An intelligent cutting control system for machine tools used in die cutting

Abstract

This application relates to the field of mold processing technology, and specifically relates to an intelligent cutting control system for a machine tool used for mold cutting. The system includes: a cutting data acquisition module that obtains a cutting vibration sequence; a cutting data analysis module that evenly divides the cutting vibration sequence; based on the differences between adjacent elements in each cutting vibration subsequence and in combination with the degree of dispersion of the elements, obtains the vibration cutting mobility; determines the periodic vibration interference degree; obtains the tool processing oscillation degree of each cutting vibration subsequence; fits the tool processing oscillation degrees of all cutting vibration subsequences to determine the adjustment coefficient of the cutting force; and a cutting intelligent control module that controls the cutting force of the machine tool tool based on the adjustment coefficient. The purpose of this application is to improve the quality of mold cutting.

Description

Technical Field

[0001] This application relates to the technical field of mold processing, and particularly to an intelligent cutting control system for a machine tool used for mold cutting. Background Art

[0002] Mold cutting is a process of processing materials into specific shapes through molds. It uses the cutting edges or tools of the molds to stamp or cut the materials according to the preset shapes and sizes. This process has many advantages: First, it can achieve high-precision processing, ensuring the dimensional consistency and accuracy of products; Second, mold cutting is suitable for mass production, which can significantly improve production efficiency and reduce unit costs; In addition, it can also process complex shapes and contours to meet the diverse product design requirements. In industrial manufacturing, mold cutting is widely used in industries such as automotive, electronics, and packaging, and is one of the important processing means indispensable to modern manufacturing.

[0003] In the process of forming and processing plates, traditional technologies usually use a Model Reference Adaptive Control (MRAC) to control the cutting force of the tool to achieve precise processing of the mold and ensure the processing quality of the mold. However, in actual applications, due to the existence of thermal effects, the temperature at the cutting position of the plate will rise, resulting in a decrease in the hardness and brittleness of the plate, so that the tool is prone to vibration during the cutting process. And the traditional adaptive controller cannot accurately control the cutting force of the tool according to the specific vibration characteristics during the cutting process, which will cause burrs and distorted cutting shapes in mold cutting, leading to poor mold cutting quality. Summary of the Invention

[0004] In view of the above, it is necessary to provide an intelligent cutting control system for a machine tool used for mold cutting to solve the above problems.

[0005] An embodiment of this application provides an intelligent cutting control system for a machine tool used for mold cutting, and the system includes:

[0006] A cutting data acquisition module, which is used to acquire the vibration data during the cutting process of the machine tool and form a cutting vibration sequence;

[0007] The cutting data analysis module is used to evenly divide the cutting vibration sequence to obtain cutting vibration subsequences; according to the differences between adjacent elements in each cutting vibration subsequence and combined with the dispersion degree of the elements, obtain the vibration cutting mobility of each cutting vibration subsequence; analyze the differences between the extreme points of each cutting vibration subsequence to determine the periodic vibration interference degree of each cutting vibration subsequence; based on the differences between each cutting vibration subsequence and the distribution of the periodic vibration interference degrees of all cutting vibration subsequences, obtain the tool processing oscillation degree of each cutting vibration subsequence; fit the tool processing oscillation degrees of all cutting vibration subsequences and combine the overall distribution of the tool processing oscillation degrees to determine the adjustment coefficient of the cutting force;

[0008] The cutting intelligent control module is used to adjust the current cutting force based on the adjustment coefficient and control the cutting force of the machine tool tool in combination with the adaptive control algorithm.

[0009] Among them, the specific steps of obtaining the vibration cutting mobility of each cutting vibration subsequence include:

[0010] Obtain the mean value of the differences between adjacent elements of each cutting vibration subsequence, and perform positive fusion with the dispersion degree of the cutting vibration subsequence to obtain the vibration cutting mobility of each cutting vibration subsequence.

[0011] Among them, the dispersion degree is determined by the standard deviation.

[0012] Among them, the vibration cutting mobility is specifically the product of the mean value of the differences and the dispersion degree.

[0013] Among them, the specific process of determining the periodic vibration interference degree of each cutting vibration subsequence is:

[0014] Extract the maximum value and the minimum value in the cutting vibration subsequence, record the difference between each extreme point and the minimum value as the first difference; record the difference between the maximum value and each extreme point as the second difference; obtain the minimum difference between the first difference and the second difference of each extreme point, and determine the periodic vibration interference degree of each cutting vibration subsequence through the minimum differences of all extreme points in each cutting vibration subsequence.

[0015] Among them, the periodic vibration interference degree is specifically the sum of the minimum differences of all extreme points in each cutting vibration subsequence.

[0016] Among them, the specific method of obtaining the tool processing oscillation degree of each cutting vibration subsequence is:

[0017] Obtain the average value of the periodic vibration interference degree of all cutting vibrator sequences; obtain the absolute value of the difference between the periodic interference degree of each cutting vibrator sequence and the average value of the periodic vibration interference degree, calculate the ratio of the absolute value of the difference to the average value of the periodic vibration interference degree, and perform positive fusion with the vibration cutting mobility of each cutting vibrator sequence to obtain the tool machining oscillation degree of each cutting vibrator sequence.

[0018] Among them, the tool machining oscillation degree is specifically the product of the ratio of each cutting vibrator sequence and the vibration cutting mobility.

[0019] Among them, the specific formula for determining the adjustment coefficient of the cutting force is: ; In the formula, represents the adjustment coefficient of the machine tool cutting force; represents the slope of the fitting line of all tool machining oscillation degrees; represents the average value of all tool machining oscillation degrees; b represents the preset maximum adjustment ratio; represents the normalization function.

[0020] Among them, the adjustment of the current cutting force is specifically:

[0021] Obtain the multiplication result of the adjustment coefficient of the machine tool cutting force and the current cutting force of the machine tool, and use the difference between the current cutting force of the machine tool and the multiplication result as the cutting force after the machine tool is adjusted.

[0022] This application has at least the following beneficial effects:

[0023] In the embodiment of this application, by collecting vibration data during the cutting process of the machine tool, calculating the vibration cutting mobility and the periodic vibration interference degree, it comprehensively reflects the movement situation and stability of the tool during vibration; further calculating the tool machining oscillation degree and adjusting the cutting force can effectively reduce the machining error caused by vibration, thereby improving the dimensional accuracy and shape accuracy of the mold, and meeting the manufacturing requirements of high-precision and complex-shaped products.

[0024] Furthermore, the system can also monitor the tool running state in real time, automatically adjust the cutting force through an adaptive control algorithm, ensure that the machine tool runs in the best state, avoid tool damage and mold scrapping, reduce downtime and maintenance costs, improve the utilization rate and production efficiency of the machine tool, and shorten the production cycle.

[0025] In addition, monitoring the tool vibration and reasonably adjusting the cutting force can reduce vibration and impact during the machining process, extend the service life of the tool, reduce the tool wear rate, and at the same time avoid the additional load on the machine tool transmission system and spindle system caused by improper cutting force, improve the stability and reliability of the machine tool, reduce equipment failures, and ensure the continuity and stability of production. Brief Description of the Drawings

[0026] Figure 1 A block diagram of an intelligent cutting control system for a machine tool used for mold cutting provided by this application;

[0027] Figure 2 A specific flowchart of the machine tool cutting control provided by this application. Specific embodiments

[0028] In the description of the embodiments of this application, words such as "exemplary", "or", "for example", etc. are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, using words such as "exemplary", "or", "for example", etc. aims to present relevant concepts in a specific manner.

[0029] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs. The terms used in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0030] In addition, it should be noted that the terms "first", "second" in this application and its drawings are used to distinguish similar objects and are not used to describe a specific order or sequence. For the methods disclosed in the embodiments of this application or shown in the flowcharts, including one or more steps for implementing the methods, without departing from the scope of protection of this application, the execution orders of multiple steps can be interchanged with each other, and some steps can also be deleted.

[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs.

[0032] Next, a specific solution of an intelligent cutting control system for a machine tool used for mold cutting provided by this application will be specifically described with reference to the drawings.

[0033] Please refer to Figure 1 , which shows a block diagram of an intelligent cutting control system for a machine tool used for mold cutting provided by an embodiment of this application. The system includes: a cutting data acquisition module, a cutting data analysis module, and a cutting intelligent control module.

[0034] An embodiment of this application first proposes an intelligent cutting control system for a machine tool used for mold cutting, which is applied to the technical field of mold processing. The system includes:

[0035] Cutting data acquisition module: Composes the vibration data within a preset time length into a cutting vibration sequence.

[0036] Vibration data of the tool during cutting is collected by a vibration sensor. The collection time length is 2 s and the collection frequency is 100 Hz. During the machining process of the machine tool, vibration and electromagnetic interference may occur, making it possible for the data collected by the sensor to have noise and missing values. Here, mean filtering and mean filling methods are used to filter the data and complete the missing data. The processed data is arranged in the order of the collection time to obtain the cutting vibration sequence. Among them, the calculations of mean filtering and mean filling methods are well-known technologies, and the specific calculation processes are not elaborated here.

[0037] Cutting data analysis module: Uniformly divide the cutting vibration sequence to obtain cutting vibration subsequences; According to the differences between adjacent elements in each cutting vibration subsequence and combining with the dispersion degree of the elements, obtain the vibration cutting mobility of each cutting vibration subsequence; Analyze the differences between the extreme points of each cutting vibration subsequence to determine the periodic vibration interference degree of each cutting vibration subsequence; Based on the differences between the periodic vibration interference degree distributions of each cutting vibration subsequence and all cutting vibration subsequences, obtain the tool machining oscillation degree of each cutting vibration subsequence; Fit the tool machining oscillation degrees of all cutting vibration subsequences and combine with the overall distribution of the tool machining oscillation degree to determine the adjustment coefficient of the cutting force.

[0038] During the process of the machine tool machining the mold, the tool rotates at a high speed and contacts the mold surface, and cuts the mold through the action of the cutting force. The friction between the tool and the mold surface will generate heat and chips. The heat will cause the temperature of the plate to rise, resulting in a decrease in the hardness and brittleness of the plate. At the same time, the uneven distribution of high temperature and cutting force may cause vibration, resulting in the movement of the tool. The greater the vibration amplitude, the more likely the plate is affected by temperature.

[0039] Based on the above analysis, the cutting vibration sequence is evenly divided into M sequences. M takes the value of 10 in this embodiment, and the implementer can adaptively take values according to specific situations. The sequence after cutting is denoted as the cutting vibration subsequence. Thus, calculate the vibration cutting mobility of each cutting vibration subsequence: Obtain the mean value of the differences between adjacent elements of each cutting vibration subsequence, and perform positive fusion with the dispersion degree of the cutting vibration subsequence to obtain the vibration cutting mobility of each cutting vibration subsequence. In this embodiment, the difference between elements is calculated by the absolute value of the difference; the dispersion degree between sequence elements is calculated by the extreme value method; positive fusion of multiple variables is calculated by multiplication. As other implementation manners, the dispersion degree between sequence elements can also be obtained by using variance and standard deviation.

[0040] It should be understood that when machining a mold on a machine tool, by calculating the vibration cutting mobility, the movement of the cutting tool during vibration can be accurately reflected. The vibration cutting mobility represents the movement amplitude of the cutting tool during vibration based on the differences between adjacent elements, and at the same time quantifies the severity of vibration through the maximum amplitude of movement within a short period. This method can effectively capture the vibration changes of the cutting tool at the microscopic level, accurately control the vibration of the cutting tool, and provide a good data basis for the control during the machine tool machining process.

[0041] During the machine tool machining process, since the cutting tool cuts the mold plate, during the cutting process, collisions will occur between the cutting tool and the mold plate. The collisions will cause the mold plate to vibrate. When the vibration shows periodic vibration, it indicates that the cutting tool is cutting the mold plate stably, and the cutting effect in this state is better. At the same time, the smaller the amplitude of the periodic vibration, the better the stability of the cutting tool during cutting, and the higher the cutting accuracy of the produced mold. Thus, the cutting vibration subsequence is used as the output of the extreme point detection algorithm, and the output is the extreme points. Then, the periodic vibration interference degree of the cutting tool in the cutting vibration subsequence is calculated through the extreme points: the maximum value and the minimum value in the cutting vibration subsequence are extracted, and the difference between each extreme point and the minimum value is recorded as the first difference; the difference between the maximum value and each extreme point is recorded as the second difference; the minimum difference between the first difference and the second difference of each extreme point is obtained, and the minimum differences of all extreme points in each cutting vibration subsequence are accumulated to obtain the periodic vibration interference degree of each cutting vibration subsequence.

[0042] It should be understood that when machining a mold on a machine tool, by calculating the periodic vibration interference degree, the stability of the cutting tool during periodic vibration can be accurately reflected. The periodic vibration interference degree represents the deviation degree of the cutting tool during periodic vibration based on the differences between extreme points, and at the same time quantifies the stability of vibration through the minimum amplitude of deviation within a short time. It can accurately monitor the vibration state of the cutting tool during the machining process, provide a strong basis for the stability analysis of the machining process, and thus provide strong support for optimizing machining parameters, improving machining quality and efficiency.

[0043] During the machining process of a machine tool, when the temperature between the cutting tool and the die plate is relatively stable, the periodic vibration interference of the cutting tool at different time intervals should be the same or similar. This is because stable temperature means less thermal influence during the cutting process, and the dynamic characteristics between the cutting tool and the workpiece are relatively consistent. Therefore, the state of the cutting tool during cutting can be evaluated through the periodic vibration interference: if the periodic vibration interference remains at a low and stable level, it indicates that the cutting process of the cutting tool is relatively stable, and the credibility of the vibration cutting mobility of the cutting tool is relatively high. Thus, calculate the machining oscillation degree of the cutting tool during the corresponding time period of the cutting vibration subsequence: obtain the average value of the periodic vibration interference of all cutting vibration subsequences; obtain the absolute value of the difference between the periodic interference of each cutting vibration subsequence and the average value of the periodic vibration interference, calculate the ratio of the absolute value of the difference to the average value of the periodic vibration interference, and perform positive fusion with the vibration cutting mobility of each cutting vibration subsequence to obtain the machining oscillation degree of the cutting tool for each cutting vibration subsequence. In this embodiment, positive fusion of multiple variables adopts a multiplication calculation method. It should be noted that in the process of calculating the ratio, to avoid the denominator being 0, a parameter greater than zero needs to be added to the denominator, and the value in this embodiment is 0.001.

[0044] It should be understood that the machining oscillation degree of the cutting tool is a comprehensive evaluation based on the periodic vibration interference and the vibration cutting mobility. By quantifying the overall deviation degree and dynamic changes of the cutting tool during vibration, it measures the stability of the cutting process. It can accurately monitor the vibration state of the cutting tool during the machining process, enabling precise adjustment of the cutting force of the cutting tool.

[0045] Regarding the machining oscillation degree of the cutting tool, when the value of the machining oscillation degree of the cutting tool continuously weakens as time goes on, it indicates that the cutting tool is gradually approaching the end of cutting, the cutting depth is gradually decreasing, and the contact area between the cutting tool and the die plate is gradually decreasing. At this time, the cutting force during the cutting of the machine tool cutting tool does not need to be changed. On the contrary, the cutting force needs to be reduced to ensure that the machine tool cutting tool can stably cut the die plate and avoid burrs, increased roughness, and distortion of the die shape after cutting.

[0046] Therefore, arrange the machining oscillation degrees of the cutting vibration subsequences in the order of the corresponding time periods of the cutting vibration subsequences to obtain the machining oscillation sequence. Then use the machining oscillation sequence as the input of the linear fitting algorithm to obtain the slope of the fitted line. In this embodiment, the linear fitting algorithm uses the least squares method, which is a well-known technology, and the specific calculation steps are not elaborated here.

[0047] Based on the above indicators, calculate the adjustment coefficient of the cutting force: ; where represents the adjustment coefficient of the machine tool cutting force; represents the slope of the fitting line of the oscillation degree of all tool machining; represents the mean value of the oscillation degree of all tool machining; b represents the maximum value adjustment ratio, and its value range is [0, 1]. In this embodiment, the value is 0.5; represents the normalization function. In this example, the normalization formula is , where represents the exponential function with the natural constant as the base.

[0048] It should be understood that the machine tool cutting force adjustment coefficient represents the dynamic change of the oscillation force received by the tool during cutting based on the change trend of the tool machining oscillation degree. The larger the adjustment coefficient of the machine tool cutting force, the greater the collision force between the tool and the die plate, and the worse the cutting state. It is necessary to adjust the cutting force of the machine tool tool to reduce the vibration of the tool and improve the control effect of the machine tool on the cutting force of the tool to ensure product quality.

[0049] Cutting intelligent control module: Based on the adjustment coefficient, adjust the current cutting force, and combine with the adaptive control algorithm to control the cutting force of the machine tool tool.

[0050] For the cutting force, when the cutting force is relatively stable, it means that the cutting force can effectively cut the die plate. Therefore, there is no need to adjust the cutting force. When the cutting force is unstable, it means that the tool vibrates, and it is necessary to reduce the cutting force to keep the tool in a stable running state. The greater the cutting force after adaptive adjustment, the greater the cutting force exerted by the machine tool tool on the die plate. This usually means that the tool needs to overcome greater material resistance during cutting to ensure effective cutting of the material. Based on this, the cutting force of the machine tool is adjusted: obtain the multiplication result of the adjustment coefficient of the machine tool cutting force and the current cutting force of the machine tool, and use the difference between the current cutting force of the machine tool and the multiplication result as the cutting force of the machine tool after adjustment.

[0051] It should be noted that for the initial cutting force, it can be calculated according to the coefficients related to the material and the tool , feed rate , cutting depth , cutting speed . The calculation formula is .

[0052] In order to achieve intelligent control cutting of machine tools and more precise control of the cutting force of the tool, the adaptively adjusted cutting force value obtained through precise calculation of the above steps is used as the input signal of the adaptive controller. The adaptive controller calculates the parameters of the controller by virtue of the advanced adaptive control algorithm embedded in it. The adaptive controller calculates and outputs a new control signal through the controller parameters to drive the cutting force of the tool, so as to achieve precise regulation of the cutting force of the machine tool. This process can not only ensure that the cutting force is always maintained at an ideal level, effectively reduce the errors and tool wear during the machining process, but also significantly improve the machining efficiency and the machining accuracy of the mold, and achieve precise and intelligent cutting of the mold. The calculation of the adaptive control algorithm is a well-known technology, and the specific calculation steps are not described in detail here.

[0053] Among them, the specific flow chart of the machine tool cutting control is as Figure 2 shown.

[0054] To sum up, in the embodiment of the present application, by collecting the vibration data during the cutting process of the machine tool, calculating the vibration cutting mobility and the periodic vibration interference degree, the movement situation and stability of the tool during the vibration process are comprehensively reflected; further calculating the tool machining oscillation degree and adjusting the cutting force, the machining errors caused by vibration are effectively reduced, thereby improving the dimensional accuracy and shape accuracy of the mold, and meeting the manufacturing requirements of high-precision and complex-shaped products.

[0055] Furthermore, the system can also monitor the running state of the tool in real time, automatically adjust the cutting force through the adaptive control algorithm, ensure that the machine tool runs in the best state, avoid tool damage and mold scrapping, reduce the downtime and maintenance costs, improve the utilization rate and production efficiency of the machine tool, and shorten the production cycle.

[0056] In addition, monitoring the tool vibration and reasonably adjusting the cutting force can reduce the vibration and impact during the machining process, extend the service life of the tool, reduce the tool wear rate, and at the same time avoid the additional load on the machine tool transmission system and spindle system caused by improper cutting force, improve the stability and reliability of the machine tool, reduce equipment failures, and ensure the continuity and stability of production.

[0057] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a part of code that contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions noted in the blocks may occur in a different order than that noted in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, or they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than that disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, or they may sometimes be executed in reverse order, depending on the functions involved. Each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0058] The above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the various embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An intelligent cutting control system for a machine tool used in mold cutting, characterized in that, The system includes: A cutting data acquisition module, which is used to acquire the vibration data during the cutting process of the machine tool and form a cutting vibration sequence; A cutting data analysis module, which is used to evenly divide the cutting vibration sequence to obtain cutting vibration subsequences; obtain the average difference between adjacent elements of each cutting vibration subsequence, and perform positive fusion with the dispersion degree of the cutting vibration subsequence to obtain the vibration cutting mobility of each cutting vibration subsequence; analyze the difference between the extreme points of each cutting vibration subsequence to determine the periodic vibration interference degree of each cutting vibration subsequence; obtain the average value of the periodic vibration interference degrees of all cutting vibration subsequences; obtain the absolute value of the difference between the periodic interference degree of each cutting vibration subsequence and the average value of the periodic vibration interference degrees, calculate the ratio of the absolute value of the difference to the average value of the periodic vibration interference degrees, and perform positive fusion with the vibration cutting mobility of each cutting vibration subsequence to obtain the tool machining oscillation degree of each cutting vibration subsequence; fit the tool machining oscillation degrees of all cutting vibration subsequences, and combine the overall distribution of the tool machining oscillation degrees to determine the adjustment coefficient of the cutting force; A cutting intelligent control module, which is used to adjust the current cutting force based on the adjustment coefficient and control the cutting force of the machine tool tool in combination with an adaptive control algorithm.

2. The intelligent cutting control system for a machine tool used for mold cutting according to claim 1, wherein, The dispersion degree is determined by the standard deviation.

3. The intelligent cutting control system for a machine tool used for mold cutting according to claim 1, characterized in that Specifically, the vibration cutting mobility is the product of the average difference and the dispersion degree.

4. The intelligent cutting control system for a machine tool used for die cutting according to claim 1, characterized in that, The specific process of determining the periodic vibration interference degree of each cutting vibration subsequence is as follows: Extract the maximum value and the minimum value in the cutting vibration subsequence, and record the difference between each extreme point and the minimum value as the first difference; record the difference between the maximum value and each extreme point as the second difference; Obtain the minimum difference between the first difference and the second difference of each extreme point, and determine the periodic vibration interference degree of each cutting vibration subsequence through the minimum differences of all extreme points in each cutting vibration subsequence.

5. The intelligent cutting control system for a machine tool used for die cutting according to claim 4, characterized in that, Specifically, the periodic vibration interference degree is the sum of the minimum differences of all extreme points in each cutting vibration subsequence.

6. The intelligent cutting control system for a machine tool used for die cutting according to claim 1, wherein, Specifically, the tool machining oscillation degree is the product of the ratio of each cutting vibration subsequence and the vibration cutting mobility.

7. The intelligent cutting control system for a machine tool used for die cutting according to claim 1, wherein, The specific formula for determining the adjustment coefficient of the cutting force is as follows: ; In the formula, represents the adjustment coefficient of the cutting force of the machine tool; represents the slope of the fitting straight line of the machining oscillation degree of all cutting tools; represents the average value of the machining oscillation degree of all cutting tools; b represents the preset maximum adjustment ratio; represents the normalization function.

8. The intelligent cutting control system for a machine tool used for mold cutting according to claim 1, wherein, The adjustment of the current cutting force is specifically as follows: Obtain the multiplication result of the adjustment coefficient of the machine tool cutting force and the current cutting force of the machine tool, and use the difference between the current cutting force of the machine tool and the multiplication result as the cutting force after the machine tool is adjusted.

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