Numerical simulation method and system based on erosive wear of titanium alloy pump valve

Abstract

The invention relates to the technical field of image processing, in particular to a numerical simulation method and system based on erosive wear of a titanium alloy pump valve, and the method comprises the steps: eroding the titanium alloy pump valve based on the titanium alloy pump valve, the flow velocity range, the pressure range, the particle concentration and the particle size distribution to obtain a worn workpiece and a three-dimensional scanning wear morphology image, constructing an erosion simulation model, calculating particle impact force, wear depth and particle kinetic energy, constructing a simulated wear depth histogram, calculating a height gradient and a gradient dynamic threshold value, segmenting a gradient segmentation image, calculating a depth dynamic threshold value and depth information, segmenting an actual wear distribution diagram, marking the actual wear distribution diagram to obtain a marked area, calculating the wear degree of the marked area, and calculating the wear degree of the marked area. And an actual abrasion depth histogram is constructed, the erosion simulation model is adjusted, an adjusted erosion simulation model is obtained, and numerical simulation is completed. According to the method, the accuracy of numerical simulation of the erosive wear of the titanium alloy pump valve can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of image processing, and in particular to a numerical simulation method and system based on erosion and wear of titanium alloy pump valves. Background Art

[0002] With the rapid development of materials science, titanium alloy pumps and valves are widely used in chemical, aerospace, marine engineering and other fields due to their excellent corrosion resistance, high strength and light weight. However, in practical applications, titanium alloy pumps and valves are often subjected to erosion and wear by particle-containing fluids. This wear phenomenon can cause the performance degradation or even failure of the pumps and valves, affecting the stable operation of the system. How to accurately analyze the erosion and wear mechanism and predict the wear distribution is the key to improving its service life and the accuracy of numerical simulation.

[0003] Traditional numerical simulation methods for erosion wear of titanium alloy pumps and valves usually use experimental methods, which are to perform erosion tests on titanium alloy pumps and valves by changing parameters such as flow rate and pressure, and make empirical inferences based on the results. However, this method requires a lot of time and cost, and it is difficult to fully evaluate the impact of multivariate interactions on wear behavior. In addition, existing wear analysis technologies are mostly based on two-dimensional image processing and lack image processing of three-dimensional wear morphology, resulting in certain errors in the quantitative results of the degree of wear. Therefore, how to improve the accuracy of numerical simulation of erosion wear of titanium alloy pumps and valves is an important issue that needs to be solved urgently. Summary of the invention

[0004] The present invention provides a numerical simulation method and system based on erosion wear of titanium alloy pump valves, the main purpose of which is to improve the accuracy of numerical simulation of erosion wear of titanium alloy pump valves.

[0005] To achieve the above-mentioned purpose, the numerical simulation method based on erosion wear of titanium alloy pumps and valves provided by the present invention includes: obtaining a titanium alloy pump and valve, setting a flow rate range, a pressure range, a particle concentration and a particle size distribution, performing erosion wear on the titanium alloy pump and valve based on the titanium alloy pump and valve, the flow rate range, the pressure range, the particle concentration and the particle size distribution to obtain a worn workpiece, performing a three-dimensional scan based on the worn workpiece to obtain a wear morphology image; constructing an erosion simulation model based on the titanium alloy pump and valve, calculating the particle impact force, calculating the wear depth using the particle impact force, and calculating the particle kinetic energy; constructing a simulated wear depth histogram based on the wear depth and the particle kinetic energy; Calculate the height gradient, set the gradient dynamic threshold, segment the wear morphology image according to the height gradient and the gradient dynamic threshold, and obtain the gradient segmentation image; set the depth dynamic threshold, calculate the depth information, segment the gradient segmentation image based on the depth dynamic threshold and the depth information, and obtain the actual wear distribution map; mark based on the actual wear distribution map to obtain the marked area, calculate the wear degree of the marked area, and construct an actual wear depth histogram based on the wear degree; adjust the erosion simulation model based on the actual wear depth histogram and the simulated wear depth histogram to obtain the adjusted erosion simulation model, and complete the numerical simulation.

[0006] Optionally, the calculation of the particle impact force and the calculation of the wear depth using the particle impact force include: setting a parameter detection unit, wherein the parameter detection unit includes: a high-speed acquisition unit, a density measurement unit and a diameter scanning unit; based on the high-speed acquisition unit, the particle impact time is collected, and the particle impact speed and the particle impact angle are recorded, and the particle density is measured using the density measurement unit; the particle diameter is scanned using the diameter scanning unit to obtain the time parameter, the damping coefficient and the impact force coefficient, and the particle impact force is calculated based on the particle impact time, the particle impact speed, the particle impact angle, the particle density, the particle diameter, the damping coefficient and the impact force coefficient: ,in, The particle impact force, refers to the particle impact time, The impact force coefficient, Refers to the particle density, Refers to the particle diameter, The time parameter is The particle impact velocity at Refers to the natural constants, is the damping coefficient, refers to the particle impact angle, Refers to the time parameter; sets the maximum particle size and the minimum particle size, and calculates the wear depth based on the particle concentration, particle impact force, particle impact time, maximum particle size, minimum particle size and particle impact angle.

[0007] Optionally, the calculating the wear depth based on the particle concentration, particle impact force, particle impact time, maximum particle size, minimum particle size and particle impact angle includes: obtaining the pump valve yield strength, pump valve hardness, wear coefficient and attenuation coefficient, and calculating the wear depth based on the particle concentration, particle impact force, particle impact time, maximum particle size, minimum particle size, particle impact angle, pump valve yield strength, pump valve hardness, wear coefficient, particle diameter and attenuation coefficient: ,in, Refers to the wear depth, Refers to the wear coefficient, Refers to the minimum particle size, Refers to the maximum particle size, Refers to the particle concentration, Refers to the yield strength of pump valves. Refers to the hardness of the pump valve. Refers to the attenuation coefficient.

[0008] Optionally, the calculating the particle kinetic energy includes: obtaining turbulence parameters, fluid density and fluid viscosity coefficient, and calculating the particle kinetic energy based on the particle density, particle impact velocity, particle diameter, turbulence parameters, fluid density and fluid viscosity coefficient: ,in, The kinetic energy of the particle, refers to the turbulence parameter, Refers to the particle diameter, Refers to the fluid viscosity coefficient, Refers to the density of the fluid.

[0009] Optionally, constructing a simulated wear depth histogram based on the wear depth and particle kinetic energy includes: setting a wear mark and obtaining the total number of particles, identifying based on the wear mark to obtain identified particles, obtaining a wear depth range, dividing the wear depth range into intervals to obtain wear depth intervals; constructing a corrected weighted parameter based on the particle kinetic energy and particle impact force; and constructing a belonging function: when hour: ,when hour: ,in, Wear mark The wear depth at Refers to the wear mark, Refers to the wear depth range, Refers to the attribution function; based on the modified weighted parameter, attribution function, wear mark, total number of particles, wear depth interval and wear depth calculation interval wear contribution value: ,in, Refers to the interval wear contribution value, Refers to the total number of particles, Wear mark ; construct the wear horizontal axis and the wear vertical axis, confirm the wear depth interval as the wear horizontal axis, confirm the interval wear contribution value as the wear vertical axis, and construct a wear depth histogram based on the wear depth interval, the wear horizontal axis, the interval wear contribution value and the wear vertical axis. Optionally, constructing the corrected weighted parameters based on the particle kinetic energy and particle impact force includes: obtaining the maximum impact force and the maximum kinetic energy, setting the impact wear factor and the kinetic energy wear factor, and constructing the corrected weighted parameters based on the wear mark, particle impact time, particle kinetic energy, particle impact force, maximum impact force, maximum kinetic energy, impact wear factor and kinetic energy wear factor: ,in, Wear mark The particle impact force at Refers to the maximum impact force, refers to the impact wear factor, Wear mark The particle impact time is Wear mark The particle kinetic energy, Refers to the maximum kinetic energy, Refers to the kinetic wear factor.

[0010] Optionally, the calculating of the height gradient, setting of the gradient dynamic threshold, segmenting the wear topography image according to the height gradient and the gradient dynamic threshold, and obtaining the gradient segmented image, includes: setting the pixel horizontal coordinate and the pixel vertical coordinate, calculating the horizontal partial derivative, the vertical partial derivative and the normal partial derivative, obtaining the normal angle, the normal direction parameter, the horizontal axis flatness parameter and the vertical axis flatness parameter, and calculating the height gradient based on the pixel horizontal coordinate, the pixel vertical coordinate, the horizontal partial derivative, the vertical partial derivative, the normal partial derivative, the normal angle, the normal direction parameter, the horizontal axis flatness parameter and the vertical axis flatness parameter: ,in, The horizontal coordinate of the pixel is , the pixel vertical coordinate is , the normal angle is The height gradient at refers to the horizontal axis flatness parameter, Refers to the horizontal partial derivative, refers to the vertical axis flatness parameter, Refers to the vertical partial guide, Refers to the normal direction parameter, Refers to the normal derivative; based on the height gradient, the gradient mean and gradient standard deviation are calculated, dynamic parameters are set, and the gradient dynamic threshold is set according to the gradient mean, gradient standard deviation and dynamic parameters: ,in, refers to the gradient dynamic threshold, refers to the mean gradient, Refers to dynamic parameters, Refers to the standard deviation of the gradient; a segmentation function is constructed based on the height gradient and the gradient dynamic threshold: when hour, ,when hour, ,in, The horizontal coordinate of the pixel is , the pixel vertical coordinate is , the normal angle is The wear morphology image is segmented based on the segmentation function to obtain a gradient segmentation image.

[0011] Optionally, constructing an actual wear depth histogram based on the degree of wear includes: summarizing based on the degree of wear to obtain an actual wear set; constructing an actual wear horizontal axis and an actual wear vertical axis, confirming the wear depth interval as the actual wear horizontal axis, and confirming the actual wear set as the actual wear vertical axis; constructing an actual wear depth histogram based on the actual wear horizontal axis and the actual wear vertical axis.

[0012] Optionally, the erosion simulation model is adjusted based on the actual wear depth histogram and the simulated wear depth histogram to obtain the adjusted erosion simulation model, including: setting a difference threshold and a model state, obtaining a grid density, marking based on the wear depth interval to obtain a wear index, and counting the total number of intervals and the actual wear contribution value according to the actual wear depth histogram and the simulated wear depth histogram, wherein the model state includes: a normal state and a deviation state; and calculating a contribution difference value based on the wear index, the total number of intervals, the interval wear contribution value and the actual wear contribution value: ,in, refers to the contribution difference value, refers to the wear index, |*| refers to the absolute value symbol, Refers to the total number of intervals, The wear index is The wear contribution value of the interval is The wear index is The actual wear contribution value at that time; judging whether the contribution difference value is greater than the difference threshold; if the contribution difference value is not greater than the difference threshold, confirming that the model state of the erosion simulation model is a normal state; if the contribution difference value is greater than the difference threshold, confirming that the model state of the erosion simulation model is a deviation state, and increasing the grid density by 10% to obtain an adjusted density; completing the adjustment based on the adjusted density to obtain an adjusted erosion simulation model.

[0013] To achieve the above-mentioned purpose, the present invention also provides a numerical simulation system based on the erosion wear of titanium alloy pumps and valves, including: a morphology image scanning module, used to obtain the titanium alloy pumps and valves, set the flow rate range, pressure range, particle concentration and particle size distribution, perform erosion wear on the titanium alloy pumps and valves based on the titanium alloy pumps and valves, flow rate range, pressure range, particle concentration and particle size distribution to obtain a worn workpiece, perform a three-dimensional scan based on the worn workpiece to obtain a wear morphology image; a simulation image construction module, used to construct an erosion simulation model based on the titanium alloy pumps and valves, calculate the particle impact force, calculate the wear depth using the particle impact force, and calculate the particle kinetic energy; construct a simulated wear depth histogram based on the wear depth and particle kinetic energy; The actual image construction module is used to calculate the height gradient, set the gradient dynamic threshold, and segment the wear morphology image according to the height gradient and the gradient dynamic threshold to obtain a gradient segmented image; set the depth dynamic threshold, calculate the depth information, and segment the gradient segmented image based on the depth dynamic threshold and the depth information to obtain an actual wear distribution map; mark based on the actual wear distribution map to obtain a marked area, calculate the degree of wear of the marked area, and construct an actual wear depth histogram based on the wear degree; the simulation model adjustment module is used to adjust the erosion simulation model based on the actual wear depth histogram and the simulated wear depth histogram to obtain an adjusted erosion simulation model and complete the numerical simulation.

[0014] In order to solve the above problems, the present invention also provides an electronic device, which includes: a memory storing at least one instruction; a processor executing the instructions stored in the memory to implement the above-mentioned numerical simulation method based on erosion and wear of titanium alloy pump valves.

[0015] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned numerical simulation method based on erosion and wear of titanium alloy pump valves.

[0016] The present invention solves the problems described in the background technology. Firstly, based on the titanium alloy pump valve, flow rate range, pressure range, particle concentration and particle size distribution, the titanium alloy pump valve is subjected to erosion wear to obtain a worn workpiece. By setting the flow rate range, pressure range, particle concentration and particle size distribution, data support consistent with the actual situation is provided for subsequent operations. By obtaining the actual worn workpiece, the wear data source is ensured to be reliable, laying a foundation for the verification and optimization of numerical simulation. Secondly, three-dimensional scanning is performed based on the worn workpiece to obtain a wear morphology image. The three-dimensional scanning technology can capture the microscopic morphology of the worn surface with high precision, avoid human measurement errors, and improve the credibility of the measurement data. The wear morphology image provides accurate input data for subsequent morphology analysis, gradient segmentation and depth evaluation. Afterwards, an erosion simulation model is constructed based on the titanium alloy pump valve, and the particle impact force, wear depth and particle kinetic energy are calculated. The calculation of the particle impact force, wear depth and particle kinetic energy and the construction of the erosion simulation model provide a basis for the construction of a simulated wear depth histogram. By calculating the particle kinetic energy, the effect of suspended particles on the titanium alloy pump valve can be quantified. The contribution of wear; further, based on the wear depth and particle kinetic energy, a simulated wear depth histogram is constructed, and the simulated wear depth histogram can intuitively represent the contribution value of suspended particles to wear in the wear depth interval; then, the wear morphology image is segmented to obtain a gradient segmentation image, and the wear morphology image is segmented by the height gradient and the gradient dynamic threshold, which can accurately segment the wear area and the unworn area, and effectively remove noise interference; then, based on the depth dynamic threshold and depth information, the gradient segmentation image is segmented to obtain the actual wear distribution map, and the gradient segmentation image is further segmented by the depth information and the depth dynamic threshold, which improves the accuracy of the actual wear distribution map and is conducive to the subsequent construction of the actual wear depth histogram; finally, the actual wear depth histogram is constructed, and the erosion simulation model is adjusted according to the actual wear depth histogram and the simulated wear depth histogram, and the erosion simulation model is adjusted by comparing the actual and simulated wear depth histograms, so that the output of the erosion simulation model gradually approaches the actual wear result, realizing closed-loop optimization, and significantly improving the accuracy of numerical simulation. Therefore, the present invention can improve the accuracy of numerical simulation of erosion wear of titanium alloy pump valves. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic flow chart of a numerical simulation method for erosion wear of titanium alloy pump valves provided in one embodiment of the present invention; Figure 2 A functional module diagram of a numerical simulation system for erosion and wear of titanium alloy pumps and valves provided in one embodiment of the present invention; Figure 3 A schematic diagram of the structure of an electronic device for implementing the numerical simulation method of erosion wear of titanium alloy pump valves provided in one embodiment of the present invention.

[0018] Explanation of the reference numerals: 1. electronic device; 10. processor; 11. memory; 12. bus.

[0019] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0021] The embodiment of the present application provides a numerical simulation method based on erosion and wear of titanium alloy pump valves. The execution subject of the numerical simulation method based on erosion and wear of titanium alloy pump valves includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the numerical simulation method based on erosion and wear of titanium alloy pump valves can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0022] Reference Figure 1 The figure is a flow chart of a numerical simulation method based on erosion wear of titanium alloy pumps and valves provided by an embodiment of the present invention. In this embodiment, the numerical simulation method based on erosion wear of titanium alloy pumps and valves includes: S1, obtaining a titanium alloy pump and valve, setting a flow rate range, a pressure range, a particle concentration and a particle size distribution, performing erosion wear on the titanium alloy pump and valve based on the titanium alloy pump and valve, the flow rate range, the pressure range, the particle concentration and the particle size distribution, obtaining a worn workpiece, performing a three-dimensional scan based on the worn workpiece, and obtaining a wear morphology image.

[0023] It can be explained that titanium alloy pumps and valves refer to pumps and valves made of titanium alloy materials. They are mainly used in situations that require high corrosion resistance, high strength and lightweight structure. Titanium alloy pumps and valves are widely used in chemical industry, marine engineering, aerospace, energy industry and other fields. The flow rate range refers to the speed range of the fluid flowing inside the titanium alloy pump and valve. The pressure range refers to the pressure range of the fluid flowing inside the titanium alloy pump and valve. The particle concentration refers to the proportion of the volume of suspended particles in the unit volume of fluid, and the unit is volume percentage. The higher the particle concentration, the higher the frequency of suspended particle impact on the titanium alloy pump and valve, and the more severe the wear. Suspended particles refer to Solid particles dispersed in the fluid will not settle quickly due to their own weight, but will be carried by the movement of the fluid and remain suspended. Particle size distribution refers to the size range and distribution of suspended particles in the fluid. The size range refers to the range of diameters of suspended particles. The distribution refers to the distribution of suspended particles of different size ranges in the fluid. The worn workpiece refers to the workpiece obtained after erosion and wear of titanium alloy pumps and valves. The wear morphology image refers to the image obtained by scanning the worn workpiece with a laser 3D scanner. The wear morphology image contains the shape and height information of the titanium alloy pumps and valves in three-dimensional space, which can intuitively display the condition after wear.

[0024] For example, Xiao Zhang is a numerical simulation personnel in a titanium alloy factory. One day, Xiao Zhang needs to perform data simulation on titanium alloy pumps and valves, so Xiao Zhang sets the flow rate range, pressure range, particle concentration and particle size distribution, and performs erosion and wear on the titanium alloy pumps and valves based on the set flow rate range, pressure range, particle concentration and particle size distribution to obtain the titanium alloy pumps and valves after erosion and wear. A laser three-dimensional scanner is used to scan the titanium alloy pumps and valves after erosion and wear to finally obtain a wear morphology image.

[0025] S2. Construct an erosion simulation model based on the titanium alloy pump valve, calculate the particle impact force, calculate the wear depth using the particle impact force, and calculate the particle kinetic energy.

[0026] To be explained, the erosion simulation model refers to a three-dimensional model constructed using CFD software based on the geometric structure of the titanium alloy pump and valve. The particle impact force refers to the force of the suspended particles on the titanium alloy pump and valve. The wear depth refers to the wear depth of the titanium alloy pump and valve. The particle kinetic energy refers to the kinetic energy of the suspended particles.

[0027] In detail, the particle impact force is calculated and the wear depth is calculated using the particle impact force, including: setting a parameter detection unit, wherein the parameter detection unit includes: a high-speed acquisition unit, a density measurement unit and a diameter scanning unit; based on the high-speed acquisition unit, the particle impact time is collected, and the particle impact speed and the particle impact angle are recorded, and the particle density is measured using the density measurement unit; the particle diameter is scanned using the diameter scanning unit to obtain the time parameter, the damping coefficient and the impact force coefficient, and the particle impact force is calculated based on the particle impact time, the particle impact speed, the particle impact angle, the particle density, the particle diameter, the damping coefficient and the impact force coefficient: ,in, The particle impact force, refers to the particle impact time, The impact force coefficient, Refers to the particle density, Refers to the particle diameter, The time parameter is The particle impact velocity at Refers to the natural constants, is the damping coefficient, refers to the particle impact angle, Refers to the time parameter; sets the maximum particle size and the minimum particle size, and calculates the wear depth based on the particle concentration, particle impact force, particle impact time, maximum particle size, minimum particle size and particle impact angle.

[0028] It can be explained that the parameter detection unit refers to a unit used to detect relevant parameters of titanium alloy pumps and valves. The parameter detection unit is composed of a high-speed acquisition unit, a density measurement unit and a diameter scanning unit. The high-speed acquisition unit refers to a high-speed camera, which is used to collect the particle impact time and particle impact velocity of suspended particles. The density measurement unit refers to a densitometer, which is used to measure the particle density of suspended particles. The diameter scanning unit refers to a scanning electron microscope SEM, which is used to measure the particle diameter. The particle impact time refers to the action time of suspended particles on the titanium alloy pumps and valves. The particle impact velocity refers to the velocity of the suspended particles. The particle impact angle refers to the angle at which the suspended particles contact the titanium alloy pumps and valves. The particle density refers to the density of the suspended particles. The particle diameter refers to the diameter of the suspended particles. The time parameter refers to the parameter used to express the time. The impact force coefficient refers to a dimensionless parameter, which is used to describe the intensity of the impact force generated when the suspended particles contact the titanium alloy pumps and valves. The maximum particle size refers to the maximum diameter of the suspended particles. The minimum particle size refers to the minimum diameter of the suspended particles.

[0029] In detail, the wear depth is calculated based on the particle concentration, particle impact force, particle impact time, maximum particle size, minimum particle size and particle impact angle, including: obtaining pump valve yield strength, pump valve hardness, wear coefficient and attenuation coefficient, and calculating the wear depth based on the particle concentration, particle impact force, particle impact time, maximum particle size, minimum particle size, particle impact angle, pump valve yield strength, pump valve hardness, wear coefficient, particle diameter and attenuation coefficient: ,in, Refers to the wear depth, Refers to the wear coefficient, Refers to the minimum particle size, Refers to the maximum particle size, Refers to the particle concentration, Refers to the yield strength of pump valves. Refers to the hardness of the pump valve. Refers to the attenuation coefficient.

[0030] It can be explained that the yield strength of the pump valve refers to the minimum stress value for plastic deformation of the titanium alloy pump valve, the pump valve hardness refers to a parameter that describes the ability of the titanium alloy pump valve to resist external force impact, the wear coefficient refers to a parameter that quantifies the intensity of the wear process, the wear process refers to the process in which suspended particles impact the titanium alloy pump valve, and the attenuation coefficient refers to a parameter that describes the energy loss caused by the contact between the suspended particles and the titanium alloy pump valve.

[0031] In detail, the calculation of particle kinetic energy includes: obtaining turbulence parameters, fluid density and fluid viscosity coefficient, and calculating the particle kinetic energy based on the particle density, particle impact velocity, particle diameter, turbulence parameters, fluid density and fluid viscosity coefficient: ,in, The kinetic energy of the particle, refers to the turbulence parameter, Refers to the particle diameter, Refers to the fluid viscosity coefficient, Refers to the density of the fluid.

[0032] It can be explained that turbulence parameters refer to parameters that reflect the intensity of turbulence, fluid density refers to the density of the fluid, fluid viscosity coefficient refers to the degree of resistance of the internal viscosity of the fluid to the flow, the internal viscosity of the fluid refers to the viscosity in the fluid, also known as viscous force, and resistance refers to the resistance of the fluid to movement.

[0033] S3. constructing a simulated wear depth histogram based on the wear depth and particle kinetic energy.

[0034] Interpretable, simulated wear depth histogram refers to a histogram that intuitively represents the interval wear contribution value, the interval wear contribution value refers to the contribution value of suspended particles to wear in the wear depth interval, the wear depth interval refers to the interval obtained after dividing the wear depth range, and the wear depth range refers to the pre-set wear depth range.

[0035] In detail, the construction of a simulated wear depth histogram based on the wear depth and particle kinetic energy includes: setting a wear mark and obtaining the total number of particles, marking based on the wear mark to obtain marked particles, obtaining a wear depth range, dividing the wear depth range into intervals to obtain wear depth intervals; constructing a corrected weighted parameter based on the particle kinetic energy and particle impact force; and constructing a belonging function: when hour: ,when hour: ,in, Wear mark The wear depth at Refers to the wear mark, Refers to the wear depth range, Refers to the attribution function; based on the modified weighted parameter, attribution function, wear mark, total number of particles, wear depth interval and wear depth calculation interval wear contribution value: ,in, Refers to the interval wear contribution value, Refers to the total number of particles, Wear mark The correction weighted parameters when the wear depth is less than 0.05% are calculated; construct a wear horizontal axis and a wear vertical axis, confirm the wear depth interval as the wear horizontal axis, and confirm the interval wear contribution value as the wear vertical axis, and construct a wear depth histogram based on the wear depth interval, the wear horizontal axis, the interval wear contribution value and the wear vertical axis.

[0036] It can be explained that the wear mark refers to the parameter for marking the suspended particles, the total number of particles refers to the total number of suspended particles, the marked particles refer to the suspended particles obtained after marking the suspended particles based on the wear mark, and the belonging function refers to the function for judging the belonging between the marked particles and the wear depth interval. When the belonging function is 1, it means that the marked particles are in the current wear depth interval. When the belonging function is 0, it means that the marked particles are not in the current wear depth interval. The wear horizontal axis refers to the horizontal axis of the wear depth histogram, and the wear vertical axis refers to the vertical axis of the wear depth histogram.

[0037] In detail, the constructing of the corrected weighted parameters based on the particle kinetic energy and the particle impact force includes: obtaining the maximum impact force and the maximum kinetic energy, setting the impact wear factor and the kinetic energy wear factor, and constructing the corrected weighted parameters based on the wear mark, the particle impact time, the particle kinetic energy, the particle impact force, the maximum impact force, the maximum kinetic energy, the impact wear factor and the kinetic energy wear factor: ,in, Wear mark The particle impact force at Refers to the maximum impact force, refers to the impact wear factor, Wear mark The particle impact time is Wear mark The particle kinetic energy, Refers to the maximum kinetic energy, Refers to the kinetic wear factor.

[0038] It can be explained that the maximum impact force refers to the maximum particle impact force, the maximum kinetic energy refers to the maximum particle kinetic energy, the impact wear factor refers to the parameter that controls the influence of the particle impact force on the interval wear contribution value, and the kinetic energy wear factor refers to the parameter that controls the influence of the particle kinetic energy on the interval wear contribution value.

[0039] S4, calculating the height gradient, setting the gradient dynamic threshold, and segmenting the wear morphology image according to the height gradient and the gradient dynamic threshold to obtain a gradient segmented image.

[0040] It can be explained that the height gradient refers to the rate of change of pixel values ​​in the wear morphology image, which reflects the details of the wear morphology image and can help identify the wear area. The gradient dynamic threshold refers to the parameter used to distinguish between worn areas and unworn areas. When the height gradient of a pixel point in the wear morphology image is greater than the gradient dynamic threshold, it means that the pixel point is a worn area in the wear morphology image, which improves the accuracy of image segmentation. The gradient segmented image refers to the image obtained after segmentation according to the height gradient and the gradient dynamic threshold.

[0041] In detail, the height gradient is calculated, a gradient dynamic threshold is set, and the wear morphology image is segmented according to the height gradient and the gradient dynamic threshold to obtain a gradient segmented image, including: setting a pixel horizontal coordinate and a pixel vertical coordinate, calculating a horizontal partial derivative, a vertical partial derivative and a normal partial derivative, obtaining a normal angle, a normal direction parameter, a horizontal axis flatness parameter and a vertical axis flatness parameter, and calculating the height gradient based on the pixel horizontal coordinate, the pixel vertical coordinate, the horizontal partial derivative, the vertical partial derivative, the normal partial derivative, the normal angle, the normal direction parameter, the horizontal axis flatness parameter and the vertical axis flatness parameter: ,in, The horizontal coordinate of the pixel is , the pixel vertical coordinate is , the normal angle is The height gradient at refers to the horizontal axis flatness parameter, Refers to the horizontal partial derivative, refers to the vertical axis flatness parameter, Refers to the vertical partial guide, Refers to the normal direction parameter, Refers to the normal derivative; based on the height gradient, the gradient mean and gradient standard deviation are calculated, dynamic parameters are set, and the gradient dynamic threshold is set according to the gradient mean, gradient standard deviation and dynamic parameters: ,in, refers to the gradient dynamic threshold, refers to the mean gradient, Refers to dynamic parameters, Refers to the standard deviation of the gradient; a segmentation function is constructed based on the height gradient and the gradient dynamic threshold: when hour, ,when hour, ,in, The horizontal coordinate of the pixel is , the pixel vertical coordinate is , the normal angle is The wear morphology image is segmented based on the segmentation function to obtain a gradient segmentation image.

[0042] Explainable, the pixel abscissa refers to the abscissa of the pixel point in the wear topography image, the pixel ordinate refers to the ordinate of the pixel point in the wear topography image, the horizontal derivative refers to the rate of change of the grayscale in the horizontal direction of the wear topography image, the vertical derivative refers to the rate of change of the grayscale in the vertical direction of the wear topography image, the horizontal derivative and the vertical derivative reflect the local changes in the wear topography image, the normal derivative refers to the rate of change of the grayscale in the normal vector direction in the wear topography image, the normal angle refers to the angle of the normal vector direction, the normal vector direction refers to the direction from the vertical direction to the outside in the wear topography image, and the normal direction parameter refers to the parameter used to control the effect of the normal derivative on the height gradient. The horizontal axis flatness parameter refers to the parameter used to control the influence of the horizontal partial derivative on the height gradient, the vertical axis flatness parameter refers to the parameter used to control the influence of the vertical partial derivative on the height gradient, the gradient mean refers to the mean of the height gradient, the gradient standard deviation refers to the standard deviation of the height gradient, the dynamic parameter refers to the parameter used to control the influence of the gradient standard deviation on the gradient dynamic threshold, the segmentation function refers to the function used to perform preliminary segmentation on the wear morphology image, when the segmentation function is 1, it indicates that the pixel point is a worn area in the wear morphology image, and when the segmentation function is 0, it indicates that the pixel point is an unworn area in the wear morphology image.

[0043] S5. Set a depth dynamic threshold, calculate depth information, and segment the gradient segmentation image based on the depth dynamic threshold and the depth information to obtain an actual wear distribution map.

[0044] It can be explained that the depth dynamic threshold refers to a parameter used to further divide the gradient segmentation image, the depth information refers to the wear depth of the pixel points in the gradient segmentation image, and the actual wear distribution map refers to the image obtained after further dividing the gradient segmentation image according to the depth dynamic threshold and the depth information, which can clearly and accurately represent the worn area.

[0045] It can be understood that segmenting the gradient segmentation image based on the depth dynamic threshold and depth information to obtain the actual wear distribution map means constructing a depth segmentation function based on the depth dynamic threshold and depth information: when hour, ,when hour, ,in, The horizontal coordinate of the pixel is , the pixel vertical coordinate is , the normal angle is The depth information of refers to the depth dynamic threshold, The horizontal coordinate of the pixel is , the pixel vertical coordinate is , the normal angle is The depth segmentation function when .

[0046] Further, the gradient segmentation image is segmented again based on the depth segmentation function. , indicating that the pixel horizontal coordinate is , the pixel vertical coordinate is , the normal angle is The pixel point is a worn area in the gradient segmentation image. , indicating that the pixel horizontal coordinate is , the pixel vertical coordinate is , the normal angle is The pixel point is an unworn area in the gradient segmentation image, and the depth segmentation function refers to a function that segments the gradient segmentation image based on depth information and a depth dynamic threshold.

[0047] S6. Marking is performed based on the actual wear distribution map to obtain a marked area, the wear degree of the marked area is calculated, and an actual wear depth histogram is constructed based on the wear degree.

[0048] Interpretable, the marked area refers to the area obtained by marking the wear area in the actual wear distribution map, the wear area refers to the area obtained by segmentation by the depth segmentation function, the wear degree refers to the interval wear contribution value of the marked area, and the actual wear depth histogram refers to the histogram that intuitively represents the wear degree in the marked area.

[0049] In detail, the actual wear depth histogram based on the wear degree is constructed, including: summarizing based on the wear degree to obtain an actual wear set; constructing an actual wear horizontal axis and an actual wear vertical axis, confirming the wear depth range as the actual wear horizontal axis, and confirming the actual wear set as the actual wear vertical axis; constructing an actual wear depth histogram based on the actual wear horizontal axis and the actual wear vertical axis.

[0050] Interpretable, the actual wear set refers to the set obtained by summarizing the wear degrees, the actual wear horizontal axis refers to the horizontal axis of the actual wear depth histogram, and the actual wear vertical axis refers to the vertical axis of the actual wear depth histogram.

[0051] S7. Adjust the erosion simulation model based on the actual wear depth histogram and the simulated wear depth histogram to obtain an adjusted erosion simulation model, and complete the numerical simulation.

[0052] The interpretable, adjusted erosion simulation model refers to a model obtained after adjusting the erosion simulation model.

[0053] In detail, the erosion simulation model is adjusted based on the actual wear depth histogram and the simulated wear depth histogram to obtain the adjusted erosion simulation model, including: setting a difference threshold and a model state, obtaining a grid density, marking based on the wear depth interval, obtaining a wear index, and counting the total number of intervals and the actual wear contribution value according to the actual wear depth histogram and the simulated wear depth histogram, wherein the model state includes: a normal state and a deviation state; and calculating a contribution difference value based on the wear index, the total number of intervals, the interval wear contribution value and the actual wear contribution value: ,in, refers to the contribution difference value, refers to the wear index, |*| refers to the absolute value symbol, Refers to the total number of intervals, The wear index is The wear contribution value of the interval is The wear index is The actual wear contribution value at that time; judging whether the contribution difference value is greater than the difference threshold; if the contribution difference value is not greater than the difference threshold, confirming that the model state of the erosion simulation model is a normal state; if the contribution difference value is greater than the difference threshold, confirming that the model state of the erosion simulation model is a deviation state, and increasing the grid density by 10% to obtain an adjusted density; completing the adjustment based on the adjusted density to obtain an adjusted erosion simulation model.

[0054] Explainable, the difference threshold refers to a maximum value for judging the contribution difference value. When the contribution difference value is greater than the difference threshold, it means that the deviation is large and the erosion simulation model needs to be adjusted. The contribution difference value refers to the absolute value of the difference between the interval wear contribution value and the actual wear contribution value. The model state refers to the state of the erosion simulation model, including: normal state and deviation state. The normal state indicates that the state of the erosion simulation model is stable and does not need to be adjusted. The deviation state indicates that the erosion simulation model needs to be adjusted. The grid density refers to the density of the grid cells in the erosion simulation model. The grid cell refers to the small, discrete area obtained by dividing the calculation area. The calculation area refers to the pump valve surface and fluid channel in the erosion simulation model. The pump valve surface refers to the surface of the titanium alloy pump valve simulated by the erosion simulation model. The fluid channel refers to the channel for fluid flow simulated by the erosion simulation model. The wear index refers to the parameter for traversing the wear depth interval. The total number of intervals refers to the total number of wear depth intervals. The actual wear contribution value refers to the contribution value of suspended particles to wear in the wear depth interval in the actual wear depth histogram. The adjusted density refers to the density obtained after increasing the grid density.

[0055] The present invention solves the problems described in the background technology. Firstly, based on the titanium alloy pump valve, flow rate range, pressure range, particle concentration and particle size distribution, the titanium alloy pump valve is subjected to erosion wear to obtain a worn workpiece. By setting the flow rate range, pressure range, particle concentration and particle size distribution, data support consistent with the actual situation is provided for subsequent operations. By obtaining the actual worn workpiece, the wear data source is ensured to be reliable, laying a foundation for the verification and optimization of numerical simulation. Secondly, three-dimensional scanning is performed based on the worn workpiece to obtain a wear morphology image. The three-dimensional scanning technology can capture the microscopic morphology of the worn surface with high precision, avoid human measurement errors, and improve the credibility of the measurement data. The wear morphology image provides accurate input data for subsequent morphology analysis, gradient segmentation and depth evaluation. Afterwards, an erosion simulation model is constructed based on the titanium alloy pump valve, and the particle impact force, wear depth and particle kinetic energy are calculated. The calculation of the particle impact force, wear depth and particle kinetic energy and the construction of the erosion simulation model provide a basis for the construction of a simulated wear depth histogram. By calculating the particle kinetic energy, the effect of suspended particles on the titanium alloy pump valve can be quantified. The contribution of wear; further, based on the wear depth and particle kinetic energy, a simulated wear depth histogram is constructed, and the simulated wear depth histogram can intuitively represent the contribution value of suspended particles to wear in the wear depth interval; then, the wear morphology image is segmented to obtain a gradient segmentation image, and the wear morphology image is segmented by the height gradient and the gradient dynamic threshold, which can accurately segment the wear area and the unworn area, and effectively remove noise interference; then, based on the depth dynamic threshold and depth information, the gradient segmentation image is segmented to obtain the actual wear distribution map, and the gradient segmentation image is further segmented by the depth information and the depth dynamic threshold, which improves the accuracy of the actual wear distribution map and is conducive to the subsequent construction of the actual wear depth histogram; finally, the actual wear depth histogram is constructed, and the erosion simulation model is adjusted according to the actual wear depth histogram and the simulated wear depth histogram, and the erosion simulation model is adjusted by comparing the actual and simulated wear depth histograms, so that the output of the erosion simulation model gradually approaches the actual wear result, realizing closed-loop optimization, and significantly improving the accuracy of numerical simulation. Therefore, the present invention can improve the accuracy of numerical simulation of erosion wear of titanium alloy pump valves.

[0056] like Figure 2 1 is a functional module diagram of a numerical simulation system for erosion and wear of titanium alloy pumps and valves provided in one embodiment of the present invention.

[0057] The numerical simulation system 100 based on erosion wear of titanium alloy pump valves of the present invention can be installed in an electronic device. According to the functions to be implemented, the numerical simulation system 100 based on erosion wear of titanium alloy pump valves can include a morphology image scanning module 101, a simulation image construction module 102, an actual image construction module 103 and a simulation model adjustment module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0058] The morphology image scanning module 101 is used to obtain the titanium alloy pump valve, set the flow rate range, pressure range, particle concentration and particle size distribution, and perform erosion wear on the titanium alloy pump valve based on the titanium alloy pump valve, flow rate range, pressure range, particle concentration and particle size distribution to obtain a worn workpiece, and perform a three-dimensional scan based on the worn workpiece to obtain a wear morphology image; the simulation image construction module 102 is used to construct an erosion simulation model based on the titanium alloy pump valve, calculate the particle impact force, calculate the wear depth using the particle impact force, and calculate the particle kinetic energy; construct a simulated wear depth histogram based on the wear depth and particle kinetic energy; the actual image construction module 103 is used to calculate high The height gradient is set, and the gradient dynamic threshold is set. The wear morphology image is segmented according to the height gradient and the gradient dynamic threshold to obtain a gradient segmented image; the depth dynamic threshold is set, and the depth information is calculated. The gradient segmented image is segmented based on the depth dynamic threshold and the depth information to obtain an actual wear distribution map; based on the actual wear distribution map, marking is performed to obtain a marked area, the degree of wear in the marked area is calculated, and an actual wear depth histogram is constructed based on the wear degree; the simulation model adjustment module 104 is used to adjust the erosion simulation model based on the actual wear depth histogram and the simulated wear depth histogram to obtain an adjusted erosion simulation model and complete the numerical simulation.

[0059] In detail, the modules in the numerical simulation system 100 based on erosion wear of titanium alloy pump valves in the embodiment of the present invention are used in the same manner as above. Figure 1 The same technical means are used as the numerical simulation method based on erosion and wear of titanium alloy pump valves described in , and can produce the same technical effects, so they will not be repeated here.

[0060] like Figure 3 , which is a schematic diagram of the structure of an electronic device for implementing a numerical simulation method for erosion wear of titanium alloy pump valves provided by an embodiment of the present invention.

[0061] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a numerical simulation method program based on erosion wear of titanium alloy pump valves.

[0062] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the numerical simulation method program based on the erosion wear of titanium alloy pump valves, etc., but also can be used to temporarily store data that has been output or is to be output.

[0063] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (for example, a numerical simulation method program based on erosion wear of titanium alloy pump valves, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0064] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0065] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0066] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0067] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0068] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0069] The numerical simulation method program based on erosion and wear of titanium alloy pumps and valves stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve: obtaining titanium alloy pumps and valves, setting the flow rate range, pressure range, particle concentration and particle size distribution, performing erosion and wear on the titanium alloy pumps and valves based on the titanium alloy pumps and valves, flow rate range, pressure range, particle concentration and particle size distribution to obtain a worn workpiece, performing three-dimensional scanning based on the worn workpiece to obtain a wear morphology image; constructing an erosion simulation model based on the titanium alloy pumps and valves, calculating the particle impact force, calculating the wear depth using the particle impact force, and calculating the particle kinetic energy; calculating the wear depth and particle kinetic energy based on the wear depth and particle The method constructs a simulated wear depth histogram based on particle kinetic energy; calculates the height gradient, sets the gradient dynamic threshold, and segments the wear morphology image according to the height gradient and the gradient dynamic threshold to obtain a gradient segmented image; sets the depth dynamic threshold, calculates the depth information, and segments the gradient segmented image based on the depth dynamic threshold and the depth information to obtain an actual wear distribution map; marks the actual wear distribution map to obtain a marked area, calculates the degree of wear of the marked area, and constructs an actual wear depth histogram based on the wear degree; adjusts the erosion simulation model based on the actual wear depth histogram and the simulated wear depth histogram to obtain an adjusted erosion simulation model, and completes the numerical simulation.

[0070] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0071] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0072] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor of an electronic device, it can achieve the following: obtaining a titanium alloy pump valve, setting a flow rate range, a pressure range, a particle concentration, and a particle size distribution, performing erosion wear on the titanium alloy pump valve based on the titanium alloy pump valve, the flow rate range, the pressure range, the particle concentration, and the particle size distribution to obtain a worn workpiece, performing a three-dimensional scan based on the worn workpiece to obtain a wear morphology image; constructing an erosion simulation model based on the titanium alloy pump valve, calculating the particle impact force, calculating the wear depth using the particle impact force, and calculating the particle kinetic energy; calculating the wear depth and particle kinetic energy based on the wear depth and particle kinetic energy It can construct a simulated wear depth histogram; calculate the height gradient, set the gradient dynamic threshold, segment the wear morphology image according to the height gradient and the gradient dynamic threshold, and obtain a gradient segmented image; set the depth dynamic threshold, calculate the depth information, segment the gradient segmented image based on the depth dynamic threshold and the depth information, and obtain an actual wear distribution map; mark based on the actual wear distribution map to obtain a marked area, calculate the wear degree of the marked area, and construct an actual wear depth histogram based on the wear degree; adjust the erosion simulation model based on the actual wear depth histogram and the simulated wear depth histogram to obtain an adjusted erosion simulation model, and complete the numerical simulation.

[0073] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0074] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0075] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0076] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0077] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A numerical simulation method based on erosion wear of titanium alloy pump valves, characterized in that: The method comprises: obtaining a titanium alloy pump and valve, setting a flow rate range, a pressure range, a particle concentration and a particle size distribution, performing erosion wear on the titanium alloy pump and valve based on the titanium alloy pump and valve, the flow rate range, the pressure range, the particle concentration and the particle size distribution to obtain a worn workpiece, performing a three-dimensional scan based on the worn workpiece to obtain a wear morphology image; constructing an erosion simulation model based on the titanium alloy pump and valve, calculating the particle impact force, calculating the wear depth using the particle impact force, and calculating the particle kinetic energy; constructing a simulated wear depth histogram based on the wear depth and the particle kinetic energy; calculating a height gradient, setting a gradient dynamic threshold, segmenting the wear morphology image according to the height gradient and the gradient dynamic threshold to obtain a gradient segmentation image; setting a depth dynamic threshold, calculating depth information, segmenting the gradient segmentation image based on the depth dynamic threshold and the depth information to obtain an actual wear distribution map; marking based on the actual wear distribution map to obtain a marked area, calculating the wear degree of the marked area, and constructing an actual wear depth histogram based on the wear degree; adjusting the erosion simulation model based on the actual wear depth histogram and the simulated wear depth histogram to obtain an adjusted erosion simulation model, and completing numerical simulation.

2. The numerical simulation method based on erosion wear of titanium alloy pump valves according to claim 1 is characterized in that: The method of calculating the particle impact force and calculating the wear depth using the particle impact force includes: setting a parameter detection unit, wherein the parameter detection unit includes: a high-speed acquisition unit, a density measurement unit and a diameter scanning unit; collecting the particle impact time based on the high-speed acquisition unit, and recording the particle impact speed and the particle impact angle, and measuring the particle density using the density measurement unit; scanning the particle diameter using the diameter scanning unit, obtaining the time parameter, the damping coefficient and the impact force coefficient, and calculating the particle impact force based on the particle impact time, the particle impact speed, the particle impact angle, the particle density, the particle diameter, the damping coefficient and the impact force coefficient: ,in, The particle impact force, refers to the particle impact time, The impact force coefficient, Refers to the particle density, Refers to the particle diameter, The time parameter is The particle impact velocity at Refers to the natural constants, is the damping coefficient, refers to the particle impact angle, Refers to the time parameter; The maximum particle size and the minimum particle size are set, and the wear depth is calculated based on the particle concentration, particle impact force, particle impact time, maximum particle size, minimum particle size and particle impact angle.

3. The numerical simulation method based on erosion wear of titanium alloy pump valves as claimed in claim 2 is characterized in that: The calculation of the wear depth based on the particle concentration, particle impact force, particle impact time, maximum particle size, minimum particle size and particle impact angle includes: obtaining the pump valve yield strength, pump valve hardness, wear coefficient and attenuation coefficient, and calculating the wear depth based on the particle concentration, particle impact force, particle impact time, maximum particle size, minimum particle size, particle impact angle, pump valve yield strength, pump valve hardness, wear coefficient, particle diameter and attenuation coefficient: ,in, Refers to the wear depth, Refers to the wear coefficient, Refers to the minimum particle size, Refers to the maximum particle size, Refers to the particle concentration, Refers to the yield strength of pump valves. Refers to the hardness of the pump valve. Refers to the attenuation coefficient.

4. The numerical simulation method based on erosion wear of titanium alloy pump valves as claimed in claim 3 is characterized in that: The calculating of the particle kinetic energy includes: obtaining turbulence parameters, fluid density and fluid viscosity coefficient, and calculating the particle kinetic energy based on the particle density, particle impact velocity, particle diameter, turbulence parameters, fluid density and fluid viscosity coefficient: ,in, The kinetic energy of the particle, refers to the turbulence parameter, Refers to the particle diameter, Refers to the fluid viscosity coefficient, Refers to the density of the fluid.

5. The numerical simulation method based on erosion wear of titanium alloy pump valves as claimed in claim 4 is characterized in that: The method of constructing a simulated wear depth histogram based on the wear depth and particle kinetic energy includes: setting a wear mark and obtaining the total number of particles, identifying particles based on the wear mark to obtain identified particles, obtaining a wear depth range, dividing the wear depth range into intervals to obtain wear depth intervals; constructing a corrected weighted parameter based on the particle kinetic energy and particle impact force; and constructing a belonging function: when hour: ,when hour: ,in, Wear mark The wear depth at Refers to the wear mark, Refers to the wear depth range, Refers to the attribution function; based on the modified weighted parameter, attribution function, wear mark, total number of particles, wear depth interval and wear depth calculation interval wear contribution value: ,in, Refers to the interval wear contribution value, Refers to the total number of particles, Wear mark The correction weighted parameters when the wear depth is less than 0.05% are calculated; construct a wear horizontal axis and a wear vertical axis, confirm the wear depth interval as the wear horizontal axis, and confirm the interval wear contribution value as the wear vertical axis, and construct a wear depth histogram based on the wear depth interval, the wear horizontal axis, the interval wear contribution value and the wear vertical axis.

6. The numerical simulation method based on erosion wear of titanium alloy pump valves as claimed in claim 5, characterized in that: The method of constructing a corrected weighted parameter based on the particle kinetic energy and the particle impact force includes: obtaining the maximum impact force and the maximum kinetic energy, setting the impact wear factor and the kinetic energy wear factor, and constructing the corrected weighted parameter based on the wear mark, the particle impact time, the particle kinetic energy, the particle impact force, the maximum impact force, the maximum kinetic energy, the impact wear factor and the kinetic energy wear factor: ,in, Wear mark The particle impact force at Refers to the maximum impact force, refers to the impact wear factor, Wear mark The particle impact time is Wear mark The particle kinetic energy, Refers to the maximum kinetic energy, Refers to the kinetic wear factor.

7. The numerical simulation method based on erosion wear of titanium alloy pump valves according to claim 6 is characterized in that: The height gradient is calculated, a gradient dynamic threshold is set, and the wear morphology image is segmented according to the height gradient and the gradient dynamic threshold to obtain a gradient segmented image, including: setting a pixel horizontal coordinate and a pixel vertical coordinate, calculating a horizontal partial derivative, a vertical partial derivative and a normal partial derivative, obtaining a normal angle, a normal direction parameter, a horizontal axis flatness parameter and a vertical axis flatness parameter, and calculating the height gradient based on the pixel horizontal coordinate, the pixel vertical coordinate, the horizontal partial derivative, the vertical partial derivative, the normal partial derivative, the normal angle, the normal direction parameter, the horizontal axis flatness parameter and the vertical axis flatness parameter: ,in, The horizontal coordinate of the pixel is , the pixel vertical coordinate is , the normal angle is The height gradient at refers to the horizontal axis flatness parameter, Refers to the horizontal partial derivative, refers to the vertical axis flatness parameter, Refers to the vertical partial guide, Refers to the normal direction parameter, Refers to the normal derivative; based on the height gradient, the gradient mean and gradient standard deviation are calculated, dynamic parameters are set, and the gradient dynamic threshold is set according to the gradient mean, gradient standard deviation and dynamic parameters: ,in, refers to the gradient dynamic threshold, refers to the mean gradient, Refers to dynamic parameters, Refers to the standard deviation of the gradient; a segmentation function is constructed based on the height gradient and the gradient dynamic threshold: when hour, ,when hour, ,in, The horizontal coordinate of the pixel is , the pixel vertical coordinate is , the normal angle is The wear morphology image is segmented based on the segmentation function to obtain a gradient segmentation image.

8. The numerical simulation method based on erosion wear of titanium alloy pump valves according to claim 7 is characterized in that: The method of constructing an actual wear depth histogram based on the degree of wear includes: summarizing based on the degree of wear to obtain an actual wear set; constructing an actual wear horizontal axis and an actual wear vertical axis, confirming the wear depth interval as the actual wear horizontal axis, and confirming the actual wear set as the actual wear vertical axis; and constructing an actual wear depth histogram based on the actual wear horizontal axis and the actual wear vertical axis.

9. The numerical simulation method based on erosion wear of titanium alloy pump valves as claimed in claim 8, characterized in that: The erosion simulation model is adjusted based on the actual wear depth histogram and the simulated wear depth histogram to obtain the adjusted erosion simulation model, including: setting a difference threshold and a model state, obtaining a grid density, marking based on the wear depth interval, obtaining a wear index, and counting the total number of intervals and the actual wear contribution value according to the actual wear depth histogram and the simulated wear depth histogram, wherein the model state includes: a normal state and a deviation state; and calculating a contribution difference value based on the wear index, the total number of intervals, the interval wear contribution value and the actual wear contribution value: ,in, refers to the contribution difference value, refers to the wear index, |*| refers to the absolute value symbol, Refers to the total number of intervals, The wear index is The wear contribution value of the interval is The wear index is The actual wear contribution value at that time; judging whether the contribution difference value is greater than the difference threshold; if the contribution difference value is not greater than the difference threshold, confirming that the model state of the erosion simulation model is a normal state; if the contribution difference value is greater than the difference threshold, confirming that the model state of the erosion simulation model is a deviation state, and increasing the grid density by 10% to obtain an adjusted density; completing the adjustment based on the adjusted density to obtain an adjusted erosion simulation model.

10. A numerical simulation system based on erosion and wear of titanium alloy pump valves, characterized in that: The system includes: a morphology image scanning module, which is used to obtain a titanium alloy pump valve, set a flow rate range, a pressure range, a particle concentration and a particle size distribution, perform erosion wear on the titanium alloy pump valve based on the titanium alloy pump valve, the flow rate range, the pressure range, the particle concentration and the particle size distribution, obtain a worn workpiece, perform a three-dimensional scan based on the worn workpiece, and obtain a wear morphology image; a simulation image construction module, which is used to construct an erosion simulation model based on the titanium alloy pump valve, calculate the particle impact force, calculate the wear depth using the particle impact force, and calculate the particle kinetic energy; construct a simulated wear depth histogram based on the wear depth and the particle kinetic energy; an actual image construction module, which is used to calculate the height Gradient, set the gradient dynamic threshold, segment the wear morphology image according to the height gradient and the gradient dynamic threshold to obtain a gradient segmented image; set the depth dynamic threshold, calculate the depth information, segment the gradient segmented image based on the depth dynamic threshold and the depth information to obtain an actual wear distribution map; mark based on the actual wear distribution map to obtain the marked area, calculate the wear degree of the marked area, and construct an actual wear depth histogram based on the wear degree; a simulation model adjustment module is used to adjust the erosion simulation model based on the actual wear depth histogram and the simulated wear depth histogram to obtain an adjusted erosion simulation model and complete the numerical simulation.

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