Static Error Identification Method for Ultra-Precision Machining Based on Try-Cut Feature Structure

Abstract

The present invention discloses a method, device, and medium for identifying static errors in ultra-precision machining based on trial-cut feature structures. The method includes: measuring the cone angle α1 of the surface of a turning disk during feeding in the X direction, and identifying the perpendicularity error S according to the calculation expression #imgabs0# cx ; measuring the cone angle α2 of the surface of a turning disk during feeding in the Y direction, and identifying the perpendicularity error S according to the calculation expression #imgabs1# cy ; measuring the diagonal L1 and diagonal L2 of a square box during milling in the XY plane, and identifying the perpendicularity error S according to the calculation expressions #imgabs2##imgabs3# xy ; measuring the diagonal L3 and diagonal L4 of a square box during milling in the YZ plane, and identifying the perpendicularity error S according to the calculation expression #imgabs4# yz ; measuring the cone angle β of the outer circle of a cylinder during feeding in the Z direction, and identifying the perpendicularity error S according to the calculation expression #imgabs5# xz . This application realizes the accurate identification of five static errors in ultra-precision machining, is simple and easy to operate, and helps to improve the machining accuracy of machine tools.

Description

Technical Field

[0001] The present invention relates to the field of ultra-precision machining technology, and in particular, to an ultra-precision machining static error identification method, device, medium and program based on a trial-cut feature structure. Background Art

[0002] Ultra-precision machining technology is a manufacturing method with extremely high machining accuracy developed to meet the needs of nuclear energy, lasers, aerospace and other cutting-edge technologies, and has become an indispensable technology in the modern machinery manufacturing industry.

[0003] Ultra-precision machine tools are the key carriers for realizing ultra-precision machining, which directly determine the machining accuracy, efficiency and reliability of parts. The geometric errors caused by the manufacturing errors, assembly errors and axis motion control errors of the core components of ultra-precision machine tools are the main error sources in the machining process and have a great impact on the machining accuracy.

[0004] Geometric errors can be divided into two parts according to their causes: static errors caused by the assembly deviation of the moving axes, and motion errors caused by the actual motion of a single moving axis deviating from the ideal motion. Among them, the impact of static errors on machining accuracy is greater than that of motion errors.

[0005] For the identification of ultra-precision machining static errors, the current traditional methods mainly rely on direct measurement methods and non-cutting error identification methods. The direct measurement method refers to measuring a certain error separately through a detection instrument and a specific detection method. The non-cutting error identification method refers to making the machine tool move under non-machining conditions and inversely calculating a certain error by detecting the position information of the tool tip point.

[0006] The trial-cut method is a machining method that makes the actual size of the workpiece reach the qualified standard through the repeated process of trial-cutting the workpiece, measuring, adjusting the tool and then trial-cutting again. The existing error identification method based on trial-cut workpieces measures the error after trial-cutting the workpiece.

[0007] In the process of implementing the technical solution of the embodiments of the present application, the inventors of the present application at least found the following technical problems in the prior art:

[0008] The direct measurement method requires professional measuring instruments such as laser interferometers, and it takes a lot of time to install and debug the detection instruments. The installation and debugging process is very complicated, resulting in low measurement efficiency.

[0009] The non-cutting error identification method is measured under non-machining conditions and cannot truly and accurately reflect the errors in the actual machining process of ultra-precision machine tools. The non-cutting error identification method is not as accurate as the error identification method based on trial-cut workpieces.

[0010] In the existing error identification method based on trial-cut workpieces, the designed feature structure size is too small to amplify the influence of static error on the accuracy of feature structure size. It is only applicable to the static error identification of ordinary machine tools with relatively large error values, and not applicable to the static error identification of ultra-precision machine tools with relatively small error values.

[0011] In summary, the existing static error identification methods have technical problems of low efficiency, low accuracy, and being complex and difficult to operate. Summary of the Invention

[0012] The embodiments of the present application provide a method, device, medium, and program for identifying static errors in ultra-precision machining based on trial-cut feature structures, which solve the technical problems of low efficiency, low accuracy, and being complex and difficult to operate existing in the existing static error identification methods.

[0013] On the one hand, the embodiments of the present application provide a method for identifying static errors in ultra-precision machining based on trial-cut feature structures. The method includes: measuring the cone angle α1 of the surface of a turned disc during feeding in the X direction, and identifying the perpendicularity error S according to the calculation expression ; measuring the cone angle α2 of the surface of a turned disc during feeding in the Y direction, and identifying the perpendicularity error S according to the calculation expression cx ; measuring the diagonal lines L1 and L2 of a square box milled in the XY plane, and identifying the perpendicularity error S according to the calculation expression ; measuring the diagonal lines L3 and L4 of a square box milled in the YZ plane, and identifying the perpendicularity error S according to the calculation expression cy ; measuring the cone angle β of the outer circle of a cylinder during feeding in the Z direction, and identifying the perpendicularity error S according to the calculation expression ; measuring the diagonal lines L3 and L4 of a square box milled in the YZ plane, and identifying the perpendicularity error S according to the calculation expression xy ; measuring the diagonal lines L3 and L4 of a square box milled in the YZ plane, and identifying the perpendicularity error S according to the calculation expression ; measuring the cone angle β of the outer circle of a cylinder during feeding in the Z direction, and identifying the perpendicularity error S according to the calculation expression yz ; measuring the cone angle β of the outer circle of a cylinder during feeding in the Z direction, and identifying the perpendicularity error S according to the calculation expression ; xz .

[0014] Optionally, the measurement of the cone angle α1 of the surface of a turned disc during feeding in the X direction is specifically: measuring the cone angle α1 of the surface of a turned disc with a diameter of D1 during feeding in the X direction, and the diameter D1 is 200 mm.

[0015] Optionally, the measurement of the cone angle α2 of the surface of a turned disc during feeding in the Y direction is specifically: measuring the cone angle α2 of the surface of a turned disc with a diameter of D2 during feeding in the Y direction, and the diameter D2 is 200 mm.

[0016] Optionally, the measurement of the diagonal lines L1 and L2 of a square box milled in the XY plane is specifically: measuring the diagonal lines L1 and L2 of a square box with a side length of D3 milled in the XY plane, and the side length D3 is 100 mm.

[0017] Optionally, the measurement is performed on the diagonals L3 and L4 of the square box milled in the YZ plane. Specifically, the measurement is performed on the diagonals L3 and L4 of the square box with side length D4 milled in the YZ plane, and the side length D4 is 100 mm.

[0018] Optionally, the measurement is performed on the taper angle β of the cylindrical outer circle during turning while feeding along the Z direction. Specifically, the measurement is performed on the taper angle β of the cylindrical outer circle with length D5 during turning while feeding along the Z direction, and the length D5 is 70 mm.

[0019] Optionally, before measuring the taper angle α1, the taper angle α2, the diagonal L1, the diagonal L2, the diagonal L3, the diagonal L4, and the taper angle β, it further includes: performing a fine tool setting operation.

[0020] On the other hand, an embodiment of the present application further provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the ultra-precision machining static error identification method based on the try-cut feature structure are implemented.

[0021] An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the ultra-precision machining static error identification method based on the try-cut feature structure are implemented.

[0022] An embodiment of the present application further provides a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the ultra-precision machining static error identification method based on the try-cut feature structure are implemented.

[0023] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0024] Measure the taper angle α1 of the disc surface during turning while feeding along the X direction. According to the calculation expression Identify the perpendicularity error S cx ; Measure the taper angle α2 of the disc surface during turning while feeding along the Y direction. According to the calculation expression Identify the perpendicularity error S cy ; Measure the diagonals L1 and L2 of the square box milled in the XY plane. According to the calculation expression Identify the perpendicularity error S xy ; Measure the diagonals L3 and L4 of the square box milled in the YZ plane. According to the calculation expression Identify the perpendicularity error S yz ; Measure the taper angle β of the cylindrical outer circle during turning while feeding along the Z direction. According to the calculation expression Identify the perpendicularity error S xz。This application measures the feature information such as the cone angle of the disk end face, the diagonal length of the square box, and the taper of the cylindrical outer circle by trial cutting large-size feature structures such as the disk end face, the square box, and the cylindrical outer circle. Finally, the magnitudes of various errors are calculated based on the relationship between the feature information and the perpendicularity errors between axes, realizing the identification of five static errors in ultra-precision machining. It has the following advantages: First, different from the direct measurement method that requires a lot of time to install and debug professional measuring instruments such as laser interferometers, the static error identification method based on trial-cut feature structures proposed by the present invention is simple and easy to implement, and a profilometer commonly used in the ultra-precision field can be used to quickly measure the feature information. Second, compared with the non-cutting error identification method, the feature structures proposed by the present invention are obtained by trial cutting under the actual working conditions of the machine tool, and the identification method based on trial-cut feature structures can more accurately reflect the static errors in the actual machining process of ultra-precision machine tools. In addition, the large-size feature structures obtained by trial cutting amplify the influence of various static errors on machining accuracy, enabling this method to identify the static errors in ultra-precision machining with relatively small error values. The present invention can solve the technical problems of long measurement time, inaccurate identification, and complex and difficult operation of traditional static error identification methods, realizing the accurate identification of five static errors in ultra-precision machining, being simple and easy to operate, and helping to improve the machining accuracy of machine tools. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a flowchart of the ultra-precision machining static error identification method based on trial-cut feature structures in an embodiment of the present application;

[0026] Figure 2 is a schematic diagram for identifying the perpendicularity error S by the surface cone angle α1 obtained by turning the disk along the X direction in an embodiment of the present application cx ;

[0027] Figure 3 is a schematic diagram for identifying the perpendicularity error S by the surface cone angle α2 obtained by turning the disk along the Y direction in an embodiment of the present application cy ;

[0028] Figure 4 is a schematic diagram for identifying the perpendicularity error S by the diagonals L1 and L2 obtained by milling a square box in the XY plane in an embodiment of the present application xy ;

[0029] Figure 5 is a schematic diagram for identifying the perpendicularity error S by the diagonals L3 and L4 obtained by milling a square box in the YZ plane in an embodiment of the present application yz ;

[0030] Figure 6 is a schematic diagram for identifying the perpendicularity error S by the cone angle β obtained by turning the cylindrical outer circle along the Z direction in an embodiment of the present applicationxz Schematic diagram;

[0031] In the figure: 1 - Disc workpiece; 2 - Diamond arc turning tool; 3 - Square workpiece; 4 - Diamond ball-end milling cutter; 5 - Cylindrical workpiece. Specific implementation manner

[0032] The embodiment of the present application provides a method, device, medium and program for identifying static errors in ultra-precision machining based on trial-cut feature structures, which solves the technical problems of low efficiency, low accuracy, complexity and difficult operation existing in the existing static error identification methods.

[0033] The technical solution of an embodiment of the present invention is to solve the above problems, and the general idea is as follows:

[0034] Measure the taper angle α1 of the disc surface when turning along the X direction, and identify the perpendicularity error S according to the calculation expression ; Measure the taper angle α2 of the disc surface when turning along the Y direction, and identify the perpendicularity error S according to the calculation expression cx ; Measure the diagonal L1 and diagonal L2 of the square box when milling in the XY plane, and identify the perpendicularity error S according to the calculation expression ; Measure the diagonal L3 and diagonal L4 of the square box when milling in the YZ plane, and identify the perpendicularity error S according to the calculation expression cy ; Measure the taper angle β of the outer circle of the cylinder when turning along the Z direction, and identify the perpendicularity error S according to the calculation expression ; Measure the diagonal L3 and diagonal L4 of the square box when milling in the YZ plane, and identify the perpendicularity error S according to the calculation expression xy ; Measure the diagonal L3 and diagonal L4 of the square box when milling in the YZ plane, and identify the perpendicularity error S according to the calculation expression ; Measure the taper angle β of the outer circle of the cylinder when turning along the Z direction, and identify the perpendicularity error S according to the calculation expression yz ; Measure the taper angle β of the outer circle of the cylinder when turning along the Z direction, and identify the perpendicularity error S according to the calculation expression ; Measure the taper angle β of the outer circle of the cylinder when turning along the Z direction, and identify the perpendicularity error S according to the calculation expression xz。This application measures large-sized feature structures such as the end face of a turned disk, a square box, and the outer circle of a cylinder through trial cutting, then accurately measures feature information such as the taper angle of the disk end face, the diagonal length of the square box, and the taper of the cylinder outer circle. Finally, based on the relationship between the feature information and the perpendicularity error between each axis, the magnitudes of various errors are calculated to achieve the identification of five static errors in ultra-precision machining. It has the following advantages: First, different from the direct measurement method that requires a large amount of time to install and debug professional measuring instruments such as laser interferometers, the static error identification method based on trial-cut feature structures proposed in this invention is simple and easy to implement, and a profilometer commonly used in the ultra-precision field can be used to quickly measure the feature information. Second, compared with the non-cutting error identification method, the feature structures proposed in this invention are obtained through trial cutting under the actual working conditions of the machine tool. The identification method based on trial-cut feature structures can more accurately reflect the static errors in the actual machining process of ultra-precision machine tools. In addition, the large-sized feature structures obtained through trial cutting amplify the influence of various static errors on machining accuracy, enabling this method to identify the static errors in ultra-precision machining with relatively small error values. This invention can solve the technical problems of long measurement time, inaccurate identification, and complex and difficult operation of traditional static error identification methods, achieve the accurate identification of five static errors in ultra-precision machining, is simple and easy to operate, and helps to improve the machining accuracy of machine tools.

[0035] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners. Obviously, the embodiments described in this invention are part of the embodiments of this invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this invention without making creative efforts belong to the scope of protection of this invention.

[0036] Please refer to Figure 1 , and a static error identification method for ultra-precision machining based on trial-cut feature structures in the embodiments of this invention will be described in detail.

[0037] Step 101: Measure the taper angle α1 of the disk surface when turning along the X direction, and identify the perpendicularity error S cx ;

[0038] Step 102: Measure the taper angle α2 of the disk surface when turning along the Y direction, and identify the perpendicularity error S cy ;

[0039] Step 103: Measure the diagonal lines L1 and L2 of the square box when milling in the XY plane, and identify the perpendicularity error S xy ;

[0040] Step 104: Measure the diagonal lines L3 and L4 of the square box when milling in the YZ plane, and identify the perpendicularity error S yz ;

[0041] Step 105: Measure the taper angle β of the cylindrical outer circle fed along the Z direction for turning, and identify the perpendicularity error S xz .

[0042] Please refer to Figures 2 - 6 , the present invention discloses a method for identifying static errors in ultra-precision machining based on a trial-cut feature structure, including the following steps:

[0043] As Figure 2 shown, S1: Clamp the disc workpiece 1 on the spindle (C-axis) of the ultra-precision machine tool with a chuck, and install the diamond arc turning tool 2 on the tool rest. To reduce the influence of tool setting error, fine tool setting operation is required. Then give a certain rotational speed to the spindle, and make the tool feed along the X direction relative to the spindle to turn the disc end face with a diameter of D1. The perpendicularity error S cx will cause a certain taper angle at the trial-cut disc end face. To magnify the influence of the perpendicularity error S cx and reduce the interference of factors such as measurement error, it is preferred that the diameter D1 of the turned disc end face is 200 mm. After the disc end face trial cut is completed, remove the workpiece, and use a profiler to draw a line along the disc diameter through the disc center for profile measurement to obtain the taper angle α1 of the disc surface. The calculation expression for the perpendicularity error S cx is:

[0044]

[0045] As Figure 3 shown, S2: Clamp the disc workpiece 1 on the spindle of the ultra-precision machine tool with a chuck, and rotate the diamond arc turning tool 2 by 90° and install it on the tool rest so that the tool can feed along the Y direction for turning. To reduce the influence of tool setting error, fine tool setting operation is required. Then give a certain rotational speed to the spindle, and make the tool feed along the Y direction relative to the spindle to turn the disc end face with a diameter of D2. The perpendicularity error S cy will cause a certain taper angle at the trial-cut disc end face. To magnify the influence of the perpendicularity error S cy and reduce the interference of factors such as measurement error, it is preferred that the diameter D2 of the turned disc end face is 200 mm. After the disc end face trial cut is completed, remove the workpiece, and use a profiler to draw a line along the disc diameter through the disc center for profile measurement to obtain the taper angle α2 of the disc surface. The calculation expression for the perpendicularity error S cy is:

[0046]

[0047] As Figure 4As shown, S3: Clamp the square workpiece 3 on the spindle of the ultra-precision machine tool with a chuck, install the diamond ball-end milling cutter 4 on the tool rest and perform tool setting. Then give a certain rotational speed to the milling spindle, perform milling on the workpiece surface (XY plane), and use the linear axis to move for cutting to trial cut a square box with a side length of D3. The perpendicularity error S xy will cause the lengths of the two diagonals of the trial-cut square box to be unequal and become a rhombus box. To magnify the influence of the perpendicularity error S xy and reduce the interference of factors such as measurement error, it is preferable that the side length D3 of the milled square box is 100 mm. After the trial cutting of the square box is completed, remove the workpiece, use a profiler to measure the positions of the four vertices of the box, and obtain the lengths L1 and L2 of the two diagonals of the box. The perpendicularity error S xy can be obtained from the lengths L1 and L2 of the two diagonals, and the calculation expression is:

[0048]

[0049] As Figure 5 shown, S4: Clamp the square workpiece 3 on the spindle of the ultra-precision machine tool with a chuck, rotate the B axis by 90°, install the diamond ball-end milling cutter 4 on the tool rest and perform tool setting so that the tool can feed along the Z direction for milling. Then give a certain rotational speed to the milling spindle, perform milling on the side surface of the workpiece (YZ plane), and use the linear axis to move for cutting to trial cut a square box with a side length of D4. The perpendicularity error S yz will cause the lengths of the two diagonals of the trial-cut square box to be unequal and become a rhombus box. To magnify the influence of the perpendicularity error S yz and reduce the interference of factors such as measurement error, it is preferable that the side length D4 of the milled square box is 100 mm. After the trial cutting of the square box is completed, remove the workpiece, use a profiler to measure the positions of the four vertices of the box, and obtain the lengths L3 and L4 of the two diagonals of the box. The perpendicularity error S yz can be obtained from the lengths L3 and L4 of the two diagonals, and the calculation expression is:

[0050]

[0051] As Figure 6 shown, S5: Clamp the cylindrical workpiece 5 on the spindle of the ultra-precision machine tool with a chuck, install the diamond arc turning tool 2 on the tool rest and perform tool setting. Then give a certain rotational speed to the spindle, and feed the tool relative to the spindle along the Z direction to turn the outer circle of the cylinder with a length of D5. The perpendicularity error S cz between the rotation centerline of the C axis and the Z-axis guide rail will cause a certain taper in the trial-cut outer circle of the cylinder. To magnify the perpendicularity error S czTo reduce the influence and interference of factors such as measurement errors, it is preferable that the length D5 of the cylindrical outer circle turned is 70 mm. After the cylindrical outer circle is trial cut, remove the workpiece and use a profilometer to perform a grid scan along the contour of the cylindrical outer circle to obtain the cone angle β of the cylindrical outer circle. According to the cone angle β of the cylindrical outer circle, the perpendicularity error S between the C-axis rotation center line and the Z-axis guide rail can be identified. cz Combined with the perpendicularity error S between the C-axis rotation center line and the X-axis guide rail identified in S1 cx the perpendicularity error S between the X-axis guide rail and the Z-axis guide rail is further calculated. xz According to the cone angle β of the cylindrical outer circle and the perpendicularity error S in S1 cx the perpendicularity error S can be obtained. xz The calculation expression is as follows:

[0052]

[0053] The above is the embodiment of the present invention. The above embodiments and the specific parameters in the embodiments are only for clearly expressing the invention verification process and are not used to limit the patent protection scope of the present invention. The patent protection scope of the present invention still takes its claims as the criterion. Any equivalent structural changes made by using the content of the specification and drawings of the present invention should equally be included in the protection scope of the present invention.

[0054] Another embodiment of the present invention provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the ultra-precision machining static error identification method based on the trial cut feature structure are implemented.

[0055] Another embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the ultra-precision machining static error identification method based on the trial cut feature structure are implemented.

[0056] Another embodiment of the present invention provides a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the ultra-precision machining static error identification method based on the trial cut feature structure are implemented.

[0057] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0058] Measure the cone vertex angle α1 of the turned disk surface when feeding along the X direction, and identify the perpendicularity error S according to the calculation expression ; Measure the cone vertex angle α2 of the turned disk surface when feeding along the Y direction, and identify the perpendicularity error S according to the calculation expression cx ; Identify the perpendicularity error S cy; Measure the diagonal L1 and diagonal L2 of the square box milled in the XY plane, and identify the perpendicularity error S according to the calculation expression Identify the perpendicularity error S xy ; Measure the diagonal L3 and diagonal L4 of the square box milled in the YZ plane, and identify the perpendicularity error S according to the calculation expression Identify the perpendicularity error S yz ; Measure the cone angle β of the cylindrical outer circle turned along the Z direction of feed, and identify the perpendicularity error S according to the calculation expression Identify the perpendicularity error S xz . In this application, by trial-cutting the characteristic structures of large sizes such as the end face of the disc, the square box, and the cylindrical outer circle, and then accurately measuring the characteristic information such as the cone apex angle of the disc end face, the diagonal length of the square box, and the taper of the cylindrical outer cone, and finally calculating the magnitudes of various errors according to the relationship between the characteristic information and the perpendicularity errors between the axes, the identification of five static errors in ultra-precision machining is realized. It has the following advantages: First, different from the direct measurement method that requires a large amount of time for installing and debugging professional measuring instruments such as laser interferometers, the static error identification method based on trial-cutting characteristic structures proposed by the present invention is simple and easy to implement, and a profilometer commonly used in the ultra-precision field can be used to quickly measure the characteristic information; Second, compared with the non-cutting error identification method, the characteristic structures proposed by the present invention are obtained by trial-cutting under the actual working conditions of the machine tool, and the identification method based on trial-cutting characteristic structures can more accurately reflect the static errors in the actual machining process of ultra-precision machine tools; In addition, the large-size characteristic structures trial-cut magnify the influence of various static errors on the machining accuracy, enabling this method to identify the static errors in ultra-precision machining with relatively small error values. The present invention can solve the technical problems of long measurement time, inaccurate identification, and complex and difficult operation of traditional static error identification methods, realize the accurate identification of five static errors in ultra-precision machining, is simple and easy to operate, and helps to improve the machining accuracy of the machine tool.

[0059] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories and optical memories, etc.) containing computer-usable program code.

[0060] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices produce means for implementing the functions specified in one or more flows and / or one or more blocks Figure 1 one or more flows and / or one or more blocks Figure 1 for the functions specified in the one or more blocks.

[0061] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufactured article including instruction means for implementing the functions specified in one or more flows and / or one or more blocks Figure 1 one or more flows and / or one or more blocks Figure 1 for the functions specified in the one or more blocks.

[0062] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are performed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more flows and / or one or more blocks Figure 1 one or more flows and / or one or more blocks Figure 1 for the functions specified in the one or more blocks.

[0063] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A static error identification method for ultra-precision machining based on the trial cut feature structure, characterized in that The method includes: Measure the cone angle α1 of the turning disc surface fed in the X direction, according to the calculation expression Identify the perpendicularity error S cx ; Measure the taper angle α2 of the disc surface machined by feeding along the Y direction, according to the calculation expression Identify the perpendicularity error S cy ; Measuring the diagonal lines L1 and L2 of a square box milled in the XY plane, according to the calculation expression Identify perpendicularity error S xy ; Measuring the diagonal lines L3 and L4 of a square box milled in the YZ plane, according to the calculation expression Identifying perpendicularity error S yz ; Measure the taper angle β of turning the outer circle of a cylinder with feed in the Z direction, according to the calculation expression Identify the perpendicularity error S xz .

2. The method according to claim 1, wherein The measurement of the taper angle α1 of the disk surface during turning while feeding in the X direction is specifically: Measuring the taper angle α1 of the disk surface with a diameter of D1 during turning while feeding in the X direction, where the diameter D1 is 200 mm.

3. The method according to claim 1, wherein The measurement of the taper angle α2 of the disk surface during turning while feeding in the Y direction is specifically: Measuring the taper angle α2 of the disk surface with a diameter of D2 during turning while feeding in the Y direction, where the diameter D2 is 200 mm.

4. The method according to claim 1, characterized in that, The measurement of the diagonal lines L1 and L2 of a square box milled in the XY plane is specifically: Measuring the diagonal lines L1 and L2 of a square box with a side length of D3 milled in the XY plane, where the side length D3 is 100 mm.

5. The method according to claim 1, wherein The measurement of the diagonal lines L3 and L4 of a square box milled in the YZ plane is specifically: Measuring the diagonal lines L3 and L4 of a square box with a side length of D4 milled in the YZ plane, where the side length D4 is 100 mm.

6. The method according to claim 1, characterized in that, The measurement of the taper angle β of the outer circle of a cylinder during turning while feeding in the Z direction is specifically: Measuring the taper angle β of the outer circle of a cylinder with a length of D5 during turning while feeding in the Z direction, where the length D5 is 70 mm.

7. The method according to claim 1, wherein Before measuring the taper angle α1, the taper angle α2, the diagonal line L1, the diagonal line L2, the diagonal line L3, the diagonal line L4, and the taper angle β, it further includes: Performing a fine tool setting operation.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method described in any one of claims 1-7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method described in any one of claims 1-7.

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