CN-122021480-A - Cutting edge characterization method, system and equipment based on multiphase flow coupling modeling

CN122021480ACN 122021480 ACN122021480 ACN 122021480ACN-122021480-A

Abstract

The application provides a cutting edge characterization method, a system and equipment based on multiphase flow coupling modeling, wherein the method comprises the steps of conducting geometric modeling on a nozzle and a blade to be tested, conducting grid division on the geometric modeling according to inlet and outlet boundaries, a solid area and a fluid area to form a grid model file, importing the grid model file into first simulation software, importing the grid model file into second simulation software, importing a coupling interface file to enable the first simulation software and the second simulation software to be in a connection state, starting iterative calculation until simulation is completed by setting a coupling time step length and a time step number of the first simulation software and the second simulation software, intercepting and deriving a wear depth distribution cloud image of the blade to be tested after sand blasting treatment respectively, forming discrete point set data about a wear profile according to the wear depth distribution cloud image, calculating average wear depth according to the discrete point set data, and obtaining a shape factor of the cutting edge of the blade to be tested according to the average wear depth.

Inventors

XIAO XIANGWU
Qu Yuanzhao
ZHAN JIA
PENG RUITAO
CHEN RUI
PENG JINFENG
LIU LU

Assignees

湘潭大学

Dates

Publication Date: 20260512
Application Date: 20260415

Claims (10)

1. A method for edge characterization based on multiphase flow coupling modeling, the method comprising: Performing geometric modeling on the nozzle and the blade to be tested; Performing grid division on the geometric modeling according to the inlet and outlet boundary, the solid region and the fluid region to form a grid model file; the grid model file is imported into first simulation software, an inlet boundary is set to be a pressure inlet, an outlet boundary is set to be a pressure outlet, and fluid domain parameters comprising fluid materials and turbulence models and space discrete solving settings are configured; Importing the grid model file into second simulation software, and setting physical parameters including sand blasting particles, nozzles and blades and contact parameters among contact pairs; Leading in a coupling interface file to enable the first simulation software and the second simulation software to be in a connection state, and starting iterative calculation until simulation is completed by setting the coupling time step length and the time step number of the first simulation software and the second simulation software; Respectively intercepting and guiding out wear depth distribution cloud patterns of a front cutter face and a rear cutter face of the blade to be tested after sand blasting treatment; extracting coordinate information of pixel points of the abrasion profile according to the abrasion depth distribution cloud image to form discrete point set data about the abrasion profile; calculating the average wear depth of the rake face and the average wear depth of the relief face according to the discrete point set data; and obtaining the shape factor of the cutting edge of the blade to be tested according to the average abrasion depth of the front cutter surface and the average abrasion depth of the rear cutter surface.
2. The multiphase flow coupling modeling based edge characterization method of claim 1, wherein the configuring fluid domain parameters and spatial discrete solving settings including fluid materials and turbulence models comprises: Selecting a reforming group k-epsilon model in a turbulence model to correct pulsation characteristics of a fluid domain, and adopting a standard wall function to restrict a surface flow field close to the blade to be detected; in the space discrete solving arrangement, a unit-based least square method is adopted to calculate gradient, a high-order precision format is adopted for pressure items, and a windward format is adopted for discrete solving of momentum, turbulence kinetic energy and turbulence dissipation rate so as to ensure convergence and accuracy of flow field calculation.
3. The multiphase flow coupling modeling based edge characterization method of claim 2, wherein the setting includes physical parameters of the blasting particles, the nozzles, and the blades, and contact parameters between the contact pairs, comprising: When the contact parameters are configured, a type of contact model and a standard rolling friction model are selected for the interaction among the sand blasting particles, the nozzle and the blade to be tested; And when the evolution of the surface of the blade is calculated, selecting an Arcard abrasion model and combining the relative abrasion model, and calculating tangential cumulative force generated by particle impact to represent the material removal amount of the surface of the blade to be measured, so as to simulate the morphology change in the sand blasting passivation process.
4. The multiphase flow coupling modeling based edge characterization method of claim 3, further comprising: In the discrete phase physical model, transmitting fluid power to the second simulation software through the coupling interface file, wherein the fluid power at least comprises a Safmann lifting force, a virtual mass force and a pressure gradient force so as to correct the movement track of particles in a liquid phase medium; Setting a time synchronization strategy of bidirectional coupling, setting the time step length of the first simulation software and the second simulation software as a non-equal time step length according to the difference of fluid flow speed and particle collision frequency, and realizing data exchange of a discrete phase and a continuous phase through multi-step circulation.
5. The multiphase flow coupling modeling based edge characterization method of claim 4, wherein the obtaining the shape factor of the edge of the insert to be measured according to the average wear depth of the rake face and the average wear depth of the relief face comprises: performing image digitization processing on the derived abrasion depth distribution cloud image, identifying a highlight abrasion region in the abrasion depth distribution cloud image through a graying and binarization algorithm, and automatically tracking and extracting pixel point coordinates of an abrasion edge by utilizing a boundary contour scanning program; Mapping the extracted pixel point coordinates into physical space coordinates, obtaining characteristic quantities describing the abrasion degree through a numerical integration or average value calculation method, and defining the characteristic quantities as a front tool face equivalent passivation characteristic value and a rear tool face equivalent passivation characteristic value; and carrying out the numerical characterization of the profile of the asymmetric cutting edge of the blade to be tested through the ratio operation of the equivalent passivation characterization value of the front cutter surface and the equivalent passivation characterization value of the rear cutter surface.
6. The multiphase flow coupling modeling-based edge characterization method of claim 1, wherein the geometrically modeling the nozzle and the blade to be measured comprises: establishing a relative position constraint model between an outlet of the nozzle and a cutting edge of the blade to be tested in a three-dimensional space domain; And setting the jet distance and the offset angle in the relative position constraint model according to the actual passivation process requirement so as to construct a geometric space field capable of simulating interaction of the abrasive particle motion vector and the normal vector of the cutting edge surface.
7. The method for characterizing a cutting edge based on multiphase flow coupling modeling according to claim 1, wherein the step of respectively cutting and deriving a wear depth distribution cloud image of a rake face and a relief face of the insert to be tested after sand blasting comprises the steps of: In the second simulation software, the stress distribution of the surface of the blade geometric body is converted into a depth distribution image with color gradient change by using a pseudo-color processing technology; Outputting the depth distribution image by adopting a specific image format, and carrying out gray histogram equalization on the image by utilizing an image digitizing processing tool so as to enhance the visual contrast between the edge of the worn area and the unworn substrate; And extracting pixel contours from the binarized image by a boundary tracking algorithm, and establishing a mapping relation between pixel coordinates and three-dimensional space physical coordinates.
8. The multiphase flow coupling modeling based edge characterization method of claim 1, wherein the calculating the rake face average wear depth and the relief face average wear depth from the discrete point set data comprises: Defining a characteristic sampling window in the discrete point set data, and eliminating abnormal discrete points generated by the collision randomness of discrete element particles; in the characteristic sampling window, carrying out statistical weighted average operation on all coordinate points of the front tool face and the rear tool face to obtain continuous abrasion characteristic quantity representing macroscopic morphology evolution; and calculating a shape factor reflecting the degree of deviation of the edge profile to a certain side through asymmetry coefficient conversion based on the average abrasion depth values of the front edge surface and the rear edge surface, and realizing quantitative characterization of the microscopic appearance of the complex edge.
9. A multiphase flow coupling modeling-based cutting edge characterization system, applied to the multiphase flow coupling modeling-based cutting edge characterization method according to any one of claims 1 to 8, characterized in that the system comprises: The modeling module is used for carrying out geometric modeling on the nozzle and the blade to be tested, and carrying out grid division on the geometric modeling according to the inlet and outlet boundary, the solid region and the fluid region so as to form a grid model file; The model importing module is used for importing the grid model file into first simulation software, setting an inlet boundary as a pressure inlet and an outlet boundary as a pressure outlet, and configuring fluid domain parameters including fluid materials and turbulence models and space discrete solving setting; The coupling module is used for importing a coupling interface file to enable the first simulation software and the second simulation software to be in a connection state, and starting iterative calculation until simulation is completed by setting the coupling time step length and the time step number of the first simulation software and the second simulation software; The depth statistics module is used for respectively intercepting and deriving wear depth distribution cloud patterns of the front cutter surface and the rear cutter surface of the blade to be tested after sand blasting treatment, extracting coordinate information of wear profile pixel points according to the wear depth distribution cloud patterns to form discrete point set data about the wear profile, and calculating the average wear depth of the front cutter surface and the average wear depth of the rear cutter surface according to the discrete point set data; And the cutting edge characterization module is used for acquiring the shape factor of the cutting edge of the blade to be tested according to the average abrasion depth of the front cutter surface and the average abrasion depth of the rear cutter surface.
10. An electronic device, comprising: A processor; And a memory having stored thereon computer readable instructions for controlling the processor to perform the multiphase flow coupling modeling based edge characterization method of any of claims 1 to 8.

Description

Cutting edge characterization method, system and equipment based on multiphase flow coupling modeling Technical Field The application relates to the technical field of edge characterization, in particular to an edge characterization method, an edge characterization system and edge characterization equipment based on multiphase flow coupling modeling. Background The hard alloy cutter is widely applied to the precision machining fields of aerospace, automobile manufacturing and the like by virtue of high hardness, strong wear resistance and excellent red hardness. However, the cutting edge of the tool inevitably generates micro cracks or burrs during the manufacturing process, and the defects are extremely liable to cause chipping and severe wear during use, so that passivation treatment such as sand blasting is required to optimize the edge profile, improve the microstructure and increase the life of the tool. At present, the method for researching the geometric shape of the cutting edge is mainly divided into experiments and numerical simulation, but the experimental method is difficult to observe the action effect of abrasive particles and fluid on the cutting edge on a microscopic scale in real time, and has the limitations of high cost, long period and the like. In the aspect of edge feature characterization, the traditional edge radius parameter can only reflect a local arc approximation value, asymmetric or irregularly-shaped nonlinear profile features cannot be accurately described, and the edge shape factor K can evaluate the edge quality more comprehensively, but the acquisition of the edge shape factor K mainly depends on experimental measurement or simple geometric quantification processing. Because of the complex microstructure of the cutting edge, the existing single simulation software or the traditional measurement means are difficult to completely and accurately restore the actual action condition of the liquid-solid two-phase flow in the sand blasting passivation process. Therefore, a numerical characterization method based on multiphase flow coupling modeling is needed, and the cutting edge shape evolution is accurately reduced through DEM-CFD coupling simulation, so that the standardized extraction and quantitative characterization of the cutting edge shape factor K are realized. Disclosure of Invention In view of the foregoing, there is a need for a method, system, and apparatus for edge characterization based on multiphase flow coupling modeling that overcomes at least one of the above drawbacks. In a first aspect, the present application provides a method for characterizing a cutting edge based on multiphase flow coupling modeling, the method comprising: Performing geometric modeling on the nozzle and the blade to be tested; Performing grid division on the geometric modeling according to the inlet and outlet boundary, the solid region and the fluid region to form a grid model file; the grid model file is imported into first simulation software, an inlet boundary is set to be a pressure inlet, an outlet boundary is set to be a pressure outlet, and fluid domain parameters comprising fluid materials and turbulence models and space discrete solving settings are configured; Importing the grid model file into second simulation software, and setting physical parameters including sand blasting particles, nozzles and blades and contact parameters among contact pairs; Leading in a coupling interface file to enable the first simulation software and the second simulation software to be in a connection state, and starting iterative calculation until simulation is completed by setting the coupling time step length and the time step number of the first simulation software and the second simulation software; Respectively intercepting and guiding out wear depth distribution cloud patterns of a front cutter face and a rear cutter face of the blade to be tested after sand blasting treatment; extracting coordinate information of pixel points of the abrasion profile according to the abrasion depth distribution cloud image to form discrete point set data about the abrasion profile; calculating the average wear depth of the rake face and the average wear depth of the relief face according to the discrete point set data; and obtaining the shape factor of the cutting edge of the blade to be tested according to the average abrasion depth of the front cutter surface and the average abrasion depth of the rear cutter surface. In the present application, the configuration of the fluid domain parameters and the spatial discrete solving arrangement comprising the fluid material and the turbulence model comprises the following steps: Selecting a reforming group k-epsilon model in a turbulence model to correct pulsation characteristics of a fluid domain, and adopting a standard wall function to restrict a surface flow field close to the blade to be detected; In the space discrete solving arrangement, a unit-based least