bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bijective plannar parameterization based on a hyperelasticity analogy
Authors: Gao Jiajia , Gao Yunyun , Ma Tao , Hou Ningtao , Wei Zhen , Guo Wei , Huo Rikun , Huo Zhijie 
Published: September 2022

Abstract
Isogeometric analysis (IGA) is a promising alternative for finite element analysis (FEA) with simplified design-through-analysis workflow. However, existing models in CAD software cannot be used directly for analysis. Parameterization of the input geometry is necessary to transform it into an analysis-suitable model. But it is non-trivial to produce smooth non-folding results. In this paper, we present a novel parameterization scheme based on the hyperelasticity analogy in solid mechanics. Compared with other state-of-the-art techniques, numerical examples prove that the proposed method guarantees bijective results with excellent smoothness.
Microstructure and mechanical properties of spray formed 7055 aluminum alloy by fiber laser-arc hybrid welding
Authors: Xu Fei , Zhao Xiaolong , Guo Luyun 
Published: September 2022

Abstract
The spray formed 7055 aluminum alloy with 4.2mm thickness was welded by laser-arc hybrid heat source. The microstructures and properties of the welded joints are studied. The results show that the weld appearance is very full and the weld zone is primary composed of equiaxed crystals. Those equiaxed crystals morphology in different positions are also different, and only a small amount of columnar crystals are locally formed in the fusion zone. The average microhardness values of the weld zone and the heat affected zone are lower than that of the base metal, reaching 64% and 82% respectively. The average tensile strength of welded joints with as-welded state reaches 51% of the base metal. However, the tensile properties of the joints are significantly improved after the two-stage solution and aging heat treatment, and the average tensile strength can reach 515MPa, which was about 84% of the strength of the base metal.
Research on the strength of selective laser sintering core
Authors: Li Jiuru , Qu Jiuhe , Chen Juhui , Zhou Haitian , Sun Yongguo , Fu Lin 
Published: September 2022

Abstract
Taking the tensile strength as the inspection index, the single-factor influence experiment was carried out on the addition of phenolic resin and the four factors of laser power, laser scanning rate and sand thickness in the sintering process, and the optimal level combination of each factor was obtained: the addition of phenolic resin. 5%, laser power 38W, laser scanning rate 3400mm/s, sand thickness 0.25mm.
Effect of particle size on flowability of Lithium hydroxide powder
Authors: Guo Hua , Yu Wangyang , Zhou Jian , Li Hongjun , Shen Fangming , Zhang Jinjian 
Published: September 2022

Abstract
In order to improve the flowability of lithium hydroxide powder, the lithium hydroxide powder in a company was selected under the conveying condition. The degree of circularity was used to quantitatively characterize the micro-morphology of the powder, and the influence of particle size on the flowability of lithium hydroxide powder was studied by the angle of repose method, HR method and Carr flowability index method. The results show that the lithium hydroxide powder gets better with the increasing of particle size. But the flowability of fine particles (≤ 100μm) is poor, while the flowability of medium particles (100~200μm) and coarse particles (≥ 200μm) is good. Based on the experimental results. It is suggested that the inclination angle of silo should be designed to be no less than 500 and the content of powder with particle size less than 100μm in lithium hydroxide should be controlled to improve the conveying efficiency of lithium hydroxide powder.
Lightweight design of the planetary gear reducer of reduction drive hub motors
Authors: Wang Shilin , Xu Xiang , Chen Xinbo , Li Renzheng 
Published: September 2022

Abstract
Hub motor is the development direction of new energy vehicles in the future. Usually, the reduction drive hub motor is directly arranged in the narrow rim space, so there are strict restrictions on the volume and weight of its reducer. This paper presents a highly integrated transmission scheme which can improve the working life of the reducer. For the planetary gear reducer integrated by the reduction drive hub motor, a multi-objective optimization function with minimum volume and large coincidence degree is constructed. In terms of constraints, the necessary conditions of planetary gear transmission are fully considered, the gear module meets the requirements of national standards, and the strength conditions of gear transmission. Using genetic optimization algorithm, the optimal solution satisfying the constraints is obtained. The optimization results show that the coincidence degree of the engagement between the sun gear and the planetary gear increases by 67% and the equivalent volume decreases by 31%, which can reduce the volume and reduce the transmission noise at the same time.
Machine learning based short fatigue crack growth rate prediction for aluminium alloys
Authors: Liu Xinyu 
Published: September 2022

Abstract
As a result of different fatigue characteristics influenced by intricate microstructures, comparing with fatigue crack growth rate in long fatigue crack region, the growth in the short one is more complex to be fitted with fewer parameters. There have been more restrictions for traditional models in describing the nonlinearity between the fatigue crack growth rate and stress intensity factor range in short crack regime. Due to their outstanding ability in prediction with high accuracy and in description of nonlinearity with satisfactory flexibility, machine learning approaches have been payed more attention. The machine learning models have been the better choices to deal with the limitation in fatigue-related problems which traditional solutions cannot overcome. In this paper, two machine learning algorithms: k-nearest neighbour algorithm (KNN) and random forest (RF) are implemented to predict the short fatigue crack growth rate for 2024-T3 and LC9cs aluminium alloys. The testing outcomes of these applied machine learning algorithms are compared to evaluate their prediction abilities. The final results reveal that the values of Pearson correlation coefficient R2
of the KNN are generally higher than that of another method for each material. Each of them has an excellent performance in accuracy and effectiveness, and all of them have excellent extrapolation capabilities to predict the nonlinearity.
Design and Mechanical Efficiency Improvement of Micro Reducer
Authors: Wang Yaqin 
Published: September 2022

Abstract
Micro reducer is widely used, but its mechanical efficiency is not high. Selecting metal materials and engineering plastics to form the motion pair can reduce friction and wear. Selecting new materials in the design of the reducer and adopting new molding technologies can improve the precision of gear transmission and reduce noise and vibration. For a reducer with a large transmission ratio and many transmission stages, rational allocation of the transmission ratios at all levels in the structural design can improve the efficiency of the reducer. Different planetary gear structural designs will also affect the mechanical efficiency, and the structural design is optimized so that the reducer can better take into account the relationship between load and mechanical efficiency.
Research on vibration control of bearingless motorized spindle
Authors: Meng Jie , Guo Sirui , Liang Xi 
Published: September 2022

Abstract
Bearingless motorized spindle is a new type of motorized spindle composed of bearingless motor and motorized spindle. With the increasing speed, the spindle will produce obvious gyro effect and vibration interference, so it is of practical significance to study the vibration control of bearingless motorized spindle. In this paper, the principle of minimum rotor vibration displacement is introduced, and a compensation controller based on adaptive feedback is designed and verified by simulation.
A multi-channel power input automatic switching system based on power quality analysis
Authors: Zhang Leilei , Ding Wei , Wei Ying 
Published: September 2022

Abstact
A Multi-channel power input automatic switching system used for mobile vehicle equipment based on power quality analysis is proposed in this paper. The basic measurement principle of power quality analysis is introduced first, based on this principle, a hardware implementation of the power quality analysis unit is fulfilled, including function diagram, measurement sampling circuit, and communication interface circuit. A communication interface protocol is designed based on CAN bus used for interaction between the multi-channels of power supply input. Based on the power quality analysis unit, the multi-channel power input automatic switching system is proposed driven by the priority of input channel determined by sharing the data of the power quality between the multi-channel power supplies.
Robust Identification Algorithm for Unmanned Underwater Vehicles Dynamics Model Parameters
Authors: Zeng Dezheng , Yan Lijing , Cao Xuanwei , Zeng Keren 
Published: September 2022

Abstract
As the exploration of marine resources continues to deepen, the Unmanned Underwater Vehicles (UUV) have gradually become the focus of industries such as military, fishery, seabed prospecting and marine platform monitoring. At present, the identification technology of the dynamic model parameters of the UUV is not mature yet, and the robustness is poor. In order to solve the problem that the identification algorithm is susceptible to underwater noise when the robot is navigating underwater, this paper integrates the Huber loss function into the recursive least square method, and proposes a robust identification algorithm to improve the control of the underwater robot Accuracy. Finally, the dynamic model of the underwater vehicle is simulated in Simulink to obtain a reasonable input signal, and then this algorithm is used to simulate and identify the model under Gaussian noise with ‘outliers’. The simulation results show that the algorithm has strong robustness while ensuring the identification accuracy.
Fly-by-wire Flight Control Comparative Analysis of Resident and Detached Application Sources of Civil Aircraft
Authors: Shen Yingchun , Chang Shuo , Wei Qiang 
Published: September 2022

Abstract
Starting from the current multifunctional integration and architecture design development status of the flight control system for the mainstream civil aircraft, this paper proposes the system design concepts of “In and Out as a Whole”, “Direct Connection and Transmission”, and “Same Sources and Routes” for the external sensors application sources of the fight control system. External application sources are air data, inertial Reference data and angle of attack sensors in this paper, specifically. This paper analyzes and compares the functional residence and separation processing of external application sources for fly-by-wire flight control system. In addition, it demonstrates the correctness of this design concept and its practical engineering value, systematically. This work has provided a significant reference for future civil aircraft design.
CMOS pixel sensors optimized for large ionizing dynamic
Authors: Ren W. , Baudot J. , Federici L. , Finck C. , Hu-Guo C. , Kachel M. , Reidel C.-A. , Schui C. , Sefri R. , Spiriti E. , Weber U. , Zhao Y. 
Published: September 2022

Abstract
Monolithic active pixel sensors (MAPS) are now well established as a technology for tracking charged particles, especially when low material budget is desirable. For such applications, sensors focus on spatial resolution and pixels with digital output or modest charge measurement ability are well suited. Within the European Union STRONG-2020 project, which focuses on experiments using hadrons, the TIIMM (Tracking and Ions Identifications with Minimal Material budget) joint research activity intends to expand granular MAPS capacity to energy-loss (ΔE) measurement for ion species identification. The TIIMM prototypes are developed in the Tower Jazz 180 nm CMOS image sensor (CIS) process. The Time-Over-Threshold (ToT) method is applied to the sensor for the energy-loss measurement. The main design details and the preliminary test results from laboratory measurements of the initial TIIMM prototype are presented in this work.
Determination of groundwater recharge area using environmental isotopes and hydrochemical data in Raimanuk area, East Nusa Tenggara
Authors: Manta W F , Hendrayana H , Amijaya D H 
Published: September 2022

Abstract
The Raimanuk area, located in East Nusa Tenggara, had a population growth rate of 0.94% in 2019. The area used for harvested agricultural land was 205 Ha. As the population and agricultural land increase, the water demand also increases. Groundwater extraction is feared to be out of control because Raimanuk is a drought-prone area. The availability of groundwater is closely related to the amount of water infiltration and the amount taken. In accordance to that, it is necessary to find out the origin of groundwater in the Raimanuk area. This study aimed to determine the groundwater recharge area using environmental isotopes analysis of 2H and 18O and hydrochemistry. Rainwater samples were taken in March and April 2021 once in every month at 4 locations with different elevations. Groundwater sampling was carried out at 10 drilled wells, 6 dug wells, and 4 springs. Groundwater in the Raimanuk area can be grouped into 4 groups. The groundwater recharge area is in the Mandeu hills at an altitude above 390 masl. The composition of groundwater is dominated by calcium (Ca), sodium-potassium (NaK), and bicarbonate (HCO3).
Study of Methane Gas Emissions from Agricultural Activities and its Coping Strategies in Bedog Sub-watershed
Authors: Ramadhan M F , Ufiyatun E , Maulana K M , Jatmika Y B A S , Sari L R , Nurjani E , Sudrajat  , Rachmawati R 
Published: September 2022

Abstract
Food production through agricultural activities needs to be intensified to meet food demand. Agricultural activities can also emit methane (CH4) emissions and thus contribute to climate change. Assessing agricultural activities can be done by measuring CH4 emissions, which we implemented in the Bedog Sub-watershed. The purposes of this paper are (1) to calculate CH4 emissions from agricultural activities, and (2) to propose strategies to deal with CH4 emissions. Emissions calculation was done by using IPCC 2006 framework. The mapping results of agricultural area in 2015 and 2020, which consists of rice field area and rice variety, were used in this study, along with Tier 1 IPCC factor. The results of this study show (1) the value of CH4 emissions from rice fields in 2015 was 0.73 Gg CH4/year and decreased by 0.64 Gg CH4/year in 2020. Meanwhile, methane emissions from animal husbandry were 0.35 Gg CH4/year in 2020. This decrease was caused by land-use change in the Bedog Sub-watershed. (2) Theoretically, adaptation and mitigation strategies that can be implemented in the Bedog sub-watershed are the technology for water management and farming, capacity building, determining the appropriate variety and feed, fertilizing, regulating water regimes, method of tillage, and processing biogas.
Evaluation of Settlement Relocation Due to the 2018 Palu Earthquake
Authors: Marwasta D 
Published: September 2022

Abstract
The earthquake followed by the Tsunami and Liquefaction in Palu City, Donggala Regency and Sigi Regency, Central Sulawesi Province on Friday, September 28, 2018 with a magnitude of 7.4 on the Richter Scale has resulted in hundreds of people missing, more than two thousands of people injured and thousands of people dying. BNPB informed that there was quite a lot of physical damage to facilities and infrastructure, including several houses and public facilities in residential locations. The steps taken in response to the incident were the relocation of settlements in disaster-affected areas, one of which was in the Sidera Transmigration settlement area. This article aims to analyze and evaluate the relocation of settlements, especially in the Sidera Transmigration settlement area. The method used is thematic mapping of the factors that determine land suitability for settlements, and spatial analysis using map overlay techniques complemented by quantitative descriptive analysis. The results of the analysis and evaluation indicate that the transmigration area used as a residential relocation area for disaster victims is quite appropriate and meets the requirements for living, feasible for business, suitable for development, and environmental friendly.
Building density and its implications to COVID-19 health risk management: An example from Yogyakarta, Indonesia
Authors: Larasati Ajeng , Handayani Warsini , Febriarta Erik 
Published: September 2022

Abstract
Transmission rates of COVID-19 have been associated with the density of buildings where contact among individuals partially contributes to transmission. The research sought to analyze the spatial distribution of building density derived from satellite images and determine its implications to COVID-19 health risk management using Yogyakarta and its surrounding districts as an example. Fine-scale building distribution obtained through remote sensing data transformation was analyzed with GIS. NDBI was applied to Landsat 8 imagery; then, using multiple linear regression analysis, it was correlated to building density’s training samples generated from high-resolution imagery. The derived percent of building density (PBD) was combined with publicly available records of COVID-19 infection to assess risk. This research found that PBD could explain the uneven COVID-19 diffusion at different stages of its development. Instead of dividing regions into zones based on confirmed cases, government and public health officials should observe new cases in high-PBD districts; then, when the cases are decreasing, their attention should shift to low-PBD districts. Remote sensing data allow for moderate-scale PBD mapping and integrating it with confirmed cases produces spatial health risks, determining target areas for interventions and allowing regionally tailored responses to anticipate or prevent the next wave of infections.
Coastal Hazard Modeling in Indonesia Small Island: Case Study of Ternate Island
Authors: Handayani W , Mutaqin B W , Marfai M A , Tyas D W , Alwi M , Rosaji F S C , Hilmansyah A A , Musthofa A , Fahmi M S I 
Published: September 2022

Abstract
Indonesia’s small islands have a high potential for multi coastal hazards, including tsunami and coastal floods due to sea-level rise and tidal waves. Meanwhile, most small island populations live in coastal areas, which increases the potential for disaster risk. Hazard assessment is one of the essential stages and bases in disaster management. This study focuses on tsunami and coastal flood hazards modeling in Ternate Island and analyzing the potential impact on coastal land use. This research combined detailed remote sensing data and geographic information system methods to assess the coastal hazard models. A very detailed resolution remote sensing imagery of Pleiades and detail resolution imagery of SPOT 7 are used as input for physical parameter extraction. DEMNAS (Digital Elevation Models Nasional) data as a topographic parameter is used in potential tsunami and coastal flood hazard area coverage. A numerical model is applied to assess the tsunami hazard model using surface roughness, slope, and run-up scenarios based on historical data. At the same time, the coastal flood model integrates sea level rise parameters and average tidal waves. The research results are believed to contribute as important input data for disaster management based on the sister island concept in Indonesia.
Socio-Demographic Factors Affecting Food Security for Low-Income Household During the COVID-19 Pandemic in the Special Region of Yogyakarta
Authors: Hermawati I , Hanjarwati A , Akil H A 
Published: September 2022

Abstract
The COVID-19 pandemic has affected household food security, especially those with low incomes. This study aims to: (1) analyze the influence of socio-demographic factors (gender, age, mother’s education, marital status, occupation, dependents, income, and social assistance) on food security. (2) Measuring the level of food security of low-income families in the Special Region of Yogyakarta seen from the share of food expenditure, using a cross-sectional design and a quantitative approach and involved a sample of 250 low-income households, determined randomly by purposive sampling technique. We collected data through questionnaires, and the data were analyzed using descriptive statistical methods and multiple linear regression models using SPSS software. Three socio-demographic variables affect food security: employment, income, and the number of dependents. Simultaneously, these factors significantly affect the respondents’ food consumption expenditure. This study found that only 42.4% of respondents had food security. It shows that the current COVID-19 pandemic has exacerbated the poverty experienced by respondents. As for recommendations: (1) The government needs to provide social protection to help low-income households through food assistance programs. (2) Social protection programs need to be combined with household-based socio-economic empowerment programs to improve the food security of low-income households sustainably.
The Strategies of Sustainable Watershed Management at Bedog Sub-Watershed, Special Region of Yogyakarta
Authors: Adhitama S Y , Musthofa A , ‘A Rohmah A , Nurwidiani T , Sejati M A , Wati E T , Saputro R , Rachmawati R , Nurjani E , Sudrajat  
Published: September 2022

Abstract
A watershed plays significant roles for maintaining the balance of ecosystem, particularly on the fluvial landform dynamics. Bedog Sub-Watershed as a part of Progo Watershed flows across 11 sub-districts from Sleman and Bantul Regency. This sub-watershed indicates rural-urban characteristics and multi-aspects problems, such as the loss of croplands, a massive land-use changes into built-up area, and the decrease of environmental carrying capacity. On the purposes of preventing the negative aftermaths, this research aimed to create the strategies of sustainable environmental management in case of Bedog Sub-Watershed. This research used secondary data from regional planning products, PODES data, and the relevant literature. Primary data was acquired from in-depth interview with BPDASHL Serayu-Opak-Progo and agricultural-related government agency to gain governmental perspective of watershed management. This research used qualitative descriptive technique to analyse the result of interview. Livelihood assets were calculated by scoring index. The SWOT and DPSIR analysis were conducted to create the relevant strategies implying physical, social-economy, and regional development perspectives in the post-COVID-19 pandemic. The strengthening of government’s institutional aspects was the key to the management followed by necessary comprehensive study in Bedog Sub-Watershed management.