CN110068268A - Circular Nose Cutting Edge lathe tool geometric parameter three-dimensional detection system and method based on zoom measurement - Google Patents
Circular Nose Cutting Edge lathe tool geometric parameter three-dimensional detection system and method based on zoom measurement Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/002—Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
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Abstract
Circular Nose Cutting Edge lathe tool geometric parameter three-dimensional detection system and method based on zoom measurement, object lens, linear displacement platform, Amici prism, the second lens and CCD camera are disposed with along optical path from the bottom to top above objective table, the first lens and monochromatic light source are provided in the input path of Amici prism from inside to outside, it is cased with annular light source on the outside of object lens, the signal input output end of CCD camera and linear displacement platform is separately connected computer.The present invention measures plane mirror using interference objective, and adjusting objective table interference fringe into CCD camera image is one hereinafter, keeping objective table vertical with systematic optical axis；The present invention can effectively remove the inactive pixels point formed because sample is irregular or impurity；The extraordinary image vegetarian refreshments in three-dimensional data can be removed；Realize the segmentation of circular arc data and straight-line data in nose profile；A variety of geometric parameters can be finally obtained in single measurement, and extract geometric parameter not influenced by measurement angle, there is preferable measurement reproducibility.
Description
Technical Field
The invention relates to three-dimensional detection of geometrical parameters of a turning tool with a circular arc edge. In particular to a system and a method for three-dimensionally detecting geometric parameters of a turning tool with a circular arc blade based on zoom measurement.
Background
The optical free-form surface element can enable an optical system to have more flexible and excellent characteristics, and is widely applied to various fields, and the method for realizing the ultra-precision cutting by the arc blade lathe tool is an effective method for processing the free-form surface. Due to the interaction between the surface of the workpiece and the cutting edge, the geometric parameters of the turning tool directly influence the shape precision and the surface appearance of the processed surface, and the geometric parameters mainly comprise the arc profile parameters of the tool nose, the angle parameters, the surface roughness of the front tool face and the like. The profile of the tool nose directly interacts with a machined workpiece, so that the shape precision and the surface appearance of the workpiece are influenced; the back angle can represent the sharpness of the turning tool and simultaneously shows the extrusion and friction effects of the back tool face on the surface of the cut workpiece; the rake angle also affects the sharpness of the turning tool, while the surface roughness of the rake face affects the chip formation and outflow process. Therefore, whether the turning tool is subjected to parameter detection when leaving a factory or is subjected to grinding and finishing after being worn, the accurate acquisition of the geometric parameters is of great importance.
The method for measuring the geometric parameters of the arc-blade turning tool at present is mainly a machine vision method, the basic operation is to carry out binarization and edge extraction on a picture and then carry out arc fitting on an extracted contour, and the method is mainly used for measuring the contour parameters of a tool nose, but the method has the limitations that the repeatability is not high, a plurality of parameters cannot be obtained simultaneously, and the like. The three-dimensional measurement method is not influenced by the measurement angle, so that good repeatability can be obtained, a plurality of geometric parameters can be obtained in single measurement, but the slope between the front tool face and the rear tool face of the arc blade turning tool is large, and the three-dimensional measurement methods have the limitation of the maximum measurement angle. The zooming measurement method is an optical surface morphology measurement method, has the characteristics of no damage of the traditional optical method, unique rapid measurement and capability of realizing measurement of a large slope surface, and is suitable for three-dimensional measurement and geometric parameter extraction of the arc blade turning tool.
Disclosure of Invention
The invention aims to solve the technical problem of providing a three-dimensional detection system and a three-dimensional detection method for the geometrical parameters of an arc-blade turning tool based on zoom measurement, which can effectively measure three-dimensional data of the tool tip of the arc-blade turning tool and can obtain various geometrical parameters in single measurement.
The technical scheme adopted by the invention is as follows: the utility model provides a three-dimensional detecting system of arc sword lathe tool geometric parameters based on zoom measurement, is including being used for supporting the objective table of arc sword lathe tool, objective, linear displacement platform, beam splitter prism, second lens and CCD camera have set gradually along the light path from lower supreme above the objective table, beam splitter prism's incident light goes up to be provided with first lens and monochromatic light source from inside to outside, the outside cover of objective has annular light source, the signal input output part of CCD camera and linear displacement platform connects the computer respectively.
When a tool tip image is measured, the arc blade turning tool is fixed on the objective table through a tool clamp for clamping the arc blade turning tool; the tool holder comprises: the adapter plate is used for fixing on the objective table and is fixed slide rail on the adapter plate, can slide on the slide rail and be provided with the first chuck and the second chuck that move that are used for cliping the arc sword lathe tool of symmetry, the both ends of slide rail are provided with respectively and are used for preventing first separation blade and the second separation blade that move chuck and second chuck roll-off slide rail.
A detection method of a three-dimensional detection system for geometrical parameters of a circular arc blade turning tool based on zoom measurement comprises the following steps:
1) respectively acquiring a rake face image sequence and a tool nose image sequence of the arc-edge turning tool;
2) respectively calculating the focus evaluation function value of each pixel point in the rake face image sequence and the cutter point image sequence by using the focus evaluation function, and removing invalid pixel points formed by sample irregularity or impurities;
3) obtaining the position of the maximum value of the focusing evaluation function of the effective pixel points by using a Gaussian interpolation method, and then filtering abnormal pixel points to respectively obtain the three-dimensional data of the front cutter face and the three-dimensional data of the cutter point of the final arc-shaped cutter tool;
4) performing least square plane fitting on the three-dimensional data of the rake face, wherein the included angle between the plane obtained by fitting and the plane perpendicular to the optical axis is a rake angle gamma, and calculating to obtain the surface roughness S of the rake face after the surface shape influence of the three-dimensional data of the rake face is removeda；
5) Feeding the three-dimensional data of the front tool face in the three-dimensional data of the tool nosePerforming least square plane fitting, performing rotary leveling on overall data by using an included angle between a plane obtained by fitting and a plane perpendicular to an optical axis to obtain three-dimensional data of a front tool face and three-dimensional data of a rear tool face after the rotary leveling, extracting a tool nose profile from the data after the rotary leveling, dividing arc data and linear data in the tool nose profile, fitting an arc by using a least square method to obtain fitted arc data, obtaining a fitted arc center, an arc radius R and an arc angle theta from the fitted arc data, and obtaining a roundness delta R and a profile degree delta R from the arc data in the tool nose profile and the fitted arc datai；
6) And (3) determining a plane by fitting the arc center and the tool nose contour vertex and being parallel to the optical axis direction, intersecting the rotationally leveled three-dimensional data of the front tool face and the rotationally leveled three-dimensional data of the rear tool face with the plane respectively to obtain a first intersection line and a second intersection line respectively, wherein the included angle between the front tool face and the rear tool face is β which is the included angle between the first intersection line and the second intersection line, and thus obtaining the rear angle α which is 90-gamma- β.
The step 1) comprises the following steps:
(1.1) opening a monochromatic light source, and adjusting an objective table to be vertical to the optical axis of the system;
(1.2) fixing the arc blade turning tool on an objective table, so that the front tool face of the arc blade turning tool corresponds to the objective lens;
(1.3) vertically scanning the front cutter face of the arc-edge turning tool by driving a linear displacement table through a computer, and simultaneously controlling a CCD (charge coupled device) camera to acquire images by the computer to obtain image sequences of the front cutter face with different focusing degrees;
(1.4) detaching the arc-shaped blade turning tool, obliquely installing the tool clamp on the objective table, installing the arc-shaped blade turning tool on the tool clamp, enabling the tool point of the arc-shaped blade turning tool to correspond to the objective lens, and turning on the annular light source;
and (1.5) vertically scanning the tool tip of the arc-shaped blade turning tool by driving the linear displacement table through the computer, and simultaneously controlling a CCD (charge coupled device) camera to acquire images by the computer to obtain a tool tip image sequence with different focusing degrees.
And (1.1) the adjusting objective table is vertical to the optical axis of the system, an interference objective lens is used for replacing an objective lens in the detection system, a plane mirror is placed on the objective table, the objective table is adjusted to enable interference fringes appearing in the CCD camera image to be less than one, and then the interference objective lens is replaced by the objective lens in the detection system.
And (1.5) vertically scanning the tool tip of the arc blade lathe tool for multiple times by using different light intensities of the monochromatic light source.
Respectively calculating the focus evaluation function value of each pixel point in the rake face image sequence and the tool nose image sequence by using the focus evaluation function in the step 2), wherein the following formula is adopted:
in the formula, I (x, y) is a pixel point, and F (x, y) is a focus evaluation function value at the pixel point (x, y).
The removing of the invalid pixel points formed by the irregularity or the impurities of the sample in the step 2) is to remove the invalid points according to the unbiasedness of the focusing evaluation function, firstly, a threshold value T is set, the image serial numbers of N pixel points with the largest focusing evaluation function value are extracted from the focusing evaluation function values of the pixel points at the same position in the rake face image sequence or the cutter point image sequence, the image serial numbers are sorted from big to small, every two adjacent image serial numbers are subtracted to obtain N-1 numerical values, the N-1 numerical values are added to obtain a numerical value K, the pixel points are invalid pixel points when the numerical value K is larger than the threshold value T, and the pixel points are valid pixel points when the numerical value K is smaller than or equal to the threshold value T.
The filtering of the abnormal pixel points in the step 3) is to use the SUSAN algorithm to carry out consistency check to filter the abnormal pixel points.
And 5) dividing the arc data and the straight line data in the cutter point profile by using a sliding dividing point method.
The invention relates to a system and a method for three-dimensional detection of geometrical parameters of a circular-arc-edge turning tool based on zoom measurement.A plane mirror is measured by using an interference objective, and an objective table is adjusted to be below one interference fringe in a CCD camera image, so that the objective table is perpendicular to an optical axis of a system; the method for removing the invalid pixel points of the zoom measurement is provided, so that the invalid pixel points formed by sample irregularity or impurities can be effectively removed; performing consistency check by using an SUSAN algorithm, and removing abnormal pixel points in the three-dimensional data; the method comprises the following steps of (1) realizing the segmentation of arc data and straight line data in a tool nose profile by using a sliding segmentation point method; finally, various geometric parameters can be obtained in single measurement, the extracted geometric parameters are not influenced by the measurement angle, and the measurement repeatability is better.
Drawings
FIG. 1 is a schematic structural diagram of a three-dimensional detection system for geometric parameters of a circular arc blade turning tool based on zoom measurement according to the invention;
FIG. 2 is a schematic view of the construction of the tool holder of the present invention;
FIG. 3 is a top view of FIG. 2;
FIG. 4 is a flow chart of a zoom measurement method of the present invention for extracting three-dimensional data;
FIG. 5 is a flow chart of the geometric parameter extraction of the rake face three-dimensional data of the present invention;
FIG. 6 is a flow chart of the geometric parameter extraction of three-dimensional data of the nose of the present invention;
in the drawings
1: the CCD camera 2: second lens
3: beam splitter prism 4: monochromatic light source
5: linear displacement stage 6: annular light source
7: objective lens 8: object stage
9: the computer 10: first lens
11: the adapter plate 12: sliding rail
13: first chuck 14: second movable chuck
15: first shutter 16: second stop
Detailed Description
The following describes in detail a system and a method for three-dimensional detection of geometric parameters of a circular arc blade lathe tool based on zoom measurement according to the present invention with reference to embodiments and drawings.
As shown in fig. 1, the three-dimensional detection system for the geometric parameters of the arc-shaped blade turning tool based on the zoom measurement comprises an object stage 8 for supporting the arc-shaped blade turning tool, wherein an objective lens 7, a linear displacement stage 5, a beam splitter prism 3, a second lens 2 and a CCD camera 1 are sequentially arranged above the object stage 8 from bottom to top along a light path, a first lens 10 and a monochromatic light source 4 are arranged on an incident light path of the beam splitter prism 3 from inside to outside, an annular light source 6 is sleeved outside the objective lens 7, and signal input and output ends of the CCD camera 1 and the linear displacement stage 5 are respectively connected with a computer 9.
When measuring the tool tip image, the arc blade turning tool is fixed on the objective table 8 through a tool clamp for clamping the arc blade turning tool; as shown in fig. 2 and 3, the tool holder includes: be used for fixing keysets 11 on the objective table 8 is fixed slide rail 12 on the keysets 11, can slide and be provided with the first chuck 13 and the second chuck 14 that move that are used for cliping the arc sword lathe tool of moving of symmetry on the slide rail 12, the both ends of slide rail 12 are provided with respectively and are used for preventing first chuck 13 and the second of moving moves chuck 14 roll-off slide rail 12's first separation blade 15 and second separation blade 16.
As shown in fig. 4, 5 and 6, the detection method of the three-dimensional detection system for the geometric parameters of the arc-blade turning tool based on the zoom measurement according to the present invention includes the following steps:
1) respectively acquiring a rake face image sequence and a tool nose image sequence of the arc-edge turning tool; the method comprises the following steps:
(1.1) opening a monochromatic light source, adjusting an objective table to be vertical to the optical axis of the system, replacing an objective lens in the detection system by an interference objective lens, placing a plane mirror on the objective table, adjusting the objective table to enable interference fringes appearing in a CCD camera image to be less than one, and then replacing the interference objective lens by an objective lens in the detection system.
(1.2) fixing the arc blade turning tool on an objective table, so that the front tool face of the arc blade turning tool corresponds to the objective lens;
(1.3) setting a step pitch and a measurement range, driving a linear displacement table to vertically scan the front cutter face of the arc-edge turning tool through a computer, and controlling a CCD (charge coupled device) camera to acquire images by the computer to obtain image sequences of the front cutter face with different focusing degrees;
(1.4) detaching the arc-shaped blade turning tool, obliquely installing the tool clamp on the objective table, installing the arc-shaped blade turning tool on the tool clamp, enabling the tool point of the arc-shaped blade turning tool to correspond to the objective lens, and turning on the annular light source;
and (1.5) vertically scanning the tool tip of the arc-shaped blade turning tool by driving the linear displacement platform through the computer, wherein the tool tip of the arc-shaped blade turning tool is vertically scanned for multiple times by using different light intensities of a monochromatic light source, and meanwhile, the computer controls the CCD camera to acquire images to obtain a tool tip image sequence with different focusing degrees.
2) Respectively calculating the focus evaluation function value of each pixel point in the rake face image sequence and the cutter point image sequence by using the focus evaluation function, and removing invalid pixel points formed by sample irregularity or impurities; wherein,
the method comprises the following steps of respectively calculating the focus evaluation function value of each pixel point in the rake face image sequence and the tool nose image sequence by using the focus evaluation function, and adopting the following formula:
in the formula, I (x, y) is a pixel point, and F (x, y) is a calculation result at the pixel point I (x, y).
The method comprises the steps of removing invalid pixel points formed by sample irregularity or impurities according to unbiasedness of a focusing evaluation function, firstly setting a threshold value T, extracting image serial numbers of N pixel points with the largest focusing evaluation function value from focusing evaluation function values of pixel points at the same position in a rake face image sequence or a cutter point image sequence, sequencing the image serial numbers from big to small, subtracting every two adjacent image serial numbers to obtain N-1 numerical values, adding the N-1 numerical values to obtain a numerical value K, determining the pixel points as invalid pixel points when the numerical value K is larger than the threshold value T, and determining the pixel points as valid pixel points when the numerical value K is smaller than or equal to the threshold value T.
3) Obtaining the position of the maximum value of the focusing evaluation function of the effective pixel points by using a Gaussian interpolation method, and then filtering abnormal pixel points to respectively obtain the three-dimensional data of the front cutter face and the three-dimensional data of the cutter point of the final arc-shaped cutter tool; the abnormal pixel points are filtered by using a SUSAN algorithm to carry out consistency check. The SUSAN operator uses a template which is approximately circular and consists of 37 pixel points, and traverses the image by using the template if the pixel point I (x, y) of the image in the template and the central pixel point I (x) of the image in the template0,y0) If the absolute value of the difference value of (a) is less than the set threshold t, the pixel point I (x, y) and the central pixel point I (x) are considered to be0,y0) Similarly, the discriminant function can be defined as follows:
the pixel points I (x, y) meeting the condition that the value c (x, y) is smaller than the set threshold t form a kernel value similarity region, the accumulated sum of the values c (x, y) of the pixel points I (x, y) in the kernel value similarity region is M, when the value M is larger than the set threshold g, the central pixel point is a normal pixel point, and when the value M is smaller than or equal to the set threshold g, the central pixel point is an abnormal pixel point. The consistency test can effectively remove abnormal pixel points on the basis of not changing original data as much as possible, and then final reconstruction data are obtained.
4) Performing least square plane fitting on the three-dimensional data of the rake face, wherein the included angle between the plane obtained by fitting and the plane perpendicular to the optical axis is a rake angle gamma, and calculating to obtain the surface roughness S of the rake face after the surface shape influence of the three-dimensional data of the rake face is removeda；
5) Performing least square plane fitting on the three-dimensional data of the front tool face in the three-dimensional data of the tool nose, rotationally leveling the whole data by using an included angle between a plane obtained by fitting and a plane vertical to an optical axis to obtain the three-dimensional data of the front tool face and the three-dimensional data of the rear tool face after the rotational leveling, extracting a tool nose profile from the rotationally leveled data, segmenting arc data and straight line data in the tool nose profile by using a sliding segmentation point method, and fitting an arc by using a least square method to obtain fitted arc data; the sliding division point method is characterized in that a tool nose contour can be divided into a section of circular arc, a first straight line and a second straight line which are connected to two ends of the circular arc, a first division point and a second division point are arranged in the tool nose contour, the first division point is a connection point of the first straight line and a left end point of the circular arc, the second division point is a connection point of a right end point of the circular arc and the second straight line, when the first division point and the second division point move, a series of divided data can be obtained, least square straight line fitting is carried out on data before the first division point and data after the second division point, least square circular arc fitting is carried out on data between the first division point and the second division point, fitted circular arc data and fitted straight line data are obtained, and the absolute value of the difference value between the fitted circular arc data and the fitted straight line data and the data point corresponding to the tool nose contour and the smallest division point, the final first split point and the second split point.Obtaining the center of the fitting circular arc, the radius R of the circular arc and the angle theta of the circular arc from the fitting circular arc data, and obtaining the roundness delta R and the profile degree delta R from the circular arc data in the contour of the tool nose and the fitting circular arc datai；
6) And (3) determining a plane by fitting the arc center and the tool nose contour vertex and being parallel to the optical axis direction, intersecting the rotationally leveled three-dimensional data of the front tool face and the rotationally leveled three-dimensional data of the rear tool face with the plane respectively to obtain a first intersection line and a second intersection line respectively, wherein the included angle between the front tool face and the rear tool face is β which is the included angle between the first intersection line and the second intersection line, and thus obtaining the rear angle α which is 90-gamma- β.
Claims (10)
1. The utility model provides a three-dimensional detecting system of arc sword lathe tool geometric parameters based on zoom measurement, is including being used for supporting objective table (8) of arc sword lathe tool, its characterized in that, objective table (8) top has set gradually objective (7), linear displacement platform (5), beam splitter prism (3), second lens (2) and CCD camera (1) along the light path from lower supreme, the incident light of beam splitter prism (3) is provided with first lens (10) and monochromatic light source (4) from inside to outside on the route, the outside cover of objective (7) has annular light source (6), computer (9) are connected respectively to the signal input/output part of CCD camera (1) and linear displacement platform (5).
2. The system for three-dimensional detection of geometric parameters of a circular arc blade turning tool based on zoom measurement as claimed in claim 1, wherein when measuring the nose image, the circular arc blade turning tool is fixed on the object stage (8) by a tool holder for holding the circular arc blade turning tool; the tool holder comprises: be used for fixing keysets (11) on objective table (8) are fixed slide rail (12) on keysets (11), slide rail (12) are gone up and can slide and the symmetry be provided with first chuck (13) and the second that move that are used for cliping the arc sword lathe tool and move chuck (14), the both ends of slide rail (12) are provided with respectively and are used for preventing first chuck (13) and the second of moving move chuck (14) first separation blade (15) and second separation blade (16) of roll-off slide rail (12).
3. The detection method of the system for three-dimensional detection of the geometric parameters of the arc cutting lathe tool based on the zoom measurement as claimed in claim 1 is characterized by comprising the following steps:
1) respectively acquiring a rake face image sequence and a tool nose image sequence of the arc-edge turning tool;
2) respectively calculating the focus evaluation function value of each pixel point in the rake face image sequence and the cutter point image sequence by using the focus evaluation function, and removing invalid pixel points formed by sample irregularity or impurities;
3) obtaining the position of the maximum value of the focusing evaluation function of the effective pixel points by using a Gaussian interpolation method, and then filtering abnormal pixel points to respectively obtain the three-dimensional data of the front cutter face and the three-dimensional data of the cutter point of the final arc-shaped cutter tool;
4) performing least square plane fitting on the three-dimensional data of the rake face, wherein the included angle between the plane obtained by fitting and the plane perpendicular to the optical axis is a rake angle gamma, and calculating to obtain the surface roughness S of the rake face after the surface shape influence of the three-dimensional data of the rake face is removeda；
5) Performing least square plane fitting on the three-dimensional data of the rake face in the three-dimensional data of the tool nose, and rotationally leveling the whole data according to an included angle between a plane obtained by fitting and a plane perpendicular to an optical axisObtaining three-dimensional data of a front tool surface and three-dimensional data of a rear tool surface after rotary leveling, wherein a plane obtained by fitting the three-dimensional data of the front tool surface after rotary leveling is vertical to an optical axis, extracting a tool tip profile from the data after rotary leveling, dividing circular arc data and linear data in the tool tip profile, fitting a circular arc by using a least square method to obtain fitting circular arc data, obtaining a fitting circular arc center, a circular arc radius R and a circular arc angle theta from the fitting circular arc data, and obtaining a roundness delta R and a profile degree delta R from the circular arc data in the tool tip profile and the fitting circular arc datai；
6) And (3) determining a plane by fitting the arc center and the tool nose contour vertex and being parallel to the optical axis direction, intersecting the rotationally leveled three-dimensional data of the front tool face and the rotationally leveled three-dimensional data of the rear tool face with the plane respectively to obtain a first intersection line and a second intersection line respectively, wherein the included angle between the front tool face and the rear tool face is β which is the included angle between the first intersection line and the second intersection line, and thus obtaining the rear angle α which is 90-gamma- β.
4. The detection method of the system for three-dimensional detection of the geometric parameters of the arc cutting lathe tool based on the zoom measurement as claimed in claim 3, wherein the step 1) comprises the following steps:
(1.1) opening a monochromatic light source, and adjusting an objective table to be vertical to the optical axis of the system;
(1.2) fixing the arc blade turning tool on an objective table, so that the front tool face of the arc blade turning tool corresponds to the objective lens;
(1.3) vertically scanning the front cutter face of the arc-edge turning tool by driving a linear displacement table through a computer, and simultaneously controlling a CCD (charge coupled device) camera to acquire images by the computer to obtain image sequences of the front cutter face with different focusing degrees;
(1.4) detaching the arc-shaped blade turning tool, obliquely installing the tool clamp on the objective table, installing the arc-shaped blade turning tool on the tool clamp, enabling the tool point of the arc-shaped blade turning tool to correspond to the objective lens, and turning on the annular light source;
and (1.5) vertically scanning the tool tip of the arc-shaped blade turning tool by driving the linear displacement table through the computer, and simultaneously controlling a CCD (charge coupled device) camera to acquire images by the computer to obtain a tool tip image sequence with different focusing degrees.
5. The method for detecting the three-dimensional system for detecting the geometric parameters of the circular arc blade turning tool based on the zoom measurement as claimed in claim 4, wherein the adjusting stage in the step (1.1) is perpendicular to the optical axis of the system, an interference objective lens is used to replace an objective lens in the detection system, a plane mirror is placed on the stage, the stage is adjusted to make the number of interference fringes appearing in the CCD camera image be less than one, and then the interference objective lens is replaced by the objective lens in the detection system.
6. The method for detecting the three-dimensional geometric parameter detection system of the arc-shaped blade lathe tool based on the zoom measurement as claimed in claim 4, wherein the step (1.5) comprises the step of vertically scanning the tool tip of the arc-shaped blade lathe tool for a plurality of times by using different light intensities of the monochromatic light source.
7. The method for detecting the arc-blade turning tool geometric parameter three-dimensional detection system based on the zoom measurement as claimed in claim 3, wherein the step 2) of using the focus evaluation function to respectively calculate the focus evaluation function value of each pixel point in the rake face image sequence and the nose image sequence adopts the following formula:
in the formula, I (x, y) is a pixel point, and F (x, y) is a focus evaluation function value at the pixel point (x, y).
8. The detection method of the system for three-dimensional detection of geometrical parameters of the arc cutting tool based on zoom measurement according to claim 3, the method is characterized in that the invalid pixel points formed by sample irregularity or impurities are removed in the step 2), the invalid points are removed according to the unbiased property of a focusing evaluation function, a threshold value T is set firstly, image serial numbers of N pixel points with the largest focusing evaluation function value are extracted from the focusing evaluation function values of the pixel points at the same position in a rake face image sequence or a cutter point image sequence and are sorted from big to small, every two adjacent image serial numbers are subtracted to obtain N-1 numerical values, the N-1 numerical values are added to obtain a numerical value K, and the numerical value K is larger than the threshold value T, and if the value K is less than or equal to the threshold value T, the pixel point is an invalid pixel point.
9. The detection method of the three-dimensional detection system for the geometric parameters of the arc-blade turning tool based on the zoom measurement as claimed in claim 3, wherein the abnormal pixel points are filtered out in the step 3) by using a SUSAN algorithm to perform consistency check.
10. The method for detecting the system for detecting the geometric parameters of the arc-blade turning tool based on the zoom measurement as claimed in claim 3, wherein the arc data and the straight line data in the contour of the cutting tip in the step 5) are divided by using a sliding dividing point method.
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