Machine tool intelligent control cutting control system for mold cutting

Abstract

The invention relates to the technical field of mold machining, in particular to a machine tool intelligent control cutting control system for mold cutting, and the system comprises a cutting data acquisition module for acquiring a cutting vibration sequence; the cutting data analysis module is used for uniformly segmenting the cutting vibration sequence; according to the difference between adjacent elements in each cutting vibration subsequence, combining the dispersion degree of the elements to obtain the vibration cutting movement degree; determining a periodic vibration interference degree; the tool machining oscillation degree of each cutting vibration sub-sequence is obtained; fitting the cutter machining oscillations of all the cutting vibration subsequences, and determining an adjusting coefficient of cutting force; and the cutting intelligent control module is used for controlling the cutting force of the machine tool cutter based on the adjusting coefficient. The die cutting device aims at improving the die cutting quality.

Description

Technical Field

[0001] The present application relates to the technical field of mold processing, and in particular to a machine tool intelligent cutting control system for mold cutting. Background Art

[0002] Die cutting is a process that uses a die to process materials into a specific shape. It uses the cutting edge or tool of the die to stamp or cut the material according to the preset shape and size. This process has many advantages: first, it can achieve high-precision processing to ensure product dimensional consistency and accuracy; second, die 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 needs of diverse product designs. In industrial manufacturing, die cutting is widely used in industries such as automobiles, electronics, and packaging, and is one of the important processing methods that are indispensable in modern manufacturing.

[0003] In the process of forming the sheet metal, traditional technology usually uses an adaptive controller (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, the existence of thermal effects will cause the temperature of the sheet metal cutting position to rise, resulting in a decrease in the hardness and brittleness of the sheet metal, which makes the tool prone to vibration during the cutting process. 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 distortion of the cutting shape during the mold cutting, resulting in poor mold cutting quality. Summary of the invention

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

[0005] An embodiment of the present application provides a machine tool intelligent cutting control system for mold cutting, the system comprising: The cutting data acquisition module is used to collect the vibration data of the machine tool cutting process and form a cutting vibration sequence; The cutting data analysis module is used to evenly divide the cutting vibration sequence to obtain cutting vibration subsequences; according to the difference between adjacent elements in each cutting vibration subsequence, combined with the discrete degree of the elements, the vibration cutting mobility of each cutting vibration subsequence is obtained; the difference between the extreme points of each cutting vibration subsequence is analyzed to determine the periodic vibration interference degree of each cutting vibration subsequence; based on the difference between the periodic vibration interference degree distribution of each cutting vibration subsequence and all cutting vibration subsequences, the tool processing oscillation degree of each cutting vibration subsequence is obtained; the tool processing oscillation degrees of all cutting vibration subsequences are fitted, and the adjustment coefficient of the cutting force is determined in combination with the overall distribution of the tool processing oscillation degrees; 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 in combination with the adaptive control algorithm.

[0006] The step of obtaining the vibration cutting mobility of each cutting vibration subsequence specifically comprises: The difference mean between adjacent elements of each cutting vibration subsequence is obtained, and forward fused with the discrete degree of the cutting vibration subsequence to obtain the vibration cutting mobility of each cutting vibration subsequence.

[0007] The degree of dispersion is determined by the standard deviation.

[0008] The vibration cutting mobility is specifically the product of the difference mean and the discrete degree.

[0009] The specific process of determining the periodic vibration interference degree of each cutting vibration subsequence is as follows: Extract the maximum and minimum values ​​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 difference of all extreme points in each cutting vibration subsequence.

[0010] The periodic vibration interference degree is specifically the cumulative sum of the minimum differences of all extreme value points in each cutting vibration subsequence.

[0011] The tool processing oscillation degree of each cutting vibration subsequence is obtained as follows: Obtain the mean periodic vibration interference degree of all cutting vibration subsequences; obtain the absolute value of the difference between the periodic interference degree of each cutting vibration subsequence and the mean periodic vibration interference degree, calculate the ratio of the absolute value of the difference to the mean periodic vibration interference degree, and perform forward fusion with the vibration cutting mobility of each cutting vibration subsequence to obtain the tool processing oscillation degree of each cutting vibration subsequence.

[0012] The tool processing oscillation degree is specifically the product of the ratio of each cutting vibration subsequence and the vibration cutting movement degree.

[0013] The specific formula for determining the adjustment coefficient of the cutting force is: ; In the formula, Indicates the adjustment coefficient of the machine tool cutting force; It represents the slope of the fitted straight line of all tool machining oscillations; represents the mean value of all tool processing oscillations; b represents the preset maximum value adjustment ratio; Represents the normalization function.

[0014] The adjustment of the current cutting force is specifically as follows: The multiplication result of the adjustment coefficient of the cutting force of the machine tool and the current cutting force of the machine tool is obtained, and the difference between the current cutting force of the machine tool and the multiplication result is used as the cutting force after the machine tool is adjusted.

[0015] This application has at least the following beneficial effects: The embodiment of the present application collects vibration data during the machine tool cutting process, calculates the vibration cutting movement and periodic vibration interference, and comprehensively reflects the movement and stability of the tool during the vibration process; further calculates the tool processing oscillation degree, and adjusts the cutting force, effectively reducing the processing error caused by vibration, thereby improving the size accuracy and shape accuracy of the mold, and meeting the manufacturing needs of high-precision and complex-shaped products.

[0016] Furthermore, the system can monitor the tool operation status in real time, automatically adjust the cutting force through adaptive control algorithms, ensure that the machine tool operates in the best condition, avoid tool damage and mold scrapping, reduce downtime and maintenance costs, improve machine tool utilization and production efficiency, and shorten the production cycle.

[0017] In addition, monitoring tool vibration and properly adjusting the cutting force can reduce vibration and impact during processing, extend tool life, reduce tool wear rate, and avoid additional load on the machine tool transmission system and spindle system caused by improper cutting force, improve machine tool stability and reliability, reduce equipment failures, and ensure production continuity and stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A block diagram of a machine tool intelligent cutting control system for mold cutting provided in this application; Figure 2 A specific flow chart of machine tool cutting control provided for this application. DETAILED DESCRIPTION

[0019] In the description of the embodiments of the present application, words such as "exemplary", "or", "for example" and the like are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "or", "for example" and the like is intended to present related concepts in a concrete manner.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the present application. The terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application.

[0021] It should also be noted that the terms "first" and "second" in this application and its drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. The method disclosed in the embodiments of the present application or the method shown in the flow chart includes one or more steps for implementing the method. Without departing from the scope of protection of this application, the execution order of multiple steps can be interchanged with each other, and some steps can also be deleted.

[0022] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0023] The following is a detailed description of a specific solution of a machine tool intelligent cutting control system for mold cutting provided by the present application in conjunction with the accompanying drawings.

[0024] See also Figure 1 , which shows a block diagram of a machine tool intelligent cutting control system for mold cutting provided by an embodiment of the present application. The system includes: a cutting data acquisition module, a cutting data analysis module, and a cutting intelligent control module.

[0025] The present application embodiment first proposes a machine tool intelligent cutting control system for mold cutting, which is applied to the field of mold processing technology. The system includes: Cutting data acquisition module: The vibration data within a preset time length is combined into a cutting vibration sequence.

[0026] The vibration data of the tool during the cutting process is collected by a vibration sensor. The collection time is 2s and the collection frequency is 100Hz. Due to vibration and electromagnetic interference during the machine tool processing, the data collected by the sensor may be noisy and missing. Here, mean filtering and mean filling methods are used to filter the data and fill in the missing data. The processed data is arranged in the order of collection time to obtain the cutting vibration sequence. Among them, the calculation of mean filtering and mean filling method is a well-known technology, and the specific calculation process will not be repeated here.

[0027] Cutting data analysis module: evenly divide the cutting vibration sequence to obtain cutting vibration subsequences; obtain the vibration cutting mobility of each cutting vibration subsequence based on the differences between adjacent elements in each cutting vibration subsequence and the discrete degree of the elements; analyze the differences between the extreme points of each cutting vibration subsequence to determine the periodic vibration interference of each cutting vibration subsequence; obtain the tool processing oscillation of each cutting vibration subsequence based on the difference in the distribution of periodic vibration interference between each cutting vibration subsequence and all cutting vibration subsequences; fit the tool processing oscillation of all cutting vibration subsequences and determine the adjustment coefficient of the cutting force based on the overall distribution of the tool processing oscillation.

[0028] During the process of machining the mold, the tool rotates at high speed and contacts the mold surface, cutting the mold through the action of cutting force. The friction between the tool and the mold surface will generate heat and chips, and the heat will increase the temperature of the sheet, resulting in a decrease in the hardness and brittleness of the sheet. At the same time, high temperature and uneven distribution of cutting force may cause vibration, resulting in the movement of the tool. The larger the vibration amplitude, the more likely the sheet is to be affected by temperature.

[0029] Based on the above analysis, the cutting vibration sequence is divided into M sequences. In this embodiment, M is taken as 10. The implementer can adaptively select the value according to the specific situation, and the cut sequence is recorded as a cutting vibration subsequence. Thus, the vibration cutting mobility of each cutting vibration subsequence is calculated: the mean of the difference between adjacent elements of each cutting vibration subsequence is obtained, and the discrete degree of the cutting vibration subsequence is forward fused 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 discrete degree between sequence elements is calculated by extreme value; and multiple variables are forward fused by multiplication. As other implementation methods, the discrete degree between sequence elements can also be obtained by variance and standard deviation.

[0030] It should be understood that when machining molds with machine tools, the movement of the tool during vibration can be accurately reflected by calculating the vibration cutting mobility. The vibration cutting mobility represents the movement amplitude of the tool during vibration based on the difference between adjacent elements, and quantifies the severity of the vibration by the maximum amplitude of movement in a short period of time. This method can effectively capture the vibration changes of the tool at the micro level, accurately control the vibration of the tool, and provide a good data basis for the control of the machine tool processing process.

[0031] During the machining process, since the tool cuts the mold plate, a collision will occur between the tool and the mold plate during the cutting process, and the collision will cause the mold plate to vibrate. When the vibration is manifested as periodic vibration, it means that the tool is cutting the mold plate stably, and the cutting effect in this state is better. At the same time, when the amplitude of the periodic vibration is smaller, it means that the tool has better stability when cutting, and the cutting accuracy of the produced mold is higher. Therefore, the cutting vibration subsequence is used as the output of the extreme point detection algorithm, and the output is the extreme point. Then, the periodic vibration interference degree of the tool in the cutting vibration subsequence is calculated by the extreme point: 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 difference of all extreme points in each cutting vibration subsequence is accumulated to obtain the periodic vibration interference degree of each cutting vibration subsequence.

[0032] It should be understood that when machining molds on machine tools, the stability of the tool during periodic vibration can be accurately reflected by calculating the periodic vibration interference. The periodic vibration interference is based on the difference between the extreme points to indicate the degree of deviation of the tool during periodic vibration, and at the same time, the stability of the vibration is quantified by the minimum amplitude of deviation in a short time. It can accurately monitor the vibration state of the tool during the machining process, provide a strong basis for the stability analysis of the machining process, and provide strong support for optimizing machining parameters and improving machining quality and efficiency.

[0033] During the machining process of the machine tool, when the temperature between the tool and the mold plate is relatively stable, the periodic vibration interference of the tool in different time periods should be the same or similar. This is because temperature stability means that the thermal impact during the cutting process is small, and the dynamic characteristics between the tool and the workpiece are relatively consistent. Therefore, the state of the tool during cutting can be evaluated by the periodic vibration interference: if the periodic vibration interference is maintained at a low and stable level, it means that the tool cutting process is relatively stable, and the reliability of the vibration cutting mobility of the tool is high. Therefore, the tool processing oscillation of the tool in the corresponding time period of the cutting vibration subsequence is calculated: the mean of the periodic vibration interference of all cutting vibration subsequences is obtained; the absolute value of the difference between the periodic interference of each cutting vibration subsequence and the mean of the periodic vibration interference is obtained, and the ratio of the absolute value of the difference to the mean of the periodic vibration interference is calculated, and it is forward fused with the vibration cutting mobility of each cutting vibration subsequence to obtain the tool processing oscillation of each cutting vibration subsequence. In this embodiment, multiple variables are forward fused using a multiplication calculation method. It should be noted that, in order to avoid the denominator being 0 during the calculation of the ratio, a parameter greater than zero needs to be added to the denominator, and the value in this embodiment is 0.001.

[0034] It should be understood that the tool processing oscillation is a comprehensive assessment based on the periodic vibration interference and vibration cutting movement. It measures the stability of the cutting process by quantifying the overall deviation and dynamic changes of the tool during the vibration process. It can accurately monitor the vibration state of the tool during the processing process, so that the cutting force of the tool can be accurately adjusted.

[0035] For the tool processing oscillation of the tool, when the tool processing oscillation value is constantly weakening over time, it means that the tool is gradually approaching the end point of cutting, the cutting depth is gradually decreasing, and the contact area between the tool and the mold plate is gradually decreasing. At this time, the cutting force of the machine tool tool does not need to be changed. On the contrary, the cutting force needs to be reduced to ensure that the machine tool tool can stably cut the mold plate to avoid burrs, roughness, and distortion of the mold shape after cutting.

[0036] Thus, the tool processing oscillation degree of the cutting vibration subsequence is arranged in the order of the corresponding time periods of the cutting vibration subsequence to obtain the tool processing oscillation sequence. Then the tool processing oscillation sequence is used as the input of the straight line fitting algorithm to obtain the slope of the fitting line. The straight line fitting algorithm in this embodiment adopts the least squares method, which is a well-known technology, and the specific calculation steps are not repeated here.

[0037] Based on the above indicators, the adjustment coefficient of cutting force is calculated: ; In the formula, Indicates the adjustment coefficient of the machine tool cutting force; It represents the slope of the fitted straight line of all tool machining oscillations; represents the mean value of all tool processing oscillations; b represents the maximum value adjustment ratio, the value range is [0,1], and the value in this embodiment is 0.5; Represents the normalization function. In this example, the normalization formula used is ,in, Represents an exponential function with a natural constant as base.

[0038] It should be understood that the machine tool cutting force adjustment coefficient is based on the changing trend of the tool processing oscillation degree to express the dynamic changes of the vibration experienced by the tool during the cutting process. The larger the machine tool cutting force adjustment coefficient, the greater the collision force between the tool and the mold 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, improve the machine tool's control over the tool cutting force, and ensure product quality.

[0039] Cutting intelligent control module: Based on the adjustment coefficient, the current cutting force is adjusted, and the cutting force of the machine tool is controlled in combination with the adaptive control algorithm.

[0040] For the cutting force, when the cutting force is relatively stable, it means that the cutting force can effectively cut the mold plate, so there is no need to adjust the cutting force. When the cutting force is unstable, it means that the tool is vibrating and the cutting force needs to be reduced to keep the tool in a stable operating state. The greater the cutting force after adaptive adjustment, the greater the cutting force applied by the machine tool tool to the mold plate. This usually means that the tool needs to overcome greater material resistance during the cutting process to ensure effective cutting of the material. Based on this, the cutting force of the machine tool is adjusted: the adjustment coefficient of the machine tool cutting force and the multiplication result of the machine tool current cutting force are obtained, and the difference between the current cutting force of the machine tool and the multiplication result is used as the cutting force after the machine tool is adjusted.

[0041] It should be noted that the initial cutting force can be calculated based on the coefficients related to the material and the tool. , Feed rate , cutting depth , cutting speed The calculation is performed, and its value is determined by the specific mold material and shape. The calculation formula is .

[0042] In order to realize intelligent cutting of machine tools and more accurately control the cutting force of the tool, the adaptively adjusted cutting force value obtained through precise calculation in the above steps is used as the input signal of the adaptive controller. The adaptive controller calculates the parameters of the controller with its embedded advanced adaptive control algorithm. The adaptive controller calculates and outputs new control signals through the controller parameters to drive the cutting force of the tool and realize precise control 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 errors and tool wear during the processing, but also significantly improve the processing efficiency and processing accuracy of the mold, and realize precise intelligent cutting of the mold. The calculation of the adaptive control algorithm is a well-known technology, and the specific calculation steps will not be repeated here.

[0043] Among them, the specific flow chart of machine tool cutting control is as follows Figure 2 shown.

[0044] To summarize, the embodiment of the present application collects vibration data during the machine tool cutting process, calculates the vibration cutting movement and periodic vibration interference, and comprehensively reflects the movement and stability of the tool during the vibration process; further calculates the tool processing oscillation degree, and adjusts the cutting force, effectively reducing the processing error caused by vibration, thereby improving the size accuracy and shape accuracy of the mold, and meeting the manufacturing needs of high-precision and complex-shaped products.

[0045] Furthermore, the system can monitor the tool operation status in real time, automatically adjust the cutting force through adaptive control algorithms, ensure that the machine tool operates in the best condition, avoid tool damage and mold scrapping, reduce downtime and maintenance costs, improve machine tool utilization and production efficiency, and shorten the production cycle.

[0046] In addition, monitoring tool vibration and properly adjusting the cutting force can reduce vibration and impact during processing, extend tool life, reduce tool wear rate, and avoid additional load on the machine tool transmission system and spindle system caused by improper cutting force, improve machine tool stability and reliability, reduce equipment failures, and ensure production continuity and stability.

[0047] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the function marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two continuous boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two continuous operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

[0048] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A machine tool intelligent cutting control system for mold cutting, characterized in that: The system includes: The cutting data acquisition module is used to collect the vibration data of the machine tool cutting process and form a cutting vibration sequence; The cutting data analysis module is used to evenly divide the cutting vibration sequence to obtain cutting vibration subsequences; according to the difference between adjacent elements in each cutting vibration subsequence, combined with the discrete degree of the elements, the vibration cutting mobility of each cutting vibration subsequence is obtained; the difference between the extreme points of each cutting vibration subsequence is analyzed to determine the periodic vibration interference degree of each cutting vibration subsequence; based on the difference between the periodic vibration interference degree distribution of each cutting vibration subsequence and all cutting vibration subsequences, the tool processing oscillation degree of each cutting vibration subsequence is obtained; the tool processing oscillation degrees of all cutting vibration subsequences are fitted, and the adjustment coefficient of the cutting force is determined in combination with the overall distribution of the tool processing oscillation degrees; 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 in combination with the adaptive control algorithm.

2. A machine tool intelligent cutting control system for mold cutting as claimed in claim 1, characterized in that: The specific steps of obtaining the vibration cutting mobility of each cutting vibration subsequence include: The difference mean between adjacent elements of each cutting vibration subsequence is obtained, and forward fused with the discrete degree of the cutting vibration subsequence to obtain the vibration cutting mobility of each cutting vibration subsequence.

3. A machine tool intelligent cutting control system for mold cutting as claimed in claim 2, characterized in that: The degree of dispersion is determined by the standard deviation.

4. The machine tool intelligent cutting control system for mold cutting according to claim 2, characterized in that: The vibration cutting mobility is specifically the product of the difference mean and the discreteness.

5. The machine tool intelligent cutting control system for mold 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, record the difference between each extreme value point and the minimum value as the first difference; record the difference between the maximum value and each extreme value point as the second difference; The minimum difference between the first difference and the second difference of each extreme point is obtained, and the periodic vibration interference degree of each cutting vibration subsequence is determined through the minimum difference of all extreme points in each cutting vibration subsequence.

6. The machine tool intelligent cutting control system for mold cutting according to claim 5, characterized in that: The periodic vibration interference degree is specifically the cumulative sum of the minimum differences of all extreme value points in each cutting vibration subsequence.

7. The machine tool intelligent cutting control system for mold cutting according to claim 1, characterized in that: The tool processing oscillation degree of each cutting vibration subsequence is obtained as follows: Obtain the mean periodic vibration interference degree of all cutting vibration subsequences; obtain the absolute value of the difference between the periodic interference degree of each cutting vibration subsequence and the mean periodic vibration interference degree, calculate the ratio of the absolute value of the difference to the mean periodic vibration interference degree, and perform forward fusion with the vibration cutting mobility of each cutting vibration subsequence to obtain the tool processing oscillation degree of each cutting vibration subsequence.

8. The machine tool intelligent cutting control system for mold cutting according to claim 7, characterized in that: The tool machining oscillation degree is specifically the product of the ratio of each cutting vibration subsequence and the vibration cutting movement degree.

9. The machine tool intelligent cutting control system for mold cutting according to claim 1, characterized in that: The specific formula for determining the adjustment coefficient of the cutting force is: ; In the formula, Indicates the adjustment coefficient of the machine tool cutting force; It represents the slope of the fitted straight line of all tool machining oscillations; represents the mean value of all tool processing oscillations; b represents the preset maximum value adjustment ratio; Represents the normalization function.

10. The machine tool intelligent cutting control system for mold cutting according to claim 1, characterized in that: The current cutting force is adjusted as follows: The multiplication result of the adjustment coefficient of the cutting force of the machine tool and the current cutting force of the machine tool is obtained, and the difference between the current cutting force of the machine tool and the multiplication result is used as the cutting force after the machine tool is adjusted.

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