Abstract: With the rapid consumption of traditional fossil energy and the aggravation of environmental pollution, it has become a trend for new energy to replace fossil energy as the main power source. Under this trend, lithium-ion batteries have attracted more and more attention as a new energy storage device, and it has been widely used because of its many remarkable merits. However, lithium-ion batteries are sensitive to the temperature, so the battery thermal management (BTM) is an indispensable component of commercialized lithium-ion batteries energy storage system. At present, there are mainly four kinds of BTM, including air medium, liquid medium, heat pipe and phase change material (PCM) medium. Among them, PCM based BTM is a novel passive thermal management technology, and control the temperature by means of the latent heat during the phase change of PCM, which provide the great ability and high efficiency of thermal management. Many functional fillers could improve significantly the thermal conductivity, antileakage and other properties of pure PCMs, which is more suitable for the BTM. In this paper, the advantages of PCM based BTM are analyzed, and the latest research progress is comprehensively summarized and reviewed. Furthermore, the current technical problems and future research trend of PCM based BTM are also discussed. This work can provide an important evidence and new insight into the selection of PCMs for thermal management of lithium-ion batteries.

Abstract: The corrosion of St3 steel in 1 M NaCl saturated with CO2 and H2S is a large problem in the chemical industry; therefore, creating green and more efficient inhibitors is an urgent task. However, there have been extremely limited research results related to this problem. In this research, a novel glycoluril pharmaceutically active compound (GCU) was first introduced as a green corrosion inhibitor for St3 steel in 1 M NaCl saturated with CO2 and H2S. The inhibition properties of the novel glycoluril pharmaceutically active compound were fully characterized by thermodynamic, gravimetric, electrochemical impedance spectroscopy (EIS), potentiodynamic polarization (PDP), electrochemical frequency modulation (EFM), linear polarization resistance (LPR), density functional theory (DFT), molecular dynamics (MD) simulation, scanning electron microscopy (SEM) and energy dispersive X–ray spectrometry (EDX) methods. The obtained results indicated that this inhibitor is an excellent inhibitory molecule, and its maximum protection degree was 95.62% at 100 mg/L/0.08 mM. The adsorption behaviour of this inhibitor was characterized from a Langmuir isotherm. Electrochemical studies demonstrated that this molecule is a mixed–type corrosion inhibitor. The theoretical calculations indicated a good correlation with the experimental results and confirmed that the adsorption–inhibition character depends on the molecular structure of the inhibitor and that the protonated form of the inhibitor is more inhibited than its neutral form.

Abstract: The aim of selective laser melting (SLM) technology is to obtain high quality workpieces through optimization of processing parameters. However, the defects and microstructures are simultaneously changed with the change of process parameters, so their effects are hard to discuss separately. To meet this challenge, 24 combinations of laser power and scanning speed were designed to fabricate the SLM manufactured Ti6Al4V alloy, and the volumetric energy density (VED) of them ranges from 30 J/mm3 to 100 J/mm3. It is found that with the increase of VED the prior β boundary tended to be straighter and wider, while the morphology of α lamella did no change distinctively. The porosity varies from nearly 0% to 4% in this process zone, which has significant effects on the tensile properties. For samples with high porosity (0.25%–4%), the influence of defects covered the influence of microstructure, leading to stochastic ultimate tensile strength and stably low elongation. For samples with low porosity (0.01%–0.25%) and extra-low porosity (

Abstract: The existing (augmented reality) AR-aided assembly is highly associated with AR devices, which mainly provides guidance for one operator, and it is hard to share augmented assembly instructions for large-scale products which require multiple operators working together. To address this problem, the paper proposes a distributed cognition based localization method for AR-aided collaborative assembly. Firstly, a scene cognition using multi-view acquisition about industrial environments is performed with incremental modeling in advance, providing the foundation for the subsequent pose estimate of multi-AR clients. Then, based on feature extracting and matching against the pre-built shop floor model, a pose recovery of AR-aided system is derived from different views of AR operators in a global coordinate system, followed by a distributed motion tracking with the complementary features of visual and inertial data, resulting in a co-located collaborative AR instruction for assembly. Finally, experiments are carried out to validate the proposed method, and experimental results illustrate that the proposed method can achieve distributed cognition-based localization accurately and robustly. Therefore, shared visual communications among multiple operators are synchronized, and assembly status is aware by all the operators.

Abstract: In recent years, substantial research efforts have turned towards concrete filled double skin steel tubular (CFDST) column due to its superior mechanical performance. However, an effective and convenient connection method between a CFDST column and a beam still needs to be investigated in depth. This paper tried to adopt the blind bolting technology in a CFDST column to beam connection. A series of joint specimens were prefabricated and designed with different end plate types, column hollow ratios and beam types to carry out pseudo-dynamic tests. Excellent seismic performance was detected for all test specimens. It was observed that increasing the column hollow ratio could moderately increase the ultimate strength and the specimen with extended end plate had higher ultimate strength stiffness compared with that with flush end plate. To accurately capture the dynamic response for this type of joint, an analytical model was developed considering the shear performance of panel zone and moment-rotation behavior of connection. Shear strength of CFDST column panel zone was modified from that of CFST column panel zone based on the yield line method for including the contribution of confined compression strut. It indicated that two potential yield mechanism might appear depending on the column hollow ration (χ). The analytical model could well predict the test results. The research and analytical results provided an effective connection method to assemble a CFDST column to a beam and supply a feasible analytical model to predict the joint performance.

Abstract: Abstract. Surges are an important source of glacier hazards and complete surge-type glacier inventories are required for assessing glacier-related hazards. Glacier surge events in High Mountain Asia (HMA) are widely reported. However, the completeness of present inventories of HMA surge-type glaciers is constrained by the insufficient spatial and temporal coverage of glacier change observations, or by the limitations of the identification methods. In this paper, we established a new inventory of HMA surge-type glaciers based on the glacier surface elevation changes over four decades. Four kinds of elevation sources (KH-9 DEM, NASADEM, COP30 DEM, HMA8m DEM) were utilized to estimate the glacier surface elevation changes during two periods (1970s–2000 and 2000–2010s). In total 1015 surge-type glaciers were identified in HMA. Compared to the latest surge-type glacier inventory in HMA, our inventory incorporated 477 new surge-type glaciers. The number and area of surge-type glaciers accounted for ~2.49 % (excluding glaciers less than 0.3 km2) and ~23.32 % of the total glacier number and glacier area in HMA, respectively. Considering that glacier outlines are usually composed of multiple tributaries within a glacier complex, the proportion of surge-related area may be overestimated, and the number of surge-type glaciers could be even larger. Surge-type glaciers were found in 21 of the 22 subregions of HMA (except for the Dzhungarsky Alatau), however, the density of surge-type glaciers is highly uneven. Surge-type glaciers are common in the northwest subregions (e.g., Pamir and Karakoram), but scarce in the peripheral subregions (e.g., Eastern Tien Shan, Eastern Himalaya, and Hengduan Shan). The inventory indicates that surge activity is more likely to occur for larger and longer glaciers. Besides, we found a potential relationship between the frequency of surge activities andregional glacier mass balance. The subregions with slightly negative or positive mass balance hold large clusters of surge-type glaciers, while those with severe glacier mass loss hold very few surge-type glaciers. In some subregions where glacier mass loss accelerated, the frequency of surge activities that occurred before 2000 was much higher than that after 2000. The inventory is available at: https://doi.org/10.5281/zenodo.6944979 (Guo et al., 2022).

Abstract: The advanced cabin system can greatly affect the passenger experience and cabin management efficiency, and is an important means for airlines to improve their service quality and brand strategy and implement differentiated competition. Intelligent cabin based on IoT can realize intelligent interaction, provide passengers with integrated experience and active one-stop service, and make passengers' flight a pleasure. At the same time, it can change the traditional service model and improve the efficiency of airline services. In this paper, the application scenarios of aviation IoT smart cabin are analyzed, a smart cabin architecture based on aviation IoT is designed, and solutions for upgrading the existing civil aircraft cabin are provided.

Abstract: Understanding the relationships between stakeholders is critical to project success. This paper introduces value exchange concept from social exchange theory and investigates its application in stakeholder relationship modeling for Electric Vehicle (EV) development project. Firstly, identify stakeholders of the EV development project. Secondly, use an improved value flow identification template to identify the needs and value flows of stakeholders, classify those value flows, and then build a stakeholder relationship network. Finally, analyze the value path and value cycle based on the relationship network, and discuss the advantages of the research in four aspects including indirect relationship analysis. The research can provide supports for project stakeholder relationship modeling and requirements understanding.

Abstract: In recent years, substantial research efforts have turned towards concrete filled double skin steel tubular (CFDST) column due to its superior mechanical performance. However, an effective and convenient connection method between a CFDST column and a beam still needs to be investigated in depth. This paper tried to adopt the blind bolting technology in a CFDST column to beam connection. A series of joint specimens were prefabricated and designed with different end plate types, column hollow ratios and beam types to carry out pseudo-dynamic tests. Excellent seismic performance was detected for all test specimens. It was observed that increasing the column hollow ratio could moderately increase the ultimate strength and the specimen with extended end plate had higher ultimate strength stiffness compared with that with flush end plate. To accurately capture the dynamic response for this type of joint, an analytical model was developed considering the shear performance of panel zone and moment-rotation behavior of connection. Shear strength of CFDST column panel zone was modified from that of CFST column panel zone based on the yield line method for including the contribution of confined compression strut. It indicated that two potential yield mechanism might appear depending on the column hollow ration (χ). The analytical model could well predict the test results. The research and analytical results provided an effective connection method to assemble a CFDST column to a beam and supply a feasible analytical model to predict the joint performance.

Abstract: Accurate, clear and timely communication is necessary proposition in the air control work. Whether the Communication equipments work normal or not directly affects the quality of controllers and pilots, even affect the aircraft flight safety. There are much circuit components in the communication system, in the traditional circuit fault detection, due the whole test process by testing is personnel manual operation, some problems like time consumingY low accuracy, large amount of data analysis etc exist in the tests. According to this situation, this paper adopt programming mixed LabVIEW with Matlab for the analog circuit of communication system based on BP neural network in the fault diagnosis system research, this paper studies improve the efficiency of fault diagnosis exactly.

Abstract: The sound system of flight simulator civil aircraft can provide users with realistic cockpit sound environment, which leads to a higher level of immersion for users. Sound data can be obtained through flight simulator data package sound acquisition flight test, and can be used for modelling and identification of the sound system of flight simulator. In order to improve the efficiency of flight test and obtain accurate sound data, the flight test scheme design of flight simulator data package sound acquisition was researched in this paper. Take the flight simulator data package sound acquisition flight test for a certain aircraft for example, analysis of flight test requirements, flight test scheme design and data analysis and validation were described, which can provide useful reference for similar flight test.

Abstract: Abstract. Surges are an important source of glacier hazards and complete surge-type glacier inventories are required for assessing glacier-related hazards. Glacier surge events in High Mountain Asia (HMA) are widely reported. However, the completeness of present inventories of HMA surge-type glaciers is constrained by the insufficient spatial and temporal coverage of glacier change observations, or by the limitations of the identification methods. In this paper, we established a new inventory of HMA surge-type glaciers based on the glacier surface elevation changes over four decades. Four kinds of elevation sources (KH-9 DEM, NASADEM, COP30 DEM, HMA8m DEM) were utilized to estimate the glacier surface elevation changes during two periods (1970s–2000 and 2000–2010s). In total 1015 surge-type glaciers were identified in HMA. Compared to the latest surge-type glacier inventory in HMA, our inventory incorporated 477 new surge-type glaciers. The number and area of surge-type glaciers accounted for ~2.49 % (excluding glaciers less than 0.3 km²) and ~23.32 % of the total glacier number and glacier area in HMA, respectively. Considering that glacier outlines are usually composed of multiple tributaries within a glacier complex, the proportion of surge-related area may be overestimated, and the number of surge-type glaciers could be even larger. Surge-type glaciers were found in 21 of the 22 subregions of HMA (except for the Dzhungarsky Alatau), however, the density of surge-type glaciers is highly uneven. Surge-type glaciers are common in the northwest subregions (e.g., Pamir and Karakoram), but scarce in the peripheral subregions (e.g., Eastern Tien Shan, Eastern Himalaya, and Hengduan Shan). The inventory indicates that surge activity is more likely to occur for larger and longer glaciers. Besides, we found a potential relationship between the frequency of surge activities andregional glacier mass balance. The subregions with slightly negative or positive mass balance hold large clusters of surge-type glaciers, while those with severe glacier mass loss hold very few surge-type glaciers. In some subregions where glacier mass loss accelerated, the frequency of surge activities that occurred before 2000 was much higher than that after 2000. The inventory is available at: https://doi.org/10.5281/zenodo.6944979 (Guo et al., 2022).

Abstract: Although the artificial ice flight test is a pre-flight test for the natural icing flight test, it is still a high-risk flight test. In order to reduce the risk of flight test, this paper proposes a method to compare and analyze the actual lift coefficient and design lift coefficient of the test aircraft in real time according to the current flight state of the test aircraft. This method takes the telemetry data of the test aircraft as the input, and uses the filtering and noise reduction algorithm to improve the data quality. According to the test data such as overload, the actual lift coefficient of the test aircraft can be calculated, while the design lift coefficient can be calculated according to the flight state and the deflection angle of control surfaces. By comparing the two in real time, it is possible to analyze whether the state of the test aircraft deviates from the design value in real time, and provide a reference for the real-time flight test safety assessment.