A precision mold machining method with adaptive compensation function

Abstract

This invention relates to the field of CNC machining technology, specifically to a precision mold machining method with adaptive compensation function, comprising the following steps: S1 Pre-machining preparation; S2 Deployment of a dual-modal temperature detection system: installing a wide-area infrared thermal imager on the spindle box of the machine tool, and installing at least one contact temperature sensor near the cutting edge of the tool; S3 Machining start and temperature acquisition synchronously; S4 Deformation state judgment based on temperature field changes: real-time analysis of the local temperature data and wide-area temperature field data to determine that the tool has detached from the thin-walled component, and the thin-walled component has undergone elastic deformation; S5 Adaptive tool path correction; S6 Machining continues. This invention, through dual-modal temperature detection using wide-area infrared thermal imaging and contact temperature sensors, senses in real time the detachment of the tool from the thin-walled component caused by elastic deformation, and drives the tool to vertically retract until the cutting temperature recovers, achieving adaptive compensation machining without the need for pre-calculation of deformation.

Description

Technical Field

[0001] This invention relates to the field of CNC machining technology, and specifically to a precision mold machining method with adaptive compensation function. Background Technology

[0002] In the fields of aerospace, precision instruments, and high-end mold manufacturing, thin-walled components are widely used due to their excellent strength-to-weight ratio. Typical parts include aero-engine blades, casings, integral bladed disks, and various thin-walled mold cores. However, thin-walled components have extremely low rigidity and are prone to elastic deformation under milling forces during machining. Specifically, when the tool cuts along the planned path, the workpiece is forced to undergo instantaneous displacement outward or inward; after cutting, the elastic deformation recovers, resulting in a significant deviation between the actual machined contour and the ideal contour.

[0003] To compensate for this error, various methods have been proposed by industry and academia, the most representative of which is the mirror compensation method. This method predicts the deformation through finite element simulation or experiments, and then reverses the tool path to obtain the ideal contour after machining. However, for thin-walled parts with low stiffness, the increased cutting force may directly push the workpiece away, producing a "tool deflection" phenomenon, preventing the tool from cutting to the expected position. This means that during the machining of thin-walled parts, once instantaneous separation caused by tool deflection occurs, the CNC system cannot detect it in time and reclose the control loop, resulting in continuous accumulation of machining errors. Existing temperature monitoring technologies mostly focus on analyzing the impact of cutting heat on tool life or workpiece surface quality, or are used for overheat protection. Therefore, a precision mold machining method with adaptive compensation function is proposed, which uses the change in friction temperature of the contact surface between the tool and the workpiece as an auxiliary verification signal to indirectly determine contact separation and trigger path correction. Summary of the Invention

[0004] To address the aforementioned issues, this invention provides a precision mold machining method with adaptive compensation function. By using dual-modal temperature detection of wide-area infrared thermal imaging and contact temperature sensors, the method can detect in real time the separation between the tool and thin-walled parts caused by elastic deformation, and drive the tool to vertically retract until the cutting temperature recovers, thus achieving adaptive compensation machining without the need for pre-calculation of deformation.

[0005] To achieve the above objectives, the technical solution of the present invention is as follows: A precision mold processing method with adaptive compensation function, comprising the following steps: S1 Pre-machining preparation: Establish a three-dimensional digital model of the thin-walled part to be machined, plan the initial tooling path based on the three-dimensional digital model, and set the machining process parameters; S2 Dual-Mode Temperature Detection System Deployment: Install a wide-area infrared thermal imager on the spindle box of the machine tool so that the field of view of the wide-area infrared thermal imager covers the entire processing area; install at least one contact temperature sensor near the cutting edge of the tool, with the detection end of the contact temperature sensor no more than 2mm away from the cutting edge of the tool. S3 machining start-up and temperature synchronous acquisition: Start the machine tool and make the tool mill the thin-walled parts along the initial tool machining path; During the machining process, the wide-area infrared thermal imager continuously acquires the wide-area temperature field data of the machining area at the first acquisition frequency, and the contact temperature sensor continuously acquires the local temperature data of the contact area between the tool and the thin-walled parts at the second acquisition frequency, which is higher than the first acquisition frequency. S4 Deformation state judgment based on temperature field changes: Real-time analysis of the local temperature data and wide-area temperature field data; when the following two conditions are detected simultaneously, it is determined that the tool has detached from the thin-walled component, and the thin-walled component has undergone elastic deformation: Condition 1: The local temperature in the contact area drops by more than the first temperature threshold within a preset time. Condition 2: The temperature field at the corresponding contact point acquired by the wide-area infrared thermal imager exhibits discontinuous characteristics. S5 Adaptive Toolpath Correction: When it is determined that the tool has disengaged from the thin-walled part, the tool's feed motion along the initial path is paused, and the tool is controlled to move towards the thin-walled part at a preset low feed speed in a direction perpendicular to the current cutting surface. During the movement, the output signal of the contact temperature sensor is monitored in real time. When the local temperature in the contact area begins to rise due to re-contact, the tool's approaching movement is stopped. S6 Machining Continue: Starting from the current tool position, a smooth transition correction machining path is generated, and the tool is controlled to continue milling along the correction machining path until the machining of the entire part is completed.

[0006] Furthermore, in S2, the field of view of the wide-area infrared thermal imager is 30°-60°, and the contact temperature sensor is a K-type thermocouple or a platinum resistance thermistor.

[0007] Furthermore, in S3, the first acquisition frequency is 10-50Hz, and the second acquisition frequency is 100-1000Hz; the wide-area infrared thermal imager and the contact temperature sensor acquire data synchronously using the same clock signal.

[0008] Furthermore, in S4, the preset time is 10-50ms, and the first temperature threshold is 5-15℃; The discontinuous temperature field is characterized by a temperature gradient exceeding 20℃ / mm within a region of no more than 5mm in diameter around the contact point.

[0009] Furthermore, S4 also includes: establishing a temperature reference database under normal cutting conditions, which contains the normal cutting temperature range corresponding to different cutting parameters and different materials; during the machining process, the real-time collected temperature data is compared with the temperature reference database to improve the accuracy of deformation state judgment.

[0010] Furthermore, in S5, the preset low-speed feed rate is 0.1-1 mm / min.

[0011] Furthermore, S5 also includes: if the local temperature of the contact area does not change within three consecutive acquisition cycles during the process of the tool moving towards the thin-walled part, the feed rate of the tool is increased to 0.5-2 mm / min; when the local temperature of the contact area begins to rise, the feed rate is immediately restored to the preset low feed rate.

[0012] Furthermore, in S6, the corrected path for a smooth transition is generated using a cubic spline interpolation algorithm: with the corrected starting point P0 and the ending point P selected from the original path... n Using the endpoints as constraints and automatically inserted intermediate value points as constraints, construct a cubic spline curve that satisfies the continuity of position, first derivative, and second derivative; and the angle between the corrected path and the initial path does not exceed 15° to avoid sudden changes in cutting force.

[0013] Furthermore, S6 also includes: during the machining process along the modified machining path, continuously monitoring the temperature field changes; if the tool is detected to have detached from the thin-walled part again, repeat steps S5 and S6 until the tool can stably machine along the cutting surface.

[0014] Furthermore, in S5, after each machining feature is completed, the temperature reference database is dynamically updated, and the average temperature data of the stable cutting stage under that machining feature is added to the database for temperature comparison in subsequent machining processes.

[0015] The above approach has the following beneficial effects: 1. This solution utilizes dual-mode temperature detection through wide-area infrared thermal imaging and contact temperature sensors. It uses the heat generated by cutting friction as a direct indication signal of the contact state. When it detects that the tool has separated from the workpiece due to elastic deformation, it drives the tool to vertically retract until the temperature recovers. This achieves adaptive compensation machining of elastic deformation of thin-walled parts without pre-calculating the deformation amount or relying on the cutting force model. It avoids the technical problems of the traditional mirror compensation method, such as the sudden increase in cutting force, tool deflection, and aggravation of nonlinear deformation caused by the prediction of deformation amount.

[0016] 2. This solution adopts a dual-mode temperature detection mechanism that complements high and low frequencies. It utilizes the high response speed of the contact temperature sensor to accurately capture the temperature change when the tool and the part are separated and re-contacted. At the same time, it verifies the temperature discontinuity characteristics at the contact point by using global temperature field data from a wide-area infrared thermal imager. This effectively eliminates misjudgments caused by interference factors such as ambient temperature fluctuations or coolant splashing, and significantly improves the reliability and accuracy of deformation state judgment.

[0017] 3. This scheme optimizes the process parameters and path generation algorithm of the compensation process, adopts low-speed feed while keeping the main cutting speed constant, and combines the smooth transition correction path generated by cubic spline interpolation to ensure the stable change of cutting force during the compensation process and avoid secondary impact on thin-walled parts. At the same time, by dynamically updating the temperature reference database, the CNC system can adapt to the temperature characteristics under different machining stages, different materials and different cutting parameters during actual machining, further enhancing the versatility and robustness of the method. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the method steps in an embodiment of the precision mold processing method with adaptive compensation function of the present invention. Detailed Implementation

[0019] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. 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.

[0020] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0021] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0022] The following detailed description illustrates the specific implementation method: Example

[0023] As attached Figure 1 As shown: A precision mold processing method with adaptive compensation function includes the following steps: S1 Pre-machining preparation: Establish a three-dimensional digital model of the thin-walled part to be machined, plan the initial tooling path based on the three-dimensional digital model, and set the machining process parameters; S2 Dual-Mode Temperature Detection System Deployment: A wide-area infrared thermal imager is installed on the spindle box of the machine tool. The field of view of the wide-area infrared thermal imager is 30°-60°, so that the field of view of the wide-area infrared thermal imager covers the entire processing area; at least one contact temperature sensor is installed near the cutting edge of the tool. The contact temperature sensor is a K-type thermocouple or a platinum resistance thermistor. The distance between the detection end of the contact temperature sensor and the cutting edge of the tool does not exceed 2mm. S3 Machining Start-up and Temperature Synchronization Acquisition: The machine tool is started, and the tool mills the thin-walled part along the initial tool machining path. During machining, a wide-area infrared thermal imager continuously acquires wide-area temperature field data of the machining area at a first acquisition frequency of 10-50Hz. A contact temperature sensor continuously acquires local temperature data of the contact area between the tool and the thin-walled part at a second acquisition frequency of 100-1000Hz, which is higher than the first acquisition frequency. The wide-area infrared thermal imager and the contact temperature sensor acquire data synchronously using the same clock signal. S4 Deformation state judgment based on temperature field changes: Real-time analysis of the local temperature data and wide-area temperature field data; when the following two conditions are detected simultaneously, it is determined that the tool has detached from the thin-walled component, and the thin-walled component has undergone elastic deformation: Condition 1: The local temperature of the contact area drops more than the first temperature threshold within a preset time period, where the preset time period is 10-50ms and the first temperature threshold period is 5-15℃. Condition 2: The temperature field at the corresponding contact point acquired by the wide-area infrared thermal imager exhibits discontinuous characteristics. Specifically, the temperature gradient exceeds 20℃ / mm within a 5mm diameter area around the contact point. By establishing a temperature reference database under normal cutting conditions, which includes the normal cutting temperature range for different cutting parameters and materials, the temperature data collected in real time during the machining process is compared with the temperature reference database to improve the accuracy of deformation state judgment. S5 Adaptive Toolpath Correction: When it is determined that the tool has disengaged from the thin-walled part, the tool's feed motion along the initial path is paused, and the tool is controlled to move towards the thin-walled part at a preset low feed speed of 0.1-1 mm / min in a direction perpendicular to the current cutting surface. During the movement, the output signal of the contact temperature sensor is monitored in real time. When the local temperature in the contact area begins to rise due to re-contact, the tool's approach movement is stopped. If the local temperature in the contact area does not change within 3 consecutive sampling cycles during the tool's movement towards the thin-walled part, the tool's feed speed is increased to 0.5-2 mm / min. When the local temperature in the contact area begins to rise, the feed speed is immediately restored to the preset low feed speed. S6 Machining Continues: Starting from the current tool position, a smooth transition correction path is generated. The smooth transition correction path is generated using a cubic spline interpolation algorithm: starting from the correction start point P0 and the end point P selected from the original path. n Using the endpoints and automatically inserted intermediate value points as constraints, construct a cubic spline curve that satisfies the continuity of position, first derivative, and second derivative; and the angle between the corrected path and the initial path does not exceed 15° to avoid sudden changes in cutting force. Control the tool to continue milling along the corrected machining path until the entire part is machined; during the machining process along the corrected machining path, continuously monitor the temperature field changes. If the tool is detected to detach from the thin-walled part again, repeat steps S5 and S6 until the tool can stably machine along the cutting surface.

[0024] In S5, after each machining feature is completed, the temperature reference database is dynamically updated, and the average temperature data of the stable cutting stage under that machining feature is added to the database for temperature comparison in subsequent machining processes.

[0025] This embodiment takes the milling of a typical thin-walled aluminum alloy structural part on a five-axis CNC machining center as an example. The specific implementation process is as follows: The operator imports the CAD model of the thin-walled part to be machined into Siemens NX software, which includes CAD and CAM, and completes the blank definition and machining coordinate system setting. For thin-walled aluminum alloy structural parts, it is necessary to mark the thickness variation areas and weak points so as to preset reasonable process parameters in the subsequent path planning. Based on the three-dimensional digital model, the CAM software generates the initial tool machining path: select the cutting strategy, set the tool parameters, define the cutting layer depth, and set the tool entry and exit points. The CAM software generates a discrete sequence of tool entry points based on the surface of the three-dimensional digital model.

[0026] Secure a bracket to the spindle housing of the machine tool and firmly mount the wide-area infrared thermal imager onto the bracket. After installation, adjust the field of view: adjust the infrared lens's field of view to 30°-60° to ensure unobstructed coverage of the entire machining area. During actual installation, ensure the lens optical axis maintains an appropriate angle with the vertical plane of the machining area to avoid obstruction by the spindle sleeve or other components. Directly fix the K-type thermocouple into the pre-made groove on the tool holder, securing it with the clamping force generated by the locking screw, to measure the temperature at the interface between the cutting tool and the tool holder in real time.

[0027] Start the CNC machine tool and temperature acquisition system, and synchronize the infrared thermal imager and thermocouple acquisition system using the same clock signal. After the system is powered on, perform a communication test to confirm that the first channel of the infrared thermal imager and the second channel of the thermocouple data acquisition card are working properly. In this embodiment, the first acquisition frequency of the infrared thermal imager is 25Hz, and the second acquisition frequency of the contact temperature sensor is 500Hz.

[0028] The operator starts the machining program via the CNC system panel, and the cutting tool mills the thin-walled parts along the initial tool path. During machining, the data acquisition computer receives infrared thermal images from an infrared thermal imager, each frame containing the temperature distribution matrix of the entire machining area. Simultaneously, it receives continuous temperature readings from K-type thermocouples at high speed via a data acquisition card. All timestamped raw data is preprocessed to remove noise and abnormal fluctuations, and then stored in the computer memory as a real-time data stream or backed up on the hard drive.

[0029] Before formal machining begins, a temperature reference database under normal cutting conditions is pre-established. The specific construction method includes: for each combination of workpiece material and tool type, calibration tests are conducted under stable cutting conditions, and the normal cutting temperature range is recorded; the database fields include material grade, tool type and specifications, spindle speed, feed rate, depth of cut, normal cutting temperature range, and confidence interval; as subsequent machining experience accumulates, the average temperature data from the stable cutting stage is dynamically added to the database, enabling self-updating. The database application has basic functions such as modification, query, update, and addition, and its interface can connect to CAD / CAM software, facilitating direct access to the corresponding temperature reference data when setting machining parameters.

[0030] During milling, the system monitors the local temperature data of the contact area collected by the K-type thermocouple in real time. The system compares the current temperature with the normal cutting temperature range corresponding to the working condition in the temperature reference database. When the tool and workpiece are in normal contact during cutting, heat is generated due to cutting friction, and the temperature of the contact area remains stable. When the thin-walled part undergoes elastic deformation due to cutting force, the contact state between the tool and workpiece changes, cutting friction decreases, and the temperature of the contact area drops. If the local temperature of the contact area drops by more than 5-15°C within a preset time of 10-50ms (e.g., more than 7°C within 10ms), then condition one is met. These time and temperature thresholds are set based on the typical time constant of elastic deformation recovery of thin-walled parts, effectively distinguishing between transient signal noise and actual tool disengagement events.

[0031] The system simultaneously analyzes wide-area temperature field data acquired by an infrared thermal imager. Infrared thermal imaging technology can non-contactly measure the surface temperature distribution of a machining area and has been used to study the temperature distribution on cutting tools and workpieces. Under normal cutting conditions, the temperature field in the contact area between the tool and the workpiece exhibits a continuous distribution, with heat smoothly decaying around the contact point. When the tool detaches from the workpiece, the contact point loses its heat source, causing a sudden drop in local temperature and resulting in a discontinuity in the temperature field. Within a region with a diameter not exceeding 5 mm around the corresponding contact point, the rate of temperature change between adjacent pixels is calculated. If the temperature gradient in this region exceeds 20℃ / mm, it is determined that the temperature field exhibits a discontinuous characteristic, and condition two is satisfied. This threshold was determined through statistical analysis of the temperature field distribution under different types of materials and different cutting parameters: under normal cutting conditions, due to the smoothing effect of heat conduction, the temperature gradient around the contact point usually does not exceed 10~15℃ / mm; however, when the tool detaches, the sudden drop in temperature caused by the disappearance of the heat source causes the gradient value to rise sharply to over 20℃ / mm. Only when both conditions one and two are satisfied simultaneously is it determined that the tool has detached from the thin-walled component, and the thin-walled component has undergone elastic deformation. The dual-modal joint judgment mechanism effectively avoids misjudgments that may occur with single-type sensors: relying solely on thermocouples may lead to misjudging a temperature drop caused by chip blockage or coolant erosion as a separation; relying solely on infrared thermal imaging may also result in misjudgments when local heat dissipation conditions change in thin-walled parts. Separation judgment is only made when both are triggered simultaneously, significantly improving the reliability of the judgment.

[0032] When S4 determines that the tool has disengaged from the thin-walled component, the system immediately sends a command to the CNC system to pause the tool's feed motion along the initial path. At this time, a tiny gap exists between the tool cutting edge and the surface of the thin-walled component, the size of which is equivalent to the elastic deformation recovery of the thin-walled component. The system controls the tool to move towards the thin-walled component at a low feed rate of 0.1~1 mm / min in a direction perpendicular to the current cutting surface. This extremely low speed is 1 / 20 to 1 / 500 of the cutting feed rate in the prior art, ensuring that no impact is generated when the tool approaches the workpiece, avoiding secondary bounce of the thin-walled component due to a sudden increase in instantaneous cutting force. During the vertical return movement of the tool, the system continuously monitors the output signal of the contact temperature sensor at a second acquisition frequency. When the tool tip gradually approaches the workpiece surface, the two have not yet made actual contact, and the heat source has not yet been rebuilt, so the temperature reading remains at a low temperature. Once the tool cutting edge contacts the surface of the thin-walled component, friction restarts, heat is generated again, and the temperature sensor reading will begin to rise from the low temperature value back to the normal cutting temperature range. When the temperature is detected to start to rise, that is, when the current temperature value is higher than the temperature value of the previous cycle for two consecutive sampling cycles, and the rise exceeds 0.5℃ / sampling cycle, an instruction is immediately sent to the CNC system to stop the tool's approach movement.

[0033] Another alternative implementation is to set a lower limit for the normal cutting temperature range, and stop approaching when the temperature rises back to this lower limit. At this point, the tool and the workpiece establish a stable initial contact, without over-pressure or separation.

[0034] During the tool's movement towards the thin-walled component, if the local temperature in the contact area remains unchanged for three consecutive sampling cycles (i.e., the temperature remains at the low level after separation without a significant upward trend), it indicates that the tool is still in the uncontacted area, and the deformed part of the thin-walled component may have already rebounded to a more rearward position. The system automatically increases the tool feed rate to 0.5~2 mm / min to shorten the compensation time and improve machining efficiency. Once a temperature rise is detected, the system immediately restores the feed rate to the preset low-speed range of 0.1~1 mm / min to ensure smooth subsequent contact.

[0035] After generating a corrected machining path through cubic spline interpolation, the system controls the tool to continue milling along the corrected path. During machining along the corrected path, changes in the temperature field are continuously monitored. If the tool is detected to have detached from the thin-walled part again during machining, the feed is paused again → vertical retraction → a new corrected path is generated → machining continues until the tool can stably machine along the cutting surface. This cyclic compensation mechanism ensures comprehensive adaptive compensation under conditions of multiple rebounds from a single elastic deformation or complex deformation.

[0036] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A precision mold machining method with adaptive compensation function, characterized in that, Includes the following steps: S1 Pre-machining preparation: Establish a three-dimensional digital model of the thin-walled part to be machined, plan the initial tooling path based on the three-dimensional digital model, and set the machining process parameters; S2 Dual-Mode Temperature Detection System Deployment: Install a wide-area infrared thermal imager on the spindle box of the machine tool so that the field of view of the wide-area infrared thermal imager covers the entire processing area; install at least one contact temperature sensor near the cutting edge of the tool, with the detection end of the contact temperature sensor no more than 2mm away from the cutting edge of the tool. S3 machining start-up and temperature synchronous acquisition: Start the machine tool and make the tool mill the thin-walled parts along the initial tool machining path; During the processing, the wide-area infrared thermal imager continuously collects wide-area temperature field data of the processing area at a first acquisition frequency, and the contact temperature sensor continuously collects local temperature data of the contact area between the tool and the thin-walled part at a second acquisition frequency, with the second acquisition frequency being higher than the first acquisition frequency. S4 Deformation state judgment based on temperature field changes: Real-time analysis of the local temperature data and wide-area temperature field data; when the following two conditions are detected simultaneously, it is determined that the tool has detached from the thin-walled component, and the thin-walled component has undergone elastic deformation: Condition 1: The local temperature in the contact area drops by more than the first temperature threshold within a preset time. Condition 2: The temperature field at the corresponding contact point acquired by the wide-area infrared thermal imager exhibits discontinuous characteristics. S5 Adaptive Toolpath Correction: When it is determined that the tool has disengaged from the thin-walled part, the tool's feed motion along the initial path is paused, and the tool is controlled to move towards the thin-walled part at a preset low feed speed in a direction perpendicular to the current cutting surface. During the movement, the output signal of the contact temperature sensor is monitored in real time. When the local temperature in the contact area begins to rise due to re-contact, the tool's approaching movement is stopped. S6 Machining Continue: Starting from the current tool position, a smooth transition correction machining path is generated, and the tool is controlled to continue milling along the correction machining path until the machining of the entire part is completed.

2. The precision mold processing method with adaptive compensation function according to claim 1, characterized in that, In S2, the field of view of the wide-area infrared thermal imager is 30°-60°, and the contact temperature sensor is a K-type thermocouple or a platinum resistance thermistor.

3. The precision mold processing method with adaptive compensation function according to claim 2, characterized in that, In S3, the first acquisition frequency is 10-50Hz, and the second acquisition frequency is 100-1000Hz; the wide-area infrared thermal imager and the contact temperature sensor acquire data synchronously through the same clock signal.

4. The precision mold processing method with adaptive compensation function according to claim 3, characterized in that, In S4, the preset time is 10-50ms, and the first temperature threshold is 5-15℃; The discontinuous temperature field is characterized by a temperature gradient exceeding 20℃ / mm within a region of no more than 5mm in diameter around the contact point.

5. The precision mold processing method with adaptive compensation function according to claim 4, characterized in that, S4 also includes: establishing a temperature reference database under normal cutting conditions, which contains the normal cutting temperature range corresponding to different cutting parameters and different materials; during the machining process, the real-time collected temperature data is compared with the temperature reference database to improve the accuracy of deformation state judgment.

6. The precision mold processing method with adaptive compensation function according to claim 5, characterized in that, In S5, the preset low-speed feed rate is 0.1-1 mm / min.

7. The precision mold processing method with adaptive compensation function according to claim 6, characterized in that, S5 also includes: if the local temperature of the contact area does not change within three consecutive acquisition cycles during the process of the tool moving towards the thin-walled part, the feed rate of the tool is increased to 0.5-2 mm / min; when the local temperature of the contact area begins to rise, the feed rate is immediately restored to the preset low feed rate.

8. The precision mold processing method with adaptive compensation function according to claim 7, characterized in that, In S6, the corrected path for a smooth transition is generated using a cubic spline interpolation algorithm: with the corrected starting point P0 and the ending point P selected from the original path... n Using the endpoints as constraints and automatically inserted intermediate value points as constraints, construct a cubic spline curve that satisfies the continuity of position, first derivative, and second derivative; and the angle between the corrected path and the initial path does not exceed 15° to avoid sudden changes in cutting force.

9. The precision mold processing method with adaptive compensation function according to claim 8, characterized in that, S6 also includes: during the machining process along the modified machining path, continuously monitor the temperature field changes; if the tool is detected to have detached from the thin-walled part again, repeat steps S5 and S6 until the tool can stably machine along the cutting surface.

10. The precision mold processing method with adaptive compensation function according to claim 9, characterized in that, In S5, after each machining feature is completed, the temperature reference database is dynamically updated, and the average temperature data of the stable cutting stage under that machining feature is added to the database for temperature comparison in subsequent machining processes.

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