Data processing method, turning repair machining method and related equipment thereof

Abstract

The embodiment of the invention relates to the technical field of turning machining, and discloses a data processing method, a turning machining method and related equipment thereof. The method comprises the steps that when it is detected that a tool enters a target machining stage to machine a workpiece, target process response data is obtained and used for reflecting the deformation degree of the workpiece, target deformation characteristics are determined according to the target process response data, and turning repair operation is executed on the workpiece according to the target deformation characteristics and a preset characteristic threshold value. According to the embodiment, the target deformation characteristics of the workpiece can be excavated in the turning machining process, the corresponding turning operation can be automatically executed based on the target deformation characteristics, the situation that turning is conducted again after it is found that the workpiece still deforms afterwards is avoided, the turning machining efficiency is improved, and the turning machining cost is reduced. And meanwhile, a large amount of time and energy for guarding operators are released, and the occurrence of quality abnormity in the turning repair machining process is reduced.

Description

Technical Field

[0001] Embodiments of the present application relate to the technical field of turning and finishing processing, and in particular, to a data processing method, a turning and finishing processing method, and related devices thereof. Background Art

[0002] Turning and finishing is a metal processing technology used to repair or trim the outer diameter of parts, and is often used to trim the polygon problem of wheels. After the wheels are trimmed by turning and finishing in related technologies, it is necessary to manually measure the outer diameter of the wheels with a contour measurement device to detect whether the polygon problem of the wheels has been solved, so as to confirm the quality of the processed wheels. When the polygon problem of the wheels has not been solved by manual measurement, people need to turn and finish the wheels again. The processing efficiency of this turning and finishing processing method is relatively low. Summary of the Invention

[0003] An object of embodiments of the present application is to provide a data processing method, a turning and finishing processing method, and related devices thereof. The data processing method can identify polygon problems, and the turning and finishing processing method can control the actions of the machine tool through the polygon problems identified by the data processing method, so as to solve the technical problem of relatively low processing efficiency of the turning and finishing processing method provided by related technologies.

[0004] In a first aspect, embodiments of the present application provide a data processing method, including: when detecting that a tool enters a target processing stage to process a workpiece, obtaining target process response data, where the target process response data is used to reflect the deformation degree of the workpiece; determining a target deformation feature according to the target process response data; and judging whether the workpiece processed in the target processing stage has a polygon problem according to the relationship between the target deformation feature and a preset feature threshold.

[0005] In a second aspect, embodiments of the present application provide a turning and finishing processing method, including:

[0006] When detecting that a tool enters a target processing stage to process a workpiece, obtaining target process response data, where the target process response data is used to reflect the deformation degree of the workpiece;

[0007] Determining a target deformation feature according to the target process response data;

[0008] Performing a turning and finishing operation on the workpiece according to the target deformation feature and a preset feature threshold.

[0009] Optionally, the turning and finishing operation includes a polygon elimination operation or a normal processing operation. The performing a turning and finishing operation on the workpiece according to the target deformation feature and a preset feature threshold includes:

[0010] Judging whether the target deformation feature is greater than a preset feature threshold;

[0011] If it is greater than, perform a polygon elimination operation on the workpiece;

[0012] If it is less than or equal to, perform a normal machining operation on the workpiece.

[0013] Optionally, the workpiece is circumscribed about a friction wheel for driving the workpiece, and performing the polygon elimination operation on the workpiece includes: increasing the feed rate of the tool and / or decreasing the rotational speed of the friction wheel.

[0014] Optionally, increasing the feed rate of the tool includes: adjusting the feed rate of the tool to a preset maximum feed rate according to a preset maximum feed rate multiple.

[0015] Optionally, decreasing the rotational speed of the friction wheel includes: adjusting the rotational speed of the friction wheel to a preset minimum rotational speed according to a preset minimum rotational speed multiple.

[0016] Optionally, the turning operation includes multiple machining stages, and the target machining stage is the first machining stage of the multiple machining stages.

[0017] Optionally, the workpiece is circumscribed about a friction wheel for driving the workpiece, and the target process response data includes vibration data of the friction wheel vibrating.

[0018] Optionally, the turning operation includes multiple machining stages, and the method further includes:

[0019] Obtaining reference process response data of the tool in a non-standard machining stage, where the non-standard machining stage is the machining stage after removing the target machining stage from the multiple machining stages;

[0020] Determining a reference deformation feature according to the reference process response data;

[0021] If the reference deformation feature is greater than the preset feature threshold, generate a prompt message.

[0022] Optionally, the method further includes:

[0023] Obtaining the drive power data of the friction wheel;

[0024] Adaptive adjusting the machining state of the target workpiece according to the drive power data.

[0025] Optionally, the adaptive adjusting the machining state of the target workpiece according to the drive power data includes:

[0026] Determine the physical change attribute of the target machining area according to the driving power data, where the target machining area is the area where the tool performs a turning and repair operation on the target workpiece, and the physical change attribute is used to represent the physical change trend of the target machining area;

[0027] Adaptive adjust the machining state of the target workpiece according to the physical parameters.

[0028] Optionally, the determining the physical change attribute of the target machining area according to the driving power data includes:

[0029] Determine the target change rate of the driving power data;

[0030] Determine the physical change attribute of the target machining area according to the driving power data and the target change rate.

[0031] Optionally, the physical change attribute includes a first type of change feature and a second type of change feature, and the determining the physical change attribute of the target machining area according to the driving power data and the target change rate includes:

[0032] If the driving power data is less than the first preset power threshold and the target change rate is greater than the preset change rate, determine that the physical change attribute of the target machining area is the first type of change feature;

[0033] If the driving power data is greater than the first preset power threshold but less than the second preset power threshold, and the target change rate is greater than the preset change rate, determine that the physical change attribute of the target machining area is the second type of change feature.

[0034] Optionally, the physical change attribute includes a first type of change feature and a second type of change feature, and the adaptive adjustment of the machining state of the target workpiece according to the physical parameters includes:

[0035] If the physical change attribute is the first type of change feature, increase the feed speed of the tool;

[0036] If the physical change attribute is the second type of change feature, decrease the feed speed of the tool.

[0037] In a third aspect, an embodiment of the present application provides a computer device, which is characterized by including a memory and a processor, the memory is connected to the processor, the processor is used to execute one or more computer programs stored in the memory, and when the processor executes the one or more computer programs, the computer device implements the above method.

[0038] In a fourth aspect, an embodiment of the present application provides a numerical control machine tool, including the above computer device.

[0039] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to execute the above method.

[0040] The embodiments of the present application can achieve the following technical effects: In the trimming processing method provided by the embodiments of the present application, when detecting that a tool enters a target processing stage to process a workpiece, target process response data is acquired, and the target process response data is used to reflect the deformation degree of the workpiece. Based on the target process response data, a target deformation feature is determined, and a trimming operation is performed on the workpiece according to the target deformation feature and a preset feature threshold. This embodiment can extract the target deformation feature of the workpiece during the trimming process and automatically perform the corresponding trimming operation based on the target deformation feature, avoiding the situation where it is only discovered later that the workpiece still has deformation and then re-trimming is required. This is beneficial to improving the trimming processing efficiency, while freeing up a lot of time and energy of on-duty operators and reducing the occurrence of quality abnormalities during the trimming process. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments of the present application. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0042] Figure 1 It is a schematic diagram of the system architecture of a numerical control machine tool provided by an embodiment of the present application;

[0043] Figure 2 It is a schematic diagram of the positions of a first friction wheel, a second friction wheel, a workpiece, and a tool provided by an embodiment of the present application;

[0044] Figure 3 It is a schematic flowchart of a trimming processing method provided by an embodiment of the present application;

[0045] Figure 4 It is a schematic diagram of a first length corresponding to the first processing stage provided by an embodiment of the present application;

[0046] Figure 5 It is a schematic diagram of the structure of a trimming processing device provided by an embodiment of the present application;

[0047] Figure 6 It is a schematic diagram of the structure of a computer device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without making creative efforts belong to the scope of protection of the present application.

[0049] It should be noted that if there is no conflict, the various features in the embodiments of the present application can be combined with each other, and all are within the scope of protection of the present application. In addition, although the functional modules are divided in the device schematic diagram and the logical sequence is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from the module division in the device or the sequence in the flowchart. Furthermore, the terms "first", "second", "third", etc. used in the present application do not limit the data and the execution order, but only distinguish the same items or similar items with basically the same functions and effects.

[0050] As mentioned in the background art, the related technology mainly uses the grinding method based on manual experience and post-measurement to eliminate the polygonal problem of the wheel. This method mainly depends on the ability and operation specifications of the operator. When there are still polygonal quality problems with the wheel, people need to reprocess the vehicle, resulting in low processing efficiency.

[0051] The inventor also found that the setting of the parameters of the grinding process in the related technology is relatively conservative. The method of conservatively setting the grinding parameters can prevent the large allowance processing during grinding from having a negative impact on the tool and the machine tool. For example, it can avoid tool breakage or spindle overload caused by large allowance processing. Although the conservative grinding processing method can improve the service life of the tool or the machine tool, the negative impact brought by the conservative grinding processing method is the reduction of the grinding processing efficiency. For example, the conservative grinding processing method configures a fixed feed rate for the machine tool, and the tool processes workpieces with thinner thickness and workpieces with thicker thickness at the same fixed feed rate. However, the tool can quickly complete the processing of the thinner workpiece, resulting in more large allowance processing for the tool, thus relatively reducing the processing efficiency.

[0052] In addition, the grinding process is often used in the processing of wheels, such as the wheels of trains. The thickness of the worn wheel along the axis direction on the railway track will be uneven, and it is easy to waste a certain processing rhythm when using fixed processing parameters for processing.

[0053] The embodiments of the present application can extract the target deformation characteristics of the workpiece during the turning and milling process, and can automatically perform corresponding turning and milling operations based on the target deformation characteristics, avoiding the situation where the workpiece is still deformed and needs to be re-turned and milled after the fact. This is beneficial to improving the turning and milling processing efficiency, while releasing a large amount of time and energy of the on-duty operators and reducing the occurrence of quality abnormalities during the turning and milling process.

[0054] The embodiments of the present application can adaptively adjust the processing state of the target workpiece through the driving power data of the friction wheel. When the target processing area becomes thinner or softer, the feed speed of the tool is increased, which can reduce the occurrence of surplus machining and improve the processing efficiency. When the target processing area becomes thicker or harder, the feed speed of the tool is reduced, which can protect the tool or the machine tool.

[0055] As an exemplary illustration of the embodiments of the present application, the embodiments of the present application provide a numerical control machine tool. Among them, the numerical control machine tool can be a vertical numerical control machine tool or a horizontal numerical control machine tool. The numerical control machine tool provided by the embodiments of the present application can support the turning and milling processing method. Among them, the numerical control machine tool supports any workpiece that needs to be turned and milled, such as the workpiece is a wheel, a sleeve, etc. The wheel can be a non-drop wheel or a drop wheel. The non-drop wheel is a wheel that does not need to be removed from the vehicle, and the drop wheel is a wheel that needs to be removed from the vehicle.

[0056] Please refer to Figure 1 , the numerical control machine tool 100 includes a machine tool body 11, a tool 12, a vibration acquisition module 13, a power acquisition module 14, and a computer device 15.

[0057] The machine tool body 11, as the main body of the numerical control machine tool 100, can support the turning and milling processing method. Among them, the machine tool body 11 includes a bed, a clamping device, a pair of friction wheels, and a control module. The clamping device is installed on the bed and is used to clamp the workpiece. When the workpiece is clamped, it can move relative to the bed. The workpiece can be a non-drop wheel, a drop wheel, or other components with different shapes or properties.

[0058] Please refer to Figure 2 , the pair of friction wheels 20 includes a first friction wheel 21 and a second friction wheel 22. The first friction wheel 21 and the second friction wheel 22 are respectively installed on opposite sides of the workpiece 23. Among them, the first friction wheel 21 is externally tangent to the workpiece 23 on the first side, and the second friction wheel 22 is externally tangent to the workpiece 23 on the second side. The first friction wheel 21 and the second friction wheel 22 can rotate synchronously to drive the workpiece 23 to rotate. When both the first friction wheel 21 and the second friction wheel 22 rotate counterclockwise, the workpiece 23 rotates clockwise. When both the first friction wheel 21 and the second friction wheel 22 rotate clockwise, the workpiece 23 rotates counterclockwise.

[0059] The control module is used to output driving power to the pair of friction wheels to control the rotation speed of the pair of friction wheels.

[0060] The tool 12 is installed on the lathe bed and is used to perform turning and milling operations on the workpiece 23. Among them, when the workpiece 23 rotates, the tool 12 can perform turning and milling operations on the workpiece 23.

[0061] The vibration acquisition module 13 is installed in the area of the fixed friction wheel pair 20 and is used to collect the vibration data of the friction wheel pair 20. The vibration acquisition module 13 includes a first vibration sensor 131 and a second vibration sensor 132. The first vibration sensor 131 is installed in the area of the fixed first friction wheel 21, and the second vibration sensor 132 is installed in the area of the fixed second friction wheel 22. The first vibration sensor 131 is used to collect the vibration data of the first friction wheel 21, and the second vibration sensor 132 is used to collect the vibration data of the second friction wheel 22.

[0062] The power acquisition module 14 is used to collect the drive power data for driving the rotation of the friction wheel pair 20. The power acquisition module 14 includes a first power sensor 141 and a second power sensor 142. The first power sensor 141 is used to collect the drive power data of the first friction wheel 21, and the second power sensor 142 is used to collect the drive power data of the second friction wheel 22. The power sensor can be a Hall sensor or other current-type sensors or other voltage-type sensors.

[0063] The computer device 15 is electrically connected to the vibration acquisition module 13 and the power acquisition module 14 respectively, and is used to execute the turning and milling processing methods described in the following embodiments.

[0064] It can be understood that the computer device 15 may be a part of the aforementioned control module. In other words, the aforementioned control module can execute the functions of the computer device 15.

[0065] It can also be understood that the computer device 15 and the aforementioned control module are parallel independent devices.

[0066] As an exemplary illustration of the embodiments of the present application, the embodiments of the present application provide a turning and milling processing method.

[0067] Please refer to Figure 3 , the turning and milling processing method includes the following steps:

[0068] S31: When detecting that the tool enters the target processing stage to process the workpiece, obtain the target process response data, and the target process response data is used to reflect the deformation degree of the workpiece.

[0069] In this step, the tool is used to perform a turning and repairing operation on the workpiece to eliminate the polygon problem that occurs on the workpiece. It can be understood that the polygon problem in this technical field can be understood as the deformation of the shape of the workpiece. For example, if the workpiece is a wheel, the normal shape of the wheel is circular. Due to the long-term operation of the wheel, the shape of the wheel gradually becomes elliptical or irregular. This situation can be called the wheel having a polygon problem.

[0070] The turning and repairing operation includes a plurality of preset processing stages. The tool can use different processing technologies to turn and repair the workpiece in different processing stages. At the same time, different monitoring strategies can also be executed in different processing stages. For example, the turning and repairing operation includes 6 processing stages. The positions and times of different processing stages can be customized by the designer according to engineering experience. Please refer to Figure 4 , the time of the first processing stage P1 (i.e., the first processing stage) is the time required for the tool to move a first length from the circumference of the wheel along the axial direction of the wheel. The first length is 10 milliseconds to 20 millimeters. The second processing stage is the time required for the tool to move a second length from the end point of the first processing stage along the axial direction of the wheel, and so on. This will not be elaborated here.

[0071] The target processing stage is one of the multiple processing stages. In some embodiments, the target processing stage can be any one of the multiple processing stages. In this embodiment, during any processing stage, the turning and repairing operation of the workpiece can be monitored using the target process response data. For example, in this embodiment, the turning and repairing operation of the workpiece can be monitored using the target process response data in the second processing stage or the third processing stage or the sixth processing stage.

[0072] In some embodiments, the target processing stage is the first processing stage of the multiple processing stages. When this embodiment monitors the turning and repairing operation of the workpiece using the target process response data in the first processing stage, this embodiment can identify the polygon problem in the starting processing area and promptly suppress and eliminate the polygon problem, avoiding the occurrence of the polygon problem in the starting processing area, and further avoiding the situation that the polygon problem still exists in the subsequent processing stages due to the inability to eliminate the polygon problem in the starting processing area, thereby avoiding finally turning and repairing a polygon-shaped wheel.

[0073] Detecting that the tool enters the target processing stage to process the workpiece includes the following steps: obtaining processing information, where the processing information includes processing stage information, parsing the processing information to obtain the processing stage information, determining whether the processing stage corresponding to the processing stage information is the target processing stage. If so, controlling the tool to enter the target processing stage to process the workpiece. If not, controlling the tool to process the workpiece according to the processing stage corresponding to the processing stage information.

[0074] The processing information is OPC UA (OLE for Process Control Unified Architecture) numerical control information. OPC UA numerical control information is an open industrial automation communication protocol used to transmit and share real-time data, historical data, and event information between different devices and systems. OPC UA numerical control information is based on a standardized, vendor- and platform-independent communication architecture designed to achieve interoperability between devices and secure data transmission. In a numerical control system, OPC UA numerical control information can be used to achieve the transmission and sharing of numerical control information. By using the OPC UA protocol, a numerically controlled machine tool can communicate with other devices (such as monitoring systems, data acquisition systems, factory-level information systems, etc.) and share real-time data and status information related to numerical control.

[0075] The target process response data is the data generated during the process of the workpiece being processed at the target machining node. Among them, the target process response data includes the vibration data of the friction wheel, or the first sound data of the workpiece being machined by the tool, or the second sound data of the workpiece rubbing against the friction wheel, etc. Since the friction wheel abuts and is tangent to the workpiece, when the shape of the workpiece is regular and smooth, the vibration amplitude applied by the workpiece to the friction wheel is small, or the sound emitted when the workpiece is machined by the tool is normal, or the sound emitted when the workpiece rubs against the friction wheel is also normal. When the shape of the workpiece is polygonal, the vibration amplitude applied by the workpiece to the friction wheel is large, or the sound emitted when the workpiece is machined by the tool is abnormal, or the sound emitted when the workpiece rubs against the friction wheel is also abnormal.

[0076] The degree of deformation is the degree to which the current shape of the workpiece deviates from the normal shape. Among them, the greater the degree of deformation of the workpiece, the stronger the expressiveness of the target process response data in expressing the degree of deformation.

[0077] In some embodiments, the target process response data includes the vibration data of the friction wheel vibrating. Obtaining the target process response data includes: obtaining the vibration data collected by the vibration acquisition module.

[0078] In some embodiments, the numerically controlled machine tool further includes a first sound acquisition module. The first sound acquisition module is used to collect the first sound data of the workpiece being machined by the tool. The target process response data includes the first sound data of the workpiece being machined by the tool. Obtaining the target process response data includes: obtaining the first sound data collected by the first sound acquisition module.

[0079] In some embodiments, the numerically controlled machine tool further includes a second sound acquisition module. The second sound acquisition module is used to collect the second sound data of the workpiece rubbing against the friction wheel. The target process response data includes the second sound data of the workpiece rubbing against the friction wheel. Obtaining the target process response data includes: obtaining the second sound data collected by the second sound acquisition module.

[0080] S32: Determine the target deformation feature according to the target process response data.

[0081] In this step, the target deformation feature is a feature reflecting the deformation degree of the workpiece. The target deformation feature can be represented by time-domain features or frequency-domain features. In some embodiments, the target deformation feature includes power spectral density amplitude, signal energy, signal peak value, or zero-crossing rate, etc.

[0082] In some embodiments, the target deformation feature is the power spectral density amplitude. Determining the target deformation feature according to the target process response data includes the following steps: preprocess the target process response data to obtain the preprocessed process response data, convert the preprocessed process response data into frequency-domain data according to the Fourier transform algorithm. The frequency-domain data includes different frequency components, calculate the energy of each frequency component to obtain the power spectral density amplitude.

[0083] S33: Perform a turning and milling operation on the workpiece according to the target deformation feature and the preset feature threshold.

[0084] In this step, the preset feature threshold is customized by the designer according to engineering experience. This embodiment can extract the target deformation feature of the workpiece during the turning and milling process, and can automatically perform the corresponding turning and milling operation based on the target deformation feature, avoiding the situation where the workpiece is still deformed and needs to be re-turned and milled after the event. This is beneficial to improving the turning and milling processing efficiency, while releasing a large amount of time and energy of the on-duty operators and reducing the occurrence of quality abnormalities during the turning and milling process.

[0085] In some embodiments, the turning and milling operation includes a polygon elimination operation or a normal machining operation. The polygon elimination operation is used to eliminate the polygon of the workpiece so that the shape of the workpiece meets the requirements. The normal machining operation is used to remove the worn, corroded, or damaged parts on the surface of the workpiece and restore the workpiece to the design size or adjust the size of the workpiece to meet specific requirements.

[0086] Performing a turning and milling operation on the workpiece according to the target deformation feature and the preset feature threshold includes the following steps:

[0087] S331: Determine whether the target deformation feature is greater than the preset feature threshold.

[0088] S332: If it is greater, perform a polygon elimination operation on the workpiece.

[0089] S333: If it is less than or equal to, perform a normal machining operation on the workpiece.

[0090] In S331, in this embodiment, the target deformation feature is compared with the preset feature threshold to determine whether the target deformation feature is greater than the preset feature threshold.

[0091] In S332, if the target deformation feature is greater than the preset feature threshold, it indicates that the workpiece has a polygon problem. In this embodiment, it is necessary to perform a polygon elimination operation on the workpiece to eliminate the polygon problem of the workpiece.

[0092] In S333, if the target deformation feature is less than or equal to the preset feature threshold, it indicates that the workpiece does not have a polygon problem. In this embodiment, a normal machining operation is performed on the workpiece.

[0093] This embodiment can monitor whether the workpiece has a polygon problem in the target machining stage, so as to timely take a polygon elimination operation in the target machining stage to suppress or eliminate the polygon problem of the workpiece. The process of eliminating the polygon problem of the workpiece does not require manual intervention, and can automatically and intelligently eliminate the polygon problem of the workpiece, which is beneficial to improving the machining efficiency and machining quality.

[0094] The workpiece is circumscribed by a friction wheel, and the friction wheel is used to drive the workpiece. In some embodiments, performing a polygon elimination operation on the workpiece includes: increasing the feed rate of the tool. When the tool processes the workpiece at a higher feed rate, this can reduce the vibration of the workpiece on the friction wheel, and the tool moves quickly during the vibration of the workpiece on the friction wheel, suppressing the vibration of the workpiece on the friction wheel. At the same time, it can also quickly smooth the surface of the workpiece.

[0095] It can be understood that in this embodiment, the feed rate of the tool can be increased to any specified feed rate.

[0096] It can also be understood that increasing the feed rate of the tool includes: adjusting the feed rate of the tool to the preset maximum feed rate according to the preset maximum feed rate multiple. In other words, in this embodiment, the feed rate of the tool is increased to the maximum feed rate, and the tool can move at a high speed on the surface of the workpiece, greatly suppressing the vibration of the workpiece on the friction wheel, and can also quickly smooth the surface of the workpiece at a high speed.

[0097] In some embodiments, performing a polygon elimination operation on the workpiece includes: reducing the rotational speed of the friction wheel. Generally, when the workpiece has a polygon problem, the vibration frequency of the workpiece on the friction wheel is proportional to the linear velocity of the friction wheel. In this embodiment, the rotational speed of the friction wheel is reduced, which can prompt the workpiece to reduce the vibration on the friction wheel, so that the tool can stably and reliably smooth the surface of the workpiece, and thus is beneficial to eliminating the polygon problem.

[0098] It can be understood that in this embodiment, the rotational speed of the friction wheel can be increased to any specified rotational speed.

[0099] It can also be understood that reducing the rotational speed of the friction wheel includes: adjusting the rotational speed of the friction wheel to a preset minimum rotational speed according to a preset minimum speed magnification factor. In other words, in this embodiment, the friction wheel is controlled at the minimum rotational speed, thereby greatly reducing the vibration of the workpiece against the friction wheel, which is beneficial for the tool to more stably and reliably finish machining the surface of the workpiece smoothly.

[0100] In some embodiments, performing a polygon elimination operation on a workpiece includes: increasing the feed rate of the tool and reducing the rotational speed of the friction wheel.

[0101] In some embodiments, performing a polygon elimination operation on a workpiece includes: adjusting the feed rate of the tool to a preset maximum feed rate and adjusting the rotational speed of the friction wheel to a preset minimum rotational speed.

[0102] In this embodiment, not only is the vibration of the workpiece against the friction wheel suppressed by increasing the feed rate of the tool, and the vibration of the workpiece against the friction wheel reduced by reducing the rotational speed of the friction wheel, but also the tool can quickly finish machining the surface of the workpiece smoothly in the above state, thereby achieving high efficiency, high reliability, and high quality in eliminating the polygon problem of the workpiece.

[0103] After the turning operation in the target machining stage is completed in this embodiment, the feed rate of the tool is restored to the initial feed rate, and the rotational speed of the friction wheel is restored to the initial rotational speed.

[0104] In some embodiments, the turning operation includes multiple machining stages, and the method further includes the following steps:

[0105] S34: Obtain the reference process response data of the tool in the non-standard machining stage.

[0106] S35: Determine the reference deformation feature according to the reference process response data.

[0107] S36: If the reference deformation feature is greater than a preset feature threshold, generate a prompt message.

[0108] S37: If the reference deformation feature is less than or equal to the preset feature threshold, continue to detect the reference process response data.

[0109] In S34, the reference process response data is the process response data obtained in the non-standard machining stage, and the non-standard machining stage is the machining stage after removing the target machining stage from the multiple machining stages. For example, a numerically controlled machine tool processes a workpiece in 6 machining stages in sequence. When the target machining stage is the first machining stage, the non-standard machining stage is the second machining stage or the third machining stage or the fourth machining stage or the fifth machining stage or the sixth machining stage.

[0110] In S35, the reference deformation feature includes power spectrum density amplitude, signal energy, signal peak or zero crossing rate, etc. In some embodiments, the reference deformation feature is power spectrum density amplitude, and determining the reference deformation feature according to the reference process response data includes the following steps: preprocessing the reference process response data to obtain preprocessed process response data, converting the preprocessed process response data into frequency domain data according to a Fourier transform algorithm, the frequency domain data includes different frequency components, calculating the energy of each frequency component, and obtaining the power spectrum density amplitude.

[0111] In S36, if the reference deformation feature is greater than the preset feature threshold, it means that a polygon problem has occurred in the workpiece during the non-standard processing stage. In order to avoid the polygon problem from continuing to occur in other subsequent processing stages, this embodiment generates a prompt message to facilitate manual intervention to eliminate the polygon problem of the workpiece, so that the loss can be stopped in time.

[0112] In some embodiments, generating prompt information includes: voice broadcasting the prompt information.

[0113] In some embodiments, generating prompt information includes: generating lighting information, where the lighting information is the prompt information.

[0114] In some embodiments, the CNC machine tool is configured with an operation interface, and generating prompt information includes: controlling the operation interface to present the prompt information.

[0115] In S37, if the reference deformation feature is less than or equal to the preset feature threshold, it means that the workpiece does not have a polygon problem in the non-standard processing stage. This embodiment continues to detect the reference process response data for continued monitoring.

[0116] This embodiment can monitor the deformation characteristics throughout the workpiece during all processing stages, and adopts differentiated monitoring strategies in the target processing stage and the non-standard processing stage. When a polygon problem occurs in the workpiece, this embodiment adopts a polygon elimination operation in the target processing stage and an alarm prompt operation in the non-standard processing stage. During the application process, if this embodiment does not monitor the workpiece to have a polygon problem in the target processing stage, but it appears in the non-standard processing stage, it means that the polygon problem of the workpiece is relatively serious, and manual intervention is required for reprocessing to ensure the processing quality.

[0117] In some embodiments, the method further comprises the following steps:

[0118] S38: Acquire the driving power data of the friction wheel.

[0119] S39: Adaptively adjusting the processing state of the target workpiece according to the driving power data.

[0120] In S38, the drive power data is the power data for driving the friction wheel to rotate. Obtaining the drive power data of the friction wheel includes: obtaining the drive power data of the friction wheel in the non-standard machining stage, such as the drive power data collected by the power acquisition module in the non-standard machining stage in this embodiment.

[0121] In S39, this embodiment can adaptively adjust the machining state of the target workpiece according to the drive power data, so as to overcome the problem of low machining efficiency caused by the conservative machining method in the related art.

[0122] In some embodiments, adaptively adjusting the machining state of the target workpiece according to the drive power data includes the following steps:

[0123] S391: Determine the physical change attribute of the target machining area according to the drive power data, where the target machining area is the area where the tool performs the turning operation on the target workpiece.

[0124] S392: Adaptively adjust the machining state of the target workpiece according to the physical parameters.

[0125] In S391, different machining areas of the workpiece are prone to different physical change attributes. The physical change attribute is used to represent the physical change trend of the target machining area, such as the thickness change degree and / or the hardness change degree of the target machining area.

[0126] The physical change attribute includes a first type of change feature and a second type of change feature. The first type of change feature and the second type of change feature are two different types of change features belonging to the same nature.

[0127] In some embodiments, the first type of change feature may be the thickness thinning feature, and the second type of change feature may be the thickness thickening feature. The thickness thinning feature is used to represent that the thickness of the target machining area gradually decreases along the machining direction of the tool, and the thickness thickening feature is used to represent that the thickness of the target machining area gradually increases along the machining direction of the tool.

[0128] In some embodiments, the first type of change feature may be the material softening feature, and the second type of change feature may be the material hardening feature. The material softening feature is used to represent that the material of the target machining area gradually softens along the machining direction of the tool, and the material hardening feature is used to represent that the material of the target machining area gradually hardens along the machining direction of the tool.

[0129] For example, a tool processes in the machining area D1 of a workpiece, that is, the machining area D1 is the target machining area. The shape of the machining area D1 is wavy. In the machining direction of the tool, if the thickness of the machining area D1 gradually thins, that is, the physical change attribute of the machining area D1 is the thickness thinning feature. If the thickness of the machining area D1 gradually thickens, that is, the physical change attribute of the machining area D1 is the thickness thickening feature. If the material of the machining area D1 gradually softens, that is, the physical change attribute of the machining area D1 is the material softening feature. If the material of the machining area D1 gradually hardens, that is, the physical change attribute of the machining area D1 is the material hardening feature.

[0130] Determining the physical change attribute of the target machining area based on the drive power data includes the following steps: determining the target change rate of the drive power data, and determining the physical change attribute of the target machining area according to the drive power data and the target change rate.

[0131] Determining the target change rate of the drive power data includes the following steps: taking the derivative of the drive power data to obtain the target change rate.

[0132] In some embodiments, determining the physical change attribute of the target machining area according to the drive power data and the target change rate includes the following steps:

[0133] S3911: If the drive power data is less than the first preset power threshold and the target change rate is greater than the preset change rate, determine that the physical change attribute of the target machining area is the first type of change feature.

[0134] S3912: If the drive power data is greater than the first preset power threshold but less than the second preset power threshold, and the target change rate is greater than the preset change rate, determine that the physical change attribute of the target machining area is the second type of change feature.

[0135] In S3911, the first preset power threshold is customized by the designer according to engineering experience. When the drive power data is less than the first preset power threshold, it indicates that the tool can perform turning machining on the target machining area without a large drive power. This situation is usually that the thickness of the target machining area is relatively thin or the material is relatively soft. When the target change rate is greater than the preset change rate, it indicates that the target machining area is not only relatively thin or the material is relatively soft, but also the thickness becomes smaller or the material becomes softer as it goes further. Therefore, in this embodiment, it can be determined that the physical change attribute of the target machining area is the thickness thinning feature or the material softening feature.

[0136] In S3912, the second preset power threshold is customized by the designer according to engineering experience, where the second preset power threshold is greater than the first preset power threshold. When the drive power data is greater than the first preset power threshold but less than the second preset power threshold, it indicates that the tool requires a relatively large drive power to perform turning machining on the target machining area. This situation usually means that the thickness of the target machining area is relatively thick or the material is relatively hard. When the target change rate is greater than the preset change rate, it indicates that not only is the thickness of the target machining area relatively thick or the material relatively hard, but also the thickness becomes larger or the material becomes harder as it progresses. Therefore, in this embodiment, it can be determined that the physical change attribute of the target machining area is a feature of increasing thickness or hardening of the material.

[0137] In S392, the physical change attribute includes a first type of change feature and a second type of change feature. Adaptive adjustment of the machining state of the target workpiece according to physical parameters includes the following steps: If the physical change attribute is the first type of change feature, the feed rate of the tool is increased; if the physical change attribute is the second type of change feature, the feed rate of the tool is decreased.

[0138] If the physical change attribute is a feature of decreasing thickness or softening of the material, in this embodiment, the feed rate of the tool is increased. This can reduce the phenomenon of the tool idling when the tool is machining at a fixed feed rate, shorten the machining time, and is beneficial to improving the machining efficiency. If the physical change attribute is a feature of increasing thickness or hardening of the material, since the thickness of the target machining area gradually increases or the material gradually hardens, if the tool is moved quickly or at a fixed feed rate, it is easy to apply too much load on the tool, resulting in tool damage. In this embodiment, the feed rate of the tool is decreased, which can reduce the load on the tool and enable the tool to safely and reliably machine the target machining area, thus being beneficial to improving the service life of the tool.

[0139] Generally speaking, the embodiment of the present application can adaptively adjust the machining state of the target workpiece through the drive power data of the friction wheel. When the target machining area becomes thinner or softer, the feed rate of the tool is increased, which can reduce the occurrence of surplus machining and improve the machining efficiency. When the target machining area becomes thicker or harder, the feed rate of the tool is decreased, which can protect the tool or the machine tool.

[0140] In some embodiments, before detecting that the tool enters the target machining stage to machine the workpiece, the method further includes: in response to the adaptive monitoring command received by the numerical control machine tool, controlling the numerical control machine tool to enter the adaptive monitoring mode. When the numerical control machine tool is in the adaptive monitoring mode, it enters the step of detecting that the tool enters the target machining stage to machine the workpiece.

[0141] In some embodiments, the method further includes: in response to a manual operation command received by the CNC machine tool, controlling the CNC machine tool to enter the manual monitoring mode. At this time, the CNC machine tool transfers the control right of monitoring the turning and grinding process to the operator.

[0142] In the embodiments of the present application, by performing time-domain and frequency-domain feature extraction processing on the driving power and vibration data of the friction wheel, and combining various process parameter combination conditions, a monitoring threshold is obtained, which can help the operator automatically detect abnormal polygon quality problems in the processing process, help the operator automatically control the machine tool to eliminate polygon problems when the problems occur and are detected, and help the operator automatically adjust the feed rate according to the driving power and change trend, which can improve problems such as late discovery of abnormal quality and low efficiency of solution measures in the current scenario. Compared with manual experience, the method provided in the embodiments of the present application can free a large amount of time and energy of on-duty operators, and also reduce the occurrence of abnormal quality in the processing process.

[0143] It should be noted that in the above various embodiments, there is not necessarily a certain order between the above steps. Those of ordinary skill in the art can understand according to the description of the embodiments of the present application that in different embodiments, the above steps can have different execution orders, that is, they can be executed in parallel or exchanged, etc.

[0144] As another aspect of the embodiments of the present application, the embodiments of the present application provide a turning and grinding processing device. Among them, the turning and grinding processing device can be a software module, and the software module includes several instructions, which are stored in a memory, and a processor can access the memory and call the instructions for execution to complete the turning and grinding processing methods described in the above various embodiments.

[0145] In some embodiments, the turning and grinding processing device can also be built by hardware devices. For example, the turning and grinding processing device can be built by one or more than two chips, and each chip can work in coordination with each other to complete the turning and grinding processing methods described in the above various embodiments. For another example, the turning and grinding processing device can also be built by various logic devices, such as being built by a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), a single-chip microcomputer, an ARM (Acorn RISC Machine) or other programmable logic devices, discrete gate or transistor logic, discrete hardware components, or any combination of these components.

[0146] The embodiments of the present application provide a turning and grinding processing device. Please refer to Figure 5 , the turning and grinding processing device 500 includes a data acquisition module 51, a feature determination module 52, and a turning and grinding operation module 53.

[0147] The data acquisition module 51 is used to obtain target process response data when the tool enters the target machining stage to machine the workpiece, and the target process response data is used to reflect the deformation degree of the workpiece. The feature determination module 52 is used to determine the target deformation feature according to the target process response data. The turning repair operation module 53 is used to perform a turning repair operation on the workpiece according to the target deformation feature and a preset feature threshold.

[0148] This embodiment can extract the target deformation feature of the workpiece during the turning repair process, and can automatically perform the corresponding turning repair operation based on the target deformation feature, avoiding the situation where the workpiece is still deformed and needs to be turned repaired again after the event. This is beneficial to improving the turning repair processing efficiency, and at the same time releases a lot of time and energy of the on-duty operators, reducing the occurrence of quality abnormalities during the turning repair process.

[0149] In some embodiments, the turning repair operation includes a polygon elimination operation or a normal machining operation. The turning repair operation module 53 is specifically configured to: determine whether the target deformation feature is greater than the preset feature threshold. If it is greater, perform a polygon elimination operation on the workpiece. If it is less than or equal, perform a normal machining operation on the workpiece.

[0150] In some embodiments, the workpiece is externally tangent to the friction wheel, and the friction wheel is used to drive the workpiece. The turning repair operation module 53 is specifically configured to: increase the feed speed of the tool, and / or, decrease the rotation speed of the friction wheel.

[0151] In some embodiments, the turning repair operation module 53 is specifically configured to: adjust the feed speed of the tool to the preset maximum feed speed according to the preset maximum feed speed ratio.

[0152] In some embodiments, the turning repair operation module 53 is specifically configured to: adjust the rotation speed of the friction wheel to the preset minimum rotation speed according to the preset minimum rotation speed ratio.

[0153] In some embodiments, the turning repair operation includes multiple machining stages, and the target machining stage is the first machining stage of the multiple machining stages.

[0154] In some embodiments, the workpiece is externally tangent to the friction wheel, and the friction wheel is used to drive the workpiece. The target process response data includes vibration data of the friction wheel vibrating.

[0155] In some embodiments, the turning repair operation includes multiple machining stages. The turning repair operation module 53 is specifically configured to: obtain the reference process response data of the tool during the non-standard machining stage. The non-standard machining stage is the machining stage after removing the target machining stage from the multiple machining stages. Determine the reference deformation feature according to the reference process response data. If the reference deformation feature is greater than the preset feature threshold, generate a prompt message.

[0156] In some embodiments, the grinding operation module 53 is specifically configured to: obtain the driving power data of the friction wheel, and adaptively adjust the processing state of the target workpiece according to the driving power data.

[0157] In some embodiments, the grinding operation module 53 is specifically configured to: determine the physical change attribute of the target machining area according to the driving power data, where the target machining area is the area where the tool performs the grinding operation on the target workpiece, and the physical change attribute is used to represent the physical change trend of the target machining area, and adaptively adjust the processing state of the target workpiece according to the physical parameters.

[0158] In some embodiments, the grinding operation module 53 is specifically configured to: determine the target change rate of the driving power data, and determine the physical change attribute of the target machining area according to the driving power data and the target change rate.

[0159] In some embodiments, the physical change attribute includes a first type of change feature and a second type of change feature. The grinding operation module 53 is specifically configured to: if the driving power data is less than the first preset power threshold and the target change rate is greater than the preset change rate, determine that the physical change attribute of the target machining area is the first type of change feature; if the driving power data is greater than the first preset power threshold but less than the second preset power threshold, and the target change rate is greater than the preset change rate, determine that the physical change attribute of the target machining area is the second type of change feature.

[0160] In some embodiments, the physical change attribute includes a first type of change feature and a second type of change feature. The grinding operation module 53 is specifically configured to: if the physical change attribute is the first type of change feature, increase the feed speed of the tool; if the physical change attribute is the second type of change feature, decrease the feed speed of the tool.

[0161] It should be noted that the above grinding processing device can execute the grinding processing method provided by the embodiments of the present application, and has the corresponding functional modules and beneficial effects for executing the method. For the technical details not described in detail in the embodiments of the grinding processing device, reference may be made to the grinding processing method provided by the embodiments of the present application.

[0162] See Figure 6 , Figure 6 FIG. is a schematic structural diagram of a computer device provided by an embodiment of the present application. The computer device 600 includes one or more processors 61 and a memory 62. The memory 62 is connected to one or more processors, for example, connected to the processor 61 through a bus.

[0163] The processor 61 is configured to support the computer device in performing the corresponding functions in the methods in the above method embodiments. The processor may be a central processing unit (CPU), a network processor (NP), a hardware chip, or any combination thereof. The above hardware chip may be an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The above PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0164] The memory 62 is used to store program codes, etc. The memory 62 may include a volatile memory (VM), such as a random access memory (RAM); the memory may also include a non-volatile memory (NVM), such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD), or a solid-state drive (SSD); the memory may further include a combination of the above types of memories.

[0165] The memory 62 can be used to store non-volatile software programs, non-volatile computer executable programs, and modules, such as the program instructions / modules corresponding to the machining method in the embodiments of the present application. The processor executes various functional applications and data processing of the machining method and the machining device by running the non-volatile software programs, instructions, and modules stored in the memory, that is, realizes the functions of each module or unit of the machining method and the machining device provided in the above method embodiments.

[0166] The memory 62 may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function. The data storage area may store data created according to the use of the grinding and machining device and the like. In some embodiments, the memory may optionally include a memory remotely provided with respect to the processor, and these remote memories may be connected to the grinding and machining device through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0167] The one or more modules are stored in the memory and, when executed by the one or more processors, perform the grinding and machining method in any of the above method embodiments. For example, the method steps described in the above method embodiments are executed to implement the functions of the modules described in the above device embodiments.

[0168] An embodiment of the present application further provides a computer-readable storage medium storing a computer program, the computer program including program instructions, and the program instructions, when executed by a computer, cause the computer to execute the method as described in the foregoing embodiments.

[0169] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium, and when executed, it may include the processes of the above method embodiments. Among them, the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0170] The foregoing disclosure is only a preferred embodiment of the present application, and of course it cannot be used to limit the scope of rights of the present application. Therefore, equivalent changes made according to the claims of the present application still fall within the scope covered by the present application.

Claims

1. A data processing method, characterized in that: include: When the detection tool enters the target processing stage to process the workpiece, target process response data is obtained, and the target process response data is used to reflect the deformation degree of the workpiece; determining target deformation characteristics according to the target process response data; According to the relationship between the target deformation feature and the preset feature threshold, it is determined whether the workpiece processed in the target processing stage has a polygon problem.

2. The method according to claim 1, characterized in that The step of judging whether a polygon problem occurs in the workpiece processed in the target processing stage according to the relationship between the target deformation feature and the preset feature threshold comprises: If the target deformation feature is greater than a preset feature threshold, it is determined that a polygon problem occurs in the workpiece processed in the target processing stage; If the target deformation feature is less than or equal to a preset feature threshold, it is determined that the workpiece processed in the target processing stage has no polygonal problem.

3. A turning and trimming method, characterized in that: include: When the detection tool enters the target processing stage to process the workpiece, target process response data is obtained, and the target process response data is used to reflect the deformation degree of the workpiece; determining target deformation characteristics according to the target process response data; A turning operation is performed on the workpiece according to the target deformation feature and a preset feature threshold.

4. The method according to claim 3, characterized in that The turning and repairing operation includes a polygon elimination operation or a normal processing operation, and the performing the turning and repairing operation on the workpiece according to the target deformation feature and the preset feature threshold includes: Determining whether the target deformation feature is greater than a preset feature threshold; If it is greater than, performing a polygon elimination operation on the workpiece; If it is less than or equal to, normal machining operation is performed on the workpiece.

5. The method according to claim 4, characterized in that The workpiece is circumscribed to a friction wheel, and the friction wheel is used to drive the workpiece. The polygon elimination operation performed on the workpiece includes: increasing the feed speed of the tool and / or reducing the rotation speed of the friction wheel.

6. The method according to claim 5, characterized in that Increasing the feed speed of the tool includes: adjusting the feed speed of the tool to a preset maximum feed speed according to a preset maximum feed speed multiplier.

7. The method according to claim 5, characterized in that The reducing the rotation speed of the friction wheel includes: adjusting the rotation speed of the friction wheel to a preset minimum rotation speed according to a preset minimum rotation speed multiplier.

8. The method according to claim 3, characterized in that The turning operation includes a plurality of processing stages, and the target processing stage is the first processing stage of the plurality of processing stages.

9. The method according to any one of claims 3 to 8, characterized in that: The workpiece is circumscribed to a friction wheel, the friction wheel is used to drive the workpiece, and the target process response data includes vibration data of the friction wheel vibrating.

10. The method according to claim 9, characterized in that The turning operation includes multiple processing stages, and the method further includes: Acquire reference process response data of the tool in a non-standard processing stage, wherein the non-standard processing stage is a processing stage after the target processing stage is removed from the plurality of processing stages; determining a reference deformation characteristic according to the reference process response data; If the reference deformation feature is greater than the preset feature threshold, a prompt message is generated.

11. The method according to claim 9, characterized in that Also includes: Acquiring driving power data of the friction wheel; The processing state of the target workpiece is adaptively adjusted according to the driving power data.

12. The method according to claim 11, characterized in that The step of adaptively adjusting the processing state of the target workpiece according to the driving power data comprises: Determine a physical change attribute of a target processing area according to the driving power data, the target processing area being an area where the tool performs a turning and repairing operation on the target workpiece, and the physical change attribute is used to represent a physical change trend of the target processing area; The processing state of the target workpiece is adaptively adjusted according to the physical parameter.

13. The method according to claim 12, characterized in that Determining the physical change attribute of the target processing area according to the driving power data includes: determining a target change rate of the driving power data; The physical change attribute of the target processing area is determined according to the driving power data and the target change rate.

14. The method according to claim 13, characterized in that The physical change attribute includes a first type of change feature and a second type of change feature, and the physical change attribute of the target processing area determined according to the driving power data and the target change rate includes: If the driving power data is less than a first preset power threshold and the target change rate is greater than a preset change rate, determining that the physical change attribute of the target processing area is a first type of change feature; If the driving power data is greater than the first preset power threshold but less than the second preset power threshold, and the target change rate is greater than the preset change rate, it is determined that the physical change attribute of the target processing area is a second type of change feature.

15. The method according to claim 12, characterized in that The physical change attribute includes a first type of change feature and a second type of change feature, and the step of adaptively adjusting the processing state of the target workpiece according to the physical parameter includes: If the physical change attribute is a first type of change feature, increasing the feed speed of the tool; If the physical change attribute is a second type of change feature, the feed speed of the tool is reduced.

16. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory is connected to the processor, and the processor is used to execute one or more computer programs stored in the memory. When the processor executes the one or more computer programs, the computer device implements the method according to any one of claims 1 to 15.

17. A numerically controlled machine tool, characterized in that: Comprising the computer device of claim 16.

18. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor is caused to perform the method according to any one of claims 1 to 15.

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