Valve characterization system and method for high purity chemical delivery
Patent Information
- Application Number
- CN202610977418.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-02
- Publication Date
- 2026-10-13
AI Technical Summary
现有方法大多需要建立复杂的三维计算流体动力学（CFD）模型，计算周期长，实时性差，无法满足在线实时监测和预警需求；
[0012]本申请与现有技术相比，好处如下：获取目标高纯化学品物性数据、阀门冲击受力数据和阀门流道几何数模数据；分析目标高纯化学品在阀门关键流道内的压力分布情况，进而标定出空泡输运溃灭区域；使用阀门冲击受力数据计算阀门空泡溃灭区域单位时间内的冲击能量沉积率；根据阀门空泡溃灭区域单位时间内的冲击能量沉积率对阀门密封面的材料空蚀损失深度变化率进行分析，从而对阀门损伤风险进行判定，并输出风险预警结果；通过标定空化起始和溃灭区域，实现从空化现象、冲击能量、材料剥蚀速率到最终风险等级的闭环量化推演，在对高纯化学品冲击下的阀门分析损伤时，将冲击能量沉积率与阀门密封面材料抗空蚀比能结合，输出材料空蚀损失深度变化率直观反映了损伤发展速度。
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Figure CN122900841A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of valve testing technology, and in particular to a valve characteristic parameter testing system and method for the transportation of high-purity chemicals. Background Technology
[0002] In the transportation of high-purity chemicals (such as electronic-grade hydrofluoric acid and sulfuric acid), valves, as critical control and shut-off components, directly affect the purity of the medium, production continuity, and personnel safety due to their sealing integrity and structural health. High-purity chemicals are typically highly corrosive, highly permeable, and extremely toxic. If a valve leaks due to cavitation damage, it will not only contaminate the high-purity medium, causing the entire production line to be scrapped, but may also lead to serious safety and environmental accidents. The formation mechanism of cavitation damage inside valves is as follows: When chemicals flow through the throttling region of a valve (e.g., the narrow gap formed by the valve core and seat), the flow velocity increases sharply and the static pressure drops abruptly. When the local pressure is lower than the saturated vapor pressure of the chemical, the liquid vaporizes to form cavitation bubbles. These cavitation bubbles are transported downstream with the fluid to the pressure recovery zone, where they are compressed and collapsed, generating instantaneous high-pressure shock waves and micro-jet streams. These repeatedly impact the valve body and sealing surface materials, causing material spalling (i.e., cavitation erosion). Long-term accumulation will lead to the formation of leakage gaps on the sealing surface, eventually causing leakage. Current technology for assessing valve cavitation risk has the following main shortcomings: Most existing methods require the establishment of complex three-dimensional computational fluid dynamics (CFD) models, which have long calculation cycles and poor real-time performance, and cannot meet the needs of online real-time monitoring and early warning. Traditional assessments often use dimensionless empirical parameters such as cavitation number, which can only qualitatively determine whether cavitation has occurred, but cannot quantitatively give the damage intensity of cavitation to the material, making it difficult to establish a direct correlation with the actual resistance of the material. In order to solve the problems raised in the background technology, this application designs a valve characteristic parameter detection system and method for high-purity chemical transportation. Summary of the Invention
[0003] To achieve the above objectives, this application adopts the following technical solution: In the first aspect, this application provides a valve characteristic parameter detection system for the transportation of high-purity chemicals, including the following specific modules: The system includes a target parameter acquisition module, a collapse area calibration module, an impact intensity analysis module, and an early warning information push module. The target parameter acquisition module is used to acquire the physical property data of the target high-purity chemical, the valve impact force data, and the valve flow channel geometric model data; The collapse zone calibration module is used to analyze the pressure distribution of the target high-purity chemical in the critical flow channel of the valve, and then calibrate the cavitation transport collapse zone. The impact strength analysis module is used to calculate the impact energy deposition rate per unit time in the valve cavitation collapse area using valve impact force data. The early warning information push module is used to analyze the change rate of material cavitation loss depth on the valve sealing surface based on the impact energy deposition rate per unit time in the valve cavitation collapse area, thereby determining the valve damage risk and outputting risk warning results.
[0004] In one implementation of this application, obtaining the target high-purity chemical property data, valve impact force data, and valve flow channel geometric model data includes the following specific aspects: The physical property data of the target high-purity chemical are obtained through volumetric flow meters, property manuals, and databases. The physical property data of the target high-purity chemical includes the volumetric flow rate data of the target high-purity chemical through the valve, as well as the saturated vapor pressure, sound velocity, and density data of the target high-purity chemical. Valve impact force data were obtained by pressure gauge and ASTM G32 ultrasonic vibration cavitation test. Valve impact force data included total valve inlet pressure, valve outlet pressure, and cavitation resistance specific energy of valve sealing surface material. The valve flow channel geometric model data is obtained by using the two-dimensional engineering drawing of the valve flow channel design. The valve flow channel geometric model data includes the flow area and location of each cross section of the valve flow channel and the data of local resistance components in the valve flow channel. In one implementation of this application, the collapse area calibration module includes the following specific units: The first unit is used to extract the valve flow channel cross-sectional parameters and segment them based on the valve flow channel geometric model data. The second unit is used to analyze the pressure distribution of the target high-purity chemical in each key flow channel of the valve based on the segmented valve flow channel one-dimensional geometric parameter table and the physical property data of the target high-purity chemical. The third unit is used to calibrate the cavitation initiation region based on the saturated vapor pressure of the target high-purity chemical and the axial pressure distribution curve in the valve flow channel; The fourth unit is used to determine the pressure recovery section, calculate the slope of the pressure distribution curve in the pressure recovery section, and mark the cavitation transport collapse area.
[0005] In one implementation of this application, the step of extracting valve flow channel cross-sectional parameters and segmenting them based on valve flow channel geometric model data includes the following specific steps: marking the key throttling sections of the valve sequentially along the flow direction of the target high-purity chemical in the valve flow channel to obtain each key throttling section of the valve; obtaining the flow area of each key throttling section of the valve from the valve flow channel geometric model data; combining the position and flow area of each key throttling section into a segmented one-dimensional geometric parameter table of the valve flow channel; and outputting the segmented one-dimensional geometric parameter table of the valve flow channel. In one implementation of this application, the step of analyzing the pressure distribution of the target high-purity chemical in each key flow channel of the valve based on the segmented valve flow channel one-dimensional geometric parameter table and the target high-purity chemical property data includes the following specific content: calculating the flow velocity of the target high-purity chemical at each key throttling section of the valve according to the law of conservation of mass. The specific calculation process is as follows: according to the law of conservation of mass, the volumetric flow rate data of the target high-purity chemical passing through the valve is divided by the flow area of each key throttling section to obtain the flow velocity of the target high-purity chemical at each key throttling section of the valve; the Bernoulli equation is used to recursively calculate the pressure on the pipe section wall corresponding to each key throttling section of the valve, and the pressure loss at each key throttling section of the valve is combined with the pressure loss at each key throttling section of the valve. The specific calculation formula is as follows: ,
[0006] Where i is the corresponding number of each critical throttling section, i can be any number from 1 to n, n is the maximum value of the corresponding number of each critical throttling section, k is the corresponding number of the local resistance components that the target high-purity chemical has traversed from the inlet to the i-th critical throttling section, k can be any number from 1 to m, and m is the total number of local resistance components traversed. This is the local drag coefficient. Total inlet pressure, For high-purity chemical density, The flow rate of the target high-purity chemical at the i-th critical throttling section of the valve. The flow velocity of the target high-purity chemical when it flows through the kth local resistance component is used; the axial pressure distribution curve in the valve flow channel is plotted by connecting the positions of each key throttling section of the valve with its corresponding segment pressure. In one implementation of this application, the step of calibrating the cavitation initiation region based on the saturated vapor pressure of the target high-purity chemical and the axial pressure distribution curve within the valve flow channel includes the following specific steps: using the saturated vapor pressure of the target high-purity chemical as the threshold for determining whether each key flow channel of the valve is a cavitation region; drawing a horizontal line on the pressure distribution curve of the target high-purity chemical as the cavitation determination baseline; comparing the axial pressure distribution curve within the valve flow channel with the cavitation determination baseline; identifying all continuous intervals in the axial pressure distribution curve within the valve flow channel that are lower than the cavitation determination baseline; mapping all continuous intervals lower than the cavitation determination baseline to the geometric model data of the valve flow channel; marking the actual physical positions of all continuous intervals lower than the cavitation determination baseline; recording the marked actual physical positions as the cavitation initiation region; and outputting the axial position range of the cavitation initiation region. In one implementation of this application, determining the pressure recovery segment, calculating the slope of the pressure distribution curve in the pressure recovery segment, and marking the cavitation transport collapse region includes the following specific steps: obtaining the axial pressure distribution curve in the valve flow channel and comparing it with the cavitation determination baseline; selecting the interval where the axial pressure in the valve flow channel rises from the saturated vapor pressure of the target high-purity chemical to the valve outlet pressure, and marking it as the pressure recovery segment; calculating the slope of the pressure distribution curve in the pressure recovery segment; obtaining the region in the pressure recovery segment where the axial pressure in the valve flow channel recovers to a level higher than the saturated vapor pressure of the target high-purity chemical; marking the location with the largest slope of the pressure distribution curve in this region and its downstream region as the cavitation transport collapse region; mapping this region to the geometric model data of the valve flow channel; and outputting the valve wall portion corresponding to the cavitation transport collapse region. In one implementation of this application, the calculation of the impact energy deposition rate per unit time in the valve cavitation collapse region using valve impact force data includes the following specific steps: obtaining the pressure and corresponding time signal of the valve cavitation transport collapse region wall from the signal transmitted by a high-frequency piezoelectric pressure sensor. (Sampling frequency not less than 1MHz), select pressure pulses that are higher than 3 times the standard deviation of the valve outlet pressure, and calculate the impact energy E of each selected pressure pulse using integration. The calculation formula is as follows: ,
[0007] in, for Time average, The width of the pressure pulse. The instantaneous normal velocity of the high-purity chemical target on the wall of the collapse zone is given; the impact energy of each pressure pulse per unit time is accumulated, and the accumulated result is divided by the product of the unit time and the sensitive area of the high-frequency piezoelectric pressure sensor to obtain the impact energy deposition rate per unit time in the valve cavitation collapse zone.
[0008] In one implementation of this application, the step of analyzing the change rate of material cavitation loss depth of the valve sealing surface based on the impact energy deposition rate per unit time in the valve cavitation collapse area, thereby determining the valve damage risk and outputting a risk warning result, includes the following specific content: obtaining the impact energy required to remove a unit volume of material from the valve sealing surface auxiliary material; dividing the impact energy deposition rate per unit time in the valve cavitation collapse area by the impact energy required to remove a unit volume of material from the valve sealing surface auxiliary material to obtain the change rate of material cavitation loss depth of the valve sealing surface; comparing the change rate of material cavitation loss depth of the valve sealing surface with a set threshold for the change rate of material cavitation loss depth of the valve sealing surface; if the change rate of material cavitation loss depth of the valve sealing surface is greater than or equal to the set threshold, the valve is determined to have a damage risk; if the change rate of material cavitation loss depth of the valve sealing surface is less than the set threshold, the valve is determined to be in a safe state, and the valve state judgment result is pushed out as a warning.
[0009] Secondly, this application also provides a method for detecting valve characteristic parameters for conveying high-purity chemicals, including the following specific steps: Step 1: Obtain the physical property data of the target high-purity chemical, the valve impact force data, and the valve flow channel geometric model data; Step 2: Analyze the pressure distribution of the target high-purity chemical in the key flow channels of the valve, and then identify the cavitation transport collapse area; Step 3: Calculate the impact energy deposition rate per unit time in the valve cavitation collapse area using valve impact force data; Step 4: Analyze the change rate of material cavitation loss depth on the valve sealing surface based on the impact energy deposition rate per unit time in the valve cavitation collapse area, thereby determining the valve damage risk and outputting risk warning results.
[0010] Thirdly, this application provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a valve characteristic parameter detection method for high-purity chemical delivery by calling the computer program stored in the memory.
[0011] Fourthly, this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a valve characteristic parameter detection method for the delivery of high-purity chemicals.
[0012] Compared with existing technologies, this application offers the following advantages: It acquires physical property data of the target high-purity chemical, valve impact stress data, and valve flow channel geometric model data; it analyzes the pressure distribution of the target high-purity chemical within the key flow channels of the valve, thereby identifying the cavitation transport collapse zone; it uses the valve impact stress data to calculate the impact energy deposition rate per unit time in the valve cavitation collapse zone; it analyzes the change rate of material cavitation loss depth on the valve sealing surface based on the impact energy deposition rate per unit time in the valve cavitation collapse zone, thereby determining the valve damage risk and outputting risk warning results; by calibrating the cavitation initiation and collapse zones, it achieves a closed-loop quantitative extrapolation from cavitation phenomena, impact energy, material erosion rate to the final risk level. When analyzing valve damage under the impact of high-purity chemicals, it combines the impact energy deposition rate with the cavitation resistance specific energy of the valve sealing surface material, outputting the material cavitation loss depth change rate to intuitively reflect the damage development speed. Attached Figure Description
[0013] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the overall process structure of the method in this application; Figure 2 This is a schematic diagram of the analysis process for the collapse area calibration module of the system in this application. Figure 3 This is a schematic diagram of the system structure of this application; Figure 4 This is a schematic diagram of the analysis process of the impact strength analysis module of the system in this application. Detailed Implementation
[0014] The technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments and specific features in the embodiments are detailed descriptions of the technical solution of this application, rather than limitations thereof. In the absence of conflict, the embodiments and technical features in the embodiments can be combined with each other.
[0015] Example 1 Please see Figure 3 , Figure 3 This is a schematic diagram of the overall module of the valve characteristic parameter detection system for high-purity chemical transportation provided in this application embodiment, specifically including: The system includes a target parameter acquisition module, a collapse area calibration module, an impact intensity analysis module, and an early warning information push module. The target parameter acquisition module is used to acquire the physical property data of the target high-purity chemical, the valve impact force data, and the valve flow channel geometric model data; In this embodiment, acquiring the target high-purity chemical property data, valve impact force data, and valve flow channel geometric model data includes the following specific contents: The target high-purity chemical's physical property data includes the volumetric flow rate data of the target high-purity chemical through the valve, and the saturated vapor pressure, sound velocity, and density data of the target high-purity chemical; the volumetric flow rate data of the target high-purity chemical through the valve is obtained through a volumetric flow meter, and the saturated vapor pressure and density data are obtained through the physical property manual of the target high-purity chemical; the sound velocity of the target high-purity chemical is obtained by selecting the pure substance through an interface of a public database (such as NIST REFPROP), inputting the operating temperature of the target high-purity chemical, and directly reading the sound velocity value. Valve impact stress data includes total valve inlet pressure, valve outlet pressure, and cavitation erosion resistance specific energy of valve sealing surface material; total valve inlet pressure and valve outlet pressure are obtained using a pressure gauge; cavitation erosion resistance specific energy of valve sealing surface material is obtained using ASTM G32 ultrasonic vibration cavitation erosion test. The valve flow channel geometric model data includes the flow area, location, and local resistance component data of each cross section of the valve flow channel; the flow area, location, and local resistance component data of each cross section of the valve flow channel are obtained through the two-dimensional engineering drawings of the valve flow channel design. The collapse zone calibration module is used to analyze the pressure distribution of the target high-purity chemical in the critical flow channel of the valve, and then calibrate the cavitation transport collapse zone. like Figure 2 As shown, in this embodiment, the collapse area calibration module includes the following specific units: The first unit is used to extract the valve flow channel cross-sectional parameters and segment them based on the valve flow channel geometric model data. In this embodiment, the extraction and segmentation of valve flow channel cross-sectional parameters based on valve flow channel geometric model data includes the following specific details: Along the flow direction of the target high-purity chemical in the valve channel, mark the key throttling sections of the valve in sequence to obtain each key throttling section of the valve; obtain the flow area of each key throttling section of the valve from the valve channel geometric model data, combine the position and flow area of each key throttling section into a segmented one-dimensional geometric parameter table of the valve channel, and output the segmented one-dimensional geometric parameter table of the valve channel. It should be noted that the method for marking the critical throttling section of the valve is as follows: mark along the flow direction of the target high-purity chemical in the valve flow channel, for example, straight pipe section before the valve → constriction section formed by valve core and valve seat → sealing surface gap channel → diffuser section after the valve; output a one-dimensional geometric parameter table of the valve flow channel segment, i.e. [critical throttling section location, flow area]; The second unit is used to analyze the pressure distribution of the target high-purity chemical in each key flow channel of the valve based on the segmented valve flow channel one-dimensional geometric parameter table and the physical property data of the target high-purity chemical. In this embodiment, based on the segmented valve flow channel one-dimensional geometric parameter table and the target high-purity chemical property data, the pressure distribution of the target high-purity chemical in each key flow channel of the valve is analyzed, including the following specific contents: The flow velocity of the target high-purity chemical at each key throttling section of the valve is calculated according to the law of conservation of mass. The specific calculation process is as follows: According to the law of conservation of mass, the volumetric flow rate data of the target high-purity chemical passing through the valve is divided by the flow area of each key throttling section to obtain the flow velocity of the target high-purity chemical at each key throttling section of the valve; Bernoulli's equation is used recursively to calculate the pressure on the pipe wall corresponding to each key throttling section of the valve, and the pressure loss at each key throttling section is combined with the pressure loss at each key throttling section of the valve. The specific calculation formula is as follows: ,
[0016] Where i is the corresponding number of each critical throttling section, i can be any number from 1 to n, n is the maximum value of the corresponding number of each critical throttling section, k is the corresponding number of the local resistance components that the target high-purity chemical has traversed from the inlet to the i-th critical throttling section, k can be any number from 1 to m, and m is the total number of local resistance components traversed. This is the local drag coefficient. Total inlet pressure, For high-purity chemical density, The flow rate of the target high-purity chemical at the i-th critical throttling section of the valve. The flow velocity of the target high-purity chemical when it flows through the kth local resistance component is used; the axial pressure distribution curve in the valve flow channel is plotted by connecting the positions of each key throttling section of the valve with its corresponding segment pressure. It should be noted here that the inlet total pressure The total mechanical energy (expressed in pressure units) of a unit volume of high-purity chemical at the valve inlet. Partially representing the dynamic pressure at the critical throttling section, that is, the velocity of a unit volume of the target high-purity chemical at the critical throttling section. The kinetic energy carried during flow is subtracted because, according to Bernoulli's principle, total pressure is the sum of static pressure and dynamic pressure; in lossless ideal flow, static pressure... equal ; It is the cumulative sum of irreversible mechanical energy loss caused by abrupt changes in the flow channel, friction, vortexes, etc., during the process of the target high-purity chemical flowing from the inlet to the key throttling section, i.e., the energy dissipation caused by local components; The local resistance coefficient is obtained by dividing the target high-purity chemical volumetric flow rate data of the valve by the flow area of the target high-purity chemical when flowing through the k-th local resistance component. It is the local resistance coefficient of a local resistance component, a dimensionless number determined by the component's geometry. For example, it's the flow velocity in a local resistance component that suddenly contracts or expands (the local resistance component at the location of a small cross-section). It can be directly calculated from the area ratio formula, and the sudden shrinkage... Suddenly expanded ,in For the entrance area, For the export area; simultaneously, the local resistance coefficient Alternatively, the pressure drop can be obtained from charts in fluid mechanics engineering data handbooks. When these handbooks are unavailable or higher precision is required, the local pressure drop can be obtained by experimentally measuring the total pressure drop generated by the fluid flowing through the test piece and subtracting the friction loss along the same length of straight pipe. Substituting local resistance loss into Calculate the local drag coefficient; The third unit is used to calibrate the cavitation initiation region based on the saturated vapor pressure of the target high-purity chemical and the axial pressure distribution curve in the valve flow channel; In this embodiment, the cavitation initiation region is calibrated based on the saturated vapor pressure of the target high-purity chemical and the axial pressure distribution curve within the valve flow channel. This includes the following specific steps: using the saturated vapor pressure of the target high-purity chemical as the threshold for determining whether each key flow channel of the valve is a cavitation region; drawing a horizontal line on the pressure distribution curve based on the saturated vapor pressure of the target high-purity chemical, which is designated as the cavitation determination baseline; comparing the axial pressure distribution curve within the valve flow channel with the cavitation determination baseline, and identifying all continuous intervals in the axial pressure distribution curve within the valve flow channel that are below the cavitation determination baseline; mapping all continuous intervals below the cavitation determination baseline to the geometric model data of the valve flow channel, marking the actual physical locations of all continuous intervals below the cavitation determination baseline, and recording these marked actual physical locations as the cavitation initiation region, outputting the axial position range of the cavitation initiation region; It should be noted that the cavitation initiation region is where steam bubbles are initially generated in large quantities and expand rapidly in volume, while the cavitation transport and collapse region is where cavitation bubbles release energy and cause impact damage to the wall (cavitation bubbles are transported downstream with the fluid and are compressed and collapse rapidly when they enter the pressure recovery region). The fourth unit is used to determine the pressure recovery section, calculate the slope of the pressure distribution curve in the pressure recovery section, and mark the cavitation transport collapse area. In this embodiment, determining the pressure recovery section, calculating the slope of the pressure distribution curve in the pressure recovery section, and marking the cavitation transport collapse region includes the following specific steps: obtaining the axial pressure distribution curve in the valve channel and comparing it with the cavitation determination baseline, selecting the interval where the axial pressure in the valve channel rises from the saturated vapor pressure of the target high-purity chemical to the valve outlet pressure, and marking it as the pressure recovery section; calculating the slope of the pressure distribution curve in the pressure recovery section, obtaining the area in the pressure recovery section where the axial pressure in the valve channel recovers to a level higher than the saturated vapor pressure of the target high-purity chemical, marking the location with the largest slope of the pressure distribution curve in this area and its downstream area as the cavitation transport collapse region, mapping this region to the geometric model data of the valve channel, and outputting the valve wall portion corresponding to the cavitation transport collapse region; It should be noted that the region where the axial pressure in the valve channel of the pressure recovery section is restored to a level higher than the saturated vapor pressure of the target high-purity chemical is because the cavitation collapse process is most intense when the pressure recovery exceeds a certain value of the saturated vapor pressure. The region higher than the saturated vapor pressure of the target high-purity chemical can be set to reach 1.1 to 1.3 times the saturated vapor pressure of the target high-purity chemical. The impact strength analysis module is used to calculate the impact energy deposition rate per unit time in the valve cavitation collapse area using valve impact force data. like Figure 4 As shown, in this embodiment, calculating the impact energy deposition rate per unit time in the valve cavitation collapse region using valve impact force data includes the following specific steps: obtaining the pressure and corresponding time signal of the valve cavitation transport collapse region wall from the signal transmitted by the high-frequency piezoelectric pressure sensor. (Sampling frequency not less than 1MHz), select pressure pulses that are higher than 3 times the standard deviation of the valve outlet pressure, and calculate the impact energy E of each selected pressure pulse using integration. The calculation formula is as follows: ,
[0017] in, for Time average, The width of the pressure pulse. The instantaneous normal velocity of the high-purity chemical target on the wall of the collapse zone is given; the impact energy of each pressure pulse per unit time is accumulated, and the accumulated result is divided by the product of the unit time and the sensitive area of the high-frequency piezoelectric pressure sensor to obtain the impact energy deposition rate per unit time in the valve cavitation collapse zone. It should be noted here that the use of Time average This is because cavitation collapse is an instantaneous event. In long-term data, the pressure is mostly at the background level, and the time average can well represent the steady-state pressure; the instantaneous normal velocity of the high-purity chemical target on the wall of the collapse zone. Where c is the sound velocity of the target high-purity chemical; the sensitive area of the high-frequency piezoelectric pressure sensor is obtained from the product specification provided by the sensor manufacturer; the impact energy deposition rate per unit time in the valve cavitation collapse area is calculated because when a cavitation bubble collapses near the wall, it generates a high-speed microjet and shock wave, which converts kinetic energy into mechanical energy acting on the solid surface. The impact energy deposition rate per unit time in the cavitation collapse area refers to the total impact energy effectively deposited on the wall surface per unit time, which is used to quantify the mechanical attack intensity of the cavitation bubble on the wall surface; The early warning information push module is used to analyze the change rate of material cavitation loss depth on the valve sealing surface based on the impact energy deposition rate per unit time in the valve cavitation collapse area, thereby determining the valve damage risk and outputting risk warning results. In this embodiment, the change rate of material cavitation loss depth of the valve sealing surface is analyzed based on the impact energy deposition rate per unit time in the valve cavitation collapse area, thereby determining the valve damage risk and outputting a risk warning result, including the following specific contents: obtaining the impact energy required to remove a unit volume of the valve sealing surface auxiliary material; dividing the impact energy deposition rate per unit time in the valve cavitation collapse area by the impact energy required to remove a unit volume of the valve sealing surface auxiliary material to obtain the change rate of material cavitation loss depth of the valve sealing surface; comparing the change rate of material cavitation loss depth of the valve sealing surface with a set threshold for the change rate of material cavitation loss depth of the valve sealing surface; if the change rate of material cavitation loss depth of the valve sealing surface is greater than or equal to the set threshold for the change rate of material cavitation loss depth of the valve sealing surface, the valve is determined to have a damage risk; if the change rate of material cavitation loss depth of the valve sealing surface is less than the set threshold for the change rate of material cavitation loss depth of the valve sealing surface, the valve is determined to be in a safe state, and the valve state judgment result is pushed out as a warning. It should be noted that the impact energy required to remove a unit volume of material from the valve sealing surface is the average cavitation resistance specific energy of the valve sealing surface material calculated by the material cavitation volume loss rate measured by ASTM G32 test and the corresponding impact energy density. The overall benefits of this approach are as follows: It acquires physical property data of the target high-purity chemical, valve impact stress data, and valve flow channel geometric model data; it analyzes the pressure distribution of the target high-purity chemical within the key flow channels of the valve, thereby identifying the cavitation transport collapse zone; it uses the valve impact stress data to calculate the impact energy deposition rate per unit time in the valve cavitation collapse zone; it analyzes the change rate of material cavitation loss depth on the valve sealing surface based on the impact energy deposition rate per unit time in the valve cavitation collapse zone, thereby determining the valve damage risk and outputting risk warning results; by calibrating the cavitation initiation and collapse zones, it achieves a closed-loop quantitative extrapolation from cavitation phenomena, impact energy, material erosion rate to the final risk level. When analyzing valve damage under the impact of high-purity chemicals, it combines the impact energy deposition rate with the cavitation resistance specific energy of the valve sealing surface material, outputting the material cavitation loss depth change rate, which intuitively reflects the damage development speed.
[0018] Please see Figure 1 , Figure 1 This is a schematic diagram of the steps of a valve characteristic parameter detection method for high-purity chemical transportation provided in this application embodiment, including the following specific steps: Step 1: Obtain the physical property data of the target high-purity chemical, the valve impact force data, and the valve flow channel geometric model data; Step 2: Analyze the pressure distribution of the target high-purity chemical in the key flow channels of the valve, and then identify the cavitation transport collapse area; Step 3: Calculate the impact energy deposition rate per unit time in the valve cavitation collapse area using valve impact force data; Step 4: Analyze the change rate of material cavitation loss depth on the valve sealing surface based on the impact energy deposition rate per unit time in the valve cavitation collapse area, thereby determining the valve damage risk and outputting risk warning results.
[0019] The parameters and steps for implementing the corresponding functions in the valve characteristic parameter detection method for high-purity chemical transportation described above can be found in the parameters and unit modules in the embodiments of the valve characteristic parameter detection system for high-purity chemical transportation described above, and will not be repeated here.
[0020] Embodiments of this application also provide an electronic device, including a memory, a processor, and a communication bus; the memory and the processor are connected via the communication bus. The memory stores a valve characteristic parameter detection method for high-purity chemical delivery, which can be loaded by the processor and executed as provided in the above embodiments.
[0021] The memory can be used to store instructions, programs, code, code sets, or instruction sets. The memory may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the valve characteristic parameter detection method for high-purity chemical transportation provided in the above embodiments, etc. The data storage area may store data involved in the valve characteristic parameter detection method for high-purity chemical transportation provided in the above embodiments, etc.
[0022] A processor may include one or more processing cores. The processor executes instructions, programs, code sets, or instruction sets stored in memory, and calls data stored in memory to perform various functions and process data as described in this application. The processor may be at least one of a specific application-specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field-programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It is understood that, for different devices, the electronic devices used to implement the above-described processor functions may also be other types, and the embodiments of this application do not specifically limit this.
[0023] A communication bus may include a pathway for transmitting information between the aforementioned components. The communication bus can be a PCI bus or an EISA bus, etc. Communication buses can be categorized into address buses, data buses, control buses, etc.
[0024] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as described in the above embodiments for detecting valve characteristic parameters for conveying high-purity chemicals.
[0025] In this embodiment, a computer-readable storage medium can be a tangible device that holds and stores instructions used by an instruction execution device. The computer-readable storage medium can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer-readable storage medium can be a portable computer disk, a hard disk, a USB flash drive, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), staging random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory stick, floppy disk, optical disk, magnetic disk, mechanical encoding device, or any combination thereof.
[0026] The term includes, or any other variation thereof, is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.
[0027] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing application concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions claimed in this application.
Claims
1. A valve characteristic parameter detection system for conveying high-purity chemicals, characterized in that, Includes the following modules: The system includes a target parameter acquisition module, a collapse area calibration module, an impact intensity analysis module, and an early warning information push module. The target parameter acquisition module is used to acquire the physical property data of the target high-purity chemical, the valve impact force data, and the valve flow channel geometric model data. The collapse zone calibration module is used to analyze the pressure distribution of the target high-purity chemical in the key flow channel of the valve, and then calibrate the cavitation transport collapse zone. The impact strength analysis module is used to calculate the impact energy deposition rate per unit time in the valve cavitation collapse area using valve impact force data. The early warning information push module is used to analyze the change rate of material cavitation loss depth on the valve sealing surface based on the impact energy deposition rate per unit time in the valve cavitation collapse area, thereby determining the valve damage risk and outputting risk warning results.
2. The valve characteristic parameter detection system for high-purity chemical transportation according to claim 1, characterized in that, The collapse area calibration module includes: The first unit is used to extract the valve flow channel cross-sectional parameters and segment them based on the valve flow channel geometric model data. The second unit is used to analyze the pressure distribution of the target high-purity chemical in each key flow channel of the valve based on the segmented valve flow channel one-dimensional geometric parameter table and the physical property data of the target high-purity chemical. The third unit is used to calibrate the cavitation initiation region based on the saturated vapor pressure of the target high-purity chemical and the axial pressure distribution curve in the valve flow channel; The fourth unit is used to determine the pressure recovery section, calculate the slope of the pressure distribution curve in the pressure recovery section, and mark the cavitation transport collapse area.
3. The valve characteristic parameter detection system for high-purity chemical transportation according to claim 2, characterized in that, The process of extracting valve flow channel cross-sectional parameters and segmenting them based on valve flow channel geometric model data includes the following specific steps: Along the flow direction of the target high-purity chemical in the valve channel, the key throttling sections of the valve are marked sequentially to obtain each key throttling section of the valve; the flow area of each key throttling section of the valve is obtained from the valve channel geometric model data, and the position and flow area of each key throttling section are combined into a segmented one-dimensional geometric parameter table of the valve channel, and the segmented one-dimensional geometric parameter table of the valve channel is output.
4. The valve characteristic parameter detection system for high-purity chemical transportation according to claim 2, characterized in that, The analysis of the pressure distribution of the target high-purity chemical in each key flow channel of the valve, based on the segmented valve flow channel one-dimensional geometric parameter table and the target high-purity chemical property data, includes the following specific contents: The flow velocity of the target high-purity chemical at each key throttling section of the valve is calculated based on the law of conservation of mass. The specific calculation process is as follows: According to the law of conservation of mass, the volumetric flow rate of the target high-purity chemical passing through the valve is divided by the flow area of each key throttling section to obtain the flow velocity of the target high-purity chemical at each key throttling section of the valve; Bernoulli's equation is used to recursively calculate the pressure on the pipe wall corresponding to each key throttling section of the valve, and the pressure loss of each key throttling section of the valve is combined to calculate the pressure on the pipe wall corresponding to each key throttling section of the valve; the positions of each key throttling section of the valve and their corresponding segment pressures are connected to draw the axial pressure distribution curve in the valve flow channel.
5. The valve characteristic parameter detection system for high-purity chemical transportation according to claim 2, characterized in that, The calibration of the cavitation initiation region based on the saturated vapor pressure of the target high-purity chemical and the axial pressure distribution curve within the valve flow channel includes the following specific details: Using the saturated vapor pressure of the target high-purity chemical as the threshold for determining whether each key flow channel of the valve is a cavitation region, a horizontal line is drawn on the pressure distribution curve of the target high-purity chemical, which is recorded as the cavitation determination baseline. The axial pressure distribution curve in the valve flow channel is compared with the cavitation determination baseline, and all continuous intervals in the axial pressure distribution curve in the valve flow channel that are lower than the cavitation determination baseline are screened out. All continuous intervals lower than the cavitation determination baseline are mapped to the geometric model data of the valve flow channel, and the actual physical location of all continuous intervals lower than the cavitation determination baseline is marked. The marked actual physical location is recorded as the cavitation initiation region, and the axial position range of the cavitation initiation region is output.
6. The valve characteristic parameter detection system for high-purity chemical transportation according to claim 2, characterized in that, The process of determining the pressure recovery segment, calculating the slope of the pressure distribution curve within the pressure recovery segment, and identifying the cavitation transport collapse region includes the following specific steps: The axial pressure distribution curve within the valve flow channel is compared with the cavitation determination baseline. The interval where the axial pressure within the valve flow channel rises from the saturated vapor pressure of the target high-purity chemical to the valve outlet pressure is selected and marked as the pressure recovery section. The slope of the pressure distribution curve in the pressure recovery section is calculated, and the area where the axial pressure within the valve flow channel recovers to a level higher than the saturated vapor pressure of the target high-purity chemical is obtained. The location with the largest slope of the pressure distribution curve in this area and its downstream area are marked as the cavitation transport collapse area. This area is mapped to the geometric model data of the valve flow channel, and the valve wall portion corresponding to the cavitation transport collapse area is output.
7. The valve characteristic parameter detection system for high-purity chemical transportation according to claim 1, characterized in that, The calculation of the impact energy deposition rate per unit time in the valve cavitation collapse region using valve impact force data includes the following specific details: The pressure and corresponding time signals of the valve cavitation transport collapse zone wall are obtained from the signals transmitted by the high-frequency piezoelectric pressure sensor. Pressure pulses that are higher than three times the standard deviation of the valve outlet pressure are selected. The impact energy of each selected pressure pulse is calculated by integration. The impact energy of each pressure pulse per unit time is accumulated, and the accumulated result is divided by the product of the unit time and the sensitive area of the high-frequency piezoelectric pressure sensor to obtain the impact energy deposition rate of the valve cavitation collapse zone per unit time.
8. The valve characteristic parameter detection system for high-purity chemical transportation according to claim 1, characterized in that, The method analyzes the change rate of material cavitation loss depth on the valve sealing surface based on the impact energy deposition rate per unit time in the valve cavitation collapse area, thereby determining the valve damage risk and outputting risk warning results, including the following specific contents: The impact energy required to remove a unit volume of material from the valve sealing surface is obtained. The impact energy deposition rate per unit time in the valve cavitation collapse area is divided by the impact energy required to remove a unit volume of material from the valve sealing surface to obtain the cavitation loss depth change rate of the valve sealing surface material. The cavitation loss depth change rate of the valve sealing surface material is compared with a set threshold. If the cavitation loss depth change rate of the valve sealing surface material is greater than or equal to the set threshold, the valve is judged to be at risk of damage. If the cavitation loss depth change rate of the valve sealing surface material is less than the set threshold, the valve is judged to be in a safe state, and the valve status judgment result is pushed out as an early warning.
9. A method for detecting valve characteristic parameters for conveying high-purity chemicals, implemented based on the valve characteristic parameter detection system for conveying high-purity chemicals according to any one of claims 1-8, characterized in that, The specific steps include the following: Step 1: Obtain the physical property data of the target high-purity chemical, the valve impact force data, and the valve flow channel geometric model data; Step 2: Analyze the pressure distribution of the target high-purity chemical in the key flow channels of the valve, and then identify the cavitation transport collapse area; Step 3: Calculate the impact energy deposition rate per unit time in the valve cavitation collapse area using valve impact force data; Step 4: Analyze the change rate of material cavitation loss depth on the valve sealing surface based on the impact energy deposition rate per unit time in the valve cavitation collapse area, thereby determining the valve damage risk and outputting risk warning results.
10. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the valve characteristic parameter detection method for high-purity chemical delivery as described in claim 9 by calling the computer program stored in the memory.