INTELLIGENT SURFACE BURNISHING TOOL SYSTEM

Abstract

An intelligent surface burnishing tool system is provided. A surface burnishing tool can directly machine a surface of an irregular rotating workpiece and have a capability of sensing a cutting force and a vibration signal. In addition, according to the present disclosure, based on a multi-sensor integrated intelligent tool combined with a method for on-line monitoring of changes in surface roughness, the changes in workpiece surface roughness during machining are determined. Finally, based on on-line monitoring of the changes in surface roughness of the workpiece, functions such as real-time collection of a multidimensional force and vibration signals during surface burnishing and on-line monitoring of the changes in surface roughness are realized.

Claims

1. An intelligent surface burnishing tool system, comprising an intelligent surface burnishing tool and an on-line sensing device for changes in surface roughness of a workpiece being machined, wherein the intelligent surface burnishing tool comprises a burnishing tool head, an intelligent burnishing tool handle, and a laser displacement sensor, the burnishing tool head is mounted on the intelligent burnishing tool handle by a burnishing tool holder of the burnishing tool head; the intelligent burnishing tool handle comprises a vibration signal sensing measurement section, a cutting force sensing measurement section, and a tool handle clamping section connected to the cutting force sensing measurement section, the vibration signal sensing measurement section measures a vibration signal based on a vibration sensing chip, the cutting force sensing measurement section measures a cutting force signal based on a piezoelectric quartz crystal group, and the laser displacement sensor is mounted on the vibration signal sensing measurement section; the on-line sensing device for changes in surface roughness of a workpiece being machined is configured to acquire the cutting force signal; calculate a cutting coefficient; reconstruct a phase space; calculate, for each of pairs of points in the phase space, a proportion of a number of the pairs of points meeting a distance threshold to a total number of the pairs of points to obtain a correlation integral; linearly fit the correlation integral and the distance threshold to obtain a correlation dimension of the cutting coefficient, wherein steps of calculating the correlation dimension of the cutting coefficient are as follows: 1) calculating a delay time by a mutual information method, and calculating an optimal embedding dimension by a false nearest neighbor method; 2) reconstructing a phase space: based on a known delay time and the optimal embedding dimension, reconstructing a one-dimensional time series to obtain a reconstruction matrix; 3) calculating a correlation integral C(r): firstly selecting a series of distance thresholds r, wherein if a volume element with a radius r contains all phase points in the phase space, a value of C(r) is 1; and if the volume element with a radius r contains no phase point, the value of C(r) is 0; then calculating a Euclidean distance between each of pairs of points in the phase space; finally, calculating, for each of the distance thresholds r, a proportion of a number of the pairs of the points with a distance therebetween less than r to a total number of the pairs of the points: $C\left(r\right)=\frac{1}{N\left(N-1\right)}\underset{i=1}{\overset{N}{.Math.}}\underset{j=1,ji}{\overset{N}{.Math.}}H\left(r-.Math.X_i-X_j.Math.\right),$ wherein X.sub.i and X.sub.j are points in the phase space; N is a number of points in the phase space; and H() is a Heaviside step function; and 4) calculating the correlation dimension: taking a logarithm for each of the distance thresholds r and the correlation integral C(r) for linear fitting, and finally calculating a slope of a fitted straight line to obtain the correlation dimension of the cutting coefficient; and determine changes in the surface roughness of the workpiece during surface burnishing machining based on a relationship between the correlation dimension and a surface root mean square height of a workpiece surface after being surface burnishing machined.

2. The intelligent surface burnishing tool system according to claim 1, wherein the burnishing tool head comprises a ball head end cover, a burnishing ball head, a burnishing tool holder, and a burnishing ball, wherein the burnishing tool holder is of a cylindrical head bolt structure, and has a front end being of a cylindrical structure and a rear end being of a screw structure; the cylindrical front end is provided with a hemispherical cavity which is internally provided with a positioning groove for the burnishing ball; an annular oil storage cavity is provided below the hemispherical cavity, and an annular oil guide groove is provided between the hemispherical cavity and the annular oil storage cavity; a low end of the annular oil storage cavity is provided with an oil filling hole; the burnishing ball head and the burnishing ball are mounted in the hemispherical cavity by means of the ball head end cover; the ball head end cover is in threaded connection with the burnishing tool holder; and a rear end of the burnishing tool holder is fixedly mounted onto the intelligent burnishing tool handle by the screw structure.

3. The intelligent surface burnishing tool system according to claim 1, wherein the vibration signal sensing measurement section comprises a vibration signal sensing component carrier and a vibration signal sensing component, wherein the vibration signal sensing component carrier is a cuboid with a square cross-section, and has a side surface provided with an L-shaped through groove; the vibration signal sensing component comprises a vibration signal sensing unit carrier and a vibration signal sensing unit; the vibration signal sensing unit carrier is L-shaped and is mounted in the L-shaped through groove of the vibration signal sensing component carrier, and an inner surface of a longer end of the vibration signal sensing unit carrier is provided with a cavity for placing the vibration signal sensing unit; and the vibration sensing unit comprises a circuit board and a vibration sensing chip.

4. The intelligent surface burnishing tool system according to claim 1, wherein the cutting force sensing measurement section comprises a cutting force sensing unit carrier and a cutting force sensing unit, wherein the cutting force sensing unit carrier is a cuboid with a square cross-section provided with a cavity for placing the cutting force sensing unit; and the cutting force sensing unit comprises piezoelectric quartz crystal groups.

5. The intelligent surface burnishing tool system according to claim 4, wherein the cutting force sensing unit is six piezoelectric quartz wafers, the wafers are assembled in pairs to form three crystal groups that are placed in the cavity of the cutting force sensing unit carrier, an electrode sheet is placed between two wafers of each of the three crystal groups, and charges generated by a stress acting on the wafers are collected by the electrode sheet.

6. The intelligent surface burnishing tool system according to claim 5, wherein the cutting force sensing unit uses three quartz crystal groups, comprising an X0 cut crystal group and two Y0 cut crystal groups, force-sensitive directions of which are perpendicular to one another, wherein axial tension-compression forces of the intelligent surface burnishing tool are measured based on a tension-compression effect of the X0 cut crystal group, and tangential shear forces of the intelligent surface burnishing tool are measured based on shear effects of the two Y0 crystal groups.

7. The intelligent surface burnishing tool system according to claim 5, wherein the cutting force sensing measurement section further comprises a cutting force sensing unit end cover, wherein the cutting force sensing unit end cover is in direct contact with the piezoelectric quartz wafers, and a pre-tightening force is applied to the piezoelectric quartz wafers and the vibration signal sensing unit carrier by a bolt to mount the cutting force sensing unit end cover.

8. The intelligent surface burnishing tool system according to claim 1, wherein the laser displacement sensor is configured to measure a distance between a laser probe and a curved surface of a workpiece being tested, keeping a depth by which the burnishing ball is pressed into the surface of the workpiece unchanged during surface burnishing machining.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0025] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and those of ordinary skill in the art can still derive other drawings from these accompanying drawings without creative efforts.

[0026] FIG. 1 is a schematic diagram of an intelligent surface burnishing tool system according to the present disclosure.

[0027] FIG. 2 is an exploded view of an intelligent surface burnishing tool according to the present disclosure.

[0028] FIG. 3 is a cross-section diagram of a burnishing tool head according to the present disclosure.

[0029] FIG. 4 is an exploded view of a vibration signal sensing component according to the present disclosure.

[0030] FIG. 5 is an exploded view of a cutting force sensing measurement section according to the present disclosure.

[0031] FIG. 6 is a schematic operation diagram of a laser displacement sensor during surface burnishing machining.

[0032] FIG. 7 shows a cutting coefficient during surface burnishing machining.

[0033] FIG. 8 is a diagram showing a corresponding relationship between surface roughness and a correlation dimension D of a cutting coefficient.

[0034] In the figures, 1Lathe tool holder, 2Intelligent surface burnishing tool, 3Irregular rotating workpiece, 4Signal amplifier, 5Data collector, 6Data processing center, 7Multi-parameter signal real-time monitoring system, 8Burnishing tool head, 9Vibration signal sensing component carrier, 10Vibration signal sensing component, 11Cutting force sensing measurement section, 12Tool handle clamping section, 13Laser displacement sensor, 14Burnishing ball head, 15Burnishing ball, 16Oil guide groove, 17Annular oil storage cavity, 18Ball head end cover, 19Burnishing tool holder, 20Oil filling hole, 21Vibration signal sensing unit end cover, 22Vibration signal sensing unit, 23Vibration signal sensing unit carrier, 24Wire hole, 25Mounting through hole, 26Cutting force sensing unit end cover, 27First Y0 cut crystal group, 28X0 cut crystal group, 29Second Y0 cut crystal group, 30Cutting force sensing unit carrier, 31Wiring port.

DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] In order to make the objectives, technical solutions, and advantages of the present disclosure clearer, the present disclosure is further described below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely intended to explain the present disclosure but not to limit the present disclosure.

[0036] Referring to FIGS. 1 to 5, an intelligent surface burnishing tool system includes a lathe tool holder 1, an intelligent surface burnishing tool 2, an irregular rotating workpiece 3, a signal amplifier 4, a data collector 5, a data processing center 6, and a multi-parameter signal real-time monitoring system 7.

[0037] The data collector 5 collects, by means of the signal amplifier 4, data on vibration and a cutting force of the intelligent surface burnishing tool 2 and changes in displacement of a laser displacement sensor from a surface of the irregular rotating workpiece 3, and transmits the data to the data processing center 6.

[0038] The data processing center 6 performs relevant data processing based on the data transmitted by the data collector 5. In an aspect, real-time observation of data is realized by the multi-parameter signal real-time monitoring system 7. In another aspect, the data processing center 6 is connected to a control center of a numerical control lathe, and controls axial movement of the intelligent surface burnishing tool 2 based on output data of the laser displacement sensor, to keep a depth by which a burnishing ball is pressed into the surface of the workpiece unchanged during surface burnishing machining, realizing high-quality surface burnishing on the irregular rotating workpiece.

[0039] The intelligent surface burnishing tool 2 is fixedly mounted to the lathe tool holder 1 via bolts, and then to the lathe. The intelligent surface burnishing tool 2 includes a burnishing tool head 8, a vibration signal sensing component carrier 9, a vibration signal sensing component 10, a cutting force sensing measurement section 11, a tool handle clamping section 12, and a laser displacement sensor 13.

[0040] The burnishing tool head 8 includes a burnishing ball head 14, burnishing balls 15, an oil guide groove 16, an annular oil storage cavity 17, a ball head end cover 18, a burnishing tool holder 19, and an oil filling hole 20. The burnishing tool holder 19 is of a cylindrical head bolt structure, with a front end being of a cylindrical structure and a rear end being of a screw structure. The cylindrical front end is provided with a hemispherical cavity which is internally provided with a positioning groove for the burnishing balls. The annular oil storage cavity 17 is provided below the hemispherical cavity. The annular oil guide groove is provided between the hemispherical cavity and the annular oil storage cavity 17. The oil guide groove is annular and in communication with the positioning groove and the annular oil storage cavity 17. A low end of the annular oil storage cavity 17 is provided with the oil filling hole 20. The burnishing ball head 14 and the burnishing balls 15 are mounted in the hemispherical cavity of the surface burnishing tool holder 19 by means of the ball head end cover 18. The ball head end cover 18 is in threaded connection with the burnishing tool holder 19. The burnishing balls 15 are annularly laid in the positioning groove in the hemispherical cavity of the burnishing tool holder 19 uniformly, to assist the burnishing ball head 14 to roll in any direction. The oil storage cavity 17 is configured to store lubricating oil and the lubricating oil is conveyed to the burnishing ball head 14 through the oil guide groove 16, so as to lubricate the burnishing ball head 14, further assisting the burnishing ball head 14 to roll.

[0041] The vibration signal sensing component carrier 9 and the vibration signal sensing component 10 form a vibration signal sensing measurement section of a tool handle. A rear end of the burnishing tool head 8 is of a screw structure, which is fixedly mounted to the vibration signal sensing measurement section via a threaded hole arranged at a front end of the vibration signal sensing component carrier 9. The vibration signal sensing component carrier 9 is a cuboid with a square cross-section and has a side surface provided with an L-shaped through groove. The L-shaped vibration signal sensing component 10 is fixedly mounted into the L-shaped through groove of the vibration signal sensing component carrier 9 via a bolt passing through a threaded through hole 25. The L-shaped vibration signal sensing component 10 includes a vibration signal sensing unit 22, a vibration signal sensing unit end cover 21, and a vibration signal sensing unit carrier 23. The vibration signal sensing unit 22 includes a vibration sensing chip and a circuit board. The vibration sensing chip is welded into the circuit board in a circuit connection mode to form the vibration sensing unit 22. An inner surface of a longer end of the vibration signal sensing unit carrier 23 is provided with a cavity, and the vibration sensing unit 22 is fixedly mounted into the cavity of the vibration signal sensing unit carrier 23 via a bolt. A side surface of the vibration signal sensing unit carrier 23 is provided with a wire hole 24 for placing a vibration signal output line to be connected to the signal amplifier. The vibration signal sensing unit end cover 21 is mounted in the cavity of the vibration signal sensing unit carrier 23 by means of solid sol and is located above the vibration sensing unit 22 to protect the vibration sensing unit.

[0042] The cutting force sensing measurement section 11 includes a cutting force sensing unit end cover 26, a cutting force sensing unit, a cutting force sensing unit carrier 30, and a wiring port 31. The cutting force sensing unit is six piezoelectric quartz wafers and includes piezoelectric quartz crystal groups. The six wafers are assembled in pairs to form three crystal groups including a first Y0 cut crystal group 27, an X0 cut crystal group 28, and a second Y0 cut crystal group 29. A boss is arranged at a front end of the cutting force sensing unit end cover 26 to facilitate the transfer of a force to the piezoelectric crystal groups by the cutting force sensing unit end cover 26 during surface burnishing machining, so that the cutting force is measured more accurately. The cutting force sensing unit end cover 26 is not mounted on the cutting force sensing unit carrier 30, but is in direct contact with the piezoelectric quartz wafers. A pre-tightening force is applied to the piezoelectric quartz wafers and the vibration signal sensing unit carrier 9 by bolts to mount the cutting force sensing unit end cover. The cutting force sensing unit carrier 30 is a cuboid with a square cross-section provided with a cavity for placing the first Y0 cut crystal group 27, the X0 cut crystal group 28, and the second Y0 cut crystal group 29. A cross-sectional end of the cutting force sensing unit carrier 30 is provided with a through hole, and the cutting force sensing measurement section is mounted between the tool handle clamping section and the vibration signal sensing component carrier by bolts passing through the through hole. The X0 cut crystal group 28 is configured to measure an axial force during surface burnishing machining based on a tension-compression effect. The first Y0 cut crystal group 27 and the second Y0 cut crystal group 29 are configured to measure tangential forces during surface burnishing machining based on a shear effect. Since force-sensitive directions of the X0 cut crystal group 28, the first Y0 cut crystal group 27 and the second Y0 cut crystal group 29 are perpendicular to one another, directions of the axial force and tangential forces measured thereby are perpendicular to one another. An electrode sheet is arranged between the piezoelectric quartz wafers of each crystal group to collect charges generated by a stress acting on wafers, and the electrode sheet is connected to the wiring port 31 via a wire to lead out an electrical signal.

[0043] The tool handle clamping section 12 is a cuboid with a square cross-section and has a front end surface provided with threaded holes, and the tool handle clamping section 12 is connected to the vibration signal sensing measurement section and the cutting force sensing measurement section 11 via bolts to form the tool handle of the intelligent surface burnishing tool. The burnishing tool head 8 is connected to the tool handle of the intelligent surface burnishing tool via a screw at the rear end of the burnishing tool holder 19 to form the intelligent surface burnishing tool.

[0044] The laser displacement sensor 13 is a commercial sensor and is connected to the vibration signal sensing component carrier via a bolt. The multi-parameter signal real-time monitoring system is developed by Lab VIEW and Matlab software.

[0045] FIG. 6 is a schematic operation diagram of a laser displacement sensor during surface burnishing machining. During surface burnishing machining on the irregular rotating workpiece 3, a laser beam emitted by the laser displacement sensor 13 is directed to the irregular rotating workpiece 3 by a converging lens, and then the laser beam reflected by the irregular rotating workpiece 3 is scattered onto a position detection element by a receiving lens. A distance between the surface of the irregular rotating workpiece 3 and the receiving lens determines an angle at which the laser beam reaches the receiving lens, and the angle, in turn, determines a position at which the laser beam falls on the position detection element. The position at which the laser beam falls on the position detection element is processed by analog and digital electronic elements and analyzed and calculated by a microprocessor, to obtain changes in displacement between the laser displacement sensor and the surface of the irregular rotating workpiece 3 being tested.

[0046] In the present disclosure, the surface roughness is expressed by a surface root mean square height Sq. The process for on-line sensing of changes in surface roughness includes the following steps:

[0047] 1. A three-factor and three-level orthogonal test table for surface burnishing machining is set, as shown in Table 1:

TABLE-US-00001 TABLE 1 Orthogonal test table for surface burnishing machining Press-in depth of Speed of Feeding speed of Test tool head (mm) spindle (r/min) tool (mm/min) 1 0.12 3000 70 2 0.12 2000 40 3 0.12 1000 10 4 0.09 3000 40 5 0.09 2000 10 6 0.09 1000 70 7 0.06 3000 10 8 0.06 2000 70 9 0.06 1000 40

[0048] 2. A cutting force signal during the test is measured and is denoised, and a cutting coefficient of the surface burnishing machining is calculated. The calculation formula is as follows:

[00002]$\begin{array}{cc}=\frac{\sqrt{F_x^2+F_y^2}}{F_Z}& \left(1\right)\end{array}$ [0049] where F.sub.x, F.sub.y and F.sub.z are cutting forces in X, Y and Z directions, respectively.

[0050] 3. A surface root mean square height Sq of the surface of the workpiece after being surface burnishing machined is measured, with measurement results shown in Table 2:

TABLE-US-00002 TABLE 2 Surface roughness in tests 1 to 9 Test 1 2 3 4 5 6 7 8 9 Sq 205 297 319 151 156 133 131 78 92

[0051] 4. A correlation dimension D of the cutting coefficient is calculated, with the calculation steps as follows: [0052] 1) A delay time r is calculated by a mutual information method, and an optimal embedding dimension m is calculated by a false nearest neighbor method. [0053] 2) A phase space is reconstructed: Based on a known delay time and the optimal embedding dimension m, a one-dimensional time series x.sub.1, x.sub.2, x.sub.3, . . . , x.sub.n is reconstructed to obtain a reconstruction matrix X:

[00003]$\begin{array}{cc}X={\left[X_1,X_2,.Math.,X_N\right]}^T,N=n-\left(m-1\right)& \left(2\right)\end{array}$$\mathrm{where}$$\begin{array}{cc}{X}_i=\left[x_i,x_{i+},.Math.,x_{i+\left(m-1\right)}\right],i=1,2,.Math.,N& \left(3\right)\end{array}$ [0054] where X.sub.i is an i.sup.th reconstruction vector; is a delay time; m is the optimal embedding dimension; n is a total number of the time series; and N is a total number of the reconstruction vectors. [0055] 3) A correlation integral C(r) is calculated: A series of distance thresholds r are first selected. If is large enough, and a volume element with a radius r contains all phase points in the phase space, a value of C(r) is 1. If r is small enough and the volume element with a radius r contains no phase point, the value of C(r) is 0. Then a Euclidean distance between each of pairs of points in the phase space is calculated. Finally, for each distance threshold r, a proportion of a number of the pairs of points with a distance therebetween less than r a total number of the pairs of the points is calculated:

[00004]$\begin{array}{cc}C\left(r\right)=\frac{1}{N\left(N-1\right)}\underset{i=1}{\overset{N}{.Math.}}\underset{j=1,ji}{\overset{N}{.Math.}}H\left(r-.Math.X_i-X_j.Math.\right)& \left(4\right)\end{array}$ [0056] where X.sub.i and X.sub.j are points in the phase space; N is a number of points in the phase space; and H() is a Heaviside step function. [0057] 4) The correlation dimension D is calculated: A logarithm is taken for each distance threshold r and the correlation integral C(r), and a relation diagram of lnrlnC(r) is drawn. An interval with better linearity is selected for linear fitting, and finally a slope of a fitted straight line is calculated.

[00005]$\begin{array}{cc}D={\mathrm{lm}}_{r.fwdarw.}\frac{\ln C\left(r\right)}{\ln r}& \left(5\right)\end{array}$ [0058] Calculation results are shown in Table 3.

TABLE-US-00003 TABLE 3 Correlation dimensions of cutting coefficients in tests 1 to 9 Test 1 2 3 4 5 6 7 8 9 Correlation 4.239 3.9617 3.8956 4.5745 4.5385 4.6446 4.6624 4.9103 4.7751 dimension D

[0059] As shown in Table 2 and Table 3, it can be seen that the surface root mean square height Sq of the workpiece surface after being surface burnishing machined and the correlation dimension D of the cutting coefficient show an opposite corresponding relationship. As the surface root mean square height Sq increases, the correlation dimension D of the cutting coefficient decreases. As the surface root mean square height Sq decreases, the correlation dimension D of the cutting coefficient increases. The correlation dimension D of the cutting coefficient is calculated at equal time intervals, so that changes in surface roughness of workpieces under surface burnishing machining can be observed.

[0060] FIG. 7 shows a denoised cutting coefficient signal obtained by measuring in the three-factor and three-level orthogonal test. The process of the test was as follows: A surface burnishing machining test was performed based on Table 1-Orthogonal test table for surface burnishing machining. A cutting force signal during surface burnishing machining was measured and denoised, and a cutting coefficient of the surface burnishing machining was calculated based on formula (1). As can be seen from FIG. 7, changing trends of nine groups of cutting coefficients were similar, that is, rising first and finally tending to be gentle. The cutting coefficient signal is affected by a press-in depth of the tool head. In tests 7, 8 and 9, the press-in depth of the tool head was 0.06 mm, and the amplitude of the cutting coefficient ranged from 0.04 to 0.07. In tests 4, 5 and 6, the press-in depth of the tool head was 0.09 mm, and the amplitude of the cutting coefficient ranged from 0.04 to 0.06. In tests 1, 2 and 3, the press-in depth of the tool head was 0.12 mm, and the amplitude of the cutting coefficient ranged from 0.07 to 0.09.

[0061] FIG. 8 is a diagram showing a corresponding relationship between a surface root mean square height Sq and a correlation dimension D of a cutting coefficient. As can be seen from FIG. 8, the surface root mean square height Sq and a corresponding correlation dimension show an opposite change rule. When a curve of the correlation dimension shows a downtrend, a curve of the surface root mean square height Sq shows an uptrend. Therefore, the change trend of surface roughness of a sample is opposite to that of the correlation dimension. The correlation dimension D of the cutting coefficient is calculated at equal time intervals, so that changes in surface roughness of workpieces under surface burnishing machining can be observed.

[0062] A main operation process is as follows. High quality surface burnishing is performed on the surface of the irregular rotating workpiece: the intelligent surface burnishing tool 2 is fixedly mounted onto the lathe tool holder 1 via a bolt, and the laser displacement sensor 13 is fixedly mounted onto the intelligent surface burnishing tool 2 via a bolt; during surface burnishing machining, an output signal of the laser displacement sensor 13 is transmitted to the data processing center 6; the data processing center 6 is connected to the control center of the numerical control lathe; the control center of the numerical control lathe controls the intelligent surface burnishing tool 2 to follow in an axial direction based on the output signal of the laser displacement sensor 13, so as to keep a certain distance between a laser probe and a curved surface of the irregular rotating workpiece 3 being tested, so that when the intelligent surface burnishing tool 2 rolls the surface of the irregular rotating workpiece 3, a depth by which the burnishing ball head 14 is pressed into the surface of the irregular rotating workpiece 3 remains unchanged, realizing high-quality surface burnishing on the irregular rotating workpiece by the intelligent surface burnishing tool.

[0063] Vibration signal and three-direction cutting force measurement: before surface burnishing machining, in order to enable the first Y0 cut crystal group 27, the X0 cut crystal group 28 and the second Y0 cut crystal group 29 inside the cutting force sensing measurement section 11 to be in close contact with one another to improve their linearity and sensitivity, an elastic pre-tightening force is applied to the first Y0 cut crystal group 27, the X0 cut crystal group 28 and the second Y0 cut crystal group 29 by bolts; during surface burnishing machining, the vibration sensing unit 22 detects axial vibration and transmits the same in the form of electrical signals, and the first Y0 cut crystal group 27, the X0 cut crystal group 28 and the second Y0 cut crystal group 29 detect cutting forces in three directions and transmit the same in the form of electrical signals; the electrical signals are transmitted to the signal amplifier 4 via a wire, and the vibration signals are amplified by the signal amplifier 4 and then are transmitted to the data collector 5; the data collector 5 converts collected analog signals into digital signals and transmits the same to the data processing center 6; and finally collected signals are displayed in real time by the multi-parameter signal real-time monitoring system 7.

[0064] On-line sensing of changes in surface roughness: a cutting force signal during surface burnishing machining is measured by the cutting force sensing measurement section 11 in the intelligent surface burnishing tool 2; the cutting force signal is transmitted to the data processing center 6 through the signal amplifier 4 and the data collector 5; the data processing center 6 denoises the cutting force signal, calculates a cutting coefficient of a denoised signal, and finally calculates a correlation dimension of the cutting coefficient; the calculated correlation dimension is displayed in real time by the multi-parameter signal real-time monitoring system 7; and changes in surface roughness of the workpiece being machined are predicted by observing a change in the correlation dimension.

[0065] The above embodiments are only preferred embodiments of the present disclosure and do not limit the technical solutions of the present disclosure. Any technical solution that can be implemented on the basis of the above embodiments without creative efforts should be considered as falling within the scope of patent protection of the present disclosure.