Water jet machining prediction method and apparatus

Abstract

The application discloses a water jet pressure distribution measuring device, a water jet processing prediction method and device. The prediction method comprises the following steps: calculating a water jet radial pressure distribution parameter; constructing a fitting function; determining a water jet pressure parameter of a unit area of a surface to be processed; and calculating a deformation amount of the unit area after current water jet processing. The application can construct a fitting function based on water jet radial pressure distribution information measured by the measuring device, and predict water jet contact pressure at any position in the radial direction of the surface to be processed under different jetting heights and different jetting pressures. Based on the fitting function, the water jet processing process can be discretized into multiple sequential fixed-point jetting processes, the pressure change of the unit area of the surface to be processed in the water jet processing process can be predicted, and the deformation amount of the unit area after water jet processing can be predicted, which helps to improve the precision of water jet processing.

Description

Technical Field

[0001] This application belongs to the field of waterjet processing technology, specifically relating to a waterjet pressure distribution measuring device, a waterjet processing prediction method and apparatus. Background Technology

[0002] With the rapid development of aerospace, automatic control, and other fields, the demand for high-performance, complex structural components is increasing. As part precision increases, the disadvantages of traditional machining—such as tool wear affecting workpiece accuracy and efficiency—have limited its application. Waterjet technology, with its small heat-affected zone, low contact force, strong adaptability, and low cost, is used for cutting and machining hard and brittle materials including ceramics and single-crystal silicon, as well as metals such as titanium alloys. However, the uncertainty of waterjet pressure restricts its development in precision machining. Summary of the Invention

[0003] The purpose of this application is to provide a water jet pressure distribution measurement device, a water jet processing prediction method and apparatus, to solve the technical problem that the uncertainty of water jet pressure in the prior art restricts the development of water jet processing in the direction of precision machining.

[0004] To achieve the above objectives, one technical solution adopted in this application is:

[0005] A water jet pressure distribution measuring device is provided, comprising:

[0006] The receiving component has a circular area composed of several fan-shaped steps on one side. The fan-shaped steps extend outward from one side of the receiving component, and the thickness of the fan-shaped steps is arranged in an arithmetic sequence. The fan-shaped steps have a receiving surface opposite to one side of the receiving component. The receiving surface of each fan-shaped step is divided into several detection areas by multiple concentric circles arranged concentrically with the fan-shaped step. The radii of the multiple concentric circles are arranged in an arithmetic sequence.

[0007] A jetting element is disposed on one side of the receiving surface of the receiving element, and the jetting element is used to spray a water jet toward the receiving surface at a preset height in a direction perpendicular to the receiving surface;

[0008] The detection elements are evenly arranged on each of the detection areas, and the detection elements are used to detect the pressure of the water jet sprayed in the detection area.

[0009] In one or more embodiments, a data acquisition unit is further included, which is signal-connected to the detection element.

[0010] To achieve the above objectives, another technical solution adopted in this application is:

[0011] A method for predicting waterjet processing is provided, including:

[0012] Based on the preset radial pressure distribution information of the water jet, the radial pressure distribution parameters of the water jet are calculated.

[0013] Based on the radial pressure distribution parameters of the water jet, a fitting function is constructed, which represents the water jet contact pressure at any radial position of the surface to be treated under different jet heights and different jet pressures.

[0014] Based on the fitting function and the waterjet processing trajectory, the waterjet pressure parameters of a unit area of ​​the surface to be processed are determined. The waterjet pressure parameters include the pressure value change information of the unit area during the current waterjet processing.

[0015] Based on the water jet pressure parameters, the deformation of the unit area after the current water jet processing is calculated.

[0016] In one or more embodiments, the step of constructing a fitting function based on the radial pressure distribution parameters of the water jet includes:

[0017] Based on the radial pressure distribution parameters of the water jet, a training sample set is constructed, which includes jet height, jet pressure, radial position, and contact pressure.

[0018] The fitting function is obtained by using the injection height, injection pressure, and radial position of the training sample set as inputs and the contact pressure as the desired output.

[0019] In one or more embodiments, the step of determining the water jet pressure parameters per unit area of ​​the surface to be treated based on the fitting function and the water jet processing trajectory includes:

[0020] Based on the waterjet processing movement trajectory, sweep information of a unit area of ​​the surface to be processed is determined. The sweep information includes the fixed-point spraying sequence of the unit area in the current waterjet processing movement trajectory and the distance between the unit area and the fixed-point spraying point.

[0021] Based on the fitting function and the sweeping information of the unit region, the water jet pressure parameters of the unit region are determined.

[0022] In one or more embodiments, the step of determining sweep information of a unit area of ​​the surface to be treated based on the waterjet processing trajectory includes:

[0023] Based on the water jet processing trajectory, the fixed-point spraying information of a unit area sweeping the surface to be treated is determined, and the fixed-point spraying information includes the spraying point of the fixed-point spraying.

[0024] Based on the fixed-point injection information, the distance between each injection point and the unit area is determined, and the sweeping information of the unit area is obtained.

[0025] In one or more embodiments, the step of calculating the deformation of the unit area after the current waterjet processing based on the waterjet pressure parameters includes:

[0026] Based on the water jet pressure parameters, a pressure dataset for the unit area is obtained, the pressure dataset including the pressure data of the unit area in the current water jet processing;

[0027] The pressure dataset is iterated through to remove pressure data where the pressure is less than the critical contact force for material deformation.

[0028] Sort the remaining pressure data in the pressure dataset by time and remove pressure data with a pressure lower than the previous pressure.

[0029] Based on the remaining pressure data in the pressure dataset, the deformation of the unit region under each pressure data is calculated to obtain the deformation of the unit region after the current water jet processing.

[0030] To achieve the above objectives, another technical solution adopted in this application is:

[0031] A waterjet processing prediction device is provided, comprising:

[0032] The first calculation module is used to calculate the radial pressure distribution parameters of the water jet based on the preset radial pressure distribution information of the water jet.

[0033] The module is used to construct a fitting function based on the radial pressure distribution parameters of the water jet;

[0034] The determination module is used to determine the water jet pressure parameters per unit area of ​​the surface to be treated based on the fitting function and the water jet processing trajectory.

[0035] The second calculation module is used to calculate the deformation of the unit area after the current water jet processing based on the water jet pressure parameters.

[0036] To achieve the above objectives, another technical solution adopted in this application is:

[0037] An electronic device is provided, comprising:

[0038] At least one processor; and

[0039] A memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform the waterjet processing prediction method as described in any of the preceding claims.

[0040] To achieve the above objectives, another technical solution adopted in this application is:

[0041] A machine-readable storage medium is provided, storing executable instructions that, when executed, cause the machine to perform the waterjet processing prediction method as described in any of the preceding claims.

[0042] The advantages of this application, which differ from existing technologies, are:

[0043] The water jet pressure distribution measuring device of this application can measure the pressure distribution at each radial annular position under different jet heights and different jet pressures for fixed-point water jet spraying, thereby obtaining water jet radial pressure distribution information, which helps to predict the pressure distribution during water jet processing, and thus predict the morphology of the surface to be treated after water jet processing.

[0044] This application can construct a fitting function based on the radial pressure distribution information of the water jet measured by the measuring device, and predict the water jet contact pressure at any radial position of the surface to be treated under different spray heights and different spray pressures. Based on this fitting function, by discretizing the water jet processing process into multiple sequential fixed-point spraying processes, it can predict the pressure change of a unit area of ​​the surface to be treated during the water jet processing process, thereby predicting its deformation after water jet processing, which helps to improve the accuracy of water jet processing. Attached Figure Description

[0045] Figure 1 This is a schematic diagram of one embodiment of the water jet pressure distribution measuring device of this application;

[0046] Figure 2 This is a flowchart illustrating one embodiment of the waterjet processing prediction method of this application;

[0047] Figure 3 yes Figure 2 A flowchart of one embodiment corresponding to step S200;

[0048] Figure 4 yes Figure 2 A flowchart of one embodiment corresponding to step S300;

[0049] Figure 5 This is a discrete schematic diagram of the water jet moving process in this application;

[0050] Figure 6 yes Figure 2 A flowchart of one embodiment corresponding to step S400;

[0051] Figure 7 This is a structural block diagram of one embodiment of the waterjet processing prediction device of this application;

[0052] Figure 8 This is a hardware structure diagram of one embodiment of the electronic device of this application. Detailed Implementation

[0053] The present application will now be described in detail with reference to the embodiments shown in the accompanying drawings. However, these embodiments do not limit the present application, and any structural, methodological, or functional modifications made by those skilled in the art based on these embodiments are included within the protection scope of the present application.

[0054] As described in the background section, waterjet machining, due to its small heat-affected zone, low contact force, strong adaptability, and low cost, is used for cutting and machining hard and brittle materials such as ceramics and single-crystal silicon, as well as metals such as titanium alloys. However, waterjet machining suffers from the drawback of uncertain waterjet pressure distribution, which hinders its development in the field of precision machining.

[0055] To this end, the applicant has developed a waterjet pressure distribution measuring device and a waterjet processing prediction method. The measuring device can measure the pressure distribution at various radial annular positions under different jet heights and pressures for a fixed-point waterjet injection, thereby obtaining waterjet radial pressure distribution information. The prediction method can predict the deformation at various points on the surface to be processed after waterjet processing based on the waterjet radial pressure distribution information, thus helping to compare the predicted deformation with the target deformation and adjust the waterjet processing parameters.

[0056] Specifically, please refer to Figure 1 , Figure 1 This is a schematic diagram of one embodiment of the water jet pressure distribution measuring device of this application.

[0057] The measuring device includes a receiving component 10, a spraying component 20, and a detection component 30.

[0058] One side of the receiving component 10 includes a circular area composed of six fan-shaped steps 100 with a central angle of 60°. The fan-shaped steps 100 extend outward from one side of the receiving component 10, and the thickness of the six fan-shaped steps 100 is arranged in an arithmetic sequence. The six fan-shaped steps 100 are provided with a receiving surface 101 away from the side of the receiving component 10. The receiving surface 101 of each fan-shaped step 100 is divided into six detection areas 102 by six concentric circles arranged concentrically with the fan-shaped step 100. The radii of the six concentric circles are arranged in an arithmetic sequence.

[0059] The spray element 20 is disposed on one side of the receiving surface 101 of the receiving element 10. The spray element 20 is used to spray water jets toward the receiving surface 101 at a preset height in a direction perpendicular to the receiving surface 101.

[0060] The detection element 30 is evenly arranged on each detection area 102. The detection element 30 is used to detect the pressure of the water jet sprayed in the detection area 102.

[0061] The detection element 30 can be a pressure sensor with a tungsten carbide coating; in other embodiments, the detection element 30 can also be other types of pressure sensors or other types of sensors that can detect the water flow contact pressure to achieve the effect of this embodiment.

[0062] Understandably, when water is sprayed onto the receiving surface 101 by the jetting element 20, the detection element 30 located in the detection area 102 can detect the water flow contact pressure. By averaging the pressures detected by multiple detection elements 30 in each detection area 102, the average water flow contact pressure of that detection area 102 can be obtained. By adjusting the jetting pressure, the pressure distribution at each radial annular position under different jetting pressures during the fixed-point water jet process can be obtained.

[0063] In addition, since the receiving surface 101 is formed by the cooperation of multiple fan-shaped steps 100, and the thickness of the multiple fan-shaped steps 100 is arranged in an arithmetic sequence, the pressure distribution of each radial annular position under different spray heights can be obtained simultaneously by detecting the water flow contact pressure of the receiving surface 101 of different fan-shaped steps 100.

[0064] To facilitate the acquisition, noise filtering, and averaging of signals from the detection element 30 in each detection area 102, a data acquisition unit 40 is also provided on the side of the receiving surface 101 in this embodiment. The data acquisition unit 40 is connected to the signal of the detection element 30. In one application scenario, the data acquisition unit 40 can be a microcontroller. In other application scenarios, the data acquisition unit 40 can be any other device capable of acquiring and processing signals from the detection element 30, all of which can achieve the effects of this embodiment.

[0065] In order to ensure sufficient collection of radial pressure distribution information of the water jet, the area of ​​the circular region composed of the six fan-shaped steps 100 in this embodiment should be larger than the spray coverage area of ​​the water jet.

[0066] Specifically, the receiving part 10 can be placed below the spraying part 20 at a distance of... h 1 At this location, the nozzle of the spray component 20 and the center of the circular area of ​​the receiving component 10 are located on the same center line, and 6 sets of spray pressure are set. P 1 ~P 6 Conduct a spraying experiment.

[0067] like Figure 1 As shown, the thickness tolerance of the sector step 100 can be denoted as... ΔhDuring the experiment, six sets of injection pressures were recorded using the testing component 30. P 1 ~P 6 Six sets of spray heights with different fan-shaped steps (100). h 1 ~h 6 Below, the water jet's radial position r 1 ~r 6 Contact pressure signal This allows us to obtain information on the radial pressure distribution of the water jet.

[0068] It is understood that this embodiment only shows a technical solution in which six sector steps 100 form a circular area, and each sector step 100 is divided into a detection area 102 by six concentric circles; in other embodiments, other numbers of sector steps 100 can be set to form a circular area, and each sector step 100 can also be divided into a detection area 102 by other numbers of concentric circles, all of which can achieve the effect of this embodiment.

[0069] After obtaining the radial pressure distribution information of the waterjet, deformation prediction for waterjet processing can begin. For details, please refer to [link to relevant documentation]. Figure 2 , Figure 2 This is a flowchart illustrating one embodiment of the waterjet processing prediction method of this application.

[0070] The prediction method includes:

[0071] S100. Based on the preset radial pressure distribution information of the water jet, calculate the radial pressure distribution parameters of the water jet.

[0072] First, acquire the contact pressure signal detected by the measuring device. Based on the detection area of ​​the detection piece 30, the radial position of the lower edge under different injection pressures and injection heights can be obtained. r 1 ~r 6 Contact pressure distribution , which refers to the radial pressure distribution parameters of the water jet.

[0073] S200. Based on the radial pressure distribution parameters of the water jet, a fitting function is constructed.

[0074] Specifically, the fitting function represents the water jet contact pressure at any radial position on the surface to be treated under different jet heights and different jet pressures.

[0075] Six radial positions obtained in step S100 under different injection pressures and injection heights r1 ~r 6 Contact pressure distribution This allows for the construction of a correlation function between radial distance and water jet contact pressure, thereby enabling the acquisition of water jet contact pressure at any radial location.

[0076] In one implementation, a fitting function can be constructed using machine learning methods; for details, please refer to [link to relevant documentation]. Figure 3 , Figure 3 yes Figure 2 A flowchart of one embodiment corresponding to step S200.

[0077] Methods for constructing fitting functions include:

[0078] S201. Based on the radial pressure distribution parameters of the water jet, construct a training sample set.

[0079] Based on the obtained radial pressure distribution parameters of the water jet, multiple sets of data including jet pressure, jet height, radial position, and contact pressure can be obtained and used as a training sample set.

[0080] S202. Using the injection height, injection pressure, and radial position of the training sample set as inputs, and the contact pressure as the desired output, a fitting function is trained to obtain the fitting function.

[0081] By using the injection height, injection pressure, and radial position from the training sample set as input data, and substituting them into the machine learning model, with contact pressure as the desired output, a fitting function can be trained and obtained. Furthermore, a fitting function model based on the radial distribution of contact pressure is used. This allows us to obtain the water jet contact pressure at different radial positions under different jet heights and pressures. .

[0082] In one application scenario, the machine learning model can be the 1stopt integrated optimization analysis and calculation software platform; in other application scenarios, the machine learning model can also be other models such as neural networks, all of which can achieve the effect of this implementation method.

[0083] S300. Based on the fitting function and the waterjet processing trajectory, determine the waterjet pressure parameters per unit area of ​​the surface to be treated.

[0084] Specifically, the water jet pressure parameters include information on the pressure changes per unit area during the current water jet processing.

[0085] Water jet contact pressure obtained based on fitting function This refers to the pressure distribution during fixed-point waterjet machining, where the nozzle position remains fixed. However, during waterjet machining, the nozzle position actually moves along the waterjet machining trajectory. The waterjet machining process can be discretized into multiple equally spaced fixed-point spraying processes, thus equating the continuous contact between the waterjet and the workpiece to sequentially fixed-point spraying at equal intervals.

[0086] Specifically, please refer to Figure 4 , Figure 4 yes Figure 2 A flowchart of one embodiment corresponding to step S300.

[0087] Methods for determining water jet pressure parameters include:

[0088] S301. Based on the water jet processing trajectory, determine the sweeping information of a unit area of ​​the surface to be processed.

[0089] Specifically, by equating the water jet moving process to multiple sequential fixed-point spraying processes, the sweeping information of the unit area can be obtained by calculating the distance between the unit area of ​​the surface to be treated and the spraying point of each fixed-point spraying process.

[0090] The sweep information includes the fixed-point spray sequence of the unit area in the current waterjet processing trajectory and the distance between the unit area and the fixed-point spray point.

[0091] In an application scenario, such as Figure 5 As shown, Figure 5 This is a discrete schematic diagram of the waterjet moving process described in this application. Based on the concept of finite element mesh generation, the workpiece surface can be discretized and divided into sections with side lengths of... l The square grid can be used to identify each square grid on the workpiece surface as a unit area.

[0092] Taking the unidirectional movement of a water jet as an example, the continuous movement process of the water jet can be discretized into a grid with a spacing of [missing information - likely a value or value]. l The fixed-point spraying process, and thus the continuous contact between the water jet and the workpiece, can be equivalent to a spacing of... l The sequential, fixed-point spraying. That is, the spacing between adjacent jets is obtained from the moving trajectory of the water jet processing. l By identifying several fixed-point spray points, the fixed-point spray information for a unit area of ​​the surface to be treated is obtained.

[0093] After obtaining the fixed-point spray information, the sweeping information of the unit area can be obtained based on the distance between each spray point and the unit area.

[0094] In other application scenarios, the workpiece surface and the waterjet processing trajectory can be divided in other ways to obtain multiple sequential fixed-point spraying points. The division methods of the workpiece surface and the waterjet processing trajectory can also be different. As long as the distance between each spraying point and the divided unit area can be calculated, the effect of this implementation method can be achieved.

[0095] Furthermore, it is understood that this embodiment only illustrates a discrete method for a unidirectional moving trajectory. In other embodiments, a curved moving trajectory can also be discretely divided into multiple fixed-point spraying points to obtain sweeping information of a unit area of ​​the surface to be processed, all of which can achieve the effect of this embodiment.

[0096] S302. Based on the fitting function and the sweeping information of the unit area, determine the water jet pressure parameters of the unit area.

[0097] Or, let's divide the workpiece surface into sections with side lengths as... l Taking a square grid as an example, during point spraying, the contact process between the water jet and a unit area of ​​the workpiece surface can be considered as the contact pressure of the water jet at different radial positions. Its effect at different square grid locations, Through contact pressure and grid area Obtain, that is .

[0098] With spacing as l Taking two adjacent fixed-point spray positions as an example, during the spraying process, the water jet has an overlapping coverage area. At this time, the deformation at any grid point within the coverage area is generated by the contact pressure at the adjacent radial positions of the two fixed-point sprays in sequence.

[0099] Therefore, by calculating the water flow contact pressure per unit area during each fixed-point injection in sequence, the pressure change per unit area during the current water jet processing can be obtained, that is, the water jet pressure parameter per unit area.

[0100] S400: Based on the water jet pressure parameters, calculate the deformation of a unit area after the current water jet processing.

[0101] By calculating the deformation of a unit area under the pressure of the current waterjet process, the deformation of the unit area under the pressure of each fixed-point injection can be predicted.

[0102] For details, please refer to 6. Figure 6 yes Figure 2 A flowchart of one embodiment corresponding to step S400.

[0103] Methods for calculating deformation variables include:

[0104] S401. Based on the water jet pressure parameters, obtain the pressure dataset for a unit area.

[0105] First, based on the pressure change of a unit area during the current waterjet processing, the pressure value experienced by the unit area during the current waterjet processing is obtained, forming a pressure dataset.

[0106] S402, Traverse the pressure dataset to remove pressure data where the pressure is less than the critical contact force for material deformation.

[0107] When a water jet acts on a unit area, there is a phenomenon where the pressure is too low to cause deformation, i.e., the water jet contact force... The critical contact force at which elastoplastic deformation occurs at a square grid area less than or equal to the unit area At this time, the square grid in the unit area does not deform, where In the formula This represents the yield stress of the material.

[0108] This phenomenon of insufficient pressure will not affect the shape of a unit area. Therefore, the pressure dataset is traversed to remove pressure data that does not affect the shape.

[0109] S403. Sort the remaining pressure data in the pressure dataset by time and remove pressure data with a pressure lower than the previous pressure.

[0110] After removing pressure data that is less than the critical contact force for material deformation, the remaining pressure data are sorted in chronological order, that is, according to the order of the injection points of the fixed-point injection.

[0111] Because metallic materials exhibit strain hardening after deformation, their yield stress gradually increases. Specifically, a critical contact force greater than that required for elastoplastic deformation can be defined per unit area. Water jet contact force Substitute into the formula Contact stress can be obtained .

[0112] Contact stress Substitute the fluid stress Ludwik model:

[0113]

[0114] The deformation per unit area can be calculated, where and These are the strength index and strain hardening index of the workpiece material, respectively. This represents the deformation at a unit region.

[0115] After deformation, the elastic-plastic critical contact force per unit area Improvement, specifically Therefore, the deformation under subsequent pressure should be based on the updated elastoplastic critical contact force. As a basis for judgment.

[0116] As can be understood from the above formula, if the subsequent pressure is less than the initial pressure, the subsequent pressure will necessarily be less than the material's elastic-plastic critical contact force at that point. Since subsequent pressures will not cause deformation in a unit area, pressure data with pressures lower than the preceding pressures can be removed after sorting the pressure data by time.

[0117] S404. Based on the remaining pressure data in the pressure dataset, calculate the deformation of the unit area under each pressure data to obtain the deformation of the unit area after the current water jet processing.

[0118] After the pressure dataset is processed, the remaining pressure data are calculated one by one in chronological order to determine the deformation of each unit area.

[0119] The specific calculation formula is shown in step S403, that is, based on the formula. Calculate the contact stress under the current pressure. Contact stress Substitute the fluid stress Ludwik model:

[0120]

[0121] Calculate the deformation at a unit area .

[0122] It is worth noting that the yield stress per unit area As the deformation gradually changes, the deformation should be calculated based on the newly updated yield stress for each application of pressure.

[0123] After calculating the deformation of a unit area caused by all pressure data, the deformation of the unit area after the current waterjet processing can be obtained by superimposing the data, thus enabling the prediction of the morphology of the surface to be processed after the current waterjet processing.

[0124] This application also provides a waterjet processing prediction device; please refer to [link to relevant documentation]. Figure 7 , Figure 7 This is a structural block diagram of one embodiment of the waterjet processing prediction device of this application.

[0125] The prediction device includes a first calculation module 21, a construction module 22, a determination module 23, and a second calculation module 24.

[0126] The first calculation module 21 is used to calculate the radial pressure distribution parameters of the water jet based on the preset radial pressure distribution information of the water jet; the construction module 22 is used to construct a fitting function based on the radial pressure distribution parameters of the water jet; the determination module 23 is used to determine the water jet pressure parameters of a unit area of ​​the surface to be processed based on the fitting function and the water jet processing trajectory; and the second calculation module 24 is used to calculate the deformation of a unit area after the current water jet processing based on the water jet pressure parameters.

[0127] As per the above reference Figures 2 to 6 The waterjet processing prediction method according to embodiments of this specification has been described. The details mentioned in the above description of the method embodiments also apply to the waterjet processing prediction apparatus of embodiments of this specification. The above-described waterjet processing prediction apparatus can be implemented in hardware, software, or a combination of hardware and software.

[0128] Please see Figure 8 , Figure 8 This is a hardware structure diagram of one embodiment of the electronic device of this application. For example... Figure 8 As shown, the electronic device may include at least one processor 31, a memory 32 (e.g., non-volatile memory), a RAM 33, and a communication interface 34, and the at least one processor 31, memory 32, RAM 33, and communication interface 34 are connected together via a bus 35. At least one processor 31 executes at least one computer-readable instruction stored or encoded in the memory 32.

[0129] It should be understood that the computer-executable instructions stored in memory 32, when executed, cause at least one processor 31 to perform the above-described combinations in the various embodiments of this specification. Figures 2-6 The description includes various operations and functions.

[0130] In the embodiments of this specification, electronic devices may include, but are not limited to: personal computers, server computers, workstations, desktop computers, laptop computers, notebook computers, mobile electronic devices, smartphones, tablet computers, cellular phones, personal digital assistants (PDAs), handheld devices, messaging devices, wearable electronic devices, consumer electronic devices, etc.

[0131] According to one embodiment, a program product, such as a machine-readable medium, is provided. The machine-readable medium may have instructions (i.e., the elements implemented in software as described above), which, when executed by a machine, cause the machine to perform the above-described combinations of the various embodiments of this specification. Figures 2-6The various operations and functions described. Specifically, a system or apparatus equipped with a readable storage medium storing software program code that implements the functions of any of the embodiments described above, and enabling the computer or processor of the system or apparatus to read and execute the instructions stored in the readable storage medium.

[0132] In this case, the program code read from the readable medium itself can perform the functions of any of the above embodiments, and therefore the machine-readable code and the readable storage medium storing the machine-readable code constitute a part of this specification.

[0133] Examples of readable storage media include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD-RW), magnetic tapes, non-volatile memory cards, and ROMs. Alternatively, program code can be downloaded from a server computer or the cloud via a communication network.

[0134] Those skilled in the art will understand that the various embodiments disclosed above can be modified and varied without departing from the spirit of the invention. Therefore, the scope of protection of this specification should be defined by the appended claims.

[0135] It should be noted that not all steps and units in the above process and system structure diagrams are mandatory; some steps or units can be omitted according to actual needs. The execution order of each step is not fixed and can be determined as needed. The device structure described in the above embodiments can be a physical structure or a logical structure. That is, some units may be implemented by the same physical client, or some units may be implemented by multiple physical clients, or they may be jointly implemented by certain components in multiple independent devices.

[0136] In the above embodiments, the hardware units or modules can be implemented mechanically or electrically. For example, a hardware unit, module, or processor may include permanent dedicated circuitry or logic (such as a dedicated processor, FPGA, or ASIC) to perform the corresponding operation. The hardware unit or processor may also include programmable logic or circuitry (such as a general-purpose processor or other programmable processor), which can be temporarily configured by software to perform the corresponding operation. The specific implementation method (mechanical, dedicated permanent circuitry, or temporarily configured circuitry) can be determined based on cost and time considerations.

[0137] The foregoing description of this disclosure is provided to enable any person skilled in the art to implement or use this disclosure. Various modifications to this disclosure will be apparent to those skilled in the art, and the general principles applicable herein can be applied to other variations without departing from the scope of this disclosure. Therefore, this disclosure is not limited to the examples and designs described herein, but is consistent with the widest scope of the principles and novel features disclosed herein.

Claims

1. A water jet machining prediction method characterized by, The method comprises the following steps: calculating water jet radial pressure distribution parameters based on preset water jet radial pressure distribution information; constructing a fitting function based on the water jet radial pressure distribution parameters, the fitting function representing water jet contact pressure at any radial position of a surface to be processed under different jetting heights and different jetting pressures; determining water jet pressure parameters of a unit area of the surface to be processed based on the fitting function and a water jet processing moving track, the water jet pressure parameters including pressure value change information of the unit area in a current water jet processing process; calculating a deformation amount of the unit area after current water jet processing based on the water jet pressure parameters; wherein the step of determining the water jet pressure parameters of the unit area of the surface to be processed based on the fitting function and the water jet processing moving track comprises: determining sweeping information of the unit area of the surface to be processed based on the water jet processing moving track, the sweeping information including a fixed-point jetting sequence of the unit area in the current water jet processing moving track and distances between the unit area and fixed-point jetting points; determining the water jet pressure parameters of the unit area based on the fitting function and the sweeping information of the unit area; the step of determining the sweeping information of the unit area of the surface to be processed based on the water jet processing moving track comprises: determining fixed-point jetting information for sweeping the unit area of the surface to be processed based on the water jet processing moving track, the fixed-point jetting information including jetting points of fixed-point jetting; determining distances between each of the jetting points and the unit area to obtain the sweeping information of the unit area based on the fixed-point jetting information.

2. The water jet machining prediction method according to claim 1, characterized by, The step of constructing the fitting function based on the water jet radial pressure distribution parameters comprises: constructing a training sample set based on the water jet radial pressure distribution parameters, the training sample set including jetting height, jetting pressure, radial position and contact pressure; training the fitting function by taking the jetting height, jetting pressure and radial position of the training sample set as input and taking the contact pressure as expected output.

3. The water jet machining prediction method according to claim 1, characterized by, The step of calculating the deformation amount of the unit area after current water jet processing based on the water jet pressure parameters comprises: obtaining a pressure data set of the unit area based on the water jet pressure parameters, the pressure data set including pressure data of the unit area in the current water jet processing; eliminating pressure data with pressure less than a material deformation critical contact force by traversing the pressure data set; sorting the remaining pressure data in the pressure data set by time and eliminating pressure data with pressure less than a previous pressure; calculating deformation of the unit area under each of the pressure data based on the remaining pressure data in the pressure data set to obtain the deformation amount of the unit area after the current water jet processing.

4. A water jet machining prediction device characterized by comprising: The method comprises the following steps: a first calculation module configured to calculate water jet radial pressure distribution parameters based on preset water jet radial pressure distribution information; a construction module configured to construct a fitting function based on the water jet radial pressure distribution parameters; determining, based on the fitting function and the water jet machining movement track, a water jet pressure parameter of a unit area of the surface to be processed; calculating, based on the water jet pressure parameter, a deformation amount of the unit area after current water jet machining; wherein the step of determining, based on the fitting function and the water jet machining movement track, the water jet pressure parameter of the unit area of the surface to be processed comprises: determining, based on the water jet machining movement track, sweep information of the unit area of the surface to be processed, the sweep information comprising a fixed-point jetting order of the unit area in the current water jet machining movement track and a distance between the unit area and a fixed-point jetting point; determining, based on the fitting function and the sweep information of the unit area, the water jet pressure parameter of the unit area; the step of determining, based on the water jet machining movement track, the sweep information of the unit area of the surface to be processed comprises: determining, based on the water jet machining movement track, fixed-point jetting information of the unit area of the surface to be processed, the fixed-point jetting information comprising a jetting point of fixed-point jetting; determining, based on the fixed-point jetting information, a distance between each jetting point and the unit area, to obtain the sweep information of the unit area.

5. An electronic device, comprising: comprising: at least one processor; and a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform the water jet machining prediction method of any one of claims 1 to 3.

6. A machine-readable storage medium, characterized in that, executable instructions stored thereon that, when executed, cause the machine to perform the water jet machining prediction method of any one of claims 1 to 3.

Images