bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smooth Surface Defect Detection of Metal Workpiece Based on Digital Speckle Pattern Interferometry
Authors: Jia Mianqian 
Published: December 2022

Abstract
When the existing defect detection methods are used to detect the defects on the smooth surface of metal workpieces, there is a big difference between the detection results and the actual results, and the detection accuracy is low. Therefore, the digital speckle pattern interferometry (DSPI) technology is introduced in this paper to study the design of the detection method of smooth surface defects of the metal workpieces. In this paper, the smooth surface of metal workpiece is measured by using digital speckle interferometry. The speckle on the measurement image is processed by the Laplace algorithm, and the speckled area is automatically extracted; The defects on the smooth surface of the metal workpiece are detected and located according to the speckled area. The comparative experiments show that the detection errors of the two new detection methods are less than 0.1 µm in practical application, and the detection accuracy is high, which can realize the high-precision detection of smooth surface defects of metal workpieces.
Analysis and Diagnosis of Rolling Bearing Faults from the Perspective of Frequency Domain
Authors: Chen Bin , Li Yunxin , Lv Rongxin , Sheng Aitong , Wang Xiaorui , Li Junyi 
Published: December 2022

Abstract
Rolling bearing components are broadly utilized in major mechanical fabricating businesses and guaranteeing the secure and steady operation of rolling heading could be a basic necessity of the fabricating prepare. Engineering for intelligent manufacturing has grown significantly in importance during the past several years in the manufacturing sector. The method for identifying mechanical faults based on “frequency domain analysis plus intelligent model” has developed rapidly. In this study, methods such as envelope spectrum analysis and spectral kurtosis are applied to process and analyze fault data to improve the service life of rolling bearing production equipment. In addition, we perform grid search tuning of the hyperparameters in spectral kurtosis, enabling faster frequency band selection for envelope spectral bandpass filtering.
Failure Analysis of The Weld in Shale Gas Gathering Pipeline
Authors: Bao Mingyu , Gao Jian , Liu Chang , Sun Mingnan , Chen Yanjun , Wang Qiliang 
Published: December 2022

Abstract
Perforations occurred at the weld of a shale gas gathering pipeline in Shunan gas field. In order to explore the specific causes of weld failure, this paper carried out analysis by means of Macroscopic detection, Mechanics property analysis, Metallographic analysis, Scanning electron microscopy (SEM), Energy spectrum analysis (EDS) and other means. The analysis results show that CO2 corrosion is the main cause of weld failure of flat shale gas gathering pipeline. In addition, there are obvious defects in the weld and large residual stress, coupled with the presence of S element, which directly aggravate the corrosion perforation of the weld. In this paper, the specific reasons for weld failure of a shale gas gathering pipeline in Shunan gas field are explored, which can provide some reference for anti-corrosion of shale gas gathering pipeline.
Optimization Design of Landing Gear Structure based on Fatigue Life Constraint
Authors: Wu Binbin , Shi Yan , Yin Yin 
Published: December 2022

Abstract
To decrease the weight of the landing gear and expand the application area of the optimization method with fatigue life constraint in complex mechanisms, the optimization models of the landing gear with fatigue life and stress as constraints are established, respectively. The comparison results show that the optimization results with fatigue life as a constraint are more reasonable, as stress and life requirements of the landing gear can be taken into account simultaneously. Finally, the static test was carried out to verify the accuracy of the optimization results. Test results indicate that the optimization method based on fatigue life constraint has good applicability and application value in practical engineering.
Comprehensive assessment of equipment maintainability testability and supportability
Authors: Quan Li , Liu Baoding , Liu Haigang , Yu Jinsong , Li Xin 
Published: December 2022

Abstract
General quality characteristics can reflect the performance and quality of equipment and have great guiding significance for the design, production, trade, and use of equipment. Maintainability, testability, and supportability (MTS) are all related to equipment faults and maintenance support and have strong relevance between them. Solving the problem of the isolation of the three characteristics evaluation requires to reduce the duplication of work and improve the evaluation efficiency, comprehensively assessment methods based on model and test are proposed by analysing the correlation of the MTS parameters. In the case study, parameters of different characteristics are obtained instead of one single characteristic, which shows the effectiveness of the proposed methods compared with the traditional sequential assessment method.
The simulation analysis of sealing performance of cone-cone premium tubing connection under combined loads
Authors: Yu Yang , Qu Zhan , Cao Yinping , Dou Yihua 
Published: December 2022

Abstract
Under the complex downhole loads, premium tubing connections often suffer from seal failure and threaded connection failure, leading to tubing string leakage and even safety accidents. Therefore, this paper focuses on the cone-cone premium tubing connection, simulating the make-up process and downhole load conditions, establishing three dimensional finite element models of premium tubing connections, analyzing the distribution of equivalent stress and contact pressure on sealing surface, shoulder and thread. The results show that the stress is mainly concentrated on the shoulder and sealing surface under the make-up torque. The equivalent stress on the shoulder shows a trend of increasing first and then stabilizing. The equivalent stress at the sealing surface tends to be stable first and then decreases. Under the combined loads, the overall equivalent stress of connection increases. The contact pressure decreases slightly in the area of sealing surface and the shoulder inflection point. It may cause joint failure and leakage, when the internal pressure is over 80MPa and the axial compressive load is greater than 800kN, which will lead to the maximum equivalent stress of the threaded part exceed 5.5% of the yield strength.
Current status and suggestions of satellite borne single-phase fluid loops
Authors: Liu Qingzhi , Huang Lei , Yi Hua 
Published: December 2022

Abstract
Enhancement of the load function and diversification put forward higher requirements for thermal control mode and the thermal rejection ability of the satellite. Limited to size, heat transfer efficiency, and mission characteristics of the satellite, thermal rejection ability has increasingly become one of the most important factors which restrict the mission of the satellite, and technical advantages and potential application of the single-phase fluid loops have become increasingly prominent. The single-phase fluid loop has been applied to China’s satellite field several times and has played an important role in long-distance heat transfer, expanding thermal rejection ability and improving system control ability. This paper describes the current application status of the single-phase fluid loops in China’s satellite field in recent years and provides some suggestions for developing and applying the single-phase fluid loops in the future. The single-phase fluid loop has become one of the important options for satellites with high power and distributed heat sources. Weight, layout, and micro-vibration are the major limited elements for space application, which should be further studied. Research on the high integration of products, new products, and vibration isolation technology is helpful and necessary.
A review of methods for calculating of the interfacial heat transfer coefficient
Authors: Lin Xiyue , Li Xianjun , Zhang Wenliang , Luo Ping , Liang Xiao , Chen Jiaheng , Yang Jie 
Published: December 2022

Abstract
As an important parameter for quenching and simulation, the interfacial heat transfer coefficient (IHTC) is hard to be directly measured through experiments. Researchers have come up with different methods to solve the problem. Currently, the numerical method, the heat balance method (HBM), the Beck’s non-linear estimation method (BEM), and the lumped heat capacity method (LCM) are the main methods of calculating the IHTC. In this paper, the direct heat conduction problem and the solution are firstly analysed, then the solutions and applications of different methods for calculating IHTC are summarized and reviewed. The different methods are compared at the end of the paper.
Study on fracture analysis of rotor blade in thermal power plant
Authors: Lyu Lei , Tu Anqi , Wang Yingjun 
Published: December 2022

Abstract
The comprehensive failure analysis of the fractured LP rotor blade was carried out by means of appearance morphology analysis, SEM morphology analysis, mechanical property analysis, chemical composition analysis and microstructure detection. The results show that the second and last stage blades at the low-pressure rotor turbine side are damaged by mechanical collision, resulting in damage and deformation at the steam outlet side of the blades and generating stress concentration areas. The blades are prone to generate crack sources in the stress concentration areas of mechanical damage under the working load, and the cracks continue to expand on the condition of alternative stress, eventually leading to fatigue cracking and fracture of the blades. It is recommended to carefully check the blades at other positions of the LP rotor and deal with the mechanical damage and cracking problems in time. Secondly, foreign matters shall be prevented from entering the turbine with the steam to damage the blades, and the fixed parts inside the cylinder shall be ensured to be firm and not fall off, so as to prevent the recurrence of similar blade fracture.
Multi-objective optimization method for distributed energy storage configuration under distribution network operation constraints
Authors: Long Wen , Zhu Bin , Li Huaizheng , Yang Fan , Peng Wenxin , Wang Qiang 
Published: December 2022

Abstract
The multi-objective optimization method for distributed energy storage configuration has the problem of high network loss expectation. A multi-objective optimization method for distributed energy storage configuration under distribution network operation constraints is designed to solve the above problems. The intra-day charge/discharge balance is used as a criterion to identify the characteristics of distributed energy storage configuration, calculate the network loss sensitivity of nodes, construct a siting and capacity setting model, and integrate multiple power quality indicators to improve the multi-objective optimization model under the distribution network operation constraint. The experimental results show that the mean values of network loss expectations for the distributed energy storage configuration multi-objective optimization method in the paper and the other two distributed energy storage configuration multi-objective optimization methods are: 226.731 kW, 270.762 kW, and 276.728 kW, respectively, indicating that the designed distributed energy storage configuration multi-objective optimization method is more feasible after fully considering the distribution network operation constraints.
Research on Power Prediction of Runoff Small Hydropower Cluster Based on Fusion Modeling
Authors: Zhang Feng , Zhang Yi , Qiu Yutao , Wu Xiaogang , Tao Yufeng , Ji Qingfeng , Xie Xiahui 
Published: December 2022

Abstract
The characteristics of the runoff hydropower station are to generate power completely according to the natural runoff, and the output and power generation change with the change of the natural flow. The cluster power prediction of the runoff hydropower station is conducive to improving the safety of the power grid operation and improving the utilization rate of hydropower. This paper analyzes the operation characteristics of runoff hydropower stations, summarizes the prediction direction of mainstream runoff hydropower, analyzes the characteristics of the hydrological prediction model represented by the Xin'an River model, and puts forward a study on the power prediction technology of runoff small hydropower cluster based on fusion modeling. Based on the detailed analysis of watershed runoff characteristics, a prediction model based on multi-watershed observation characteristics is proposed, which combines the traditional hydrological model with the LSTM model to form a combined prediction model suitable for runoff hydropower. The method is universal and innovative.
Numerical simulation of the effect of rib spacing on the heat transfer performance of micro pin-fin heat sink
Authors: Sun Hongwei Zhu Huan , Xu Haorong 
Published: December 2022

Abstract
This paper aims to deeply understand the influence of different columnar rib spacing on the comprehensive thermal hydraulic performance of miniature columnar rib radiator, and further explore the influence of flow and heat flow density Taking 10 miniature columnar rib radiator models as research objects, the single-phase heat transfer process of square miniature columnar rib radiator was studied. The experimental results show that for 10 kinds of miniature columnar rib radiators, the relationship between the maximum temperature difference at the bottom of the ribbed substrate will change with the change of temperature, with linear arrangement and cross arrangement.The maximum and minimum values are, respectively, when the longitudinal spacing is 0.75mm and 0.25 mm, and the maximum and minimum values are, respectively, when the transverse spacing is 0.5 mm and 1.25 mm.
Joint optimization method of electric boiler, heat storage device, CHP and wind power under market environment
Authors: Zhang Yumeng 
Published: December 2022

Abstract
CHP can make more efficient use of energy by combining heat and electricity, and more and more places choose this type of heating. Taking use of CHP for the consumptive power of clean energy has great significance in solving current issues of abandoning wind or light. While due to the physical constraints “set power by heat” of CHP, the regulation ability of the unit is weakened. This paper proposes to apply the heat storage device to CHP to enable CHP can meet heating demand while participating in the deep peak shaving market, to realize the targets of the consumptive power of clean energy and the increment of combined unit profits.
Dynamic Economic Environmental Dispatch of Power System Using An Improved Whale Algorithm
Authors: Lou Jiale , Li Lingling 
Published: December 2022

Abstract
With the global energy crisis and environmental problems becoming increasingly serious, the construction of a new power system containing multiple renewable energy sources for power generation has become a current research direction. In this study, a dynamic economic environmental dispatch model for power systems containing wind and thermal power generation is proposed to promote renewable energy consumption while ensuring system power balance. Firstly, a comprehensive objective function that integrates system operating costs and pollutant emission targets is established, and system active balance constraints and unit output constraints are considered. Secondly, an improved whale optimization algorithm is proposed to deal with the solution problem of the dynamic economic environmental dispatch model by introducing circle chaos mapping, dynamic sine cosine factor, and polynomial variation strategy. Finally, the optimization capability of the proposed model is verified by running a unit test system. The proposed model promotes the consumption and utilization of wind and photovoltaic resources and positively impacts achieving carbon peaking and carbon neutrality.
Mixture Density Network Based on Truncated Distribution and Genetic Algorithm For Wind Power Forecasting
Authors: She Wei , Zhang Renzhong , Liu Wei , Zhong Lihong , Chen Bin , Tian Zhao 
Published: December 2022

Abstract
Due to the excellent wind power probabilistic prediction performance, Mixture Density Network (MDN) is used in short-term wind power forecasting, but the density leakage problem the Not a Number (NaN) loss problem and the choice of hyperparameters in the MDN seriously affect the model performance. GA-TDMDN is proposed in this paper for wind power probabilistic forecasting. GA-TDMDN uses truncated distribution as kernel function to solve density leakage. For the NaN loss problem that occurs during model training, different output layer activation methods and improved loss function are used for different mixture component parameters, so that the shape of the truncated normal distribution can be better controlled. Genetic Algorithms (GA) is used to optimize key hyperparameters in the MDN structure. The experimental results show that it is feasible to use truncated distribution to solve the density leakage problem, and using the GA algorithm to optimize the model structure can improve the model performance
CMS Outer Tracker Phase-2 Upgrade module noise and mitigation
Authors: Zografos A. , Blanchot G. , Kovacs M. , Maier S. , Mateos I. , Pauls A. , Schleidweiler K. 
Published: December 2022

Abstract
The CMS Outer Tracker phase-2 upgrade silicon modules are required to reach noise levels close to the ones expected from the analogue front-end attached to an ideal pixel/strip. Module prototypes, featuring the latest and final prototype hybrids before the production, showed noise that was higher than the expected which could pose a problem in terms of achieving the hit efficiency target. Investigations, reveal the failure modes which are modelled in order to guide mitigation tweaks for the production designs. Knowledge acquired from the investigations along with the noise mitigation design changes implemented on the production hybrids are presented.
Laser photo-ionization study of
nat
Ag using opto-galvanic signal at SPES offline laser lab
Authors: Khwairakpam O.S. , Mariotti E. , Scarpa D. , Nicolosi P. , Khanbekyan A. , Arzenton A. , Ferracane S. , Andrighetto A. 
Published: December 2022

Abstract
Resonant Ionization Laser Ion Source (RILIS) is one of the most advancing techniques for the production of radioactive ion beams (RIBs) in ISOL facilities. SPES project at INFN-LNL is a second generation ISOL facility which aims to produce several isotopes in a couple of years. Within the framework of this project, resonant photo-ionization schemes of several elements are studied in the offline laser lab, to be later implemented in the SPES Laser Ion Source. Silver is one of the elements being studied for the stated purpose. In this article, we report a resonant photo-ionization scheme of silver tested with a hollow cathode lamp (HCL). Evidence of high lying Rydberg states around 60945.32 cm−1 has also been observed by studying the fast opto-galvanic signal detected.
Much of zero emissions commitment occurs before reaching net zero emissions
Authors: Koven Charles D , Sanderson Benjamin M , Swann Abigail L S 
Published: December 2022

Abstract
We explore the response of the Earth’s coupled climate and carbon system to an idealized sequential addition and removal of CO2 to the atmosphere, following a symmetric and continuous emissions pathway, in contrast to the discontinuous emissions pathways that have largely informed our understanding of the climate response to net zero and net negative emissions to date. We find, using both an Earth system model and an ensemble of simple climate model realizations, that warming during the emissions reduction and negative emissions phases is defined by a combination of a proportionality of warming to cumulative emissions characterized by the transient climate response to emissions (TCRE), and a deviation from that proportionality that is governed by the zero emissions commitment (ZEC). About half of the ZEC is realized before reaching zero emissions, and the ZEC thus also controls the timing between peak cumulative CO2 emissions and peak temperature, such that peak temperature may occur before peak cumulative emissions if ZEC is negative, underscoring the importance of ZEC in climate policies aimed to limit peak warming. Thus we argue that ZEC is better defined as the committed warming relative to the expected TCRE proportionality, rather than as the additional committed warming that will occur after reaching net zero CO2 emissions. Once established, the combined TCRE and ZEC relationship holds almost to complete removal of prior cumulative CO2 emissions. As cumulative CO2 emissions approach zero through negative CO2 emissions, CO2 concentrations drop below preindustrial values, while residual long-term climate change continues, governed by multicentennial dynamical processes.
Vegetation disturbances characterization in the Tibetan Plateau from 1986 to 2018 using Landsat time series and field observations
Authors: Wang Yanyu , Ma Ziqiang , He Yuhong , Yu Wu , Chang Jinfeng , Peng Dailiang , Min Xiaoxiao , Guo Hancheng , Xiao Yi , Gao Lingfang , Shi Zhou 
Published: December 2022

Abstract
Disturbances in vegetated land could dramatically affect the process of vegetation growth and reshape the land cover state. The overall greenup of vegetation on the Tibetan Plateau (TP) has almost served as a consensus to date. However, we still lack consistent acquisitions on the timing, the spatial patterns, and the temporal frequency of vegetation disturbance over the TP, limiting the capacity for planning land management strategies. Therefore, we explored the spatiotemporal pattern and variation of vegetation disturbances across the TP during the past decades and analyzed the disturbance agents. We utilized 37-year Landsat time series images and field observations coupled with a temporal segmentation approach to characterize the spatiotemporal pattern of vegetation disturbances across the TP for the period 1986–2018. The results from this study revealed that 75.71 M ha (accounting for 29.34% of TP’s area) vegetation area underwent at least one disturbance, of which 8.44 M ha area ever experienced large-scale disturbances (disturbance area greater than 0.9 ha and disturbance magnitude (the difference between the spectral value of pre-disturbance and that of post-disturbance) over 0.2). Further, the spatial distributions of these large-scale disturbances varied over time: before 2002, the disturbed sites were evenly distributed over the southeast part of the TP probably induced by overgrazing and unscientific livestock management, while after 2002, most disturbances were concentrated in the south of the Yarlung Tsangpo, mainly caused by anthropogenic activities, such as urban area, roadways, railway, and water control projects. This study presents an effort to characterize vegetation disturbances and their variations over the past decades on the TP, which provides crucial insights toward a complete understanding of vegetation dynamics and its causal relationship with human activities.