The unmanned aerial vehicle with folding wing can serve in multiple mission profiles，the flight environment is complex and susceptible to low-altitude gusts. A new parameterized aeroelastic model with non-intrusive characteristics was developed to quickly calculate discrete gust response cha-racteristics of Z-shaped folding wing at different folding angles. Firstly，structural and aerodynamic enhancement design was made to the existing Z-shaped folding wing. Secondly，based on the Nastran input file for the flutter calculation of the folded wing in the extended state，the parameterized aeroelastic model under any folding angle was reconstructed. Finally，the effects of parameters such as folding angle，flight speed，gust velocity amplitude and hinge damping between different wing segments on the gust response characteristics of the folding wing were examined. The results show that increasing folding angles can effectively alleviate the gust responses， the increase in flight speed and gust velocity amplitude significantly contributes to the responses of wing tip acceleration and wing root bending moment， the presence of hinge-damping parameters can alleviate the acceleration response of the wing tip，but it also increases the bending moment response of the wing root.

In order to meet the jointing requirements of large-scale components，TA15 wire was used as raw material to join TA15 base metal prepared by laser deposition manufacturing （LDM） and hot isostatic pressing （HIP） with tungsten inert gas （TIG）.The results show that there are differences in the microstructure of different regions of the jointing specimens.The microstructure of the HIP base metal is equiaxed grains，and the internal structure of the grain is bimodal structure.The heat affected zone A （HAZ-A） of HIP base metal presents equiaxed grains.The TIG jointing zone presents β columnar grains，and the intracrystalline is fine basketweave structure.The LDM zone presents β columnar grains，and the basketweave structure inside the grains is coarser than that in the TIG jointing zone.The grain shape of heat affected zone B （HAZ-B） of LDM base metal is still columnar grains.The tensile strength and elongation of the jointed specimens at room temperature are 1 046.3±13.7 MPa and 6.2%± 0.6 % respectively.Compared with the base metal，the tensile strength of the jointed specimens increases and the plasticity decreases.The fracture position of the jointing specimens is HAZ-B，and the fracture mechanism belongs to semi-cleavage and semi-ductile fracture.

Based on imprinting theory and upper echelons theory，took 2015—2021 Shanghai and Shenzhen A-share military-civilian integration listed enterprises as research samples，empirical regression methods were used to verify the impact of the CEO’s IT background on the innovation performance of military-civilian integration enterprises as well as the intrinsic mechanism.The results show that CEO’s IT background has a significant positive effect on the innovation performance of military-civilian integration enterprises.CEO’s IT background has a significant positive effect on digital transformation.Digital transformation plays a partial mediating role in the promotion process of CEO’s IT background to the innovation performance of military-civilian integration enterprises.Government subsidy plays a positive moderating role.After the robustness and endogeneity tests，the above findings remain robust.Further heterogeneity analysis reveals that the promotion effect of CEO’s IT background on the innovation performance of military-civilian integration enterprises is more significant in civil-involved military enterprises and the eastern region.

In order to improve the surface quality and corrosion resistance of DD6 nickel-based single crystal superalloy，the electrochemical polishing experiment of DD6 nickel-based single crystal superalloy was carried out by formamidesulfamic acid solution，and the effects of polishing voltage，electrolyte concentration and polishing time on the surface quality after polishing were studied. The results show that under the conditions of 20 V，electrolyte concentration 1.2 mol/L and of 2 min，the surface roughness is the lowest value of 0.358 \mathrm{\mu }m，and the surface effect reaches the best at this time. Under the conditions of high voltage （30 V） and high acid concentration （1.6 mol/L），irregular pits and impurity particles appeare on the surface of DD6 samples，and the surface quality is poor. After electrochemical polishing，the brightness of DD6 samples is improved，and the polishing voltage is the key parameter affecting the surface brightness.It is analyzed that the surface O element content is low after polishing，indicating that no passivation film containing metal oxides is formed during the polishing process.The Tafel curves before and after polishing of DD6 samples show that the corrosion potential of DD6 samples is larger and the corrosion current is smaller after polishing，so the corrosion resistance of DD6 samples is improved by electrochemical polishing.

As one of key tasks in the field of remote sensing image processing，object detection has always been a research hotspot.Although significant progresses have been made in this field，the deep learning methods still face significant challenges in dealing with scale changes and complex backgrounds in remote sensing images，which limits the further improvement of detection accuracy to some extent.To address this issue，an innovative object detection method for remote sensing images was proposed，which integrated a saliency guided image adaptive fusion module and improved Faster RCNN to enhance the accuracy of object detection.Firstly，in the image preprocessing stage，a saliency guided image adaptive fusion module was proposed，which effectively integrated the semantic information of the image and shallow fine-grained details，allowing the model to prioritize the object region while minimizing background interference.Secondly，after introducing MobileNetV3 as the feature extractor of Faster RCNN，an attention enhanced feature pyramid network was proposed，which combined attention with upsampling to further enhance target features and output high-quality feature maps，effectively improving the extraction effect of multi-dimensional features and providing more accurate and rich feature information for subsequent object detection tasks.Furthermore，a multi-scale region proposal network was designed，which can more accurately capture the features of objects of different sizes and shapes，thereby enhancing the expression ability of features and effectively improving the detection accuracy of targets.Finally，experiments on the DIOR and ROSD datasets demonstrated that the proposed network model exhibits higher detection accuracy compared to other advanced methods，fully demonstrating its superiority and effectiveness.

A comprehensive review of the research progress of solar-powered drones，energy systems，and aerodynamic configuration was provided，aiming to guide the perpetual flight of solar-powered drones.In terms of research history，Sunglider has become the largest known solar-powered drones with a wingspan of 80 m，while the 29 500 m flight altitude record set by Helios remains unbroken to this day.PHASA-35 has become the fastest solar-powered drone with its top speed of 40 m/s.The payload ratio of solar-powered drones is steadily increasing，with China's Rainbow T4 having a payload ratio of approximately 0. 286，second only to Helios at 0. 457.In terms of energy systems gallium arsenide thin-film multi-junction batteries，with an efficiency of up to 33. 6% are the focus of future applications.Lithium-sulfur batteries，with an energy density of 650 Wh/kg are the highest energy-density storage batteries，but their stability issues require further research and improvement.In terms of aerodynamic configuration，the flying wing configuration has a high aerodynamic efficiency，but it has lower stability and poor controllability.The future research direction is to optimize the stability and operability while maintaining its aerodynamic efficiency.

Due to its powerful information storage and programming capabilities， DNA is regarded as the most promising new material for information storage and processing. There is an urgent need to develop novel DNA manipulation techniques and information processing strategies to achieve nanoscale information storage and processing in non-traditional media， thereby providing the tools for construc-ting a new generation of intelligent molecular information processing systems. Based on the basic mechanism of signal regulation and communication in organisms， relevant research in recent years from the perspective of DNA molecular allostery was summarized. Firstly， relevant research on DNA circuits was summarized， including DNA strand displacement technology and the application of protein enzymes. Secondly， the important research results of intelligent molecular information processing from two aspects of information processing and computing platform were analyzed and summarized， inclu-ding DNA neural networks， analog biochemical reaction systems with learning ability， and computing frameworks based on DNA origami. By sorting out these studies， the key problems faced in current intelligent molecular information processing research were analyzed and potential solutions were proposed. Finally， the future directions and applications of this field were summarized and prospected.It is believed that molecular information processing technology will bring more efficient and intelligent information processing methods to human society.

To address the issue of improving the surface integrity of superalloy GH4169，ultrasonic peening and thermal exposure tests were conducted on superalloy GH4169 specimens.The specimens were first subjected to ultrasonic peening tests with a penning coverage of 98%~125% and peening intensity of 0.15 A and 0.25 A. Then the specimens were thermally exposed at 250 °C，400 °C and 550 °C for 1 hour and 10 hours respectively. Finally，the effects of ultrasonic peening on the surface roughness，hardness，microstructure and residual compressive stress of superalloy GH4169 were analyzed，as well as the changes in residual compressive stress after thermal exposure. The results indicate that after ultrasonic peening，the surface of superalloy GH4169 undergoes plastic deformation and the surface hardness significantly increases.The grain refinement in the near-surface layer is significant，and the grain size shows a gradient distribution from the surface layer to the depth，introducing residual compressive stress in the surface layer.Compared to 0.15 A，the peening intensity of 0.25 A increases the grain refinement by 29%.After high-temperature thermal exposure，the residual compressive stresses on the surface of superalloy GH4169 undergo thermal relaxation，with the maximum rate occurring at the initial stage of thermal exposure，after which it tends to stabilize and becomes independent of the duration of thermal exposure.The higher the thermal exposure temperature，the more intense the relaxation of the near-surface residual stress and the greater the depth at which the maximum residual compressive stress is located.

In order to address the challenges in structural strength analysis caused by limited training samples and extreme environmental conditions while improving analytical efficiency，deep transfer learning methods was applied to investigate the mechanical properties of composite laminates for the RX4E electric aircraft.Based on the analysis of experimental results obtained from composite laminates， multiple deep learning models were compared in terms of their ability to predict the experimental results. Finally， the convolutional long short-term memory （CLSTM） was selected as the optimal deep learning model. Furthermore， a transfer learning （TL） model was introduced to accurately predict the stress-strain relationships of composite laminates under varying temperatures， humidities and layup configurations. The results indicate that the proposed TL-CLSTM network model has exceptional capability in predicting the mechanical properties of composites， particularly in predicting the stress-strain relationship， with a mean squared error and a root-mean-square error of 10^-5and 10^-3 respectively.The proposed model can effectively predict the mechanical properties of composite laminates for electric aircraft， overcoming the complexities and inefficiencies of traditional mechanical properties measurement methods，which providing a novel pathway for the future study of electric aircraft manufacturing.

In order to investigate the influence of root slot on the static cascade performance of transo-nic compressor， the high-load diffusion cascade model NACA65-K48 was used as the basis and the influences of root slot with different width and height on the aerodynamic performance and flow structure of the compressor cascade were studied through numerical simulation. The results show that the root slot can effectively weaken the vortex strength on the suction surface， suppress the corner separation along both the pitch and blade height directions， and reduce the flow loss of the cascade. The inhibitory effect firstly increases and then decreases with the increase of the slot width， and it shows a similar trend with the rise in the height. When the width is 12% chord and the height is 5% blade height， the root slot structure of the blade has the most significant effect on improving the flow within the slot， reducing the cascade flow loss by 11.19%.

A method of expanding and improving the hierarchical control structure model （HCSM） of system-theoretic process analysis （STPA） using functional attribute（FA）and directional interaction tag （DIT） was proposed. Based on this method， the hierarchical functional control structure and interaction model （HFCSIM） of the system and essential improvement to STPA was obtained. Through this modification， issues such as the lack of specific methods and forms follow， incomplete interaction information between components， excessive reliance on “Brainstorming” and the difficulty in ensuring model consistency could be solved， and the systematicness， completeness and correctness of the analysis results could be fundamentally ensured. Finally， the effectiveness of the modified method was validated by taking the aircraft wheel braking system as an example.

Taking the unmanned autonomous helicopter （UAH） for campus patrol as an example，ai-ming at the problem of three-dimensional flight path planning during the low-altitude flight of UAH，a three-dimensional multilevel flight path planning algorithm based on ant colony optimization （ACO） algorithm was proposed.Firstly，according to the constraint conditions of the environment and the performance characteristics of UAH，the campus environment was modeled as a three-dimensional raster model，and the distribution of static obstacles was highly stratified to build a two-dimensional raster map.Then，two-dimensional flight path planning was carried out based on the ant colony optimization algorithm with improved pheromone updating mechanism.When the unmanned autonomous helicopter encountered static or dynamic obstacles in front of it，its vertical take-off and landing characteristics were utilized to realize the transformation of the altitude layer. In the new altitude layer，the ant colony optimization algorithm was used to replan the flight path，and finally the three-dimensional flight path planning of the unmanned autonomous helicopter's low-altitude flight task was realized.The simulation results show that the ACO algorithm with improved pheromone updating mechanism can realize the 3D flight path planning of unmanned autonomous helicopter at low altitude better.

To explore the impact of enterprise standardization capabilities grounded in the theory of resource conservation，a meta-analysis structural equation model was constructed based on data from 20 empirical research samples to reveal the potential relationship between them. Research results indicate that Standardization capability positively promotes innovation performance.For technology-based enterprise，the positive impact of standardization capability on innovation performance is more significant；when considering mediating variables，the positive impact of standardization capability on innovation performance is more significant；knowledge conversion partially mediates the impact of standardization capability on innovation performance. It is recommended that enterprises should formulate reasonable standardization strategies based on their own situations，actively engage in standardization formulation，and strengthen the utilization of knowledge resources.

In order to reduce the flow loss at the tip clearance of rotor，the shape of rotor tip clearance was optimized with NASA stage 35 as the research object. The effect mechanism of different rotor tip clearance shapes on single-stage compressor performance and flow field structure was studied by numerical simulation. The results show that the stability margin increases greatly with the decrease of tip clearance value， parallel-type tip clearance，hump-type tip clearance and concave-type tip clearance increase by 2.21%，2.30% and 2.54% respectively，and peak efficiency is almost constant. After the modification the total pressure ratio is increased，and high entropy generation area in the leading edge of the rotor is reduced. The inter-action between shock wave and tip leakage flow is weakened，the leading edge spillage phenomenon is suppressed，the high vorticity area in the rotor channel is reduced，the rotor channel blockage phenomenon is weakened，and the total pressure loss coefficient in the stator channel is reduced. After the modification the rotor stall mechanism changes. The rotor stall may be caused by tip leakage vortex breaking near the rotor pressure surface，large boundary layer separation area on the suction surface，and spanwise underflow accumulation in the corner region of the shroud.

To reduce the development costs of electric aircraft， a multidisciplinary optimization design approach was investigated based on the entire life cycle. By analyzing the composition of the entire life cycle costs for electric aircraft，an entire life cycle cost estimation model was developed. The research established multidisciplinary analysis models encompassing aerodynamics， flight performance，mass， and economic factors. With the optimization objective of minimizing life entire cycle costs， a comprehensive multidisciplinary optimization design method for electric aircraft was proposed. Taking a four-seat electric aircraft as a case， the parallel subspace optimization algorithm was employed to identify the optimal solution， resulting in an optimized overall design scheme that validates the method's effectiveness. This method can be applied to electric aircraft conceptual design， providing technical support for electric aircraft development.

With the rapid development of the aerospace industry，high quality repair technology of aerospace aluminum alloy castings has significant economic benefits and scientific research mirits.Accordingly，a study on the laser deposition repair technology of ZL105 aluminum alloy was carried out.Optimal laser deposition repair process parameters were explored.The microstructure morphology of the laser repair area，the microhardness and room temperature tensile properties of the specimens were measured.The results show that good metallurgical bonding between the repair area and the substrate are obtained.Restoration areas are finely organized and composed of columnar dendrites and isometric crystals.The microhardness of the repaired area increased 16% compared to the substrate，and the strength of the repair parts can reach more than 96% of the strength of the substrate.What’s more，as the repair ratio increases，the strength of the repair parts decreases gradually but the plasticity improves.The fracture mechanism of the repaired specimen is a mixed fracture of tough and brittle.

Composite material tanks are prone to microcracks at cryogenic temperature conditions.Accurately predicting the initiation and evolution of structural microcracks at cryogenic temperatures is crucial for the design and optimization of tank structures.An embedded multi-fiber representative volume element model was established to study the influence of cryogenic temperature conditions on the initiation and evolution of microcracks in composite laminates that considered the in-situ effect.This model was consisted of two 0° adjacent constraint layers and a 90° intermediate layer.Under transverse tensile loads and cryogenic temperature conditions，the microcrack initiation strain and tensile stress in the structure were obtained，and the initiation and evolution of microcracks were studied.The results show that cryogenic temperatures significantly influence the initiation location and evolution path of microcracks in structures. Microcracks are prone to occur in structures at cryogenic temperatures. The interface debonding is more likely to occur in regions with denser fiber arrangements at cryogenic temperatures. The thermal stress results in variations in microcrack initiation location between ordinary temperature and cryogenic temperature conditions. Notably，the structural damage evolution pattern in the intermediate layer remains consistent under both ordinary and cryogenic temperatures.

To address the process route planning problem characterized by dynamic process requirements and intricate process data，a flexible process route planning method was proposed based on deep recurrent q-network （DRQN）.Firstly， leveraging the structural advantages of the long short-term memory （LSTM） network， sequential data features were thoroughly mined to enhance the accuracy and stability of process route planning.Secondly， by integrating the robust dynamic decision-making capability of the deep q-network （DQN） with an adaptive adjustment strategy， the challenges posed by fluctuations in requirements and processing environments were effectively mitigated.Lastly， in response to frequent process changes， a "selective forgetting" mechanism was implemented to improve the response speed of process route planning during step process changes.Simulation results demonstrate that the proposed method can efficiently resolve the process route planning issue associated with part occurrence feature reconstruction.

Hydroxylated boron nitride nanosheets （BN—OH） were prepared by using 30% hydrogen peroxide solvent to strip and modify hexagonal boron nitride （h—BN） by the method of combined hydrothermal/ultrasound preparation. BN—OH/APTES—HPCTP intumescent refractory coatings were prepared by melt blending method using BN—OH， silane coupling agent （APTES） and hexaphenoxycyclictriphosphonitrile （HPCTP） as filler materials. The impact of BN—OH and HPCTP on flame retardant and smoke suppression property of intumescent refractory coatings was explored. According to the cone calorimeter （CCT） test， the BN—OH/APTES—HPCTP intumescent refractory coatings had the lowest fire growth index （FGI）， and the thermal release rate peak （pHRR） and smoke release rate peak （pSPR） were reduced by 17.37% and 22.39%， respectively， compared with conventional intumescent refractory coatings. It is found that HPCTP-assisted intumescence system （IFR） catalyses the expansion of epoxy resin （EP） to form a carbon layer. The modified boron nitride （BN—OH/APTES） is beneficial to improving the compactness of the carbon layer and preventing the flammable gas from approaching the substrate， thereby reducing the damage of the substrate caused by fire.

There are a large number of thin-walled components in aerospace products，which deform before the assembly process due to manufacturing errors and components stress release.If all the dimensions or tolerances of the assembled components can still be interchanged within the limit size，it often requires too high requirements for the components，the production cycle is also too long，and the manufacturing cost of the components was also too high.In response to the uncertainty of product components deformation， the modeling method of measured data was conducted，which effectively integrated technologies such as components geometry，material elasticity，physical data，virtual assembly and simulation analysis.Combined with components data collection before assembly，dynamic simulation analysis was conducted on the assembly process of component deformation bodies.So that out of tolerance deformation components can still be assembled normally.Furthermore，by combining big data and artificial intelligence technology，an equivalent model and application software for the assemblability of on-site deformable bodies are provided，realizing the rapid determination of whether deformed components can be assembled based on measured data of components on the production site，ensuring the continuous production of the production line.

Aiming at the problem that the forming quality of wingtip fairing and glass fiber rib parts in aircraft body couldn’t be guaranteed in the manufacturing process， the influence of uniformity of temperature field distribution on mechanical properties and solidification deformation of parts was studied by optimizing the curing program， changing the number of parts entering the tank， and monitoring the surface temperature field distribution of parts by thermocouple.The results show that in the curing process， appropriately increasing the curing temperature can effectively increase the heating rate in the lower temperature area， improve the mechanical properties of parts and reduce the deformation during curing. When six glass fiber rib specimens are put into the autoclave， the heating rate in the whole tank will decrease， which will affect the curing effect of the structure. In actual production， the number of specimens in the autoclave should be reasonably arranged to ensure the forming quality.

Video person re-identification is a technology for identifying specific person in a multi-camera surveillance network. Compared to the methods based on single-frame images， this type of algorithms can provide more person information， but it also has issues such as model complexity and misalignment in constructing features. To address those issues， a feature fusion-based video person re-identification algorithm was proposed. The proposed algorithm included a global branch and a local branch with spatial transformation. The global branch extracted the global features of person， capturing coarse-grained information and overall contextual information of the person. The local branch with spatial transformation integrated a spatial transformation matrix into the local branch to learn discriminative local regional features and alleviating the issue of feature misalignment. By utilizing a multi-branch structure， the algorithm fused local and global features and aggregated features through temporal average pooling to enhance the diversity of features and improve the robustness of the model. Finally， the model was trained using cross-entropy and a soft boundary triplet loss. The test results on the Mars and DukeMTMC-Video datasets have verified the feasibility of the proposed algorithm. Specifically， the Mars dataset achieves mAP and Rank-1 accuracies of 82.25% and 89.76% respectively， demonstrating excellent practicality.

In order to solve the problem that rolling bearing fault features were difficult to be extracted under strong noise background， parameter optimized variational mode decomposition （VMD） and maximum correlation kurtosis deconvolution （MCKD） were proposed to extract rolling bearing fault features. Firstly， the original signal was decomposed by the optimal combination of parameters obtained by offline optimization of the VMD parameters using the improved sparrow algorithm. Secondly， in order to screen and reconstruct each IMF after decomposition， a new screening metric was constructed based on the envelope spectrum peak factor and sample entropy. Then， the reconstructed signal was augmented with MCKD optimized by the online method of the improved sparrow algorithm. Finally， the bearing failure frequency information was extracted from the enhanced signal by envelope demodulation analysis. Simulation and experimental results show that the proposed method is able to enhance the shock components submerged in the strong noise and effectively extract rolling bearing fault features.

Considering considers consumer battery technology sensitivity and credit trading price factors，aiming at a two-level vehicle supply chain composed of power battery suppliers and battery electric vehicle manufacturers，and the driving range，energy density and power consumption adjustment coefficient of the new dual-credit policy single vehicle credit calculation method were incorporated into the supply chain income model. The effectiveness of the new double integral policy was discussed throuth simulation experiments， and the influence of the new and old dual-credit policy on enterprise decision-making was compared.The research finds that：Compared with the old and the dual-credit policy，the new dual-credit policy can effectively improve the level of battery technology and is conducive to the profit growth of battery electric vehicle manufacturing，but it is not completely conducive to the growth of government revenue. The government can effectively improve the level of battery technology by guiding consumers to improve the sensitivity of battery technology，while relying solely on credit trading price is not effective. The new dual-credit policy provides more strategic options for battery electric vehicle manufacturers，such as vehicle manufacturers with different driving ranges can adopt diffe-rent strategies to achieve optimal production purposes.

To address the issues of low efficiency， blind spots in vision， and high costs of traditional manual security patrols， a security patrol system based on the DiMP （discriminative model prediction） algorithm was designed. The system adopted a modular design and implements autonomous flight control and tracking functions for UAV （unmanned aerial vehicle） on an embedded onboard computer. To enhance the tracking precision and accuracy of small targets during the patrol process， a multi-scale feature fusion strategy was employed to improve the DiMP target tracking algorithm. This strategy involved fusing image pyramid features of different scales with the backbone network features， providing the backbone network with information-rich fused features. The optimized DiMP algorithm achieved a 2.6% increase in target tracking success rate and a 3.4% increase in precision on the UAV123 dataset， while also reaching a tracking speed of 38 fps on the VOT2018 dataset. Finally， the effectiveness of the UAV security patrol was verified in an outdoor environment. The results show that the improved tracking algorithm is capable of operating in real time on the UAV and stably tracking the target for a long time.

In order to measure and analyze the forces on skis during skiing，It is necessary to develop the snowboard measuring system.On the basis of summarizing and analyzing the use of similar products，the integrated circuit design of signal conditioning and wireless transmission，and two dimensional force sensor combination were adopted，a five-dimensional force measurement system for snowboard was developed successfully.The system has higher stiffness，natural frequency and better dynamic measurement performance.The static accuracy of the three-dimensional force sensor is better than 0.2%FS，and the static accuracy is better than 0.4%FS.The dynamic performance of landing impact is tested by the system，and the test results are in good agreement with the theoretical analysis.In the testing process，all the sensors return to zero well，the dynamic performance is stable，and the law of measuring load is reasonable.The successful development of the system provides reference for the research and development of multimensional force measuring system for skiing and skating，and lays a good foundation for the localization and self-control of sports testing device.

Regular inspection of transmission lines is an important guarantee for the long-term stable operation.To solve the problems existing in traditional manual inspection methods such as high labor intensity，low work efficiency and high cost，a PLC-based transmission line automatic inspection robot system was designed， focusing on the robot inspection operations of anti-vibration hammer resetting and broken lines repairing control problems. The manual and automatic control mode were used， the classic PID control algorithm was applied to reset the anti-vibration hammer， and repair the broken lines. The experimental results show that the transmission line inspection robot repair control system can accurately achieve the resetting of the anti-vibration hammer and the repairing of broken lines， and get a better control effect. The system designed is of great significance for the inspection robot to replace the traditional manual inspection method， reduces the labor intensity of inspectors and improves the automation level of transmission line management and maintenance.

The practical working conditions of the wing beam structure were established according to the airworthiness regulations to improve the flight performance and safety of the aircraft. The reliability optimization design of the wing beam structure was completed by designing the wing beam structure parameters，constructing the comprehensive objective function，setting the constraint conditions and constructing the reliability optimization mathematical model. The reliability double-layer optimization strategy of Kriging and Bayesian optimization was adopted to solve the problem of the wing beam structure. The results show that with increasing the calls of the objective function，the mass of the wing beam structure shows a significantly decreasing trend，and the displacement of the wing beam structure under different working conditions is also reduced. Finally，the minimum mass of the wing beam structure and the minimum displacement of the wing beam structure under different working conditions are obtained. These research results provide theoretical support for the optimization design of aircraft wing beam structure.

Fuzzy support vector machine is a classification algorithm that combines support vector machine and fuzzy theory.The existing fuzzy support vector machine algorithms can overcome the impact of noise data to some extent，but they have cost sensitivity，leading to inaccurate estimation of the prior distribution of data.A new fuzzy support vector machine algorithm was proposed.When designing the fuzzy membership function of samples，this algorithm better captures the distribution information of data by using the outlier factor constructed by the similarity of sampling points and their neighborhood density.The optimized model is validated using UCI datasets，which proves its good performance.

In view of the problem of traditional continuous carbon fiber toughened ultra-high temperature ceramic matrix composites （C_f /UHTCs）， such as long preparation period and high cost， an internal grouting process of carbon fiber based on ultrasonic regulation technology was proposed to realize the uniform distribution of ceramic powder in carbon fiber braided body， and the mechanical properties of the prepared composites were analyzed. The research results show that the mechanical properties of the composites can be effectively improved by using ultrasonic regulation technology to assist the internal grouting of carbon fiber， and it has a remarkable effect in the preparation of ultra-high temperature ceramic matrix composites toughened by continuous carbon fiber， which can improve the material preparation efficiency and improve the material properties at the same time， and plays a very important role in promoting the innovation of composite preparation technology.

With the development of the aerospace field and advancement of science and technology，the application field of die-less spinning is becoming more and more extensive.Pre-formed workpieces can be obtained by spinning without a mandrel support，which can really achieve the purpose of high efficiency and low consumables.However，the lack of mandrel support makes it difficult to determine the direction and speed of metal flow of the original blank during forming process.The study of the formed workpiece microstructure can reflect the metal flow and plastic deformation on the macroscopic level，and it can also deeply reveal the related mechanism of the spin forming method.So far，there are few studies on the evolution of the microstructure of die-less spinning forming，which is summarized in this paper.According to the microanalysis of the influence of the spinning parameters on the forming accuracy； through the microstructure of the grain orientation and grain size of the spinning process to carry out a detailed analysis of the metal flow； according to the microstructural characteristics of the spinning workpiece can be the study of the mechanical properties，which helps to reveal the spinning process.The study of the mechanical properties of the spinning workpiece can help to reveal the forming mechanism of the spinning process.

The Belt and Road Initiative plays a prominent role in the high-quality development of Chinese enterprises，and the improvement of innovation quality is the key means for enterprises to gain competitive advantage. Based on the data of Chinese listed companies from 2009 to 2022，the impact of the Belt and Road Initiative on enterprise innovation from the perspective of innovation quality was explored. The results show that the Belt and Road Initiative improves the innovation quality of Chinese enterprises，and the transmission path is resource acquisition effect，Schumpeterit effect and escape from competition effect. It provides an empirical basis for China to accurately formulate of encouraging policies to participate in the "Belt and Road"，and a reference for enterprises to choose the path of innovation quality improvement.

A specialized verification test for starting characteristics was carried out to investigate the influence of intake pressure loss on starting characteristics of core engine.A pressure stabilizing system was installed in front of the inlet to simulate the generation of intake pressure loss and the starting cha-racteristics of the core engine were recorded.For comparison，the starting characteristics of the core engine were also recorded without installing the pressure stabilizing system.After the experiment，the influence of intake pressure loss on starting characteristics was obtained，and the reasons for intake pre-ssure loss caused by the pressure stabilizing system，along with the calculation method for intake pre-ssure loss were studied.The results show that intake pressure loss reduces the speed rising ratio during the starting process，hurting the starting.The reasons for flow loss in different components of the pre-ssure stabilizing system are different，and various optimization methods for the different components can be used to reduce the pressure loss，such as improving the roughness of the rectifier network and the honeycomb，as well as selecting the diffusion angle of the diffuser section reasonably.

In recent years，geo-social networks have attracted a large number of scholars to study them as an important means of abstracting real-world relationships. Among them，the radius bounded k-core search aggregates users who are spatially neighboring and closely related to each other to form subgraph sets，which is widely used in multiple aspects such as advertisement placement and social relationship analysis. However，the high degree of user overlap among subgraphs reduces the search efficiency，and the excessive number of aggregates causes difficulties in user selection. To solve these two problems，the largest radius bounded k-core （LRBK） search problem was proposed，which aimed to search for communities with the largest size that satisfied spatial and cohesion constraints.Combining the known best radius bounded k-core search algorithm RotC+，the basic algorithm was first proposed. Then，an optimization algorithm was proposed by combining effective pruning and optimization strategies. Finally，extensive experiments on five real-world datasets were conducted.The experimental results show that the efficiency of the optimized algorithm is improved by up to about 20 times compared to the basic algorithm.

To address the control requirements for extending the residual stability margin of adaptive variable-cycle engines， a specific configuration of an adaptive variable-cycle engine was selected as the research object. The basic effect sensitivity analysis method was used to analyze the impact of geometric adjustment on the stability margin under three typical engine operating conditions： ground take-off state， subsonic cruise state and supersonic cruise state. The adjustable mechanisms that should be prioritized when the stability margin of the compression system of the adaptive variable-cycle engine was insufficient were identified. The geometric adjustment stability margin extension law was established for this specific adaptive variable-cycle engine and verified under typical operating conditions. The results show that adjusting the throat area of the outer nozzle is effective for extending the front fan stability margin； adjusting the throat area of the nozzle and the ejector area of the rear bypass is effective for extending the rear fan stability margin； adjusting the compressor inlet guide vane angle is effective for extending the compressor stability margin. When applying the established geometric adjustment strategy under typical conditions， the absolute error in stability margins for all compression components is less than ​​0.5%​​， demonstrating the good applicability of the proposed method.

In order to gain a theoretical understanding of the heat transfer mechanism of C/SiC materials，Monte Carlo method was applied to analyze heat transfer of C/SiC corrugated lattice structure composite material.The heat transfer mechanism of the corrugated lattice structure was studied from three aspects： the beam emission position，the beam emission direction and the judgment of the beam occlusion.At the same time，the influencing factors of the heat transfer coefficient of the lattice structure were studied by changing the structural geometric parameters，the emissivity of the solid surface and the temperature applied by the upper panel.The number of samples can be accurate to 4.0×10⁶ and the heat transfer coefficient converges to 0.554 9 \mathrm{W}/(\mathrm{m}\cdot \mathrm{K}) by using the heat transfer coefficient derived from the formula of Monte Carlo method.The results show that，the linear relationship between the heat transfer coefficient，the geometric parameters of the corrugated lattice and the reasons for its change are given，the optimal thermal insulation model parameters of the corrugated lattice structure are obtained.The theoretical research provides certain engineering application value for thermal insulation of aerospace material and composite material research.

The state of charge （SOC） of lithium-ion batteries is a critical parameter in the battery management system of new energy electric vehicles. To address the issue of insufficient SOC prediction accuracy for lithium-ion batteries under complex operating conditions，an intelligent SOC prediction method for electric vehicle lithium-ion batteries based on the Transformer neural network was proposed. Taking the Nissan Leaf battery as the research object， a charging and discharging test platform for new energy electric vehicle lithium-ion batteries was built to simulate the real energy demands of users and the dynamic changes in real-time energy needs. This platform dynamically adjusted the battery’s charging and discharging strategies， collected multi-dimensional battery data， and preprocessed the data. Then， a SOC prediction framework based on the Transformer model was constructed， which extracted complex time series features through neural networks， achieved high-precision predictions of lithium-ion battery SOC. The experimental results indicate that the proposed method outperforms other networks in prediction accuracy， with a mean absolute error of less than 1.51% and a RMSE of less than 0.48%， validating the effectiveness and accuracy of this method.

In order to improve the hot corrosion resistance of TiAl-based alloys in molten salt， rare earth Ce modified NiCrAlY coating was prepared on the surface of TiAl-based alloy by atmospheric plasma spraying technology. The hot corrosion tests in molten salt of NiCrAlY（Ce） coatings were carried out at 900 ℃ for 60 h. The effect of rare earth element Ce on the hot corrosion behavior and mechanism was further discussed. The results show that the addition of rare earth element Ce can improve the hot corrosion resistance of NiCrAlY coating. After hot corrosion at 900 ℃ for 60 h， the corrosion layer on the surface of the NiCrAlY/TiAl coating system peels off severely， causing the failure of the coating. Therefore， the TiAl alloy has suffered from severe corrosion. For the NiCrAlYCe/TiAl coating system， its surface still covers with a complete corrosion layer and only small cracks generat at the interface between the coating and substrate. The NiCrAlYCe coating still possesses hot corrosion resistance property to a certain degree after corrosion.The addition of rare earth element Ce is beneficial to the selective oxidation of Al element， which hindered the formation of spinel oxides. The dense Al₂O₃ film blocks the internal diffusion of S element， thereby improving the corrosion resistance of NiCrAlY coating and extending service life of TiAl based alloy.

For manufacturing enterprise managers，mastering digital leadership adapts to the development of the digital era is the key to promoting the transformation and upgrading of manufacturing enterprises. Based on leadership theory，a path was explored for manufacturing enterprise managers to improve digital leadership，which summarized six antecedents affecting digital leadership，and empirically investigated them using the fuzzy set qualitative comparative analysis （fsQCA） method. The research shows that among all antecedent condition variables，no single element could individually contribute to the realisation of high digital leadership in manufacturing enterprises. There are two paths to achieve high digital leadership capabilities for managers in manufacturing companies. There are four paths to achieve non-high digital leadership capabilities for managers in manufacturing enterprises，which are causally asymmetric with respect to the group paths that produced high digital leadership in manufacturing enterprise.

In order to prevent the issue of transmission efficiency decline or even failure in universal joint caused by wear，the wear amount was calculated based on the Archard model and Hertz contact theory.the functional relationship between the variation amplitude of the output angular velocity and the wear amount was given by using dynamic simulations，and a reliability and sensitivity calculation model was established.The results show that greater wear leads to greater fluctuation of the output angular velocity，with a significant increase in fluctuations once the wear amount exceeds a certain threshold.As the wear amount increases，reliability gradually decreases，and the sensitivity of reliability to each random variable is negative，with the parameter K _H having the highest sensitivity.Therefore，while regularly monitoring the wear amount and the variation amplitude of output angular velocity，appropriate process measures should be taken to improve material hardness and use high-quality lubricants to reduce the mean and dispersion of K _H.