, and biodiversity. At the same time, the global trend of electric cars offers a new alternative to the decarbonization of the transportation sector. Therefore, this study aims to compare the carbon emission reduction of biodiesel and electric vehicle policy scenarios. The baseline scenario is defined as full usage of diesel. The projection is conducted until 2060 using a model built with Vensim software. As a result, the biodiesel program with a 30% blending rate (B30) only reduced carbon emissions by 6.14 and 11.26 million tons in 2030 and 2060, respectively. Higher emissions reduction can be achieved by increasing the blending rate to 50% and 100%. On the other hand, emission reduction from electric vehicles program is very dependent on the energy mix of electricity generation. Under the 2021–2030 National Electricity Supply Business Plan (RUPTL) target, the electric vehicle scenario would produce higher emissions than the baseline scenario. However, there is a potential emission reduction of up to three times larger than B100 by the electric vehicle (EV) scenario if the EV transition is accompanied by an ambitious energy transition.