Radiator thermal efficiency full-detection test system
By constructing a five-module closed-loop system, efficient and comprehensive testing of radiator performance is achieved, solving the problem that existing technologies cannot effectively test radiator thermal efficiency, and providing performance evaluation and optimization suggestions throughout the entire life cycle.
Patent Information
- Application Number
- CN202511132374.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-13
- Publication Date
- 2025-10-17
AI Technical Summary
Existing radiator thermal performance testing systems cannot effectively detect the core performance parameters of radiators, including heat dissipation, heat transfer coefficient, thermal resistance and environmental adaptability. They cannot simulate the changes in thermal load under actual working conditions and lack high-precision data recording and comprehensive evaluation.
A five-module closed-loop system is constructed using a heat source simulation module, an environmental simulation module, an energy efficiency cycle module, a measurement and control analysis module, and a digital twin module. This system enables dynamic contact compensation, multi-modal operating condition simulation, and intelligent energy scheduling. Through high-precision sensors and artificial intelligence optimization, a comprehensive performance evaluation report is generated.
It enables efficient and comprehensive testing of heat sink performance, breaking through the limitations of traditional single-point testing, providing full life-cycle performance evaluation of high-density electronic heat sinks, and improving testing efficiency and accuracy.
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Figure CN120800857A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of heat sinks, and particularly relates to a heat sink thermal efficiency full-detection test system. BACKGROUND
[0002] A heat sink is a passive or active thermal management device based on the principle of heat conduction. It is a physical structure made of high thermal conductivity materials such as metals. It transfers the redundant heat generated by heat sources in electronic devices, mechanical systems or heating systems to air or liquid cooling media through optimized design of finned surfaces with high surface area, and ultimately realizes the key heat exchange component of temperature control target. Its efficiency depends on the synergistic effect of three elements: material thermal conductivity, contact thermal resistance and convective heat transfer efficiency.
[0003] After the production of the heat sink is completed, it needs to be detected to ensure that its performance, safety and reliability meet the expected requirements; for example, detection can prevent overheating of equipment from causing fire or electric shock hazards by verifying that the heat source temperature is within a safe threshold; or testing the efficiency of the heat sink, such as heat dissipation and heat transfer coefficient, to ensure that heat can be effectively transferred.
[0004] Therefore, the Chinese patent document with publication number CN215492485U discloses an automobile heat sink product detection table, which includes a fixing module, the fixing module includes a detection table, a first clamping piece and a second clamping piece, a containing groove is arranged on the detection table, the first clamping piece and the second clamping piece are symmetrically arranged in the containing groove and have the same structure; and a detection module, the detection module includes a heat dissipation piece, a timing piece and a heating sheet, the heat dissipation piece and the heating sheet are arranged in the containing groove, the timing piece is arranged on the detection table, the timing piece is connected with the heating sheet, and the heating sheet is connected with the heat dissipation piece; the technical scheme disclosed by the patent document can detect how long the heat dissipation effect of the heat sink can be maintained under high temperature for a long time, so as to obtain a complete efficiency detection of the heat sink, and the heat sink will not have functional deviation when in use.
[0005] However, the disclosed automobile radiator product detection station still has the technical problem of being unable to detect the thermal efficiency of the radiator. Specifically, when detecting the thermal efficiency of the radiator, a standardized detection platform needs to be built based on the principles of thermodynamics and fluid mechanics, so that the core performance parameters of the radiator, including the heat dissipation, heat transfer coefficient, thermal resistance, and environmental adaptability, can be quantitatively evaluated through the integrated temperature control module, flow monitoring unit, and data acquisition system. The thermal efficiency test system can use a combination of steady-state and transient test methods to simulate the thermal load changes under actual working conditions, and record the heat medium flow, inlet and outlet temperature difference, and surface temperature distribution in real time using high-precision sensors, ultimately generating a full-dimensional detection report covering thermal performance, structural reliability, and energy efficiency ratio, providing data support for radiator design optimization and quality certification. Therefore, there is an urgent need for a high-efficiency detection system that can detect the thermal efficiency of the radiator. SUMMARY
[0006] Therefore, it is necessary to provide a radiator thermal efficiency full-detection test system to improve the detection efficiency of the radiator thermal efficiency.
[0007] A radiator thermal efficiency full-detection test system includes a heat source simulation module, an environment simulation module, an energy efficiency circulation module, a measurement and control analysis module, and a digital twin module. The heat source simulation module is responsible for accurately simulating the heating behavior of electronic devices and achieving dynamic compensation of the contact thermal resistance of the radiator. The heat source simulation module receives power and temperature instructions from the measurement and control analysis module and feeds back contact pressure and temperature field data to the measurement and control analysis module. At the same time, it relies on the energy efficiency circulation module to provide cooling liquid. The environment simulation module is used to build a stable temperature and humidity environment and isolate external interference. The environment simulation module and the energy efficiency circulation module share a cooling water circuit, transmit 19-point temperature and humidity data to the measurement and control analysis module, and accept air supply parameter regulation and control from the digital twin module. The energy efficiency circulation module is used for multi-energy collaborative supply and energy gradient utilization. The energy efficiency circulation module provides cold and hot medium water for the heat source simulation module, delivers constant temperature cooling water to the environment simulation module, and adjusts the valve opening degree under the control of the measurement and control analysis module. The measurement and control analysis module undertakes the tasks of data collection and performance analysis throughout the process. The measurement and control analysis module controls the actuators of all other modules, transmits measured data to the digital twin module, and receives temperature field feedback from the environment simulation module. The digital twin module realizes virtual-real interactive simulation and artificial intelligence optimization. The digital twin module receives test data from the measurement and control analysis module, generates an optimal temperature control curve for the environment simulation module, and outputs performance optimization suggestions to the end user.
[0008] Specifically, the heat source simulation module has an adaptive hot plate unit and a cold-hot dual-mode unit. The adaptive hot plate unit integrates a piezoelectric ceramic array with a resolution of plus or minus 0.1 Newton, an S-shaped embedded heating wire with a power range of 0 to 500 watts, and an infrared thermal imager with a spatial resolution of 5 microns. The cold-hot dual-mode unit includes a micro-channel liquid cooling plate with a cross-section of 0.5 mm x 1 mm and a semiconductor refrigeration sheet with a temperature control range of -20 to 100 degrees Celsius.
[0009] Specifically, the environmental simulation module is composed of a water-cooled sandwich unit with a polyurethane stainless steel color steel plate hexahedral structure, an internal integrated wave-shaped water channel with a cross-sectional area of 150 square millimeters and a flow range of 0.1 to 10 liters per minute, and an intelligent air supply unit containing an axial flow fan with a wind volume range of 0 to 500 cubic meters per hour and a humidity generator with a humidity range of 10 to 90 percent relative humidity.
[0010] Specifically, the energy efficiency cycle module has a three-stage energy unit and a cold-heat recovery unit. The three-stage energy unit includes a vacuum tube solar heat collector with an area not less than 15 square meters, a ground source heat pump unit with a refrigerating capacity of 10 kilowatts, and a phase change heat storage tank with a capacity of 200 liters using paraffin with a melting point of 58 degrees Celsius. The cold-heat recovery unit includes a plate heat exchanger with a waste heat recovery rate of not less than 60 percent and an absorption type refrigeration machine with a refrigeration performance coefficient of not less than 0.7.
[0011] Specifically, the measurement and control analysis module has a high-speed acquisition unit and an intelligent analysis unit. The high-speed acquisition unit includes a distributed edge node with a sampling rate of 100,000 points per second and a high-precision sensor with a Pt100 accuracy of plus or minus 0.1 degrees Celsius and an ultrasonic flowmeter with an accuracy of plus or minus 0.2 percent. The intelligent analysis unit includes a QTT transient algorithm that can predict steady-state thermal resistance within 30 seconds and a latent heat calculation model based on the standard enthalpy difference method of JB2293-78.
[0012] Specifically, the three-dimensional modeling unit of the digital twin module includes a parameterized radiator model library and supports the import of special-shaped structures, and has an ANSYS Fluent real-time coupling interface. The AI decision unit integrates an LSTM operating condition prediction algorithm with a prediction error of not more than 3 percent and an augmented reality visualization engine with a hotspot positioning accuracy of plus or minus 1 millimeter.
[0013] Specifically, the heat source simulation module adds a phase change material thermal buffer layer to absorb transient thermal shock during millisecond-level step heating, reducing the data noise of the infrared thermal imager. Or integrate a multi-physics field coupling simulation unit, automatically calibrate the piezoelectric ceramic array pressure distribution by comparing the infrared thermal imaging data with the COMSOL simulation results in real time.
[0014] Specifically, the environment simulation module adds a salt spray injection unit in line with the GB / T10125 standard and a low-pressure cabin that can simulate an altitude of 5000m, or upgrades the intelligent air supply system to a 3D turbulent flow generator that generates controllable vortex through a piezoelectric oscillator to simulate the non-uniform flow field inside the cabinet.
[0015] Specifically, the energy efficiency cycle module adopts a four-order energy synergy architecture, and adds a hydrogen fuel cell backup unit with an output power of 5kW, which can be seamlessly switched when the solar energy / ground source heat pump power supply is interrupted, to ensure 72 hours of continuous testing.
[0016] In summary, the radiator thermal efficiency full test test system includes a heat source simulation module, an environment simulation module, an energy efficiency cycle module, a measurement and control analysis module, and a digital twin module; the heat source simulation module is responsible for accurately simulating the heating behavior of electronic devices and realizing dynamic compensation of the contact thermal resistance of the radiator; the heat source simulation module receives power and temperature instructions from the measurement and control analysis module, and feeds back contact pressure and temperature field data to the measurement and control analysis module, and at the same time, relies on the energy efficiency cycle module to provide cooling liquid; the environment simulation module is used to build a stable temperature and humidity environment and isolate external interference, the environment simulation module and the energy efficiency cycle module share the cooling water circuit, transmit 19-point temperature and humidity data to the measurement and control analysis module, and accept the air supply parameter regulation and control of the digital twin module; the energy efficiency cycle module is used for multi-energy synergy supply and energy cascade utilization, the energy efficiency cycle module provides cold and hot medium water for the heat source simulation module, delivers constant temperature cooling water to the environment simulation module, and adjusts the valve opening degree under the measurement and control analysis module; the measurement and control analysis module undertakes the tasks of data collection and performance analysis in the whole process, controls the actuators such as valves, pumps and heaters of all other modules, transmits measured data to the digital twin module, and receives temperature field feedback from the environment simulation module; the digital twin module realizes virtual-real interactive simulation and artificial intelligence optimization; the digital twin module receives test data from the measurement and control analysis module, generates the optimal temperature control curve for the environment simulation module, and outputs performance optimization suggestions to the end user. The radiator thermal efficiency full test test system can realize the "dynamic contact compensation + multi-modal working condition simulation + energy intelligent scheduling" three-in-one capability through the heat source-environment-energy-measurement and control-digital body five-module closed loop, break through the limitation of traditional single-point test, and provide high-efficiency performance evaluation for high-density electronic radiators throughout the life cycle; therefore, the radiator thermal efficiency full test test system solves the technical problem of how to improve the detection efficiency of the thermal efficiency of the radiator. BRIEF DESCRIPTION OF DRAWINGS
[0017] Figure 1 The figure is a schematic diagram of the architecture of the radiator thermal efficiency full test test system of the application; Figure 2 The figure is a flow chart of the working process of the radiator thermal efficiency full test test system of the application; Figure 3The AI-driven workflow diagram of the heat dissipation radiator thermal performance full test system; Figure 4 The operation algorithm flow diagram of the intelligent analysis unit of the heat dissipation radiator thermal performance full test system. DETAILED DESCRIPTION
[0018] In order to make the above objectives, characteristics and advantages of the present application more apparent, specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. In the following description, a large number of specific details are set forth in order to provide a comprehensive understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without departing from the scope of the present application, so the present application is not limited to the specific embodiments disclosed below.
[0019] In the description of the present application, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the purpose of facilitating the description of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.
[0020] In addition, the terms "first", "second" are only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, such as two, three, etc., unless otherwise explicitly specified and limited.
[0021] In the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection", "fixing" and the like should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements, unless otherwise explicitly limited. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.
[0022] In the present disclosure, unless specifically stated and limited otherwise, a first feature "on" or "under" a second feature can be directly on the second feature, or indirectly on the second feature with one or more intervening features. Also, a first feature "over" or "above" or "on top of" a second feature can be directly above or obliquely above the second feature, or can simply mean that the first feature is at a higher level than the second feature. A first feature "under" or "below" or "on the bottom of" a second feature can be directly below or obliquely below the second feature, or can simply mean that the first feature is at a lower level than the second feature.
[0023] It is noted that when an element is referred to as being "on" or "connected to" another element, it can be directly on the other element or intervening elements can also be present. In addition, the term "connected" as used herein means the element is either directly connected to the other element or an intervening element can be present. As used herein, the terms "vertical", "horizontal", "up", "down", "left", "right", and the like are merely used for the purpose of illustration and are not intended to be limiting.
[0024] Specifically, the heat dissipation device thermal performance full test system comprises a heat source simulation module, an environment simulation module, an energy efficiency circulation module, a measurement and control analysis module, and a digital twin module; the heat source simulation module is responsible for accurately simulating the heat generation behavior of electronic devices and realizing dynamic compensation of the contact thermal resistance of the heat dissipation device; the heat source simulation module receives power and temperature instructions from the measurement and control analysis module, and feeds back contact pressure and temperature field data to the measurement and control analysis module, and at the same time, relies on the energy efficiency circulation module to provide cooling liquid; the environment simulation module is used to build a stable temperature and humidity environment and isolate external interference, the environment simulation module and the energy efficiency circulation module share a cooling water circuit, transmit 19-point temperature and humidity data to the measurement and control analysis module, and accept air supply parameter regulation and control from the digital twin module; the energy efficiency circulation module is used for multi-energy collaborative supply and energy gradient utilization, the energy efficiency circulation module provides cold and hot medium water for the heat source simulation module, delivers constant-temperature cooling water to the environment simulation module, and adjusts the valve opening degree under the measurement and control analysis module; the measurement and control analysis module undertakes the tasks of data collection and performance analysis in the whole process, controls the actuators such as valves, pumps and heaters of all other modules, transmits measured data to the digital twin module, and receives temperature field feedback from the environment simulation module; the digital twin module realizes virtual-real interactive simulation and artificial intelligence optimization; the digital twin module receives test data from the measurement and control analysis module, generates an optimal temperature control curve for the environment simulation module, and outputs performance optimization suggestions to the end user.
[0025] Specifically, in the heat dissipation device thermal performance full test system, five core functional modules, namely, a heat source simulation module, an environment simulation module, an energy efficiency circulation module, a measurement and control analysis module, and a digital twin module, work cooperatively; the heat source simulation module is responsible for accurately simulating the heating behavior of electronic devices and realizing dynamic compensation of the contact thermal resistance of the heat dissipation device; the core of the heat source simulation module includes a self-adaptive hot plate unit, which integrates a piezoelectric ceramic array with a resolution of plus or minus 0.1 Newton, an S-shaped embedded heating wire with a power range of 0 to 500 watts, and an infrared thermal imager with a spatial resolution of 5 microns; and a cold and hot dual-mode unit, which includes a micro-channel liquid cooling plate with a cross section of 0.5 mm by 1 mm and a semiconductor refrigeration sheet with a temperature control range of minus 20 degrees Celsius to 100 degrees Celsius. The module receives power and temperature instructions from the measurement and control analysis module and feeds back contact pressure and temperature field data to it, while relying on the energy efficiency circulation module to provide cooling liquid.
[0026] Specifically, in the heat dissipation device thermal performance full test system, the environment simulation module aims to build a stable temperature and humidity environment and isolate external interference; it is composed of a water-cooled sandwich unit with a polyurethane stainless steel color steel plate hexahedral structure, an internal integrated wave-shaped water channel with a cross-sectional area of 150 square millimeters and a flow range of 0.1 to 10 liters per minute, and an intelligent air supply unit including an axial flow fan with a wind volume range of 0 to 500 cubic meters per hour and a humidity generator with a humidity range of 10 to 90 percent relative humidity. This module shares the cooling water circuit with the energy efficiency circulation module, transmits 19-point temperature and humidity data to the measurement and control analysis module, and accepts the air supply parameter regulation and control of the digital twin module.
[0027] Specifically, in the heat dissipation device thermal performance full test system, the energy efficiency circulation module focuses on multi-energy collaborative supply and energy cascade utilization. Its core is a three-stage energy unit, which includes a vacuum tube solar collector with an area not less than 15 square meters, a ground source heat pump unit with a refrigerating capacity of 10 kilowatts, and a phase change heat storage tank with a capacity of 200 liters using paraffin with a melting point of 58 degrees Celsius; and a cold and heat recovery unit, which includes a plate heat exchanger with a waste heat recovery rate of not less than 60 percent and an absorption type refrigeration machine with a refrigeration performance coefficient of not less than 0.7. The module provides cold and hot medium water for the heat source simulation module, delivers constant temperature cooling water to the environment simulation module, and adjusts the valve opening degree under the control of the measurement and control analysis module.
[0028] Specifically, in the heat efficiency full test system of the radiator, the measurement and control analysis module undertakes the tasks of full-process data collection and performance analysis. It integrates a high-speed collection unit, including a distributed edge node with a sampling rate of up to 100,000 points per second and a high-precision sensor with a Pt100 precision of plus or minus 0.1 degrees Celsius and an ultrasonic flowmeter with a precision of plus or minus 0.2 percent; and an intelligent analysis unit, including a QTT transient algorithm that can predict steady-state thermal resistance in 30 seconds and a latent heat calculation model based on the standard enthalpy difference method of JB2293-78. The module controls the actuators of all other modules such as valves, pumps and heaters, delivers the measured data to the digital twin module, and receives the temperature field feedback from the environment simulation module.
[0029] Specifically, in the heat efficiency full test system of the radiator, the digital twin module realizes virtual-real interactive simulation and artificial intelligence optimization. Its three-dimensional modeling unit includes a parameterized radiator model library and supports the import of special-shaped structures, and has an ANSYS Fluent real-time coupling interface; the AI decision unit integrates an LSTM working condition prediction algorithm with a prediction error of not more than 3 percent and an augmented reality visualization engine with a hotspot positioning accuracy of plus or minus 1 millimeter. The module receives the test data of the measurement and control analysis module, generates the optimal temperature control curve for the environment simulation module, and outputs performance optimization suggestions to the end user.
[0030] Further, please refer to Figure 2 As shown in Figure 2 , the working process of the heat efficiency full test system of the radiator is as follows: Step 1: Instruction triggering, the measurement and control module issues a millisecond-level step heating instruction to trigger transient testing; Step 2: Data feedback, the heat source module returns high-density temperature rise curves through embedded sensors; Step 3: Intelligent prediction, the Q.T.T. algorithm completes steady-state thermal resistance prediction within 30 seconds; Step 4: Environment optimization, the digital twin module adjusts the air supply parameters of the environmental chamber in real time; Step 5: Energy coordination, the energy efficiency module supplies refrigerant water on demand to support variable working condition testing; Step 6: Visual output, AR cloud map visually displays the surface temperature field distribution of the radiator.
[0031] Specifically, the heat dissipation device thermal efficiency full test system has a double closed loop control, that is, steps 1 to 2 constitute a transient test loop, and steps 3 to 4 constitute an environment optimization loop. Moreover, the heat dissipation device thermal efficiency full test system also has an energy efficiency linkage mechanism, that is, the timing of the heat source instruction in step 1 is synchronized with the refrigerant water supply in step 5. In addition, the heat dissipation device thermal efficiency full test system also has an intelligent decision-making chain, that is, a complete decision-making closed loop is formed through the measured data, AI prediction and AR visualization.
[0032] Specifically, the heat dissipation device thermal efficiency full test system of the present application is compared with the traditional heat dissipation device thermal efficiency test system, and the technical effects of the present application are shown in Table 1 as follows: Table 1: Comparison of technical indicators between the present application and the traditional scheme
[0033] Therefore, the heat dissipation device thermal efficiency full test system can break through the limitation of traditional single-point testing through the heat source-environment-energy-measurement and control-digital body five-module closed loop, realize the "dynamic contact compensation + multi-modal working condition simulation + energy intelligent scheduling" three-in-one capability, and provide full life cycle performance evaluation for high-density electronic heat dissipation devices.
[0034] Further, in a specific embodiment, the heat dissipation device thermal efficiency full test system of the present application respectively strengthens the heat source simulation module, expands the environment simulation module and optimizes the energy efficiency cycle module, specifically as follows: Specifically, the heat source simulation module is strengthened, that is, the dynamic thermal resistance can be optimized and compensated, such as adding a phase change material PCM heat buffer layer, such as paraffin / metal organic framework material, which absorbs instantaneous thermal shock when heating in millisecond level, reduces the data noise of the infrared thermal imager, or integrates a multi-physical field coupling simulation unit: by comparing the infrared thermal imaging data with the COMSOL simulation results in real time, the piezoelectric ceramic array pressure distribution is automatically calibrated, thereby the accuracy can be improved to ± 0.05N.
[0035] Specifically, the environment simulation module is expanded, that is, the simulation capability of extreme working conditions is increased, such as adding a salt spray injection unit conforming to the GB / T10125 standard and a low air pressure chamber that can simulate an altitude of 5000m, supporting the reliability test of the heat dissipation device in the corrosive / high altitude scene. Or the intelligent air supply system can be upgraded to a 3D turbulent flow generator: a controllable vortex is generated by a piezoelectric oscillator to simulate the non-uniform flow field inside the cabinet, and the adjustment range of the turbulent intensity is 5%-40%.
[0036] Specifically, the energy efficiency cycle module is optimized, that is, a fourth-order energy collaborative architecture is adopted, such as adding a hydrogen fuel cell backup unit with an output power of 5kW, which can be seamlessly switched when the solar / ground source heat pump power supply is interrupted, ensuring 72 hours of continuous testing. Or use a magnetic suspension variable frequency water pump: the flow control accuracy is improved from ±2% to ±0.5%, and the refrigerant water supply response time is shortened to 50ms.
[0037] Further, please continue to refer to Figure 3 The heat dissipation radiator thermal efficiency full test system further discloses an intelligent test protocol generation system, which is a test process based on AI driving, as shown in Figure 3 , Step 1: input radiator parameters User / system submits radiator key parameters: Structural parameters: fin density (FPI), substrate thickness, microchannel cross-sectional size; Material parameters: thermal conductivity (W / mK), specific heat capacity (J / kgK); Working condition requirements: target thermal load (W), maximum allowable temperature rise (ΔT); Technical implementation: automatically extract parameters through API interface or CAD model analysis; Step 2: generate initial test plan Digital twin module performs operations: Call parameterized model library to match similar radiator historical data Generate initial test parameters based on ANSYS Fluent, such as: initial_plan={ "heating_power":200W,# according to thermal load calculation "env_temp":45℃,# according to material thermal conductivity "sampling_rate":50kHz# according to microchannel size } Output: JSON file containing step heating curve, environment chamber temperature and humidity set value Step 3: execute pre-test Test control module links devices: Environment module: start axial flow fan, set wind speed to 3m / s, and humidity generator, set to 50%RH; Duration: strictly controlled within 10 seconds to avoid invalid energy consumption; Step 4: collect transient data High-speed acquisition unit captures key data: Time series: acquire temperature field at 0.1ms intervals through infrared thermal imaging; Spatial distribution: 19-point flow / temperature sensor array data; Typical dataset: shape=(100,000,25), 100k time points x 25 sensors; Step 5: AI decision analysis Intelligent analysis unit runs algorithm: as Figure 4 shown; Convergence criteria: predicted thermal resistance fluctuation < ±1% (3 consecutive iterations); Step 6: Convergence condition determination Logical branching: If converged: generate formal test protocol, including precise power steps, sampling point distribution; Example output: {"stage_power": [50W, 150W, 300W], "duration": [120s, 180s, 240s]}; If not converged: dynamically adjust parameters: Heating curve: adjust step amplitude (e.g. 200W→220W) or ramp rate (1ms→0.8ms); Environmental parameters: optimize air supply angle (±15° deflection) or humidity (±5% RH adjustment); Step 7: Closed-loop optimization iteration Trigger actions when not converged: Feedback adjusted parameters to control module Re-execute pre-test, i.e. return to step 3; Termination condition: reach convergence or maximum iteration number, e.g. default 5 times.
[0038] Specifically, the heat dissipation efficiency full test system of the present application has a dynamic learning mechanism, which updates the digital twin model parameters each iteration, improving the accuracy of the initial scheme. Actual measurement: the error of the 5th iteration scheme is <2%. In addition, the present application also has a resource-saving design, with 10-second pre-test consuming only 0.8% of the energy of formal test, while the traditional scheme requires 30 minutes of preheating. The present application also has a fault fuse protection mechanism, such as real-time monitoring of dT / dt over-limit value, such as >10℃ / s, immediately terminating the test and alarming. As can be seen, the aforementioned process compresses the test scheme development time from the traditional manual estimation of 2 hours to 90 seconds through the closed loop of "parameter input → simulation rehearsal → data-driven decision → dynamic calibration", and the scheme failure probability is reduced to below 1%.
[0039] The AI-driven test process can automatically optimize formal test parameters such as step power value and sampling frequency through pre-test closed-loop iteration, and can reduce invalid test time by 40%. At the same time, the defect diagnosis performance can be enhanced, such as using multi-modal fusion analysis to synchronously process surface temperature field of infrared thermal imaging, ultrasonic flowmeter based on internal flow resistance, and abnormal sound detection data of microphone array, and through graph neural network, composite defects such as micro-channel blockage, positioning accuracy ±0.5mm, virtual welding of welding, recognition rate 99.2%, and material fatigue crack with minimum detection size of 50um can be located.
[0040] Further, the radiator thermal efficiency full test system further discloses an optimization method for the digital twin module, such as adding a real-time simulation engine, embedding a GPU accelerated LatticeBoltzmann algorithm, which can increase the flow-thermal coupling simulation speed by 100 times; or introducing AR operation and maintenance guidance, through HoloLens2 integrated assembly error three-dimensional superposition prompt, which can increase the clamping efficiency by 30%; or adding a predictive maintenance module, which can predict the service life of the pump valve based on LSTM, with an error of ≤2%; so that the equipment downtime can be reduced by 60%.
[0041] Specifically, based on the foregoing improved embodiments of the radiator thermal efficiency full test system of the present application, the technical effects thereof are shown in Table 2 as follows: Table 2: Optimization effect of improved embodiments of the present application
[0042] Specifically, based on the foregoing improved embodiments of the radiator thermal efficiency full test system of the present application, through the "AI pre-test protocol generation + four-order energy network + multi-modal defect diagnosis" triple breakthrough, the radiator test is promoted to the adaptive intelligent stage, at the same time, through the standardized interface and HaaS mode, the commercial added value is significantly improved; finally, the Pareto optimal of test efficiency, precision and energy efficiency is realized.
[0043] In summary, the heat dissipation device thermal efficiency full test system includes a heat source simulation module, an environment simulation module, an energy efficiency circulation module, a measurement and control analysis module, and a digital twin module; the heat source simulation module is responsible for accurately simulating the heating behavior of electronic devices and realizing dynamic compensation of the contact thermal resistance of the heat dissipation device; the heat source simulation module receives power and temperature instructions from the measurement and control analysis module and feeds back contact pressure and temperature field data to the measurement and control analysis module, and at the same time, relies on the energy efficiency circulation module to provide cooling liquid; the environment simulation module is used to build a stable temperature and humidity environment and isolate external interference, the environment simulation module and the energy efficiency circulation module share a cooling water circuit, transmit 19-point temperature and humidity data to the measurement and control analysis module, and accept the air supply parameter regulation and control of the digital twin module; the energy efficiency circulation module is used for multi-energy collaborative supply and energy cascade utilization, the energy efficiency circulation module provides cold and hot medium water for the heat source simulation module, delivers constant temperature cooling water to the environment simulation module, and adjusts the valve opening degree under the measurement and control analysis module; the measurement and control analysis module undertakes the tasks of data collection and performance analysis in the whole process, controls the actuators such as valves, pumps and heaters of all other modules, transmits measured data to the digital twin module, and receives temperature field feedback from the environment simulation module; the digital twin module realizes virtual-real interactive simulation and artificial intelligence optimization; the digital twin module receives test data from the measurement and control analysis module, generates an optimal temperature control curve for the environment simulation module, and outputs performance optimization suggestions to the end user. The heat dissipation device thermal efficiency full test system can break through the limitations of traditional single-point testing through the heat source-environment-energy-measurement and control-digital body five-module closed loop, realize the trinity capability of "dynamic contact compensation + multi-modal working condition simulation + energy intelligent scheduling", and provide efficient performance evaluation for high-density electronic heat dissipation devices throughout the life cycle. Therefore, the heat dissipation device thermal efficiency full test system solves the technical problem of how to improve the detection efficiency of the heat dissipation device thermal efficiency.
[0044] The technical features of the above-described embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described, but as long as the combinations of the technical features do not exist, they should be considered as within the scope of the present disclosure.
[0045] The above-described embodiments only express several embodiments of the present application, and the description is more specific and detailed, but it should not be understood as limiting the scope of the patent. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of the present application. Therefore, the protection scope of the present application patent should be subject to the appended claims.
Claims
1. A heat sink thermal performance full inspection test system, characterized in that: It includes: Heat source simulation module, environmental simulation module, energy efficiency cycle module, measurement and control analysis module, and digital twin module; The heat source simulation module is responsible for accurately simulating the heating behavior of electronic devices and realizing dynamic compensation of the contact thermal resistance of the radiator; the heat source simulation module receives power and temperature instructions from the measurement and control analysis module, and feeds back contact pressure and temperature field data to the measurement and control analysis module. At the same time, it relies on the energy efficiency circulation module to provide coolant; the environmental simulation module is used to build a stable temperature and humidity environment and isolate external interference. The environmental simulation module and the energy efficiency circulation module share the cooling water circuit, transmit 19 points of temperature and humidity data to the measurement and control analysis module, and accept the air supply parameter control of the digital twin module; the energy efficiency circulation module is used for multi-energy coordinated supply and energy ladder The energy efficiency circulation module provides hot and cold water for the heat source simulation module, delivers constant temperature cooling water to the environmental simulation module, and its valve opening is regulated by the measurement, control and analysis module; the measurement, control and analysis module undertakes the full-process data collection and performance analysis tasks, controls the actuators of all other modules, delivers measured data to the digital twin module, and receives temperature field feedback from the environmental simulation module; the digital twin module realizes virtual-reality interactive simulation and artificial intelligence optimization; the digital twin module receives the test data of the measurement, control and analysis module, generates the optimal temperature control curve for the environmental simulation module, and outputs performance optimization suggestions to the end user.
2. The heat sink thermal performance full inspection test system according to claim 1, characterized in that: The heat source simulation module has an adaptive hot plate unit and a hot and cold dual-mode unit. The adaptive hot plate unit integrates a piezoelectric ceramic array with a resolution of plus or minus 0.1 Newton, an S-shaped embedded heating wire with a power range of 0 to 500 watts, and an infrared thermal imager with a spatial resolution of 5 microns; the hot and cold dual-mode unit includes a microfluidic liquid cooling plate with a cross-section of 0.5 mm by 1 mm and a semiconductor refrigeration sheet with a temperature control range of minus 20 degrees Celsius to 100 degrees Celsius.
3. The heat sink thermal performance full inspection test system according to claim 1, characterized in that: The environmental simulation module consists of a water-cooled mezzanine unit with a polyurethane and stainless steel color-coated steel plate hexahedron structure, an internal integrated wavy water channel with a cross-sectional area of 150 square millimeters and a flow rate range of 0.1 to 10 liters per minute, and an intelligent air supply unit including an axial flow fan with an air volume range of 0 to 500 cubic meters per hour and a humidity generator with a relative humidity range of 10 to 90 percent.
4. The heat sink thermal performance full inspection test system according to claim 1, characterized in that: The energy efficiency circulation module has a three-stage energy unit and a heat and cold recovery unit. The three-stage energy unit includes a vacuum tube solar collector with an area of not less than 15 square meters, a ground source heat pump unit with a cooling capacity of 10 kilowatts, and a phase change heat storage tank with a capacity of 200 liters and paraffin with a melting point of 58 degrees Celsius; the heat and cold recovery unit includes a plate heat exchanger with a waste heat recovery rate of not less than 60 percent and an absorption chiller with a refrigeration performance coefficient of not less than 0.
7.
5. The heat sink thermal performance full inspection test system according to claim 1, characterized in that: The measurement, control and analysis module has a high-speed acquisition unit and an intelligent analysis unit. The high-speed acquisition unit includes distributed edge nodes with a sampling rate of 100,000 points per second and high-precision sensors with a Pt100 accuracy of plus or minus 0.1 degrees Celsius and an ultrasonic flow meter accuracy of plus or minus 0.2 percent; the intelligent analysis unit includes the QTT transient algorithm that can predict steady-state thermal resistance within 30 seconds and a latent heat calculation model based on the JB2293-78 standard enthalpy difference method.
6. The heat sink thermal performance full inspection test system according to claim 1, characterized in that: The 3D modeling unit of the digital twin module includes a parametric radiator model library, supports the import of special-shaped structures, and has an ANSYS Fluent real-time coupling interface; the AI decision-making unit integrates an LSTM working condition prediction algorithm with a prediction error of no more than three percent and an augmented reality visualization engine with a hotspot positioning accuracy of plus or minus 1 mm.
7. The heat sink thermal performance full inspection test system according to claim 1, characterized in that: The heat source simulation module adds a phase change material thermal buffer layer to absorb instantaneous thermal shock during millisecond-level step heating and reduce the data noise of the infrared thermal imager; or integrates a multi-physics field coupling simulation unit to automatically calibrate the pressure distribution of the piezoelectric ceramic array by comparing the infrared thermal imaging data with the COMSOL simulation results in real time.
8. The heat sink thermal performance full inspection test system according to claim 1, characterized in that: The environmental simulation module adds a salt spray unit that complies with the GB / T10125 standard and a low-pressure chamber that can simulate an environment at an altitude of 5000m, or upgrades the intelligent air supply system to a 3D turbulence generator, which generates controllable vortices through a piezoelectric oscillator to simulate the non-uniform flow field inside the cabinet.
9. The heat sink thermal performance full inspection test system according to claim 1, characterized in that: The energy efficiency cycle module adopts a four-order energy synergy architecture and adds a hydrogen fuel cell backup unit with an output power of 5kW, which can seamlessly switch when the solar energy / ground source heat pump power supply is interrupted to ensure 72 hours of continuous testing.
Citation Information
Patent Citations
Automobile radiator product detection bench
CN215492485U
Cited By
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