A multi-parameter adaptive control system for wire cutting processing of permanent magnet alloy parts

Abstract

The application discloses a kind of multi-parameter adaptive control systems for permanent magnet alloy piece wire cutting processing, it is related to alloy piece cutting technical field.The application discloses a kind of multi-parameter adaptive control systems for permanent magnet alloy piece wire cutting processing, it is related to alloy piece cutting technical field.The application discloses a kind of multi-parameter adaptive control systems for permanent magnet alloy piece wire cutting processing, it is related to alloy piece cutting technical field.The application discloses a kind of multi-parameter adaptive control systems for permanent magnet alloy piece wire cutting processing, it is related to alloy piece cutting technical field.The application discloses a kind of multi-parameter adaptive control systems for permanent magnet alloy piece wire cutting processing, it is related to alloy piece cutting technical field.The application discloses a kind of multi-parameter adaptive control systems for permanent magnet alloy piece wire cutting processing, it is related to alloy piece cutting technical field.The application discloses a kind of multi-parameter adaptive control systems for permanent magnet alloy piece wire cutting processing, it is related to alloy piece cutting technical field.The application discloses a kind of multi-parameter adaptive control systems for permanent magnet alloy piece wire cutting processing, it is related to alloy piece cutting technical field.The application discloses a kind of multi-parameter adaptive control systems for permanent magnet alloy piece wire cutting processing, it is related to alloy piece cutting technical field.The application discloses a kind of multi-parameter adaptive control systems for permanent magnet alloy piece wire cutting processing, it is related to alloy piece cutting technical field.The application discloses a kind

Description

Technical Field

[0001] This invention relates to the field of alloy parts cutting technology, specifically a multi-parameter adaptive control system for wire EDM of permanent magnet alloy parts. Background Technology

[0002] Permanent magnet alloy parts refer to various components or workpieces made of permanent magnet alloy materials. These materials can maintain stable magnetism for a long time and generate strong magnetic fields without external power sources. They are widely used in modern industry, electronic and mechanical equipment. Their main characteristics include high remanence and high coercivity, which makes them suitable for working in harsh environments. Permanent magnet alloys for electronic device sensors are widely used in high-precision sensors with high requirements for information transmission and precise positioning in aerospace, military, precision instruments, 5G communications and other fields, reaching the leading level in China and the advanced level in the world, filling the domestic gap.

[0003] A cutting device and method for obliquely oriented magnets, patent publication number CN109273238A, is provided on a plate body with multiple angle limiting mechanisms that restrict the placement direction of magnetic blanks. The angle limiting mechanisms are angle wedges, which are easy to assemble and disassemble. The angle wedges are processed according to the same procedure to ensure the consistency of the used angle. The magnetic blank is a neodymium iron boron square blank, and the plate body is a backing plate. The angle limiting mechanism is parallel to one side of the plate body and completely coincides with it. The angle between the angle limiting mechanism and the plate body is the required magnetic declination angle. By changing the angle limiting mechanism according to the customer's needs, obliquely oriented magnets with different magnetic declination angles can be obtained.

[0004] When cutting permanent magnet alloy parts, the above-mentioned and similar technical solutions are prone to problems such as cracks, chipping, and surface alteration layers due to the high hardness and brittleness of permanent magnet alloy materials. Existing control systems often use fixed parameters or single parameter adjustments, which are difficult to cope with fluctuations in material properties and changes in processing conditions. These parameters are often set based on experience and lack adaptability to fluctuations in material properties and changes in processing conditions. When factors such as material composition, grain size, and internal stress change, fixed parameters may not be able to guarantee ideal processing results and may even lead to deterioration of processing quality. Summary of the Invention

[0005] The purpose of this invention is to provide a multi-parameter adaptive control system for wire EDM of permanent magnet alloy parts, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a multi-parameter adaptive control system for wire EDM machining of permanent magnet alloy parts, comprising: Data acquisition module: Set up a multi-source sensing module, including a discharge state monitoring unit, a material state monitoring unit, a cooling state monitoring unit, and a line tension monitoring unit; The discharge status monitoring unit is used to acquire the real-time status information of the discharge module and obtain the discharge information item; the material status monitoring unit is used to monitor the real-time status information of the alloy part to be cut and obtain the material information item; the cooling status monitoring unit is used to acquire the real-time status information of the coolant and obtain the cooling information item; and the wire tension monitoring unit is used to acquire the real-time status information of the cutting wire and obtain the wire information item. Model creation module: Using discharge information and wire information as dynamic inputs, and material information and cooling information as dynamic outputs, the module obtains the mapping relationship between the dynamic inputs and outputs and creates a mapping relationship model. Reverse Comparison Module: Based on the mapping relationship model, during the cutting process, the combination of material information items and cooling information items acquired in real time is used as reverse input to obtain reverse output results. The reverse output results include at least two combinations of discharge information items and wire information items to obtain an output combination set. The control module adaptively determines the output combination set and obtains the combination of target discharge information item and wire information item as the adaptive control combination, thereby realizing the adaptive control of multiple parameters.

[0007] Furthermore, the method for creating the mapping relationship model includes: Set a fluctuation threshold, which is a fixed percentage increase or decrease, to obtain the set fluctuation item; By combining the set fluctuation items with the discharge information items and the wire information items respectively, discharge fluctuation sets and wire fluctuation sets are obtained; Based on the discharge fluctuation set and the wire fluctuation set, the real-time dynamic change values ​​of the material information item and the cooling information item are obtained respectively, and the material reference set and the cooling reference set are obtained. The model was trained using discharge fluctuation set, wire fluctuation set, material control set and cooling control set as training data respectively, and then the comparison relationship between dynamic input and dynamic output was monitored to obtain the mapping relationship model.

[0008] Furthermore, the real-time status information of the discharge module includes discharge energy, pulse width, and discharge interval, and the method for obtaining the discharge information items includes: The position information of the current output terminal of the discharge unit is obtained to obtain the discharge position item. Based on the discharge position item, the first sampling module is arranged. Based on the first sampling module, the first expansion value is set. The first expansion value is a fixed multiple value. Based on the combination result of the first expansion value and the first sampling module, the sampling frequency is obtained, and then the first frequency item is obtained. Based on the first frequency term, the discharge state is sampled through the first sampling module to obtain the discharge energy, pulse width, and discharge interval, thus obtaining the discharge information term.

[0009] Furthermore, the real-time status information of the alloy part to be cut includes the internal and external temperatures of the alloy part and the size of the cutting gap, and the method for obtaining the material information includes: The position information of the alloy part to be cut is obtained to obtain the cutting position item. Based on the cutting position item, a second sampling module is arranged. Based on the second sampling module, the surface temperature distribution of the alloy part to be cut during the processing is obtained to obtain the surface temperature item. Based on the surface temperature item and the reflection characteristics, the internal temperature field is inferred through the heat conduction model to obtain the internal temperature item, and then the internal and external temperatures of the alloy part are obtained. Based on the cutting location, a high-resolution camera is deployed to acquire data on the size of the cutting kerf in the alloy part to be cut, thereby obtaining the material information.

[0010] Furthermore, the real-time status information of the coolant includes coolant temperature and coolant flow rate, and the method for obtaining the cooling information items includes: The system acquires coolant circuit path information and nozzle position information to obtain cooling path items and nozzle position items. Based on the cooling path items and nozzle position items, a third sampling module is set up. Based on the third sampling module, coolant attribute data is acquired, thereby obtaining coolant temperature and coolant flow rate, and cooling information items are obtained.

[0011] Furthermore, the real-time status information of the cutting wire includes tension data, and the method for obtaining the wire information items includes: The wire tension transmission path information of the cutting wire is obtained to obtain the wire path item. Based on the wire path item, at least two arrangement feature points are set, and tension sensors are arranged based on the arrangement feature points to obtain the tension data of the cutting wire, thereby obtaining the wire information item.

[0012] Furthermore, the method for obtaining the output combination set includes: Real-time acquisition of dynamic change data for material information items and cooling information items yields real-time material and cooling data. Based on the mapping relationship model, the real-time material item and the real-time cooling item are used as model inputs to obtain the model output results, including discharge information item results and wire information item results, and thus obtain discharge result items and wire result items. Based on the combined information of the discharge result item and the wire result item, the output combination set is obtained.

[0013] Furthermore, the method for obtaining the adaptive adjustment combination includes: Based on the output combination set, the result loss of the discharge result item and the wire result item, including energy loss, are obtained respectively, resulting in the discharge result loss item and the wire result loss item. The combined loss information of discharge result loss item and wire result loss item is obtained. The discharge result loss item and wire result item corresponding to the discharge result loss item with the lowest combined loss are taken as the target combination, and then the adaptive adjustment combination is obtained.

[0014] Compared with the prior art, the beneficial effects of the present invention are: This multi-parameter adaptive control system for wire EDM of permanent magnet alloy parts acquires information such as discharge energy, pulse width, discharge interval, internal and external temperatures of the alloy part, and cutting kerf size by setting up discharge state monitoring units, material state monitoring units, cooling state monitoring units, and wire tension monitoring units. Based on this, a mapping relationship model is created, and the mapping relationship between each piece of information as input and output is analyzed in detail. In the actual cutting process, feedback information during the cutting process, such as coolant temperature and flow rate, internal and external temperatures of the alloy part, and cutting kerf size, is acquired as reverse inputs to obtain reverse output results. The parameters are adjusted based on the highest priority combination of the reverse output results, thus achieving a multi-parameter adaptive adjustment effect. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the overall process composition of the present invention; Figure 2 This is a schematic diagram of the multi-source sensing module structure of the present invention; Figure 3 This is a schematic diagram of the discharge information item acquisition process of the present invention; Figure 4 This is a schematic diagram of the process for obtaining the internal temperature item in this invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] The performance of permanent magnet alloy materials is not static. Factors such as the material's composition ratio, grain size, and internal stress distribution can all vary between different batches or even different parts of the same batch. When these factors change, the originally set fixed parameters may not guarantee ideal processing results. For example, if the material's internal stress is high, wire cutting under fixed parameters may lead to greater residual stress, thereby accelerating crack propagation. Furthermore, changes in processing conditions cannot be ignored. Factors such as electrode wire wear, coolant temperature changes, and slight fluctuations in cutting speed can all affect the stability of the cutting process. The fixed-parameter control system cannot detect and adjust these changes in time, ultimately leading to a decline in processing quality or even the scrapping of parts. In the case of [previous situation], the technical solution provided in this application, by setting up a discharge state monitoring unit, a material state monitoring unit, a cooling state monitoring unit, and a line tension monitoring unit to acquire information such as discharge energy, pulse width, discharge interval, internal and external temperatures of the alloy part, and cutting gap size, creates a mapping relationship model based on this information. It analyzes in detail the mapping relationship between each piece of information as input and output, and thus, during the actual cutting process, it acquires feedback information from the cutting process, such as coolant temperature and flow rate, internal and external temperatures of the alloy part, and cutting gap size, as reverse input to obtain reverse output results. The highest priority combination of the reverse output results is used for parameter adjustment, achieving an adaptive adjustment effect for multiple parameters, such as [example of parameter adjustment]. Figure 1 As shown, it includes a data acquisition module, a model creation module, a reverse control module, and a control adjustment module.

[0018] Data acquisition module: Set up a multi-source sensing module, including a discharge state monitoring unit, a material state monitoring unit, a cooling state monitoring unit, and a line tension monitoring unit.

[0019] It is important to note that, such as Figure 2 As shown, the discharge status monitoring unit is used to acquire the real-time status information of the discharge module and obtain the discharge information item; the material status monitoring unit is used to monitor the real-time status information of the alloy part to be cut and obtain the material information item; the cooling status monitoring unit is used to acquire the real-time status information of the coolant and obtain the cooling information item; and the wire tension monitoring unit is used to acquire the real-time status information of the cutting wire and obtain the wire information item.

[0020] It is important to note that, such as Figure 3As shown, the real-time status information of the discharge module includes discharge energy, pulse width, and discharge interval. The method for obtaining the discharge information item includes: obtaining the position information of the current output terminal of the discharge unit to obtain the discharge position item; based on the discharge position item, arranging a first sampling module; based on the first sampling module, setting a first expansion value, the first expansion value being a fixed multiple; obtaining the sampling frequency based on the combination result of the first expansion value and the first sampling module, and thus obtaining a first frequency item; based on the first frequency item, sampling the discharge status through the first sampling module to obtain the discharge energy, pulse width, and discharge interval, and thus obtaining the discharge information item.

[0021] Specifically, the first sampling module includes a high-bandwidth oscilloscope or a high-speed sampling module, and the first expansion value is set to 5, which is five times the highest expected pulse frequency. For example, when the highest frequency is 50kHz, the sampling frequency is 250MSa / s to obtain better resolution. At this time, the first frequency term is 250MSa / s. The discharge energy, pulse width and discharge interval of the discharge unit current output terminal are obtained through the set first sampling module to obtain the discharge information term.

[0022] In the specific implementation process, it is necessary to acquire the discharge parameters for cutting neodymium iron boron magnets. The thickness of the workpiece to be cut is 5mm, and the highest expected pulse frequency is 100kHz. At this time, the sampling frequency is 500MSa / s according to the set first expansion value. The oscilloscope model is Keysight Infiniium UXR series with a storage depth of 256Mpts to ensure 0.5s continuous waveform capture. The pulse width, discharge interval, and discharge energy extraction algorithms are set according to the oscilloscope. The pulse width extraction algorithm is: the time difference from 10% to 90% of the rising edge to eliminate oscillation interference. The discharge interval extraction algorithm is: the time difference from 90% to 10% of the falling edge of the adjacent pulse to the starting point of the rising edge of the next pulse. The discharge energy extraction algorithm is: single pulse current integration. The measured data output results are shown in Table 1. Table 1 Pulse sequence number Pulse width / μs Discharge interval / μs Discharge energy / mJ 1 12.5 18.3 0.85 2 13.1 17.9 0.88 3 11.8 19.2 0.79 This leads to the discharge information item.

[0023] It is important to note that, such as Figure 4As shown, the real-time status information of the alloy part to be cut includes the internal and external temperatures of the alloy part and the size of the cutting gap. The method for obtaining the material information item includes: obtaining the position information of the alloy part to be cut to obtain the cutting position item; based on the cutting position item, setting up a second sampling module; based on the second sampling module, obtaining the surface temperature distribution of the alloy part to be cut during the processing to obtain the surface temperature item; based on the surface temperature item combined with the reflection characteristics, and by inferring the internal temperature field through the heat conduction model, obtaining the internal temperature item, and thus obtaining the internal and external temperatures of the alloy part; based on the cutting position item, setting up a high-resolution camera to obtain the cutting gap size data of the alloy part to be cut, and thus obtaining the material information item.

[0024] Specifically, the second sampling module includes a high-resolution thermal imaging camera, which acquires the surface temperature distribution information of the alloy part to be cut during the processing to obtain the surface temperature item. At the same time, the internal temperature field is inferred by using a heat conduction model. The heat conduction model is obtained based on previous data and is extrapolated based on the thickness, material and other information of the alloy part to be cut to obtain the internal temperature item of the alloy part to be cut. The second sampling module also includes a high-resolution camera, which acquires the cutting gap size data of the alloy part to be cut to obtain the material information item.

[0025] It should be noted that the real-time status information of the coolant includes the coolant temperature and coolant flow rate. The method for obtaining the cooling information items includes: obtaining the coolant circuit path information and nozzle position information to obtain the cooling path item and nozzle position item; setting a third sampling module based on the cooling path item and nozzle position item; obtaining coolant attribute data based on the third sampling module; and then obtaining the coolant temperature and coolant flow rate, and finally obtaining the cooling information items.

[0026] Specifically, when the coolant is cutting the alloy part, there will be a loop path. By obtaining the loop path information, the cooling path item can be obtained. At the same time, the coolant cools the alloy part through the nozzle and the nozzle position item is obtained based on the nozzle position information. The third sampling module, which includes a distributed temperature sensing unit and a flow sensing unit, is set on the cooling path item and the nozzle position item, respectively, to obtain the coolant temperature and coolant flow rate.

[0027] It should be noted that the real-time status information of the cutting wire includes tension data. The method for obtaining the wire information item includes: obtaining the wire tension transmission path information of the cutting wire to obtain the wire path item; setting at least two placement feature points based on the wire path item; placing tension sensors based on the placement feature points; obtaining the tension data of the cutting wire; and then obtaining the wire information item.

[0028] Specifically, two feature points are set up, one at each end of the cutting line. During the cutting process, the tension of the cutting line is monitored by tension sensors.

[0029] Model creation module: Using discharge information and wire information as dynamic inputs, and material information and cooling information as dynamic outputs, it obtains the mapping relationship between dynamic inputs and dynamic outputs and creates a mapping relationship model.

[0030] It is important to note that the method for creating the mapping relationship model includes: setting a fluctuation threshold, which is a fixed percentage increase or decrease, to obtain a set fluctuation term; combining the set fluctuation term with the discharge information term and the wire information term respectively to obtain the discharge fluctuation set and the wire fluctuation set; based on the discharge fluctuation set and the wire fluctuation set, obtaining the real-time dynamic change values ​​of the material information term and the cooling information term respectively to obtain the material control set and the cooling control set; and using the discharge fluctuation set, the wire fluctuation set, the material control set, and the cooling control set as training data to train the model, thereby monitoring the comparison relationship between the dynamic input term and the dynamic output term to obtain the mapping relationship model.

[0031] Specifically, the set fluctuation threshold is ±1%. This threshold is then combined with discharge information items and wire information items, specifically with discharge energy, pulse width, discharge interval, and cutting wire tension data. The combination with discharge energy, pulse width, and discharge interval yields a discharge fluctuation set, while the combination with cutting wire tension data yields a wire fluctuation set. One variable from each set is used as a variable, and the others as quantifiers. The dynamic impact of the variable's change on the material and cooling information items is obtained, resulting in a material control set and a cooling control set. These sets are then used as training data for model training. The comparison between dynamic input and output items is monitored to obtain a mapping relationship model.

[0032] In the specific implementation process, linear cutting of NdFeB permanent magnet alloy is required. The set fluctuation threshold is ±1%, and the target NdFeB permanent magnet alloy has a size of 50×50×10mm. The set fluctuation threshold is combined with the discharge information item and the wire information item, and the discharge fluctuation set results are obtained by combining it with discharge energy, pulse width, and discharge interval, as shown in Table 2. Table 2 parameter benchmark value ±1% fluctuation range Data source Discharge energy 2.5mJ 2.475-2.525mJ High-speed sampling Pulse width 25μs 24.75-25.25μs Oscilloscope edge detection Discharge interval 40μs 39.6-40.4μs Pulse Interval Timer The wire fluctuation set was obtained by combining the tension data of the cutting wire with the tension data of 15N. The wire fluctuation set was 14.85-15.15N. A univariate control method was used, changing only one fluctuation parameter at a time while keeping other parameters as baseline values. The dynamic influence values ​​of material information items and cooling information items were collected. The discharge fluctuation set, wire fluctuation set, material control set, and cooling control set were used as training data for model training. The input features were the discharge fluctuation set and the wire fluctuation set, and the output features were the material control set and the cooling control set. The model selected was the LightGBM regression tree, which has the advantages of efficiently processing high-dimensional data and supporting feature importance ranking. The hyperparameters were set as follows: boosting_type: gbdt, num_leaves: 64, learning_rate: 0.05, n_estimators: 1000, reg_alpha: 0.1. L1 regularization suppresses overfitting. Initial weights are set for the input parameters, with initial weights of 0.38, 0.29, 0.18, and 0.15 for discharge energy, pulse width, discharge interval, and tension of the cutting line, respectively. The model is then trained to create a mapping relationship model.

[0033] Reverse Comparison Module: Based on the mapping relationship model, it uses the combination of real-time acquired material information items and cooling information items as reverse input to obtain the reverse output result and obtain the output combination set.

[0034] It should be noted that the method for obtaining the output combination set includes: acquiring the dynamic change data of material information items and cooling information items in real time to obtain real-time material items and real-time cooling items; based on the mapping relationship model, using the real-time material items and real-time cooling items as model inputs, obtaining the model output results, including discharge information item results and wire information item results, to obtain discharge result items and wire result items; and obtaining the output combination set based on the combination information of discharge result items and wire result items.

[0035] Specifically, during the wire cutting of permanent magnet alloy parts, since a mapping relationship model has been created, the changes in the acquired material information items and cooling information items—that is, the real-time material items and real-time cooling items—are used as the reverse inputs to obtain the output results of the mapping relationship model, namely, discharge energy, pulse width, discharge interval, and wire tension data. In the output results, different combinations of data can achieve corresponding results with the changes in the material information items and cooling items. For example, adjusting the discharge energy and wire tension data can be the first combination, adjusting the pulse width and discharge interval can be the second combination, adjusting the discharge energy, pulse width, and discharge interval can be the third combination, and so on. Therefore, based on the combined information of the discharge result items and the wire result items, an output combination set is obtained.

[0036] The control module adaptively determines the output combination set and obtains the combination of target discharge information item and wire information item as the adaptive control combination, thereby realizing the adaptive control of multiple parameters.

[0037] It should be noted that the method for obtaining the adaptive adjustment combination includes: based on the output combination set, obtaining the result loss of the discharge result item and the wire result item, including energy loss, to obtain the discharge result loss item and the wire result loss item; obtaining the combined loss information of the discharge result loss item and the wire result loss item, and taking the discharge result loss item and the wire result loss item with the lowest combined loss as the target combination, thereby obtaining the adaptive adjustment combination.

[0038] Specifically, when adjusting the discharge energy, pulse width, discharge interval, and cutting line tension data, there will be corresponding energy losses. For example, increasing the discharge energy and extending the discharge interval is the first combination of the output combination set, while decreasing the discharge energy and shortening the discharge interval is the second combination of the output combination set. However, the energy loss required to increase the discharge energy and extend the discharge interval is higher than that required to decrease the discharge energy and shorten the discharge interval. Therefore, the second combination has a higher priority than the first combination. Thus, the first combination is selected as the adaptive adjustment combination for parameter adjustment.

[0039] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended embodiments and their equivalents.

Claims

1. A multi-parameter adaptive control system for wire EDM machining of permanent magnet alloy parts, comprising: Data acquisition module: Set up a multi-source sensing module, including a discharge state monitoring unit, a material state monitoring unit, a cooling state monitoring unit, and a line tension monitoring unit; The discharge status monitoring unit is used to acquire the real-time status information of the discharge module and obtain the discharge information item; the material status monitoring unit is used to monitor the real-time status information of the alloy part to be cut and obtain the material information item; the cooling status monitoring unit is used to acquire the real-time status information of the coolant and obtain the cooling information item; and the wire tension monitoring unit is used to acquire the real-time status information of the cutting wire and obtain the wire information item. Its characteristic is that it further includes: Model creation module: Using discharge information and wire information as dynamic inputs, and material information and cooling information as dynamic outputs, the module obtains the mapping relationship between the dynamic inputs and outputs and creates a mapping relationship model. Reverse Comparison Module: Based on the mapping relationship model, during the cutting process, the combination of material information items and cooling information items acquired in real time is used as reverse input to obtain reverse output results. The reverse output results include at least two combinations of discharge information items and wire information items to obtain an output combination set. The control module adaptively determines the output combination set, obtaining the combination of target discharge information items and wire information items as the adaptive control combination, thereby realizing the adaptive control of multiple parameters. The method for obtaining the output combination set includes: Real-time acquisition of dynamic change data for material information items and cooling information items yields real-time material and cooling data. Based on the mapping relationship model, the real-time material item and the real-time cooling item are used as model inputs to obtain the model output results, including discharge information item results and wire information item results, and thus obtain discharge result items and wire result items. Based on the combined information of the discharge result item and the wire result item, the output combination set is obtained; The method for obtaining the adaptive adjustment combination includes: Based on the output combination set, the result loss of the discharge result item and the wire result item, including energy loss, are obtained respectively, resulting in the discharge result loss item and the wire result loss item. The combined loss information of discharge result loss item and wire result loss item is obtained. The discharge result item and wire result item corresponding to the discharge result loss item with the lowest combined loss are taken as the target combination, and then the adaptive adjustment combination is obtained.

2. The multi-parameter adaptive control system for wire EDM machining of permanent magnet alloy parts according to claim 1, characterized in that: The method for creating the mapping relationship model includes: Set a fluctuation threshold, which is a fixed percentage increase or decrease, to obtain the set fluctuation item; By combining the set fluctuation items with the discharge information items and the wire information items respectively, discharge fluctuation sets and wire fluctuation sets are obtained; Based on the discharge fluctuation set and the wire fluctuation set, the real-time dynamic change values ​​of the material information item and the cooling information item are obtained respectively, and the material reference set and the cooling reference set are obtained. The model was trained using discharge fluctuation set, wire fluctuation set, material control set and cooling control set as training data respectively, and then the comparison relationship between dynamic input and dynamic output was monitored to obtain the mapping relationship model.

3. A multi-parameter adaptive control system for wire EDM machining of permanent magnet alloy parts according to claim 1, characterized in that: The real-time status information of the discharge module includes discharge energy, pulse width, and discharge interval. The methods for obtaining the discharge information items include: The position information of the current output terminal of the discharge unit is obtained to obtain the discharge position item. Based on the discharge position item, the first sampling module is arranged. Based on the first sampling module, the first expansion value is set. The first expansion value is a fixed multiple value. Based on the combination result of the first expansion value and the first sampling module, the sampling frequency is obtained, and then the first frequency item is obtained. Based on the first frequency term, the discharge state is sampled through the first sampling module to obtain the discharge energy, pulse width, and discharge interval, thus obtaining the discharge information term.

4. A multi-parameter adaptive control system for wire EDM machining of permanent magnet alloy parts according to claim 1, characterized in that: The real-time status information of the alloy part to be cut includes the internal and external temperatures of the alloy part and the size of the cutting gap. The method for obtaining the material information includes: The position information of the alloy part to be cut is obtained to obtain the cutting position item. Based on the cutting position item, a second sampling module is arranged. Based on the second sampling module, the surface temperature distribution of the alloy part to be cut during the processing is obtained to obtain the surface temperature item. Based on the surface temperature item and the reflection characteristics, the internal temperature field is inferred through the heat conduction model to obtain the internal temperature item, and then the internal and external temperatures of the alloy part are obtained. Based on the cutting location, a high-resolution camera is deployed to acquire data on the size of the cutting kerf in the alloy part to be cut, thereby obtaining the material information.

5. A multi-parameter adaptive control system for wire EDM machining of permanent magnet alloy parts according to claim 1, characterized in that: The real-time status information of the coolant includes coolant temperature and coolant flow rate. The methods for obtaining the cooling information items include: The system acquires coolant circuit path information and nozzle position information to obtain cooling path items and nozzle position items. Based on the cooling path items and nozzle position items, a third sampling module is set up. Based on the third sampling module, coolant attribute data is acquired, thereby obtaining coolant temperature and coolant flow rate, and cooling information items are obtained.

6. A multi-parameter adaptive control system for wire EDM machining of permanent magnet alloy parts according to claim 1, characterized in that: The real-time status information of the cutting wire includes tension data, and the methods for obtaining the wire information items include: The wire tension transmission path information of the cutting wire is obtained to obtain the wire path item. Based on the wire path item, at least two arrangement feature points are set, and tension sensors are arranged based on the arrangement feature points to obtain the tension data of the cutting wire, thereby obtaining the wire information item.

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