Vibration suppression optimization method and system for high-rigidity gantry machine tool spindle

Abstract

The invention discloses a vibration suppression optimization method and system for a spindle of a high-rigidity gantry machine tool, and relates to the technical field of data processing.The method comprises the steps that structural optimization preprocessing is conducted on the spindle of the gantry machine tool according to a spindle optimization mechanism, and a target spindle is obtained; a distributed temperature detector is activated to carry out dynamic continuous temperature monitoring on the target main shaft, and real-time temperature information is obtained; and when the real-time temperature information reaches the preset intervention constraint, a circulating oil cooler is started to carry out emergency cooling treatment on the target main shaft, an axial deformation correction decision is synchronously generated, a real-time axial compensation amount is obtained through calculation, and vibration suppression is carried out on the target main shaft. The technical problems that in the prior art, due to axial deformation and vibration caused by temperature rise in the high-speed cutting process of a spindle, the machining precision is reduced, and a machine tool is unstable are solved, and the technical effects that deformation caused by temperature is effectively reduced, spindle vibration is restrained, and therefore the machining precision and stability of the machine tool are improved are achieved.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, specifically to a method and system for optimizing vibration suppression of a high-rigidity gantry milling machine spindle. Background Technology

[0002] With the development of machining technology, gantry milling machines, due to their high rigidity and high precision, are widely used in the machining of large workpieces. The spindle, as the core component of the machine tool, bears the heavy responsibility of transmitting torque and driving the cutting tool for machining. However, under high-speed cutting and high-load working conditions, the spindle is easily affected by factors such as temperature changes and vibration, leading to spindle deformation and decreased machining accuracy. Increased temperature usually causes thermal expansion of the spindle, resulting in axial deformation, further exacerbating vibration and instability. Traditional spindle vibration suppression methods typically rely on increasing spindle rigidity or using vibration-damping materials, but these methods cannot respond to temperature changes and dynamic vibrations in real time, and cannot fundamentally solve the problem of axial deformation caused by temperature changes. Summary of the Invention

[0003] This application provides a vibration suppression optimization method and system for high-rigidity gantry milling machine spindles, which is used to solve the technical problems in the prior art where axial deformation and vibration of the spindle caused by temperature rise during high-speed cutting lead to decreased machining accuracy and machine tool instability.

[0004] The first aspect of this application provides a vibration suppression optimization method for a high-rigidity gantry milling machine spindle. The method includes: performing structural optimization preprocessing on the gantry milling machine spindle according to a spindle optimization mechanism to obtain a target spindle; activating a distributed temperature sensor to perform dynamic and continuous temperature monitoring on the target spindle to obtain real-time temperature information; when the real-time temperature information reaches a predetermined intervention constraint, starting a circulating oil cooler to perform emergency cooling treatment on the target spindle, and simultaneously generating an axial deformation correction decision; and suppressing vibration of the target spindle based on the real-time axial compensation amount calculated based on the axial deformation correction decision.

[0005] A second aspect of this application provides a vibration suppression optimization system for a high-rigidity gantry milling machine spindle. The system includes: a structural optimization preprocessing module for performing structural optimization preprocessing on the gantry milling machine spindle according to a spindle optimization mechanism to obtain a target spindle; a dynamic temperature monitoring module for activating distributed temperature sensors to perform dynamic continuous temperature monitoring of the target spindle and obtain real-time temperature information; an emergency cooling processing module for activating a circulating oil cooler to perform emergency cooling processing on the target spindle when the real-time temperature information reaches a predetermined intervention constraint, and simultaneously generating an axial deformation correction decision; and a vibration suppression module for suppressing vibration in the target spindle based on the real-time axial compensation amount calculated based on the axial deformation correction decision.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: The vibration suppression optimization method and system for high-rigidity gantry milling machine spindles provided in this application pertain to the field of data processing technology. It enhances spindle rigidity through structural optimization preprocessing, utilizes distributed temperature sensors to monitor temperature in real time and combines this with a cooling system for emergency handling, calculates compensation based on axial deformation correction decisions to suppress vibration, and introduces an electromagnetic active vibration damper to actively dampen the tool holder, achieving precise suppression of spindle vibration. This solves the technical problem in existing technologies where axial deformation and vibration of the spindle caused by temperature rise during high-speed cutting leads to decreased machining accuracy and machine tool instability. It achieves the technical effect of effectively reducing temperature-induced deformation and suppressing spindle vibration through real-time temperature monitoring, emergency cooling, and axial compensation, thereby improving the machining accuracy and stability of the machine tool. Attached Figure Description

[0007] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0008] Figure 1 This is a schematic flowchart of a vibration suppression optimization method for a high-rigidity gantry milling machine spindle provided in an embodiment of this application. Figure 2 A schematic diagram of the vibration suppression optimization system for a high-rigidity gantry milling machine spindle provided in this application embodiment.

[0009] Explanation of reference numerals in the attached drawings: 11. Structural optimization pretreatment module; 12. Dynamic temperature monitoring module; 13. Emergency cooling treatment module; 14. Vibration suppression module. Detailed Implementation

[0010] This application provides a vibration suppression optimization method and system for high-rigidity gantry milling machine spindles, which is used to solve the technical problems in the prior art where axial deformation and vibration of the spindle caused by temperature rise during high-speed cutting lead to decreased machining accuracy and machine tool instability.

[0011] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0012] It should be noted that the terms "first," "second," etc., in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices.

[0013] Example 1, as Figure 1 As shown, this application provides a vibration suppression optimization method for a high-rigidity gantry milling machine spindle, the method comprising: P10: The spindle of the gantry milling machine is pre-processed for structural optimization according to the spindle optimization mechanism to obtain the target spindle. The spindle optimization mechanism includes a torque transmission strategy, an oil groove lubrication strategy, and a vibration elimination strategy; wherein, the torque transmission strategy refers to using a predetermined carbon coupling to perform an interference fit connection between the spindle and the transition shaft of the gantry milling machine, and the predetermined carbon coupling adopts a high torsional rigidity carbon fiber sheet structure with an axial stiffness greater than or equal to 3.12 × 10⁻⁶. 5 N / mm, radial stiffness greater than or equal to 1.88×10 6 N / mm, transmitting torque greater than or equal to 1700 N·m; wherein, the oil groove lubrication strategy refers to applying plastic coating to the guide rail of the external sliding ram structure of the spindle, and the thickness of the fluororesin soft strip of the plastic-coated guide rail is greater than or equal to 0.5 mm, and a lubricating oil groove is provided, and the friction coefficient of the plastic-coated surface of the guide rail is less than or equal to 0.05; wherein, the vibration elimination strategy refers to applying screw counterweight treatment to the predetermined double-end screw holes of the spindle.

[0014] It should be understood that the spindle of the gantry milling machine is first improved through structural optimization pretreatment to enhance its rigidity, stability, and vibration suppression capabilities, thereby improving the overall performance of the machine tool. Spindle optimization mechanisms include torque transmission strategies, oil groove lubrication strategies, and vibration elimination strategies. To ensure the effective implementation of these strategies, precise machining and modification of the spindle are required.

[0015] First, the torque transmission strategy is a crucial component of the spindle optimization mechanism. This strategy employs a pre-selected carbon coupling to provide an interference fit between the spindle and the transition shaft of the gantry milling machine. This connection ensures a tight fit between the spindle and the transition shaft, thereby achieving efficient and stable torque transmission. The pre-selected carbon coupling utilizes a high-torsional-rigidity carbon fiber sheet structure, which offers significant advantages. Its axial stiffness is greater than or equal to 3.12 × 10⁻⁶.5 N / mm, radial stiffness greater than or equal to 1.88×10 6 N / mm, which means that the coupling can maintain a stable connection under large axial and radial forces, reducing deformation or vibration caused by insufficient rigidity. At the same time, its transmitted torque is greater than or equal to 1700 N·m, which can meet the high torque transmission requirements of high-rigidity gantry milling machines during machining, ensuring stable operation of the spindle under high load conditions.

[0016] The oil groove lubrication strategy primarily involves applying a plastic coating to the guide rails of the spindle's external slide ram structure to reduce friction and wear. Specifically, a fluoropolymer soft strip with a thickness of ≥0.5 mm is used to coat the guide rails. The fluoropolymer soft strip possesses excellent wear resistance and self-lubricating properties, effectively reducing the coefficient of friction of the guide rails during movement. Lubricating oil grooves are then incorporated into the guide rails to further optimize lubrication. Through this design, the coefficient of friction of the plastic-coated surface of the guide rails can be controlled to be ≤0.05. A low coefficient of friction means smoother spindle movement during machining, reducing heat generation and energy loss caused by friction, thereby lowering the risk of thermal deformation of the spindle and improving machining accuracy and surface quality.

[0017] To effectively eliminate vibration and jitter caused by spindle rotation, a jitter reduction strategy is required. This strategy involves applying screw weights to the predetermined double-end screw holes of the spindle. During actual machining, the spindle may experience jitter due to various factors, which negatively impacts machining accuracy. Screw weights adjust the spindle's center of gravity, making it more stable during operation and effectively eliminating jitter. This method significantly improves the spindle's dynamic performance, ensuring stable operation during high-precision machining and further enhancing machining quality.

[0018] These strategies work together to optimize the spindle in multiple aspects, such as torque transmission, lubrication performance, and dynamic stability, giving it higher rigidity, lower friction coefficient, and better operational stability, thus better meeting the needs of high-rigidity gantry milling machines in high-precision machining.

[0019] P20: Activate the distributed temperature sensors to dynamically and continuously monitor the temperature of the target spindle and obtain real-time temperature information. The distributed temperature sensors are deployed at predetermined points on the target spindle, and these predetermined points include at least the outer ring of the front bearing, the middle of the spindle housing, and the motor connection point.

[0020] Specifically, to achieve precise vibration suppression optimization of the target spindle, it is first necessary to activate distributed temperature sensors to dynamically and continuously monitor the spindle temperature to obtain real-time temperature information. This allows for real-time tracking of temperature changes during spindle operation, providing a basis for subsequent temperature management and vibration suppression. Furthermore, to ensure the accuracy and comprehensiveness of the temperature data, distributed temperature sensors are deployed at several key locations on the target spindle, including the outer race of the front bearing, the middle of the spindle housing, and the motor connection points.

[0021] The outer ring of the front bearing bears significant loads and temperature variations during spindle operation. Therefore, installing a temperature sensor here allows for real-time monitoring of bearing temperature changes, enabling timely detection of potential overheating and preventing bearing damage or operational instability caused by excessive heat. Secondly, the central part of the spindle box is a core component and typically a region of concentrated heat. Installing distributed temperature sensors here provides real-time data on the internal temperature distribution of the spindle box, offering crucial information for overall temperature monitoring. Excessive temperature within the spindle box can lead to spindle deformation and poor lubrication, affecting machining accuracy and machine tool stability. Finally, the motor connection point is critical, connecting the spindle to the drive system. During machining, heat from the motor is transferred to the spindle through this connection, causing temperature increases in this area. Therefore, monitoring the temperature at this point helps assess heat transfer between the motor and spindle. Monitoring the temperature at the motor connection point can prevent power output instability or damage caused by motor overheating.

[0022] By deploying distributed temperature sensors at these critical locations, comprehensive temperature monitoring of the target spindle can be achieved, ensuring real-time feedback of temperature information and providing data support for subsequent cooling control, vibration suppression, and overall spindle performance optimization.

[0023] P30: When the real-time temperature information reaches the predetermined intervention constraint, the circulating oil cooler is activated to perform emergency cooling treatment on the target spindle, and an axial deformation correction decision is generated simultaneously.

[0024] Furthermore, the real-time temperature information includes the temperature value at the predetermined point. When the real-time temperature information reaches the predetermined intervention constraint, the circulating oil cooler is activated to perform emergency cooling treatment on the target spindle. Step P30 in this embodiment further includes: P31: Extract any temperature value corresponding to any point in the real-time temperature information; P32: Determine whether the arbitrary temperature value reaches any predetermined threshold of any point in the predetermined intervention constraint; P33: If it does, it proves that the real-time temperature information has reached the predetermined intervention constraint, and start the circulating oil cooler to perform emergency cooling treatment on the target spindle; wherein, the cooling oil in the circulating oil cooler performs emergency cooling treatment on the target spindle with predetermined cooling parameters, and the predetermined cooling parameters include a flow rate greater than or equal to 10L / min and an oil pressure of 3MPa.

[0025] Optionally, for the temperature monitoring and control process of the gantry milling machine spindle, distributed temperature sensors are used to monitor the temperature of various predetermined points on the spindle in real time, i.e., key parts, and dynamic temperature control is performed based on this temperature information. When the monitored temperature reaches the predetermined intervention constraint, the system will activate the emergency cooling program to ensure that the spindle can operate stably at high temperatures and avoid mechanical damage or performance degradation caused by overheating.

[0026] First, extract the temperature values ​​from any point in the real-time temperature information. These points include key areas such as the outer ring of the front bearing, the middle of the spindle box, and the motor connection, which are areas with significant temperature variations. Extracting the real-time temperature values ​​from these points helps to comprehensively understand the temperature status of the spindle in different parts, ensuring the comprehensiveness and accuracy of the monitoring data.

[0027] Then, the extracted arbitrary temperature value is compared with the predetermined threshold for that point in the predetermined intervention constraints. The predetermined intervention constraints are temperature thresholds pre-set based on the spindle's material properties, machining requirements, and safe operating standards, used to determine whether the spindle is within a safe temperature range. These thresholds determine whether the current temperature has reached a critical value, i.e., whether it exceeds the safe operating temperature range. If the temperature at any point exceeds its predetermined threshold, the system considers the spindle temperature to have reached the standard requiring cooling activation.

[0028] In other words, if the temperature reaches a predetermined threshold, it can be confirmed that the real-time temperature information has met the predetermined intervention constraints, and the system will immediately activate the circulating oil cooler to perform emergency cooling of the spindle. At this time, the system will start the circulating cooling process of the cooling oil according to the predetermined cooling parameters. Specifically, the flow rate of the cooling oil in the circulating oil cooler needs to be greater than or equal to 10L / min to ensure that sufficient cooling oil flow can quickly remove excess heat from the spindle in a short time. At the same time, the oil pressure of the cooling oil is set to 3MPa to ensure that the cooling oil can flow over the spindle surface at a high pressure, ensuring full contact between the oil and the spindle surface, quickly removing heat from the spindle surface and reducing its temperature.

[0029] The cooling process is not only about lowering the temperature, but more importantly, it prevents the spindle from deforming or malfunctioning due to overheating. Through the efficient cooling of a circulating oil cooler, the spindle temperature can be controlled within a safe range, avoiding problems such as decreased accuracy, bearing damage, or overall spindle instability caused by excessive temperature, thus ensuring the stability of the machine tool and machining accuracy.

[0030] Simultaneously, axial deformation correction decisions are generated. The spindle may undergo thermal expansion at high temperatures, leading to axial deformation. If this deformation is not corrected, it may affect the spindle's working accuracy and the overall machining quality of the machine tool. To address this issue, it is necessary to calculate the potential axial deformation of the spindle based on real-time temperature information and temperature change trends, combined with the spindle's structural characteristics. Based on this deformation, corresponding axial deformation correction decisions are generated. Specific aspects of these decisions may include fine-tuning the spindle's feed position, changing machining parameters, or adjusting the spindle's support structure to compensate for axial deformation caused by temperature changes, thereby reducing spindle vibration and ensuring the stability and accuracy of the machining process.

[0031] By combining cooling and axial deformation correction, the spindle temperature can be effectively reduced to prevent deformation caused by overheating, and the axial deformation of the spindle can be compensated in a timely manner, thereby maximizing the machining accuracy and stability of the machine tool.

[0032] P40: Vibration suppression is performed on the target spindle based on the real-time axial compensation amount calculated according to the axial deformation correction decision.

[0033] Furthermore, based on the real-time axial compensation amount calculated according to the axial deformation correction decision, step P40 in this embodiment of the application further includes: P41: Obtain the real-time ambient temperature of the target spindle; P42: Sequentially traverse the real-time temperature information to obtain the first temperature value of the outer ring of the front bearing, the second temperature value of the middle part of the spindle box, and the third temperature value of the motor connection; P43: Calculate the first temperature difference between the first temperature value and the real-time ambient temperature, the second temperature difference between the second temperature value and the real-time ambient temperature, and the third temperature difference between the third temperature value and the real-time ambient temperature; P44: Use a predetermined compensation coefficient to perform a weighted calculation on the first temperature difference, the second temperature difference, and the third temperature difference to obtain the real-time axial compensation amount.

[0034] Optionally, vibration suppression can be applied to the target spindle based on the real-time axial compensation amount calculated using the axial deformation correction decision, so as to ensure the maximum accuracy and stability of the spindle during operation.

[0035] First, when the real-time temperature information shows that the temperature value at any predetermined point on the target spindle reaches or exceeds the predetermined intervention constraint, the real-time ambient temperature of the target spindle is acquired. Changes in ambient temperature directly affect the working state of the spindle; therefore, accurately measuring and acquiring the current ambient temperature is an important prerequisite for ensuring the effectiveness of subsequent compensation and vibration suppression.

[0036] Next, the system sequentially iterates through the real-time temperature information to obtain the first temperature value of the outer ring of the front bearing, the second temperature value of the middle part of the spindle box, and the third temperature value of the motor connection. These temperature values ​​reflect the actual temperature state of the spindle in key areas and are important data for assessing the thermal deformation of the spindle.

[0037] Next, the first temperature difference between the first temperature value and the real-time ambient temperature, the second temperature difference between the second temperature value and the real-time ambient temperature, and the third temperature difference between the third temperature value and the real-time ambient temperature are calculated respectively. These temperature difference values ​​reflect the degree of thermal change of each key part of the spindle relative to the ambient temperature and are important bases for calculating the axial compensation. Through these temperature difference values, the system can more accurately assess the thermal deformation of the spindle.

[0038] Finally, the predetermined compensation coefficients are retrieved, and a weighted calculation is performed on the first, second, and third temperature differences to obtain the real-time axial compensation amount. The predetermined compensation coefficients are set in advance based on the spindle's material properties, structural design, and machining requirements to ensure the scientific validity and effectiveness of the compensation amount. Through weighted calculation, the real-time axial compensation amount is obtained, which will be used for precise vibration suppression adjustment of the target spindle.

[0039] Based on the real-time axial compensation calculated above, vibration suppression is achieved on the target spindle, including adjusting the spindle feed position, changing machining parameters, or adjusting the spindle support structure. These adjustments effectively compensate for axial deformation caused by temperature changes, reduce spindle vibration, and ensure the stability and accuracy of the machining process.

[0040] Furthermore, to suppress vibration of the target spindle, step P40 in this embodiment of the application also includes: P45: Activate the electromagnetic active vibration damper and actively dampen the tool holder of the target spindle through the electromagnetic active vibration damper, wherein the electromagnetic active vibration damper includes a displacement sensor group and a PD controller; P46: Dynamically monitor the vibration signal of the tool holder through the displacement sensor group; P47: Convert and process the vibration signal through the PD controller to obtain the electromagnetic damping force, wherein the electromagnetic damping force is used to actively dampen the vibration of the tool holder.

[0041] Specifically, measures to suppress vibration of the target spindle can be further expanded by activating an electromagnetic active vibration damper and using it to actively dampen the tool holder of the spindle, thereby further improving the vibration suppression effect.

[0042] Specifically, the electromagnetic active vibration damper is first activated. This damper controls the vibration of the spindle tool holder by adjusting the electromagnetic force. The electromagnetic active vibration damper consists of a displacement sensor group and a PD controller, and has high-precision vibration suppression capabilities. The displacement sensor group is responsible for monitoring the vibration state of the tool holder, while the PD controller performs real-time calculations and adjustments based on the signals fed back from the sensors, thereby generating an electromagnetic damping force opposite to the vibration to actively suppress it.

[0043] A displacement sensor array is installed on the tool holder of the target spindle to monitor its vibration in real time and dynamically during machining. These sensors can capture minute displacement changes in the tool holder with high precision and frequency, generating detailed vibration signals. These signals contain displacement data of the tool holder in different directions, reflecting its vibration state caused by various factors (such as cutting forces and thermal deformation) during machining. Monitoring by the displacement sensor array allows for real-time acquisition of the tool holder's vibration characteristics, providing accurate input data for subsequent active vibration suppression.

[0044] After acquiring the vibration signal of the toolholder, these signals are transmitted to the PD controller. The PD controller, based on a preset control algorithm and considering the vibration frequency and amplitude characteristics of the toolholder, calculates the required magnitude and direction of the electromagnetic damping force. This process is performed in real time, ensuring that the electromagnetic damping force can promptly counteract the toolholder's vibration. The introduction of the PD controller enables the system to quickly respond to changes in toolholder vibration, applying the electromagnetic damping force to the toolholder to reduce its vibration amplitude, further lowering the vibration level of the spindle system and improving the stability and accuracy of the machining process.

[0045] By combining dynamic monitoring by the displacement sensor group and precise processing by the PD controller, the system can monitor the vibration state of the tool holder in real time and quickly generate corresponding electromagnetic damping force, thereby effectively suppressing the vibration of the tool holder.

[0046] Furthermore, after suppressing vibration of the target spindle based on the real-time axial compensation amount calculated according to the axial deformation correction decision, step P40 of this embodiment further includes: P48: Real-time cutting parameters are obtained based on dynamic monitoring of predetermined cutting indices; P49: The real-time cutting parameters are compared with the predetermined cutting parameters to obtain a real-time cutting deviation index; P410: If the real-time cutting deviation index reaches a predetermined deviation limit, a cutting optimization signal is issued, and the real-time cutting parameters are dynamically adjusted based on the cutting optimization signal; wherein, the predetermined cutting indices include cutting speed, feed per tooth, and axial depth of cut.

[0047] In one possible embodiment of this application, after vibration suppression of the target spindle, the accuracy and stability of the machining process can be further ensured through a series of cutting process monitoring and optimization operations.

[0048] First, real-time cutting parameters are obtained through dynamic monitoring based on predetermined cutting indices, which mainly include cutting speed, feed per tooth, and axial depth of cut. High-precision sensors and monitoring equipment enable the real-time acquisition of the current values ​​of these key cutting parameters, ensuring comprehensive monitoring of the machining process.

[0049] Next, the real-time cutting parameters are compared with the predetermined cutting parameters to obtain the real-time cutting deviation index. The predetermined cutting parameters are optimal parameters set in advance according to the machining process requirements and machine tool performance to ensure the stability and quality of the machining process. By comparing the parameters, the deviation between the current cutting parameters and the predetermined parameters can be quantified, thereby assessing whether the machining process is in an ideal state. If the deviation index is large, it means that there may be unstable factors in the cutting process, affecting the machining quality.

[0050] If the real-time cutting deviation index reaches the predetermined deviation limit, it indicates that the current cutting parameters have deviated from the allowable range, and the system will issue a cutting optimization signal. The predetermined deviation limit is set according to the tolerance range of the machining process and is used to determine whether the cutting parameters have deviated from the allowable range. When the real-time cutting deviation index exceeds the predetermined deviation limit, the system will dynamically adjust the real-time cutting parameters based on the cutting optimization signal, including adjusting the cutting speed, changing the feed per tooth, or optimizing the axial depth of cut, to ensure that the cutting parameters return to the predetermined range, thereby maintaining the stability of the machining process and the machining quality.

[0051] This dynamic monitoring and optimization mechanism enables real-time adjustment of cutting parameters, ensuring that the machining process is always in optimal condition, thereby further improving the stability and accuracy of the machining process.

[0052] Furthermore, step P49 in the embodiments of this application also includes: P49-1: Obtain historical cutting operation records of similar machine tools of the gantry milling machine; P49-2: Obtain a first cutting dataset based on the historical cutting operation records, wherein the first cutting dataset includes a first cutting control parameter and a first cutting effect parameter; P49-3: When the first cutting fitness obtained by analyzing the first cutting effect parameter reaches a predetermined fitness limit, the first cutting control parameter is used as the predetermined cutting parameter; wherein, it includes: performing a variation weighted calculation on the first vibration kurtosis value and the first surface roughness in the first cutting effect parameter to obtain the first cutting fitness.

[0053] Optionally, to further optimize the cutting process, the analysis and application of historical cutting operation records can be increased to further improve the setting of real-time cutting parameters and ensure that the machining process is more accurate and efficient.

[0054] First, historical cutting operation records of similar machine tools used in the gantry milling machine are obtained. These records contain detailed data on past cutting operations of similar machine tools under similar machining conditions, providing a reference for optimizing the cutting parameters of the current machine tool. Based on these historical cutting operation records, a first cutting dataset is generated, which includes first cutting control parameters and first cutting effect parameters. The first cutting control parameters refer to the cutting parameters actually used in historical operations, such as cutting speed, feed per tooth, and axial depth of cut. The first cutting effect parameters refer to the effects of these cutting parameters in actual machining, such as surface finish and vibration levels.

[0055] Next, the first cutting effect parameters are analyzed to determine whether the calculated first cutting adaptability reaches the predetermined adaptability limit. The adaptability limit is a pre-set standard value based on historical data and theoretical analysis, reflecting the stability and quality of the cutting operation. The calculation process of the first cutting adaptability includes a variation-weighted calculation of the first vibration kurtosis value and the first surface roughness among the first cutting effect parameters. The vibration kurtosis value reflects the intensity and variation characteristics of vibration during the cutting process, while surface roughness directly affects the surface quality of the workpiece. Through variation-weighted calculation, the adaptability of the cutting operation can be evaluated based on the degree of variation and importance of these parameters, thus obtaining the first cutting adaptability. If the first cutting adaptability reaches the predetermined adaptability limit, the first cutting control parameter is used as the new predetermined cutting parameter for subsequent real-time cutting parameter comparison and optimization to optimize the current cutting process.

[0056] By following the steps above, we can leverage successful experiences from historical data to optimize real-time cutting parameter settings, ensuring that the cutting process not only meets the predetermined process requirements but also minimizes vibrations and surface quality issues caused by inappropriate cutting conditions, thereby improving machining accuracy and efficiency.

[0057] In summary, the embodiments of this application have at least the following technical effects: This application improves spindle stability by using real-time temperature monitoring and emergency cooling to prevent thermal expansion and axial deformation caused by overheating. Dynamic axial compensation and vibration suppression technology effectively suppress spindle vibration, reducing its impact on machining accuracy and ensuring high stability during the machining process. Real-time adjustment and optimization of spindle operating conditions improve machining accuracy and surface quality. Reducing thermal deformation and vibration caused by temperature mitigates wear on the spindle and other critical components, extending machine tool lifespan. Combined with automatic adjustment of temperature monitoring, cooling system, and compensation decisions, intelligent optimization of the machine tool machining process is achieved, improving overall machining efficiency and quality.

[0058] The technology achieves the effect of effectively reducing temperature-induced deformation and suppressing spindle vibration through real-time temperature monitoring, emergency cooling, and axial compensation, thereby improving the machining accuracy and stability of the machine tool.

[0059] Example 2, based on the same inventive concept as the vibration suppression optimization method for the high-rigidity gantry milling machine spindle in the previous examples, such as... Figure 2 As shown, this application provides a vibration suppression optimization system for a high-rigidity gantry milling machine spindle. The system and method embodiments in this application are based on the same inventive concept. The system includes: The structural optimization preprocessing module 11 is used to perform structural optimization preprocessing on the spindle of the gantry milling machine according to the spindle optimization mechanism to obtain the target spindle.

[0060] The dynamic temperature monitoring module 12 is used to activate the distributed temperature sensor to perform dynamic and continuous temperature monitoring of the target spindle and obtain real-time temperature information.

[0061] The emergency cooling module 13 is used to activate the circulating oil cooler to perform emergency cooling on the target spindle when the real-time temperature information reaches the predetermined intervention constraint, and simultaneously generate an axial deformation correction decision.

[0062] The vibration suppression module 14 is used to suppress the vibration of the target spindle based on the real-time axial compensation amount calculated based on the axial deformation correction decision.

[0063] Furthermore, in the structure optimization preprocessing module 11: The spindle optimization mechanism includes a torque transmission strategy, an oil groove lubrication strategy, and a vibration elimination strategy. The torque transmission strategy refers to using a predetermined carbon coupling to perform an interference fit connection between the spindle and the transition shaft of the gantry milling machine. This predetermined carbon coupling employs a high-torsional-rigidity carbon fiber sheet structure with an axial stiffness greater than or equal to 3.12 × 10⁻⁶. 5N / mm, radial stiffness greater than or equal to 1.88×10 6 N / mm, transmitting torque greater than or equal to 1700 N·m; wherein, the oil groove lubrication strategy refers to applying plastic coating to the guide rail of the external sliding ram structure of the spindle, and the thickness of the fluororesin soft strip of the plastic-coated guide rail is greater than or equal to 0.5 mm, and a lubricating oil groove is provided, and the friction coefficient of the plastic-coated surface of the guide rail is less than or equal to 0.05; wherein, the vibration elimination strategy refers to applying screw counterweight treatment to the predetermined double-end screw holes of the spindle.

[0064] Furthermore, in the dynamic temperature monitoring module 12: The distributed temperature sensor is deployed at predetermined points on the target spindle, and the predetermined points include at least the outer ring of the front bearing, the middle of the spindle box, and the motor connection.

[0065] Furthermore, in the dynamic temperature monitoring module 12: The real-time temperature information includes the temperature value at the predetermined point. When the real-time temperature information reaches the predetermined intervention constraint, the circulating oil cooler is activated to perform emergency cooling treatment on the target spindle, including: Extract any temperature value corresponding to any point in the real-time temperature information; determine whether the arbitrary temperature value reaches any predetermined threshold of any point in the predetermined intervention constraint; if it does, it proves that the real-time temperature information has reached the predetermined intervention constraint, and start the circulating oil cooler to perform emergency cooling treatment on the target spindle; wherein, the cooling oil in the circulating oil cooler performs emergency cooling treatment on the target spindle with predetermined cooling parameters, and the predetermined cooling parameters include a flow rate greater than or equal to 10L / min and an oil pressure of 3MPa.

[0066] Furthermore, the vibration suppression module 14 is also used to perform the following steps: Obtain the real-time ambient temperature of the target spindle; sequentially traverse the real-time temperature information to obtain the first temperature value of the outer ring of the front bearing, the second temperature value of the middle part of the spindle box, and the third temperature value of the motor connection; calculate the first temperature difference between the first temperature value and the real-time ambient temperature, the second temperature difference between the second temperature value and the real-time ambient temperature, and the third temperature difference between the third temperature value and the real-time ambient temperature; retrieve a predetermined compensation coefficient to perform a weighted calculation on the first temperature difference, the second temperature difference, and the third temperature difference to obtain the real-time axial compensation amount.

[0067] Furthermore, the vibration suppression module 14 is also used to perform the following steps: An electromagnetic active vibration damper is activated, and the tool holder of the target spindle is actively damped by the electromagnetic active vibration damper. The electromagnetic active vibration damper includes a displacement sensor group and a PD controller. The vibration signal of the tool holder is dynamically monitored by the displacement sensor group. The vibration signal is converted and processed by the PD controller to obtain an electromagnetic damping force, which is used to actively dampen the vibration of the tool holder.

[0068] Furthermore, in the vibration suppression module 14: The displacement sensor group includes four sets of displacement sensors arranged on the tool holder according to the installation plan, and the installation plan means that the distance between each monitoring point is 90° and the gap between each sensor probe and the surface of the tool holder is less than or equal to 0.1mm.

[0069] Furthermore, the vibration suppression module 14 is also used to perform the following steps: After suppressing vibration of the target spindle based on the real-time axial compensation amount calculated according to the axial deformation correction decision, real-time cutting parameters are obtained by dynamic monitoring based on predetermined cutting indices. The real-time cutting parameters are compared with the predetermined cutting parameters to obtain a real-time cutting deviation index. If the real-time cutting deviation index reaches a predetermined deviation limit, a cutting optimization signal is issued, and the real-time cutting parameters are dynamically adjusted based on the cutting optimization signal. The predetermined cutting indices include cutting speed, feed per tooth, and axial depth of cut.

[0070] Furthermore, the vibration suppression module 14 is also used to perform the following steps: Obtain historical cutting operation records of similar machine tools of the gantry milling machine; obtain a first cutting dataset based on the historical cutting operation records, wherein the first cutting dataset includes a first cutting control parameter and a first cutting effect parameter; when the first cutting fitness obtained by analyzing the first cutting effect parameter reaches a predetermined fitness limit, the first cutting control parameter is used as the predetermined cutting parameter; wherein, the first cutting fitness is obtained by performing a variation weighted calculation on the first vibration kurtosis value and the first surface roughness in the first cutting effect parameter.

[0071] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0072] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0073] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application intends to include such modifications and variations.

Claims

1. A vibration suppression optimization method for a high-rigidity gantry milling machine spindle, characterized in that, include: Based on the spindle optimization mechanism, the spindle of the gantry milling machine is preprocessed for structural optimization to obtain the target spindle; Activate the distributed temperature sensor to dynamically and continuously monitor the temperature of the target spindle and obtain real-time temperature information; When the real-time temperature information reaches the predetermined intervention constraint, the circulating oil cooler is activated to perform emergency cooling treatment on the target spindle, and an axial deformation correction decision is generated simultaneously. Vibration suppression is performed on the target spindle based on the real-time axial compensation amount calculated according to the axial deformation correction decision.

2. The vibration suppression optimization method for high-rigidity gantry milling machine spindles as described in claim 1, characterized in that, The spindle optimization mechanism includes torque transmission strategy, oil groove lubrication strategy, and vibration elimination strategy. The torque transmission strategy refers to using a predetermined carbon coupling to perform an interference fit connection between the main spindle and the transition shaft of the gantry milling machine. The predetermined carbon coupling employs a high-torsional-rigidity carbon fiber sheet structure with an axial stiffness greater than or equal to 3.12 × 10⁻⁶. 5 N / mm, radial stiffness greater than or equal to 1.88×10 6 N / mm, transmitted torque greater than or equal to 1700 N·m; The oil groove lubrication strategy refers to applying plastic coating to the guide rail of the external sliding ram structure of the spindle, wherein the thickness of the fluororesin soft strip of the plastic-coated guide rail is greater than or equal to 0.5 mm, and a lubricating oil groove is provided, and the coefficient of friction of the plastic-coated surface of the guide rail is less than or equal to 0.

05. The vibration elimination strategy refers to applying screw weights to the predetermined double-end screw holes of the spindle.

3. The vibration suppression optimization method for high-rigidity gantry milling machine spindles as described in claim 1, characterized in that, The distributed temperature sensor is deployed at predetermined points on the target spindle, and the predetermined points include at least the outer ring of the front bearing, the middle of the spindle box, and the motor connection.

4. The vibration suppression optimization method for high-rigidity gantry milling machine spindles as described in claim 3, characterized in that, The real-time temperature information includes the temperature value at the predetermined point. When the real-time temperature information reaches the predetermined intervention constraint, the circulating oil cooler is activated to perform emergency cooling treatment on the target spindle, including: Extract any temperature value corresponding to any point in the real-time temperature information; Determine whether the arbitrary temperature value reaches any predetermined threshold of any point in the predetermined intervention constraint; If the condition is met, it proves that the real-time temperature information has reached the predetermined intervention constraint, and the circulating oil cooler is activated to perform emergency cooling treatment on the target spindle. The circulating oil cooler uses cooling oil to perform emergency cooling on the target spindle with predetermined cooling parameters, including a flow rate of 10 L / min or greater and an oil pressure of 3 MPa.

5. The vibration suppression optimization method for a high-rigidity gantry milling machine spindle as described in claim 4, characterized in that, The real-time axial compensation amount calculated based on the axial deformation correction decision includes: Obtain the real-time ambient temperature of the target spindle; The first temperature value of the outer ring of the front bearing, the second temperature value of the middle part of the spindle box, and the third temperature value of the motor connection are obtained by sequentially traversing the real-time temperature information. The first temperature difference between the first temperature value and the real-time ambient temperature, the second temperature difference between the second temperature value and the real-time ambient temperature, and the third temperature difference between the third temperature value and the real-time ambient temperature are calculated respectively. The first temperature difference, the second temperature difference, and the third temperature difference are weighted and calculated using a predetermined compensation coefficient to obtain the real-time axial compensation amount.

6. The vibration suppression optimization method for a high-rigidity gantry milling machine spindle as described in claim 1, characterized in that, It also includes activating an electromagnetic active vibration damper and using the electromagnetic active vibration damper to actively dampen the tool holder of the target spindle, wherein the electromagnetic active vibration damper includes a displacement sensor group and a PD controller. The vibration signal of the tool holder is obtained by dynamic monitoring using the displacement sensor group. The vibration signal is converted and processed by the PD controller to obtain an electromagnetic vibration damping force, which is used to actively dampen the vibration of the tool holder.

7. The vibration suppression optimization method for a high-rigidity gantry milling machine spindle as described in claim 6, characterized in that, The displacement sensor group includes four sets of displacement sensors arranged on the tool holder according to the installation plan, and the installation plan means that the distance between each monitoring point is 90° and the gap between each sensor probe and the surface of the tool holder is less than or equal to 0.1mm.

8. The vibration suppression optimization method for high-rigidity gantry milling machine spindle as described in claim 1, characterized in that, After suppressing vibration of the target spindle based on the real-time axial compensation amount calculated according to the axial deformation correction decision, the method further includes: Real-time cutting parameters are obtained based on dynamic monitoring of predetermined cutting indices; The real-time cutting parameters are compared with the predetermined cutting parameters to obtain the real-time cutting deviation index; If the real-time cutting deviation index reaches the predetermined deviation limit, a cutting optimization signal is issued, and the real-time cutting parameters are dynamically adjusted based on the cutting optimization signal. The predetermined cutting parameters include cutting speed, feed per tooth, and axial depth of cut.

9. The vibration suppression optimization method for a high-rigidity gantry milling machine spindle as described in claim 8, characterized in that, The real-time cutting parameters are compared with the predetermined cutting parameters to obtain the real-time cutting deviation index, including: Obtain historical cutting operation records of similar machine tools used in the same type of gantry milling machine; A first cutting dataset is obtained based on the historical cutting operation records, wherein the first cutting dataset includes a first cutting control parameter and a first cutting effect parameter; When the first cutting adaptability obtained by analyzing the first cutting effect parameters reaches the predetermined adaptability limit, the first cutting control parameters are used as the predetermined cutting parameters. This includes: performing a variation-weighted calculation on the first vibration kurtosis value and the first surface roughness in the first cutting effect parameters to obtain the first cutting adaptability.

10. A vibration suppression optimization system for a high-rigidity gantry milling machine spindle, characterized in that, The system includes: The structural optimization preprocessing module is used to perform structural optimization preprocessing on the spindle of the gantry milling machine according to the spindle optimization mechanism to obtain the target spindle. The dynamic temperature monitoring module is used to activate the distributed temperature sensor to perform dynamic and continuous temperature monitoring of the target spindle and obtain real-time temperature information. An emergency cooling module is used to activate the circulating oil cooler to perform emergency cooling on the target spindle when the real-time temperature information reaches a predetermined intervention constraint, and simultaneously generate an axial deformation correction decision. The vibration suppression module is used to suppress the vibration of the target spindle based on the real-time axial compensation amount calculated based on the axial deformation correction decision.

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