6971 results about "Liquid state" patented technology

The invention provides an electromagnetic field composite powder feeding type plasma arc additive manufacturing formability regulation and control method and system, and relates to the technical field of plasma arc additive manufacturing. The flowing direction and speed of liquid metal in a molten pool in the deposition process are regulated and controlled through the target composite electromagnetic field, and the morphology and the internal organization structure of a deposition layer are controlled; in the process of regulating and controlling the liquid metal in the molten pool, process parameters and molten pool dynamic image data in the deposition process are collected in real time, and a pre-trained state recognition model is used for conducting self-adaptive adjustment on the process parameters of a subsequent deposition layer; and after deposition of each layer is completed, a laser scanning system is adopted for measuring the actual geometric size and surface appearance of the deposition layer, deposition manufacturing of the next layer is executed based on the optimized composite electromagnetic field control parameters, the corrected layered slicing data and the process path, and the execution is executed circularly till manufacturing of the whole workpiece is completed.

The invention discloses an ocean temperature difference coupled offshore constant-pressure compressed carbon dioxide energy storage system and method, and relates to the technical field of compressed gas energy storage. The system comprises a working medium constant-pressure storage device, a carbon dioxide energy storage circulation loop, a carbon dioxide energy release circulation loop and a heat storage circulation loop. Gaseous carbon dioxide is condensed into a liquid state by utilizing deep sea low-temperature seawater in an energy storage stage, liquid carbon dioxide is evaporated into a gaseous state by utilizing shallow sea high-temperature seawater in an energy release stage, and gas-liquid conversion of carbon dioxide is realized by fully utilizing ocean new energy and ocean temperature difference; the flexible working medium constant-pressure storage device is used for storing low-pressure gaseous carbon dioxide and high-pressure liquid carbon dioxide, the constant pressure of the working medium constant-pressure storage device in the charging and discharging process can be guaranteed, and efficient and stable operation of the system is achieved. Efficient liquefaction and high-density storage of high-pressure carbon dioxide are achieved through the ocean temperature difference and seawater static pressure, the efficiency and energy density of the energy storage system are improved, and deep development of offshore resources is achieved.

The invention relates to the field of intelligent control, and provides an automatic control method and system of a fly ash melting processing system, which adopts an image analysis and data processing algorithm based on artificial intelligence to carry out state analysis of a molten liquid state image and time sequence association of melting temperature data in a melting furnace. Therefore, the heating power recommendation decoding value of the next time point is intelligently obtained according to the prompt enhancement joint representation between the molten liquid state characteristic and the melting temperature time sequence correlation characteristic. Thus, compared with a traditional fixed temperature set value, the system can analyze the state of the melting process in real time, dynamically and accurately adjust the heating power and ensure that the temperature is always kept within the optimal range, so that temperature fluctuation is reduced, the stability of the melting process is kept, and intelligent monitoring and control over the fly ash melting process are achieved.

The invention relates to the technical field of chip heat dissipation, in particular to a computer chip liquid cooling heat dissipation system and method. The heat dissipation control module is used for outputting a control instruction according to the temperature difference value, constructing a chip temperature prediction model, obtaining a chip temperature prediction value, adjusting a judgment result of a heat dissipation mode according to the chip temperature prediction value, and correcting a safe working temperature value according to the use duration of the chip; and the execution feedback module is used for controlling the cooling liquid adjusting device according to the control quantity, outputting alarm information according to the cooling liquid flow, constructing a preset flow dynamic adjusting model and obtaining preset flow automatic adjusting information according to the real-time environment temperature data and the real-time computer load data. According to the invention, the potential overheating risk can be found in time, and the stability and reliability of the system are improved.

The invention relates to a liquid silica gel injection molding process optimization method and system in the field of intelligent manufacturing, and the method comprises the steps: obtaining mold structure data adaptive to a shrinkage rate, combining geometric characteristics of a complex structure product, adopting a topological optimization algorithm to redesign a parting surface and a demolding path, and determining a lossless demolding mold parting scheme; whether the product damage risk is lower than a preset threshold value or not is judged by simulating stress distribution of the demolding path, and if the product damage risk is lower than the threshold value, final mold manufacturing parameters are generated, and an optimized production process configuration file is obtained; extracting production rhythm data from the optimized production process configuration file, dynamically adjusting the operation cycle of the injection molding machine in combination with the demolding efficiency monitored in real time, and determining equipment parameter configuration for efficient mass production; and generating a control instruction sequence according to the equipment parameter configuration, and transmitting the control instruction sequence to the injection molding equipment and the mold heating system through the industrial Internet of Things to obtain operation state data of the automatic production line.

The invention discloses an intelligent control system for a diamond grain curing sintering furnace, belongs to the technical field of industrial furnace control, and aims at solving the problems that existing sintering control depends on experience, process monitoring is not comprehensive, real-time optimization is difficult to achieve, and product quality consistency is difficult to guarantee. The system comprises a sensor module, a multispectral imaging device, a data preprocessing module, a liquid neural network module, an attention fusion module, a user interaction module, a thermal structure coupling module and a real-time feedback control module. A liquid neural network is used for processing time sequence dynamics, multi-dimensional features such as temperature, humidity, spectrum and mechanical force are fused through a multi-head attention mechanism, and in combination with an internal state result of user input and thermal structure coupling analysis, a real-time feedback control module adopts a closed-loop strategy to calculate optimal firing parameters and generate a control signal; and the actuating mechanism is driven to perform self-adaptive adjustment.

The invention relates to the technical field of particle analysis, in particular to a cyst particle analysis system based on an AI algorithm, and the system comprises a particle image screening module, a boundary feature module, a structure deduction module, a particle recognition module and a performance analysis module. According to the method, the gray contrast and edge change rate analysis is carried out on an encapsulated lubricant image frame sequence in a liquid or semi-solid state to realize accurate positioning of a particle target area, an edge angle continuous change slope sequence is utilized to determine a particle structure boundary sudden change position, and the particle structure edge is deduced according to a boundary trend continuous behavior. The method comprises the following steps: accurately establishing a closed structure path, identifying an adhesion region, carrying out decoupling division on particles by using included angle range and direction consistency indexes, determining the boundary contour of the particles, rapidly and accurately marking a structure dissimilatory aggregation region through the area pixel number and gray gradient characteristics of a structure unit, and improving the particle structure identification precision. And the misjudgment risk caused by particle overlapping and adhesion is reduced.

A full-plastic trigger spray pump, wherein a lower part of the pump body is connected to a locking cover, a liquid spray channel is in the pump body, a nozzle is provided at an outlet of the liquid spray channel, a liquid outlet channel is communicated with the liquid spray channel, a liquid guide chamber is provided on the liquid outlet channel and a liquid inlet channel, the upper part of the liquid guide chamber is in communication with the liquid outlet channel by a normally open port, a pumping piston is in the liquid guide chamber, a trigger capable of driving the pumping piston is hinged onto the pump body, an elastic arm capable of driving the trigger is provided thereon, a lateral one-way valve adapted to open during the return movement of the pumping piston enables the liquid guide chamber to communicate with the liquid inlet channel.

Server baskets for use in immersion tanks are described herein. In one example, a server basket may be configured to receive a computer server. The server basket may include a cable management housing that has one or more data and power ports. The cable management housing may be located at or proximate to a top portion of the server basket. When the server basket is immersed in dielectric fluid in an immersion tank, the cable management housing may be located above a liquid level, thereby providing convenient access to the one or more ports. A signal repeater may be located in the cable management housing and above the liquid level. The server basket may include support arms that can be deployed when removing the server from the dielectric fluid. The support arms may enable drip drying and fluid recapture by the immersion tank. Other examples may be claimed or described.

The invention discloses an autonomous inspection and homeward voyage control method and system for a blow-off pipeline robot, belongs to the technical field of intelligent pipeline detection and robot control, and aims to solve the technical problems of how to realize a stable, reliable and continuous clogging exploration task in a complex blow-off pipeline environment and realize safe self-rescue in an abnormal state. According to the technical scheme, the method comprises the following steps: data dimension reduction: receiving high-dimensional environment and motion state data from a multi-modal sensor, performing real-time dimension reduction on the high-dimensional environment and motion state data by adopting a dynamic principal component analysis method, extracting key features of state information of a robot and internal state information of a pipeline, and constructing a low-dimensional state vector; performing deep reinforcement learning control based on a liquid neural network: modeling dynamic environment state change by using the liquid neural network, and realizing path planning and control in combination with a deep deterministic strategy gradient algorithm; tracing the track; and a return flight strategy based on a graph attention network and reinforcement learning.

The present application discloses a cell culture unit, device, application and culture method, wherein the cell culture unit includes a substrate, a culture chamber, a liquid storage chamber and a flow channel chamber are formed in the substrate, and the culture chamber and the liquid storage chamber have an opening at the top of the substrate, and the two ends of the flow channel chamber are connected to the culture chamber and the liquid storage chamber respectively, and the flow channel chamber includes a first port portion connected to the liquid storage chamber and a second port portion connected to the culture chamber, and the flow channel chamber is also formed with a constriction portion between the first port portion and the second port portion, and the opening area of ​​the constriction portion is smaller than the opening area of ​​the first port portion and the second port portion. The technical solution of the present application can avoid the impact on the biological sample caused by too fast flow rate, resulting in the cells in the liquid gel being dispersed by the culture medium, and increase the time for the culture medium to infiltrate the biological sample to fully infiltrate the biological sample, thereby being able to improve the simulation degree of the cell model finally obtained and improve the success rate of culture.

The invention relates to the technical field of adaptive control, in particular to an AI-based adaptive phase change liquid cooling fault control method and system, and the method comprises the following steps: obtaining the temperature, flow velocity and phase change state data of a cooling liquid, monitoring the phase change time from a liquid state to a gel state under different flow velocities and temperature conditions in real time, calculating the phase change delay time increment of adjacent periods, and calculating the phase change delay time increment of the adjacent periods. And obtaining a phase change delay time change trend analysis result. According to the method, the phase change time of the cooling liquid under different flow velocity and temperature conditions is monitored in real time, the heat exchange behavior of the cooling agent can be predicted more accurately, the descending trend of the cooling capacity has quantitative analysis capacity, and on the basis of construction of the heat absorption rate time sequence and change rate analysis, the abnormal fluctuation degree of the heat absorption rate is combined. And the pump speed, flow distribution and flow paths of the coolant are dynamically adjusted, the heat dissipation requirements under different working conditions can be met, and the cooling scheme can be adaptively optimized according to the running trend.

An immersion cooling system includes a work tank, a buffer tank, and a communication control assembly. The work tank has a work-tank gas-phase region and a work-tank liquid-phase region. The buffer tank has a buffer-tank gas-phase region and a buffer-tank liquid-phase region. The communication control assembly includes a first pipeline, a first pump, a second pipeline, and a second valve. In response to that the first pump is actuated, through the first pipeline, a fluid of the work-tank liquid-phase region is transported to the buffer-tank liquid-phase region, or a fluid of the buffer-tank liquid-phase region is transported to the work-tank liquid-phase region. In response to that the second valve is actuated, through the second pipeline, the work-tank gas-phase region is selectively in communication with the buffer-tank gas-phase region.

Immersion cooling systems are disclosed. An example immersion cooling system includes an immersion tank including a cooling fluid and a reservoir to contain a recirculated portion of the cooling fluid. The reservoir is separated from the immersion tank by a height to generate a liquid surface height variance between the cooling fluid in the immersion tank and the cooling fluid in the reservoir. A supply conduit is to fluidly couple the immersion tank and the reservoir. The cooling fluid to be provided from the reservoir to the immersion tank via gravity.

The invention relates to a method for optimizing a liquid metal micro-channel radiator. The method comprises the following steps: determining basic parameters for optimizing the radiator; determining boundary conditions of a micro-channel inlet, and establishing a two-dimensional liquid metal micro-channel radiator model; establishing a topological optimization objective function and constraint conditions according to thermal control index requirements; carrying out material interpolation function definition on the reverse permeability coefficient of the porous medium, the heat conduction coefficient of the material and the specific heat coefficient of the material; carrying out iterative calculation on the two-dimensional liquid metal micro-channel radiator model to obtain an optimized radiator channel configuration; constructing a three-dimensional model of the liquid metal radiator flow channel; comparing an analysis result of the three-dimensional finite element model of the radiator with a heat dissipation index and a flow index, and judging whether a working requirement is met or not; and when the working requirements are met, the liquid metal micro-channel radiator with the most effective corresponding heat dissipation capability is obtained. According to the invention, the power consumption of an external driving system can be reduced, and the corresponding optimal liquid metal micro-channel radiator structure can be obtained.

The invention discloses a preparation method of a rapidly-formed Janus structure stretchable electrode, an electrode material system is a material system composed of thermoplastic polyurethane (TPU), liquid metal particles and N, N-dimethylformamide (DMF), and electrode forming comprises two self-assembly processes. In the first self-assembly process, the liquid metal particles rapidly settle to form a Janus structure under the action of gravity; and a second self-assembly process: quickly dissolving DMF in water under the action of phase separation, and quickly separating out TPU to form a porous structure. The whole electrode forming process is about 15 seconds, which is the fastest stretchable electrode film forming process so far. The electrode has high conductivity, high stretchability and insensitivity to tensile strain, the electrode can spontaneously form a Janus structure with one conductive side and the other insulated side so as to achieve a self-protection structure for the whole electrode, and the electrode is expected to be applied to the flexible electronic fields of electronic skin, human body information detection, stretchable electronic devices and the like.

The invention provides an agricultural product supply chain traceability data integrity verification method based on machine learning, and belongs to the technical field of agricultural product supply chains. An agricultural product supply chain data acquisition system is established, layering is carried out according to timeliness, a data classification processing framework is constructed, and original data is classified according to complexity; establishing an agricultural product damage prediction model to identify a vulnerable link, and designing a double-layer game optimization model consisting of an upper layer model taking data integrity maximization as a target and a lower layer model taking calculation efficiency optimization as a target, a liquid neural network is adopted to construct a data fusion verification model, liquid neuron state parameters are dynamically adjusted according to the number of supply chain nodes, data timeliness and other parameters, the parameter range of each evaluation matrix is determined through a small-scale verification experiment, and finally integrity verification is executed to calculate and output a comprehensive score result. The technical problems that the agricultural product supply chain traceability data integrity verification accuracy is not high and the calculation efficiency is low are solved.

The invention provides a water working medium quasi-saturated compression high-temperature heat pump system based on an ejector, and belongs to the field of compression heat pumps. The problems that after an existing compression system flows through a throttling valve, the superheat degree of steam exhaust is large due to high-temperature lift compression, and the loss of available energy in the throttling process from condensate to a two-phase region is too large are solved. A multi-stage spraying atomization structure is adopted, a micro-nano liquid drop mist flow with the particle size controllable to be 50-200 nm and the liquid mass fraction adjustable to be 5%-10% is formed before compression, the airflow humidity regulation and control precision is remarkably improved, the quasi-saturation compression process is matched, and the thermal matching performance and the energy efficiency level of a system are effectively improved; a main flow inlet of the jet atomizer is changed into a compressor outlet from a condenser outlet, so that the response speed is increased, and meanwhile the jet atomizer is suitable for a complex variable-working-condition system; or single-stage compression is optimized into a two-stage compression form, so that higher heating temperature and more stable system operation are realized; or liquid from a lower-pressure position is injected, so that the injection capacity is improved.

The invention discloses a hydropower station microcomputer operation and maintenance system and method based on deep learning. The method comprises the following steps: S1, preprocessing to obtain standardized operation data; s2, extracting a hyper-parameter initial value of the improved liquid time constant network framework; s3, extracting a candidate feature set of the standardized operation data to construct a mayfly naiad algorithm search environment, and operating a mayfly naiad algorithm to obtain an optimal feature subset and an optimal hyper-parameter set; s4, training the improved liquid state time constant network model by adopting the standardized operation data to obtain a trained improved liquid state time constant network model; and S5, deploying the trained improved liquid state time constant network model to an online reasoning environment, executing anomaly detection on real-time operation data of the microcomputer protection system of the hydropower station updated in real time, and outputting an anomaly detection result. According to the system, the severity of the fault can be determined while the fault is identified, so that an operator on duty or a system background can quickly make a response strategy.

A multi-scale coupling analysis method for a high-temperature liquid metal and jet water interaction system mainly comprises the following steps as shown in an attached drawing: 1, carrying out geometric modeling and grid division on a liquid metal pool type space, jet water and other pipeline systems, and setting a valve action sequence; 2, setting a coupling boundary, and establishing an IPC communication pipeline; 3, performing steady-state calculation, and mutually providing initial boundaries for overall initialization; 4, a system program is imported into the boundary of the two-dimensional fluid domain, the fluid state in the pipeline under the decompression heating condition is calculated, and boundary information in a result is written into the IPC pipeline; 5, the two-dimensional fluid program reads source items from the system program, thermodynamic parameter distribution of the molten pool is calculated, and boundary information is provided; and 6, judging the action condition of the component at the current moment and repeating the step 4 and the step 5 until the calculation time reaches the end moment. The method provided by the invention can simulate the whole interaction process of liquid metal and jet water and embody the influence of flash evaporation in a critical flow jet boundary and an injection pipeline on jet.

A method for cooling an information technology system, comprising: receiving a flow of at least a subcooled liquid phase change refrigerant; cooling the information technology system by sensible heat transfer in an evaporator, to produce at least gaseous refrigerant; and exchanging heat from the at least gaseous refrigerant from the evaporator to the subcooled liquid phase change refrigerant. The phase change refrigerant may be a hydrofluorocarbon ether having a boiling point of 30-65° C. at 1-12 bar.

The invention discloses a heavy duty gas turbine compressor scale deposition detection method based on a liquid neural network, and relates to the technical field of anomaly detection, and the method comprises the following steps: collecting operation data for correlation analysis; the selected feature data is preprocessed; extracting time characteristics of the operation parameters of the gas compressor; calculating weights of interaction among the parameters, and outputting spatial correlation; constructing a space-time fusion model, and inputting normal operation data to train the model; and a parameter prediction sequence is output, a multi-dimensional residual vector of a predicted value and an actual value is calculated, and by constructing a dynamic threshold function, when the model converges and residual distribution deviates from a normal working condition confidence interval, a gas compressor fouling anomaly detection result is output. According to the invention, through the dynamic topological structure of the liquid neural network and in combination with a spatial-temporal characteristic collaborative mining mechanism, quantitative evaluation of the scale deposition degree of the gas compressor is realized, and the precision and robustness of gas compressor scale deposition anomaly detection are improved.

The invention discloses an intelligent fault diagnosis method for a thruster of an on-orbit service aircraft, and the method comprises the following steps: building a mathematical model related to the control of the aircraft, and configuring the thruster of the aircraft; making a fault data set, wherein the fault data set comprises the output of a control system under various fault states in the rendezvous and docking process of the aircraft; a liquid neural network is constructed and trained, the liquid neural network comprises an input layer, a liquid layer and a classifier, and the input layer is used for integrating original time sequence data of a control system of the aircraft into a unified input vector; the liquid layer comprises N neurons and is used for carrying out dynamic modeling and time sequence feature extraction on an input sequence; the classifier is used for mapping to a fault category probability through an output layer; the real-time data output by the control system of the aircraft is obtained, the pre-trained liquid neural network is applied to perform fault diagnosis, and the method can perform fault diagnosis in real time.

The invention relates to the technical field of liquid cooling heat dissipation, in particular to a liquid cooling distribution device, liquid cooling heat dissipation equipment and a liquid cooling control method. The liquid cooling distribution device comprises a main liquid supply collecting pipe, a flow adjusting assembly, a multi-channel liquid distribution assembly, a plurality of cooling medium conveying pipelines and a central control unit, a proportioning valve of the flow adjusting assembly is connected into the main liquid supply collecting pipe in parallel, and a liquid distributor of the multi-channel liquid distribution assembly is correspondingly connected with the proportioning valve. A parallel branch of the liquid separator is connected with the liquid outlet node through the reversing valve, and the two ends of the cooling medium conveying pipeline are connected with the liquid outlet node and target heat dissipation equipment respectively; the central control unit achieves accurate distribution and dynamic adjustment of the flow of the cooling liquid by controlling the proportion adjusting valve and the reversing valve, the problem of uneven flow distribution caused by pipeline resistance difference is solved, the flow can be adjusted according to real-time heat loads, and system energy consumption is optimized.

The invention relates to the technical field of optical communication, in particular to a vapor chamber and an optical module. Heat generated by a heat source is absorbed through the lower shell, then heat absorbed by the lower shell is absorbed by the heat dissipation working medium in the steam cavity, the heat dissipation working medium is changed into a gas state from a liquid state after absorbing heat, and the gas-state heat dissipation working medium is adsorbed on the inner surface of the upper shell, is cooled into a liquid state again and returns to the bottom of the steam cavity again. Therefore, heat dissipation of a heat source in the optical module is realized. The interface contact thermal resistances are only between the heat source and the lower shell and between the upper shell and the external environment, the number of the interface contact thermal resistances on a heat transfer path is greatly reduced, the uniform temperature plate is arranged as a part of the optical module, an integrated enhanced heat dissipation structure is formed, the interface contact thermal resistances caused by split design are prevented from being increased, and the heat dissipation efficiency is improved. The heat dissipation performance of the whole optical module is improved, and the heat dissipation requirement of the high-speed optical module is met.

The invention discloses an embedded liquid metal microstructure electrode, a flexible pressure sensor array and a preparation method. The technical problems that an existing flexible pressure sensor array is low in sensitivity, large in crosstalk and the like are solved. Wherein the embedded liquid metal microstructure electrode comprises a first flexible substrate, a first liquid metal layer and a first packaging layer; the lower surface of the first flexible substrate is a plane, and a plurality of micro-cone structures arranged in an array are uniformly distributed on the upper surface of the first flexible substrate; the cone part of each micro-cone structure faces upwards and is flush with the upper surface of the first flexible substrate; the first liquid metal layer covers the upper surface of the first flexible substrate and all the micro-cone structures; the first packaging layer covers one surface, far away from the upper surface of the first flexible substrate, of the first liquid metal layer; meanwhile, the invention further provides a preparation method of the microstructure electrode, a flexible pressure sensor array based on the microstructure electrode and a preparation method of the flexible pressure sensor array, and the flexible pressure sensor array is high in sensitivity and low in crosstalk.

Embodiments of the present disclosure include apparatuses and methods for cooling an electric wheel controller are disclosed. Embodiments include an integrated circuit that controls the rotation of a wheel immersed in liquid coolant. During operation the temperature of the integrated circuit increases and the liquid coolant absorbs heat form the integrated circuit. The heated liquid coolant can then transfer heat to a housing that houses the integrated circuit and liquid coolant. In some embodiments the liquid coolant reaches temperatures that result in the liquid coolant transitioning to a gas and / or vapor. The gas and / or vapor coolant can move to portions of the housing with no liquid and transfer heat to the housing. The gas and / or vapor coolant can cool to a liquid state and move back to the pool of liquid coolant. In some embodiments a heat sink with optional fins can be soldered to the integrated circuit.

The invention belongs to the technical field of refrigeration, and particularly relates to a gas-liquid separator with an auxiliary heating function, which comprises a separation box, and the top of the separation box is provided with a gas inlet pipe and an exhaust assembly; the exhaust assembly comprises a main air outlet pipe and a connecting sleeve, the main air outlet pipe is connected with the oil return assembly through the connecting sleeve, the oil return assembly comprises an oil return head and a rotating sleeve, and an oil return hole is formed in the oil return head. The oil return holes in the top of the oil return head are sparse and small in hole diameter, and the oil return holes in the bottom of the oil return head are dense and large in hole diameter. Therefore, an oil layer at the layered liquid-state bottom can enter the oil return head more easily through the oil return hole at the bottom of the oil return head, and meanwhile, the small-aperture oil return hole at the top of the oil return head can slow down the liquid-state refrigerant at the layered liquid-state top from entering the oil return head. Liquid refrigerants can be prevented from entering the compressor through the oil return head and the main air outlet pipe.

The invention provides a gel-state polymer electrolyte as well as a preparation method and application thereof, and belongs to the field of batteries. The gel-state polymer electrolyte provided by the invention comprises the following preparation raw materials: a polar organic solvent, a lithium salt, a lithium salt additive, a liquid flame retardant, a liquid monomer and an initiator, the polar organic solvent comprises 1, 3-dioxolame and ethylene glycol dimethyl ether; the dosage ratio of the lithium salt to the polar organic solvent is 1 mmol: (0.5-2) mL; the mass of the lithium salt additive is 1.5-5% of the total mass of the lithium salt and the polar organic solvent; the volume of the liquid flame retardant is 10-20% of the volume of the polar organic solvent; the volume of the liquid monomer is 10-20% of the volume of the polar organic solvent; the mass of the initiator is 0.5-2% of the total mass of the lithium salt, the polar organic solvent and the monomer. And Li < + > in the lithium salt is released after the type of the solvent is adjusted, so that the Li < + > transference number and the ionic conductivity are improved.

The invention relates to a liquid metal reconfigurable metasurface reflection unit and a manufacturing method thereof, and belongs to the technical field of artificial electromagnetic materials. The problems that an existing metasurface reflection unit structure is discrete and limited in regulation state, insufficient in continuous adjustment capacity, narrow in adjustment bandwidth and small in reflection phase shift range are solved. Comprising a flexible substrate, a flexible film, a flexible upper cover plate, a driving control structure and a grounding plate, the flexible upper cover plate, the flexible thin film, the flexible substrate, the grounding plate and the driving control structure are stacked in sequence; a micro-channel array structure and a liquid injection port are arranged on the flexible substrate, the micro-channel array structure comprises a plurality of unit micro-channel structures, the plurality of unit micro-channel structures are communicated through through holes, and each unit micro-channel structure is of a bent cross-shaped structure and comprises a liquid storage tank and four semicircular cross arm channels. The metasurface reflection unit is continuous and reconfigurable in structure and has the advantages of being insensitive to polarization and incident angle and large in reflection phase shift range.