Cutter bar strain measurement device and machining error reduction method thereof

Abstract

The invention provides a tool bar strain measurement device and a machining error reduction method thereof, and relates to the technical field of numerical control lathe machining. The tool bar strain measuring device comprises a tool bar, a sensor mounting groove is formed in the tool bar, a strain sensor is fixed in the sensor mounting groove, a signal transmission channel is arranged at the tail of the tool bar and used for being connected with the strain sensor and a data acquisition device, and the data acquisition device is used for collecting and processing strain signals in real time. Tool bar strain data of the strain sensor are acquired in real time through the data acquisition device, whether machining errors exist or not is quickly judged, and cutting parameters are dynamically adjusted. Machining errors caused by cutting force can be remarkably reduced, universality is high, installation is easy and convenient, the method is suitable for various working conditions, and the machining precision of the numerical control lathe can be effectively improved.

Description

Technical Field

[0001] This invention relates to the field of CNC lathe machining technology, and more specifically, to a tool holder strain measuring device. Background Technology

[0002] With the rapid development of high-end manufacturing industries such as aerospace, medical devices, and automobile manufacturing, the precision requirements for machining complex parts are increasing, driving the manufacturing industry towards intelligence, precision, and efficiency. In the field of CNC turning, improving turning accuracy has become one of the key technological goals. Traditional CNC turning processes achieve precise machining of workpieces by controlling the workpiece's rotation and the cutting operation of the tool according to a preset path. However, in actual machining, the interaction between the tool and the workpiece generates cutting forces, which can cause tensile or compressive deformation of the tool holder, and even elastic deformation or bending of the workpiece. These deformations directly lead to increased workpiece dimensional errors, excessive surface roughness, and in severe cases, even workpiece scrap. In existing technologies, due to the lack of real-time monitoring methods for the strain state of the tool holder during cutting, it is difficult to quickly determine whether machining errors exist and dynamically adjust cutting parameters to compensate for them. In addition, although existing commercial force gauges can measure cutting forces, they are large and complex to install, making them difficult to apply directly to actual production environments and limiting their widespread use in industrial scenarios.

[0003] In view of the above, this application is hereby submitted. Summary of the Invention

[0004] The present invention aims to provide a tool holder strain measurement device to solve the problem in the prior art that the tool holder is deformed or the workpiece is bent due to changes in cutting force, which affects the machining accuracy and makes it difficult to quickly determine whether there is a machining error and make dynamic adjustments.

[0005] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution: A tool bar strain measuring device includes a tool bar (1), the tool bar (1) having a sensor mounting groove (9) inside; a strain sensor (5) fixed in the sensor mounting groove (9); a signal transmission channel (2) for connecting the strain sensor (5) and a data acquisition device (10) at the tail end of the tool bar (1); a cutting mechanism (8) adapted to the front end of the tool bar (1); and the data acquisition device (10) for real-time acquisition and processing of strain signals.

[0006] Preferably, it also includes an encapsulation cover plate (3), which is fixed above the sensor mounting slot (9) through the cover plate threaded holes (4, 7).

[0007] Preferably, it further includes: a sensor mounting threaded hole (6) is opened on the bottom surface of the sensor mounting groove (9) for tightly connecting the strain sensor (5) to the tool bar (1) by means of an M6 screw.

[0008] Preferably, the strain sensor (5) uses piezoelectric ceramic material as the sensing element and utilizes the piezoelectric effect to achieve highly sensitive micro-strain measurement.

[0009] The present invention also provides a method for reducing machining errors based on a tool bar strain measurement device, comprising: S1: Obtain the actual size data of the tool holder and workpiece, and set the ideal size of the workpiece; S2, real-time acquisition of strain data of the tool holder; S3, calculate the workpiece machining error based on the actual and ideal dimensions of the workpiece; S4, calculate the deformation of the tool holder based on the strain data and the actual size data of the tool holder; S5. Based on the relationship between the workpiece machining error and the tool holder deformation, the presence of machining error is determined by real-time acquired strain data, so as to dynamically adjust the cutting parameters.

[0010] Preferably, the workpiece machining error The expression is: ; Where R is the radius of the ideal size of the workpiece, and R' is the radius of the actual size of the workpiece.

[0011] Preferably, the difference in deformation of the tool holder The expression is: ; in, The strain data; This is the length of the tool holder, obtained from the actual dimensions of the tool holder.

[0012] Preferably, based on the relationship between the workpiece machining error and the tool holder deformation, the presence of machining error is determined by real-time acquired strain data, specifically: Based on the fact that the workpiece machining error is equal to the tool holder deformation, that is: ; Then, through The size can be quickly used to determine if there are any processing errors in the workpiece, so that adjustments can be made.

[0013] Preferably, the method for dynamically adjusting cutting parameters specifically includes: Obtain tool holder strain data and corresponding cutting parameter data under different cutting parameters; Multivariate nonlinear fitting is performed on the tool bar strain data and the cutting parameter data to establish a mathematical relationship model between the tool bar strain and the cutting parameters; wherein, the mathematical relationship model is used to predict the tool bar strain value under different cutting parameters so that the tool bar strain is controlled within the cutting parameters within a preset range; The cutting parameters are dynamically adjusted based on the mathematical relationship model described above.

[0014] Preferably, the cutting parameter data includes: cutting speed, feed rate, and depth of cut.

[0015] The present invention also provides a machining error reduction device based on tool holder strain, comprising: The basic data acquisition unit is used to acquire the actual size data of the tool holder and the workpiece, and to set the ideal size of the workpiece. The real-time data unit is used to acquire the strain data of the tool holder in real time. The workpiece machining error calculation unit is used to calculate the workpiece machining error based on the actual size data and the ideal size of the workpiece. The tool holder deformation calculation unit is used to calculate the tool holder deformation based on the strain data and the actual size data of the tool holder. The judgment unit is used to determine whether there is a machining error based on the relationship between the workpiece machining error and the tool holder deformation, by using real-time acquired strain data, so as to dynamically adjust the cutting parameters.

[0016] The present invention also provides a computer-readable storage medium storing computer-readable instructions, which, when executed by a processor of the device in which the computer-readable storage medium resides, implement the machining error reduction method based on tool holder strain as described above.

[0017] In summary, compared with the prior art, the present invention has the following beneficial effects: The tool holder strain measurement device of this invention employs a strain sensor with piezoelectric ceramic material as the sensing element. Utilizing the piezoelectric effect, it achieves highly sensitive micro-strain measurement, accurately and reliably identifying the tool holder strain state, quickly determining the presence of machining errors online, and dynamically adjusting cutting parameters. Secondly, the tool holder strain measurement method proposed in this invention is easy to install, requires no special tooling fixtures, and is applicable to most CNC lathes, exhibiting good versatility. Thirdly, by monitoring tool holder strain data in real time and optimizing cutting parameters, it can quickly and effectively reduce machining errors caused by tool retraction or workpiece deformation due to cutting forces, achieving ultra-precision turning. Finally, the sensor signal transmission cable has an IP67 waterproof rating, suitable for various working conditions such as dry and wet cutting, expanding its application range.

[0018] In summary, this invention, by introducing a tool bar strain measurement device and a method for rapid judgment and compensation optimization of machining errors based on tool bar strain, realizes dynamic adjustment of cutting parameters in CNC lathe machining, significantly improves machining accuracy, reduces machining errors, and has important industrial application value. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the tool bar structure of a tool bar strain measuring device provided in Embodiment 1.

[0021] Figure 2 This is a top view of the tool holder structure of a tool holder strain measurement device provided in Embodiment 1.

[0022] Figure 3 This is an overall structural diagram of a tool bar strain measurement device provided in Embodiment 1.

[0023] Figure 4 This is a side view of a tool bar strain measuring device provided in Embodiment 1.

[0024] Figure 5 This is a schematic diagram of the tool holder deformation under different cutting parameters provided in Example 1.

[0025] Figure 6 The flowchart illustrates a method for reducing machining errors based on a tool bar strain measurement device, as provided in Embodiment 2 of the present invention.

[0026] Figure 7 This is a flowchart of the cutting parameter adjustment method provided in Embodiment 3 of the present invention.

[0027] The attached diagram is labeled as follows: 1. Modified tool holder; 2. Signal transmission channel; 3. Encapsulation cover plate; 4. Threaded hole in the cover plate; 5. Strain sensor; 6. Sensor mounting threaded hole; 7. Threaded hole in the cover plate; 8. Blade; 9. Sensor mounting slot; 10. Data acquisition device.

[0028] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention 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 the present invention, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0030] Example 1 like Figure 1-4 As shown, a tool bar strain measurement device includes a tool bar 1, with a sensor mounting slot 9 inside the tool bar 1, where a strain sensor 5 is fixed. A signal transmission channel 2 is built into the tail of the tool bar 1, with one end connected to the strain sensor 5 and the other end extending to the tail of the tool bar 1, for connecting the strain sensor 5 to a data acquisition device 10. The data acquisition device 10 has signal analysis and processing software, which is connected to the output end of the signal transmission channel 2 via a cable, to receive and process the signal transmitted by the strain sensor 5, for real-time acquisition and processing of the strain signal.

[0031] In practical applications, strain sensor 5 is installed inside tool holder 1. For example... Figure 1 As shown, the tool holder 1 is provided with a sensor mounting slot 9 for fixing the strain sensor 5. The bottom surface of the sensor mounting slot 9 has an M6 threaded hole, namely the sensor mounting threaded hole 6, for tightly connecting the strain sensor 5 to the tool holder 1 with an M6 screw and applying a preload force of not less than 1000N. This design ensures that the flatness of the sensing surface of the strain sensor 5 and the sensor mounting slot 9 is within 0.05mm, thereby guaranteeing measurement accuracy.

[0032] In addition, a signal transmission channel 2 is provided at the tail of the tool holder 1, through which the signal cable of the strain sensor 5 is connected to the data acquisition device 10.

[0033] Furthermore, the encapsulation cover 3 is fixed above the sensor mounting slot 9 through the threaded holes 4 and 7 to form a sealed structure, preventing cutting fluid or other external factors from interfering with the sensor's operation. The design of the encapsulation cover 3 not only achieves sealed protection for the sensor but also facilitates disassembly and maintenance, ensures a stable operating environment for the sensor, and improves the practicality of the device.

[0034] like Figure 2As shown, the cutting mechanism 8 (such as a cutting blade) is adapted to be connected to the front end of the tool holder 1 (such as by fixing it through a mechanical connection interface) and serves as the actuating component of the tool to realize the cutting function.

[0035] like Figure 3 As shown, the overall shape of the tool holder 1 is consistent with that of a standard tool holder, and it can be directly installed on the machine tool turret without the need for additional tooling fixtures, thus having strong versatility.

[0036] Furthermore, strain sensor 5 uses piezoelectric ceramic material as the sensing element, utilizing the piezoelectric effect to achieve highly sensitive micro-strain measurement. The strain sensor is small in size and lightweight, allowing it to be directly embedded inside the tool holder 1 without affecting the overall structural strength of the tool holder. Simultaneously, the sensor signal transmission cable has an IP67 waterproof rating, enabling it to operate normally under various working conditions such as dry or wet cutting, thus expanding its application scenarios.

[0037] The strain generated by the cutting mechanism 8 is transmitted to the strain sensor 5 through the tool holder 1. The strain sensor 5 collects the signal and transmits it to the data acquisition device 10 for processing via the signal transmission channel 2.

[0038] During the processing, first follow Figure 6 A rapid method for judging machining errors during process execution is proposed. A strain sensor 5 is installed inside the tool holder 1, and its output is connected to a data acquisition device 10 via a signal cable. The data acquisition device 10 has built-in signal analysis and processing software for real-time acquisition and processing of strain signals. Subsequently, the ideal dimensional accuracy of the workpiece is set, and the workpiece is subjected to external cylindrical turning based on the initial cutting parameters. The ideal workpiece machining radius is denoted as R, while the actual workpiece radius after machining is denoted as R'. The strain sensor 5 acquires the strain data of the tool holder in real time during the cutting process. .like Figure 5 As shown, different cutting parameters generate different cutting forces, causing the tool holder to undergo tensile or compressive deformation. These deformations directly affect the actual dimensions of the workpiece, therefore, it is necessary to accurately calculate the workpiece machining error. , The calculation formula is: ; Where R is the radius of the ideal size of the workpiece, and R' is the radius of the actual size of the workpiece.

[0039] Meanwhile, based on the real-time strain data of the tool holder obtained by strain sensor 5 Given the tool holder length L, the amount of tool holder deformation can be calculated. Its expression is: .

[0040] Based on theoretical mechanics, workpiece machining error Equal to the deformation of the tool holder ,Right now Therefore, it can be concluded that the workpiece dimensional error can be calculated by acquiring data from strain sensor 5.

[0041] The workpiece dimensional error is determined using data from strain sensor 5. For example, if the strain data from the strain sensor exceeds... When the value is positive, it indicates the presence of a workpiece dimensional error. When the strain gauge is under tensile strain, the strain data is positive; when the strain gauge is under compressive strain, the strain data is negative.

[0042] In a preferred embodiment, such as Figure 7 As shown, in order to further optimize cutting parameters and reduce machining errors, this invention employs a method for dynamically adjusting cutting parameters by constructing a mathematical model: First, obtain the tool holder strain data and the corresponding cutting parameter data under different cutting parameters, including cutting speed, feed rate and depth of cut, etc. Next, multivariate nonlinear fitting was performed on the tool bar strain data and cutting parameter data to establish a mathematical relationship model between the tool bar strain and the cutting parameters. This model can predict the tool bar strain value under different cutting parameters, thereby selecting a parameter to control the tool bar strain within a preset range (e.g., ...). exist Cutting parameters; Finally, the cutting parameters are dynamically adjusted based on the mathematical model to ensure that the strain of the tool holder remains within a reasonable range during the machining process, thereby minimizing machining errors.

[0043] By following the steps above, cutting parameters can be dynamically adjusted, significantly improving machining accuracy.

[0044] In this embodiment, multivariate nonlinear fitting is a method for fitting experimental or observed data by establishing a mathematical model containing multiple independent variables with nonlinear relationships between them. Its core objective is to find the optimal model parameters that minimize the error between the model's predicted values ​​and the actual observed values.

[0045] In this embodiment, the mathematical relationship model between the tool bar strain and the cutting parameters can be a multinomial regression model or a neural network model, or other models that can predict the tool bar strain value under different cutting parameters, and there is no limitation here.

[0046] For example, during the adjustment of cutting parameters, this invention establishes a mathematical relationship model between tool holder strain and cutting parameters using a multivariate nonlinear fitting method. The core of this model lies in its ability to accurately reflect the complex correlation between tool holder strain and cutting parameters. For instance, in a certain experiment, when the cutting speed was 150 m / min, the feed rate was 0.2 mm / r, and the depth of cut was 0.5 mm, the tool holder strain was... When the cutting speed is increased to 200 m / min, the feed rate remains constant, and the depth of cut is increased to 1.0 mm, the strain of the tool holder becomes... By fitting these data points, a mathematical model of the relationship between tool holder strain and cutting parameters was obtained. In subsequent machining, operators can use this model to predict tool holder strain values ​​under different cutting parameters and select the optimal parameter combination to ensure machining accuracy.

[0047] This invention also underwent multiple experimental verifications on workpieces made of different materials. For example, when machining stainless steel, due to its high hardness and large cutting force, the tool holder is prone to significant deformation. By monitoring the tool holder strain data in real time and adjusting the cutting parameters, the tool holder strain was successfully controlled within acceptable limits. Within this range, the dimensional error of the workpiece was significantly reduced. When machining aluminum alloys, due to their softness, the cutting force is relatively small, and the strain change of the tool holder is relatively gradual. Therefore, by optimizing the cutting parameters, machining efficiency was further improved while ensuring machining accuracy.

[0048] In practical applications, the technical solution of this invention significantly improves the machining accuracy of CNC lathes. For example, when machining high-precision aerospace components, traditional methods struggle to meet the extremely high dimensional accuracy requirements. By using the tool holder strain measurement device and machining error compensation optimization method provided by this invention, operators can monitor the tool holder strain state in real time and dynamically adjust cutting parameters based on a mathematical model. Experimental results show that the dimensional error of the machined workpiece is significantly reduced, achieving the expected machining requirements. Furthermore, since the modified tool holder 1 has the same external volume as the standard tool holder, it can be directly installed on the existing machine tool turret without additional equipment modifications, reducing implementation costs.

[0049] In summary, compared with the prior art, the present invention has the following beneficial effects: This invention achieves real-time monitoring of tool holder strain by introducing a modified tool holder and strain sensor, and dynamically adjusts cutting parameters using a mathematical model, significantly improving the machining accuracy of CNC lathes. This technical solution is not only applicable to high-precision machining fields such as aerospace, medical devices, and automobile manufacturing, but can also be widely applied in general industrial production, possessing significant industrial application value.

[0050] Example 2 like Figure 6 As shown, the second embodiment of the present invention also provides a method for reducing machining errors based on a tool bar strain measurement device, which includes steps S1 to S5.

[0051] S1: Obtain the actual size data of the tool holder and workpiece, and set the ideal size of the workpiece; S2, real-time acquisition of strain data of the tool holder; S3, calculate the workpiece machining error based on the actual and ideal dimensions of the workpiece; S4, calculate the deformation of the tool holder based on the strain data and the actual size data of the tool holder; S5. Based on the relationship between the workpiece machining error and the tool holder deformation, the presence of machining error is determined by real-time acquired strain data, so as to dynamically adjust the cutting parameters.

[0052] Furthermore, the workpiece machining error The expression is: ; Where R is the radius of the ideal size of the workpiece, and R' is the radius of the actual size of the workpiece.

[0053] Furthermore, the difference in the deformation of the tool holder The expression is: ; in, The strain data; This is the length of the tool holder, obtained from the actual dimensions of the tool holder.

[0054] Then, based on the fact that the workpiece machining error is equal to the tool holder deformation, that is: ; Then, through The size can be quickly used to determine if there are any processing errors in the workpiece, so that adjustments can be made.

[0055] In another preferred embodiment, such as Figure 7 As shown, the method for dynamically adjusting cutting parameters includes: Obtain tool holder strain data and corresponding cutting parameter data under different cutting parameters; Multivariate nonlinear fitting is performed on the tool bar strain data and the cutting parameter data to establish a mathematical relationship model between the tool bar strain and the cutting parameters; wherein, the mathematical relationship model is used to predict the tool bar strain value under different cutting parameters so that the tool bar strain is controlled within the cutting parameters within a preset range; The cutting parameters are dynamically adjusted based on the mathematical relationship model described above.

[0056] Furthermore, the cutting parameter data includes: cutting speed, feed rate, and depth of cut.

[0057] In the several embodiments provided in this invention, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus and method embodiments described above are merely illustrative. For example, the flowcharts in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of the invention. In this regard, each block in the flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0058] In addition, the functional modules in the various embodiments of the present invention can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0059] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, electronic device, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks. It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. In the absence of further restrictions, an element defined by the phrase "comprising a..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0060] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0061] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0062] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0063] The use of "first" and "second" in the embodiments is merely to distinguish similar objects and does not represent a specific ordering of objects. It is understood that "first" and "second" can be interchanged in a specific order or sequence where permitted. It should be understood that the objects distinguished by "first" and "second" can be interchanged where appropriate so that the embodiments described herein can be implemented in an order other than those illustrated or described herein.

[0064] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A tool bar strain measuring device, comprising a tool bar (1), characterized in that, The tool holder (1) is provided with a sensor mounting slot (9) inside; A strain sensor (5) is fixed in the sensor mounting slot (9); The tail of the tool holder (1) is provided with a signal transmission channel (2) for connecting the strain sensor (5) and the data acquisition device (10). The cutting mechanism (8) is adapted to be connected to the front end of the tool holder (1); The data acquisition device (10) is used to acquire and process strain signals in real time.

2. The tool bar strain measuring device according to claim 1, characterized in that... It also includes a cover plate (3), which is fixed above the sensor mounting slot (9) through the threaded holes (4, 7) of the cover plate.

3. The tool bar strain measuring device according to claim 1, characterized in that... It also includes: The bottom surface of the sensor mounting slot (9) has a sensor mounting threaded hole (6) for tightly connecting the strain sensor (5) to the tool bar (1) with an M6 screw.

4. The tool bar strain measuring device according to claim 1, characterized in that... The strain sensor (5) uses piezoelectric ceramic material as the sensing element and utilizes the piezoelectric effect to achieve highly sensitive micro-strain measurement.

5. A method for reducing machining errors based on a tool bar strain measurement device, characterized in that... ,include: S1: Obtain the actual size data of the tool holder and workpiece, and set the ideal size of the workpiece; S2, real-time acquisition of strain data of the tool holder; S3, calculate the workpiece machining error based on the actual and ideal dimensions of the workpiece; S4, calculate the deformation of the tool holder based on the strain data and the actual size data of the tool holder; S5. Based on the workpiece machining error and the tool holder deformation, the presence of machining error is determined by real-time acquired strain data, so as to dynamically adjust the cutting parameters.

6. The method for reducing machining errors based on a tool bar strain measurement device according to claim 5, characterized in that... The workpiece machining error The expression is: ； Where R is the radius of the ideal size of the workpiece, and R' is the radius of the actual size of the workpiece.

7. The method for reducing machining errors based on a tool bar strain measurement device according to claim 6, characterized in that... The difference in deformation of the tool holder The expression is: ； in, The strain data; This is the length of the tool holder, obtained from the actual dimensions of the tool holder.

8. The method for reducing machining errors based on a tool bar strain measurement device according to claim 7, characterized in that... Based on the workpiece machining error and the tool holder deformation, the presence of machining error is determined by real-time acquired strain data, specifically as follows: Based on the fact that the workpiece machining error is equal to the tool holder deformation, that is: ； Then, through The size can be quickly used to determine if there are any processing errors in the workpiece, so that adjustments can be made.

9. A method for reducing machining errors based on a tool bar strain measurement device according to claim 5, characterized in that... The specific methods for dynamically adjusting cutting parameters include: Obtain tool holder strain data and corresponding cutting parameter data under different cutting parameters; Multivariate nonlinear fitting is performed on the tool bar strain data and the cutting parameter data to establish a mathematical relationship model between the tool bar strain and the cutting parameters; wherein, the mathematical relationship model is used to predict the tool bar strain value under different cutting parameters so that the tool bar strain is controlled within the cutting parameters within a preset range; The cutting parameters are dynamically adjusted based on the mathematical relationship model described above.

10. A method for reducing machining errors based on a tool bar strain measurement device according to claim 9, characterized in that... The cutting parameter data includes: cutting speed, feed rate, and depth of cut.

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