AUTOMATIC HOLE-PROCESSING METHOD WITH SELF-ADAPTING ADJUSTMENT OF PROCESSING PARAMETERS

Abstract

Disclosed is an automatic hole-processing method with self-adapting adjustment of processing parameters, including the following steps: performing tool feeding, detecting whether the rotate speed changes or not, if changes, judging the type of the processing material according to the new rotate speed after stabilization (if not, the tool feeding is continued); feeding the tool according to the processing parameters suitable for the material, detecting whether the rotate speed changes or not, if changes, judging whether the hole processing has been completed or not according to the new rotate speed after stabilization (if not, the tool feeding is continued), if completed, retracting the tool with the set parameters (if not, judging the type of the processing material according to the new rotate speed after stabilization, and repeating the above steps), completing the hole processing. During the hole processing in the present disclosure, there is no need to know the type of workpiece material of each processing hole in advance and to set processing parameters for each material respectively; there is no need for axial tool setting, processing parameters can be changed automatically after the tool contacts the workpiece; there is no need to know the total thickness of each processing hole material in advance and to set the feed stokes respectively, after cutting through the workpiece, the tool automatically identifies and begins to retract.

Claims

1. An automatic hole-processing method with self-adapting adjustment of processing parameters, comprising the following steps: S1. starting a hole-processing apparatus, a tool on the apparatus carrying out a hole processing on a workpiece; S2. the tool rotating itself at a high speed, and forward feeding the tool with set processing parameters; S3. while forward feeding the tool, monitoring a rotate speed change of a tool driving device by using a sensor; if the rotate speed of the driving device changes, performing step S4; and if the rotate speed of the driving device does not change, performing step S2; S4. according to a new rotate speed after stabilization of the tool driving device, a controller judging a type of processing material of the workpiece, and automatically adjusting the processing parameters to adapt to the processing of the material; S5. the tool continuing to forward feed to process hole; S6. while forward feeding the tool, monitoring the rotate speed change of the tool driving device by using the sensor; if the rotate speed of the driving device changes, performing step S7; and if the rotate speed of the driving device does not change, performing step S5; S7. the controller judging whether the hole-processing process has been completed or not according to the new speed after stabilization of the tool driving device; if the hole-processing process has been completed, performing step S8; and if the hole-processing process has not been completed, performing step S4; and S8. retracting the tool with the set processing parameters to complete the hole-processing.

2. The method according to claim 1, wherein in step S4, the steps for judging the type of the processing material according to the new speed after stabilization of the tool driving device are as follows: the sensor measuring a real-time rotate speed n.sub.a, the controller comparing the collected new rotate speed n.sub.a after real-time stabilization of the tool driving device with n.sub.0 and n.sub.i one by one, automatically finding a value closest to n.sub.a; if the value closest to n.sub.0, the tool has not yet contacted the workpiece; and if the value closest to a certain value n.sub.i, the hole-processing apparatus is processing the workpiece material corresponding to n.sub.i at this time; wherein, n.sub.0 and n.sub.i can be obtained according to the following steps: S41. starting the hole-processing apparatus, the tool driving device rotating without load, the sensor measuring and recording a no-load rotate speed of n.sub.0 of the driving device at this time; S42. applying a variable and measurable torque on an output end of the tool driving device, starting the tool driving device to make it rotate, constantly adjusting a size of the applied torque, the sensor measuring the rotate speed n of the tool driving device corresponding to different torques, drawing a rotate speed-torque characteristic curve of the tool driving device according to the measured experimental data, and carrying out a mathematical function fitting to obtain a function T.sub.d=f(n), which is a function expression of an output torque T.sub.d of the tool driving device with respect to the rotate speed n of the tool driving device; S43. establishing a torque prediction model of the tool driving device in the process of hole-processing by using a cutting force model, obtaining a calculation equation T.sub.d=g(n,m,k) of the torque, wherein m is a coefficient related to the processing material, and k is other processing parameters except the rotate speed of the tool driving device; S44. combining the function T.sub.d=f(n) obtained in step S42 and the function T.sub.d=g(n,m,k) obtained in step S43 to obtain an equation f(n)=g(n,m,k); S45. before hole processing, counting up all the workpiece materials involved in the processing, determining corresponding coefficient m.sub.i (i=1, 2, 3 . . . ) for each material and other parameters except the rotate speed of the tool driving device, to obtain a corresponding coefficient k.sub.a at this time; and S46. substituting k=k.sub.a and m.sub.i into the equation f(n)=g(n,m,k) in step S44 to solve the rotate speed n.sub.i (i=1, 2, 3 . . . ) of the tool driving device corresponding to different materials, and inputting the rotate speed n.sub.i of the tool driving device corresponding to different materials into the controller.

3. The method according to claim 2, wherein the tool driving device is pneumatic spindle or a pneumatic motor.

4. The method according to claim 1, wherein a method for setting the processing parameters in step S2 is: through the tests and the experience of operating personnel, setting a set of processing parameters of lower feed speed, ensuring that the cutting process can be carried out smoothly and the processing quality can meet the requirements when the tool cutting into any material with this processing parameters.

5. The method according to claim 1, wherein in steps S3 and S6, a change of the rotate speed of the tool driving device refers to a stable and larger change, excluding a small fluctuation change of the rotate speed of the tool driving device caused by barometric fluctuation of the supply compressed air or a instability of the processing state.

6. The method according to claim 2, wherein a method for judging whether the hole-processing process has been completed or not according to the new rotate speed after the tool driving device is stable in step S7 is: during hole processing, the sensor measuring the real-time rotate speed n.sub.a of the driving device, the controller comparing the collected new rotate speed n.sub.a after the stabilization of the tool driving device in real time with n.sub.0; if it is closest to n.sub.0, the tool has cut through the workpiece, and the tool is no longer contacted to the workpiece, the hole processing has been completed, and the tool driving device returns to the no-load state.

7. The method according to claim 1, wherein a method for setting the processing parameters in step S8 is: through the tests and the experience of operating personnel, setting a set of processing parameters of higher feed speed, shortening a tool retracting time as far as possible and ensuring that there is no serious decline in the processing quality of the processed surface in the tool retracting.

8. The method according to claim 2, wherein the rotate speed-torque characteristic curve of the tool driving device obtained in step S42 also can be obtained by carrying out a processing test of variable parameter hole-processing; during the processing test, fixing the workpiece on a dynamometer which can measure the torque in processing, starting the hole-processing apparatus to carry out processing test with different parameters, and recording the torques measured by the dynamometer with different parameters and the rotate speeds of the driving device, so as to obtain the rotate speed-torque characteristic curve of the tool driving device.

9. The method according to claim 2, wherein in step S43, m is an array whose definition is determined according to the selected cutting force model; k is an array, including a tool diameter, an eccentricity, a feed speed, a revolution speed.

10. The method according to claim 2, wherein in step S45, m.sub.i is obtained through a cutting force coefficient calibration test or accessing to information.

11. The method according to claim 2, wherein in step S43, the torque of tool driving device during hole processing can also be obtained by a finite element compute simulation method.

12. The method according to claim 2, wherein in step S46, a solution of the equation can be carried out with the help of a computer through mathematical software.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art clearer, the drawings required in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following descriptions are some embodiments of the present disclosure. For those of ordinary skilled in the art, other drawings can be obtained based on these drawings without inventive effort.

[0053] FIG. 1 is a flow diagram of an automatic hole processing method with self-adapting adjustment of processing parameters in the embodiments of the present disclosure.

[0054] FIG. 2 is a schematic diagram of the cutting force analytical model based on the micro-element on the cutting edge of a helical milling cutter in embodiment 1 of the present disclosure.

[0055] FIG. 3 is a schematic diagram of the analytical model based on the infinitesimal cutting force on the cutting edge of the twist drill in embodiment 2 of the present disclosure.

DETAILED DESCRIPTION OF THE EMBODIMENTS

[0056] To make the objectives, technical solutions, and advantages of the present disclosure clearer, the following clearly and completely describes the technical solutions in the embodiments of the present disclosure with reference to the accompanying drawings in the embodiments of the present disclosure. Apparently, the described embodiments are merely some rather than all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative, and in no way serves as any limitation on the present invention and its application or use. Based on the embodiments of the present disclosure, all the other embodiments obtained by those of ordinary skill in the art without inventive effort are within the protection scope of the present disclosure.

[0057] As shown in FIG. 1, an automatic hole-processing method with self-adopting adjustment of processing parameters is suitable for hole processing of monolayer material, and also suitable for the laminated structure composed of different materials, such as carbon fiber reinforced resin matrix composite, aluminum alloy, titanium alloy, high-strength steel of material monolayer or a laminated structure composed of more than two materials of that. The direction terms mentioned in the present disclosure, such as “up, down, left, right”, are only directions of the accompanying drawings. Therefore, the direction terms are used to illustrate the present disclosure without limitation.

[0058] The present disclosure mainly utilizes the characteristic that the output rotate speed of the tool driving device (pneumatic motor or pneumatic spindle) decreases with the increase of the load when the supply compressed air pressure is at a certain value. During hole processing, before the tool contacting the workpiece or after cutting through the workpiece, the tool driving device is in a no-load state and the output rotate speed is the highest; and when the materials to-be-processed are different, the cutting force is different, the load on the tool driving device is different, so the rotate speed is different and is lower than the no-load rotate speed. According to the rotate speed after the stabilization of the tool driving device, it's can be judged that whether the current state is in a no-load state or not and which kind of material is being processed.

[0059] An automatic hole-processing method with self-adapting adjustment of processing parameters, including the following steps:

[0060] S1. starting a hole-processing apparatus, and a tool on the apparatus carrying out a hole processing on a workpiece;

[0061] S2. the tool rotating itself at a high speed, and forward feeding the tool with set processing parameters;

[0062] S3. while forward feeding the tool, monitoring a change of the rotate speed a tool driving device by using a sensor; if the rotate speed of the driving device changes, performing step S4; and if the rotate speed of the driving device does not change, performing step S2;

[0063] S4. according to a new rotate speed after stabilization of the tool driving device, a controller judging a type of processing material of the workpiece, and automatically adjusting the processing parameters to adapt to the processing of the material;

[0064] S5. the tool continuing to forward feed to process hole;

[0065] S6. while forward feeding the tool, monitoring the change of the rotate speed of the tool driving device by using the sensor; if the rotate speed of the driving device changes, performing step S7; and if the rotate speed of the driving device does not change, performing step S5;

[0066] S7. the controller judging whether the hole-processing process has been completed or not according to the new rotate speed after stabilization of the tool driving device; if the hole-processing process has been completed, performing step S8, and if the hole-processing process has not been completed, performing step S4; and

[0067] S8. retracting the tool with the set processing parameters to complete the hole processing.

[0068] In step S4, the steps for judging the type of the processing material according to the new rotate speed after stabilization of the tool driving device are as follows:

[0069] the sensor measuring a real-time rotate speed n.sub.a, the controller comparing the collected new rotate speed n.sub.a after real-time stabilization of the tool driving device with n.sub.0 and n.sub.i one by one, automatically finding a value closet to n.sub.a; if the value closet to n.sub.0, the tool has not yet contacted the workpiece; and if the value closet to a certain value n.sub.i, the hole-processing apparatus is processing the workpiece material corresponding to n.sub.i at this time;

wherein, n.sub.0 and n.sub.i can be obtained according to the following steps:

[0070] S41. starting the hole processing apparatus, the tool driving device rotating without load, and the sensor measuring and recording a no-load rotate speed n.sub.0 of the driving device at this time;

[0071] S42. applying a variable and measurable torque on an output end of the tool driving device, the staring the tool driving device to make it rotate, constantly adjusting a size of the applied torque, the sensor measuring a rotate speed n of the tool driving device corresponding to different torques, drawing a rotate speed-torque characteristic curve of the tool driving device according to the measured experimental data, and carrying out a mathematical function fitting to obtain a function T.sub.d=f(n), which is a function expression of an output torque T.sub.d of the tool driving device with respect to the rotate speed n of the tool driving device;

[0072] S.sub.43. establishing a torque prediction model of the tool driving device in the process of hole-processing by using a cutting force model, obtaining a calculation equation T.sub.d=g(n,m,k) of the torque, wherein m is a coefficient related to the processing material, and k is other processing parameters except the rotate speed of the tool driving device;

[0073] S44. combining the function T.sub.d=f(n) obtained in step S42 and the function T.sub.d=g(n,m,k) obtained in step S43 to obtain an equation f(n)=g(n,m,k);

[0074] S45. before hole processing, counting up all the workpiece materials involved in the processing, determining corresponding coefficient m.sub.i (i=1, 2, 3 . . . ) for each material and other parameters except the rotate speed of the tool driving device, to obtain a corresponding coefficient k.sub.a at this time; and

[0075] S46. substituting k=k.sub.a and m.sub.i into the equation f(n)=g(n,m,k) in step S44 to solve the rotate speed n.sub.i (i=1, 2, 3 . . . ) of the tool driving device corresponding to different materials, and inputting the rotate speed n.sub.i of the tool driving device corresponding to different materials into the controller.

[0076] Steps S41 to S46 also can be performed before step S1 or step S4.

Embodiment 1

[0077] An automatic hole-processing method with self-adapting adjustment of processing parameters, the workpiece to-be-processed is a laminated structure of carbon fiber reinforced resin matrix composite and titanium alloy material, the hole-processing apparatus is a portable helical milling unit, and the hole-processing tool is a helical milling cutter. The method has the following steps:

[0078] S1. the portable helical milling device is started, the tool driving device rotates without load, the portable helical milling device integrated with an encoder for measuring the rotate speed of the tool driving device, measuring and recording the no-load rotate speed n.sub.0 of the tool driving device at this time.

[0079] S2. a torque sensor and a damper are connected in series on the output end of the tool driving device of the portable helical milling device; the tool driving device of the portable helical milling device is started to make it rotate, and the damper is constantly adjusted to change the applied load, the accurate value of the output torque of the tool driving device at this time is measured by the torque sensor, and the encoder the portable helical milling device comes with is used to measure the rotate speed n of the tool driving device corresponding to different torques. According to the measured experimental data, the rotate speed-torque characteristic curve of the tool driving device of the portable helical milling device is drawn, and the mathematical function fitting is carried out to obtain a function T.sub.d=f(n) which is a function expression of the output torque T.sub.d of the tool driving device with respect to the rotate speed n of the tool driving device.

[0080] S3. the cutting force model is used to establish the torque prediction model of the tool driving device in the helical milling process, and a calculation equation T.sub.d=g(n,m,k) of the torque is deduced, wherein m is a coefficient related to the processing material, and k is other processing parameters except the rotate speed of the tool driving device.

[0081] The cutting force model is an cutting force analytical model based on the micro-element on the cutting edge of the helical milling cutter.

[0082] As shown in FIG. 2, the formulas of the cutting force analytical model are as follows:

[0083] The tangential cutting force dF.sub.pt, the radial cutting force dF.sub.pr and the axial cutting force dF.sub.pa of an infinitesimal on a circumferential edge, and the tangential cutting force dF.sub.bt, the radial cutting force dF.sub.br and the axial cutting force dF.sub.ba of an infinitesimal on an end edge are respectively obtained. The analytical models of the infinitesimal cutting force on the circumferential edge and the end edge can be respectively expressed as follows:

[00001]$\{\begin{array}{c}d{F}_{p}t=K_{\mathrm{tcp}}{h}_{p}dz+K_{\mathrm{tep}}dz\\ d{F}_{pr}=K_{rcp}{h}_{p}dz+K_{rep}dz\\ d{F}_{pa}=K_{acp}{h}_{p}dz+K_{aep}dz\end{array}\{\begin{array}{c}d{F}_{bt}=K_{tcb}{h}_{b}dr+K_{teb}dr\\ d{F}_{br}=K_{rcb}{h}_{b}dr+K_{reb}dr\\ d{F}_{ba}=K_{acb}{h}_{b}dr+K_{aeb}dr\end{array}$

wherein, K.sub.tcp, K.sub.rcp and K.sub.acp represent the action coefficients of tangential, radius and axial force due to the deformation action on the circumferential edge; K.sub.tep, K.sub.rep and K.sub.aep represent the action coefficients of tangential, radius and axial force due to the friction action on the circumferential edge; K.sub.tcb, K.sub.reb and K.sub.acb represent the action coefficients of tangential, radius and axial force due to the deformation action on the end edge; K.sub.teb, K.sub.reb and K.sub.aeb represent the action coefficients of tangential, radius and axial force due to the friction action on the end edge; h.sub.p and h.sub.b respectively represent the thickness of the undeformed chip on the current circumferential edge and end edge; and d.sub.z and d.sub.r respectively represent the width of the infinitesimal on the circumferential edge and the end edge.

[0084] The m is the coefficient related to the processing material, including the action coefficients K.sub.tcp and K.sub.tcb of the tangential force produced by the deformation action on the circumferential edge and the end edge respectively, and the action coefficients K.sub.tep and K.sub.teb of the tangential force produced by the friction action on the circumferential edge and the end edge respectively, which is calibrated by cutting force experiment, and expressed as:

m={K.sub.tcp,K.sub.tep,K.sub.tcb,K.sub.teb}

[0085] The k is other processing parameters except the rotate speed of the tool driving device, including the diameter D.sub.c of the helical milling cutter, the teeth number N of the helical milling cutter, the helical angle β of the helical milling cutter, the eccentricity e, the feed speed f.sub.a and the revolution speed n.sub.p, which is expressed as:

k={D.sub.c,N,β,e,f.sub.a,n.sub.p}.

[0086] The calculation equation of the thickness h.sub.p of the undeformed cutting chip of the infinitesimal on the circumferential edge is:

h.sub.p=f.sub.zt sin(φ.sub.i),

wherein the calculation equation of the tangential feeding amount per teeth f.sub.zt is:

[00002]$f_{zt}=\frac{2\pi e.Math.n_p}{n.Math.N},$

[0087] The calculation equation of the instantaneous working pressure angle φ of the i.sup.th cutting edge is:

[00003]${\phi }_i=\left(i-1\right).Math.{\phi }_p-\frac{2\tan \beta }{D_c}.Math.i.Math.\mathrm{dz},$

wherein, φ.sub.i is a tooth spacing angle of the helical milling cutter, and φ.sub.p=2π/N.

[0088] The calculation equation of the thickness h.sub.b of the undeformed cutting chip of the infinitesimal on the end edge is:

h.sub.b=f.sub.za,

wherein the calculation equation of the axial feeding amount per teeth of f.sub.za is:

[00004]$f_{\mathrm{za}}=\frac{f_a}{n.Math.N}.$

[0089] The equation deducing the torque equation T.sub.d=g(n,m,k) is as follows: In the process of helical milling, among the cutting force generated by the circumferential edge, the tangential cutting force dF.sub.pt contributes to the torque generation, the above formulas are substituted into the expression of the tangential cutting force dF.sub.pt of the circumferential edge infinitesimal of the helical milling, and the torque dT.sub.p generated by the tangential cutting force dF.sub.pt of the circumferential edge infinitesimal is obtained and expressed as:

[00005]$d{T}_p=\left(K_{\mathrm{tep}}\frac{2\pi e.Math.n_p}{n.Math.N}\sin \left(\left(i-1\right).Math.\frac{2\pi }{N}-\frac{2\tan \beta }{D_c}.Math.i.Math.\mathrm{dz}\right)+K_{\mathrm{tep}}\right)\times R_c\mathrm{dz}.$

[0090] In the process of helical milling, among the cutting force generated by the end edge, the tangential cutting force dF.sub.bt contributes to the torque generation, the above formulas are substituted into the expression of the tangential cutting force dF.sub.bt of the end edge infinitesimal of the helical milling, and the torque dT.sub.b generated by the tangential cutting force dF.sub.bt of the end edge infinitesimal is obtained and expressed as:

[00006]$d{T}_b=\left(K_{tcb}\frac{f_a}{n.Math.N}+K_{teb}\right)\times rdr,$

wherein, r is a distance between the infinitesimal on the end edge and the center of the tool.

[0091] According to the above calculation results, the calculation model of torque in the helical milling process in a certain processing state is obtained and expressed as:

T=∫.sub.0.sup.a.sup.pdT.sub.p+∫.sub.0.sup.R.sup.cdT.sub.b,

wherein, a.sub.p is a lead, and the calculation equation is a.sub.p=f.sub.a/n.sub.p.

[0092] dT.sub.p and dT.sub.b are respectively substituted into the above equation, and the obtained torque model is a multivariate function, which is expressed as:

[00007]$T={\int }_0^{a_p}\left(K_{\mathrm{tcp}}\frac{2\pi e.Math.n_p}{n.Math.N}\sin \left(\left(i-1\right).Math.\frac{2\pi }{N}-\frac{2\tan \beta }{D_c}.Math.i.Math.\mathrm{dz}\right)+K_{\mathrm{tep}}\right)\times R_c\mathrm{dz}+{\int }_0^{R_c}\left(K_{\mathrm{tcb}}\frac{f_a}{n.Math.N}+K_{\mathrm{teb}}\right)\times \mathrm{rdr}.$

[0093] By considering all cutter teeth participating in the cutting, the instantaneous moment of force in the global workpiece coordinate system can be expressed as:

[00008]$T_d=g\left(n,m,k\right)=\underset{i=1}{\overset{N}{.Math.}}g({\phi }_i){\int }_0^{a_p}\left(K_{\mathrm{tep}}\frac{2\pi e.Math.n_p}{n.Math.N}\sin \left(\left(i-1\right).Math.\frac{2\pi }{N}-\frac{2\tan \beta }{D_c}.Math.j.Math.\mathrm{dz}\right)+K_{\mathrm{tep}}\right)\times R_c\mathrm{dz}+\underset{i=1}{\overset{N}{.Math.}}{\int }_0^{R_c}\left(K_{tcb}\frac{f_a}{n.Math.N}+K_{\mathrm{teb}}\right)\times \mathrm{rdr},$

which is the calculation equation of the torque;
wherein g(φ.sub.i) is a window function, which is used to judge whether the current cutting edge participates in cutting or not; the cutting-in angle of the cutting edge infinitesimal of the helical milling cutter is set as φ.sub.en, and the cutting-out angle is set as φ.sub.ex, and expressed as:

[00009]$g\left({\phi }_1\right)=\{\begin{array}{cc}1,& {\phi }_{\mathrm{en}}\le {\phi }_1\le {\phi }_{\mathrm{ex}}\\ 0,& \mathrm{others}\end{array}.$

[0094] S4. the equation T.sub.d=f(n) obtained in step S2 and the equation T.sub.d=g(n,m,k) obtained in step S3 are combined to obtain an equation f(n)=g(n,m,k), which is expressed as:

[00010]$f\left(n\right)=\underset{i=1}{\overset{N}{.Math.}}g\left({\phi }_i\right){\int }_0^{a_p}\left(K_{\mathrm{tcp}}\frac{2\pi e.Math.n_p}{n.Math.N}\sin \left(\left(i-1\right).Math.\frac{2\pi }{N}-\frac{2\tan \beta }{D_c}.Math.j.Math.\mathrm{dz}\right)+K_{\mathrm{tep}}\right)\times R_c\mathrm{dz}+\underset{i=1}{\overset{N}{.Math.}}{\int }_0^{R_c}\left(K_{\mathrm{tcb}}\frac{f_a}{n.Math.N}+K_{\mathrm{teb}}\right)\times \mathrm{rdr}.$

[0095] S5. before helical milling processing, for carbon fiber reinforced resin matrix composite and titanium alloy material, the cutting force coefficients are calibrated to obtain the corresponding {K.sub.tcp,K.sub.tep,K.sub.tcb,K.sub.teb}, thus the corresponding coefficients are determined as m.sub.1 and m.sub.2 respectively. Because the diameter D.sub.c of the helical milling cutter, the teeth number N of the helical milling cutter, the helical angle β of the helical milling cutter, the eccentricity e, the feeding speed f.sub.a and the revolution speed n.sub.p have been determined, k.sub.a={D.sub.cN,β,e,f.sub.a,n.sub.p} is obtained;

[0096] S6. k=k.sub.a and m.sub.1, m.sub.2 are respectively substituted into the equation f(n)=g(n,m,k) in step S4, the rotate speeds of n.sub.1 and n.sub.2 of the tool driving device corresponding to different materials are solved by computer through mathematical software (such as MATLAB), that is, respectively corresponding to the spindle rotate speeds of carbon fiber reinforced resin matrix composite and titanium alloy; and n.sub.1 and n.sub.2 are input into the controller;

[0097] S7. the portable helical milling unit is started, on which the helical milling cutter is used to process holes for the laminated structure workpiece;

[0098] S8. the helical milling cutter rotates at a high speed, forward feeding with the set processing parameters;

[0099] S9. while the helical milling cutter forward feeds, the sensor is used to monitor the change of the rotate speed of the tool driving device; if the rotate speed of the tool driving device changes, step S10 is performed; and if the rotate speed of the tool driving device does not change, step S8 is performed;

[0100] S10. the sensor measures the new rotate speed n.sub.a of the tool driving device after stabilization, the controller compares the collected new rotate speed n.sub.a after the tool driving device is stable with n.sub.1 and n.sub.2 in step S6 and n.sub.0 in step S1, automatically finds the closest n.sub.1 and thereby judges that the processing material at this time is carbon fiber reinforced resin matrix composite, and automatically adjusts the processing parameters to adapt to the processing of the material;

[0101] S11. the helical milling cutter continues to forward feed to process hole;

[0102] S12. while the helical milling cutter forward feeds, the sensor is used to monitor the change of the rotate speed of the tool driving device; if the rotate speed of the tool driving device changes, step S13 is performed; and if the rotate speed of the tool driving device does not change, step S11 is performed;

[0103] S13. the sensor measures the new rotate speed n′.sub.a of the tool driving device after stabilization, the controller compares the collected new rotate speed n′.sub.a after the tool driving device is stable with n.sub.1 and n.sub.2 in step S6 and n.sub.0 in step S1, automatically finds the closest n.sub.2 and thereby judges that the processing material at this time is titanium alloy material, and automatically adjusts the processing parameters to adapt to the processing of the material;

[0104] S14. the helical milling cutter continues to forward feed to process hole;

[0105] S15. while the helical milling cutter forward feeds, the sensor is used to monitor the change of the rotate speed of the tool driving device; if the rotate speed of the tool driving device changes, step S16 is performed; and if the rotate speed of the tool driving device does not change, step S14 is performed;

[0106] S16. the sensor measures the new rotate speed n″.sub.a of the tool driving device after stabilization, the controller compares the collected new rotate speed n″.sub.a after the tool driving device is stable with n.sub.1 and n.sub.2 in step S6 and n.sub.0 in step S1, automatically finds the closest n.sub.0; at this time, the output rotate speed of the tool driving device is no-load speed, then the hole-processing process is completed, and the controller controls the helical milling cutter to retract the tool with the set processing parameters, and the hole processing process is completed.

Embodiment 2

[0107] An automatic hole-processing method with self-adapting adjustment of processing parameters, the workpiece to-be-processed is a laminated structure of carbon fiber reinforced resin matrix composite and titanium alloy material, the hole-processing apparatus is ADU (Advanced Drilling Unit), and the hole processing tool is a twist drill. The method has the following steps:

[0108] S1. the ADU is started and the tool driving device rotates without load, the ADU integrated with an encoder for measuring the rotate speed of the tool driving device, measuring and recording the no-load rotate speed n.sub.0 of the tool driving device at this time.

[0109] S2. a torque sensor and a damper are connected in series on the output end of the tool driving device of the ADU, and the tool driving device of the ADU is started to rotate; the damper is constantly adjusted to change the applied load, the accurate value of the output torque of the tool driving device at this time is measured by the torque sensor, and the encoder the ADU comes with is used to measure the rotate speed n of the tool driving device corresponding to different torques; according to the measured experimental data, the rotate speed-torque characteristic curve of the tool driving device of the ADU is drawn, and the mathematical function fitting is carried out to obtain a function T.sub.d=f(n), which is a function expression of the output torque T.sub.d of the tool driving device with respect to the rotate speed n of the tool driving device.

[0110] S3. the cutting force model is used to establish the torque prediction model of the tool driving deice in the drilling process, and a calculation equation of the torque T.sub.d=g(n,m,k) is obtained, wherein m is a coefficient related to the processing material, and k is other processing parameters except the rotate speed of the tool driving device.

[0111] The cutting force model is an cutting force analytical model based on the infinitesimal on the cutting edge of the twist drill.

[0112] As shown in FIG. 3, the equation of the cutting force analytical model of the infinitesimal are as follows:

[0113] The cutting force of the twist drill is generated by the chisel edge and the primary cutting edge. Since the moment of the force generated by the chisel edge can be ignored, only the primary cutting edge is calculated to obtain the tangential cutting force dF.sub.t and the radial cutting force dF.sub.f of the infinitesimal on the cutting edge, and the cutting force dF.sub.r in the cutting flow direction. The cutting force analytical model of the infinitesimal can be expressed as follows:

[00011]$\{\begin{array}{c}d{F}_t=K_{tc}h\Delta b+K_{te}\Delta b\\ d{F}_r=K_{rc}h\Delta b+K_{re}\Delta b\\ d{F}_f=K_{fc}h\Delta b+K_{fe}\Delta b\end{array}\hspace{1em}$

wherein, K.sub.tc, K.sub.rc, and K.sub.fc represent cutting force coefficients, which are obtained by mathematical formula; K.sub.te, K.sub.re and K.sub.fe represent cutting edge force coefficients, which are obtained by experiment; h represents the cutting chip thickness removed by each infinitesimal on the primary cutting edge; and Δb represents the cutting chip width removed by each infinitesimal on the primary cutting edge.

[0114] The m is the coefficient related to the processing material, including the cutting force coefficient K.sub.tc and the cutting edge force coefficient K.sub.te in the tangential direction, which is calibrated through mathematical calculation and cutting force experiment and expressed as:

m={K.sub.tc,K.sub.te}

The k is other processing parameters except the spindle rotate speed, including the half peak angle κ.sub.t of the twist drill, the feeding rate c when the drill bit feeding into the material, the offset w of the drill core deviating from the axis of the drill bit, the chisel edge angle φ.sub.c, the length b of the primary cutting edge of the cutting workpiece material, which is expressed as:

k={κ.sub.t,c,w,φ.sub.c,b}

The calculation equation of the cutting chip thickness h removed by each infinitesimal on the primary cutting edge is:

[00012]$h=\frac{c}{2}\sin {\kappa }_t$

[0115] The calculation equation of the cutting chip width Δb removed by each infinitesimal on the primary cutting edge is:

[00013]$\Delta b=\frac{\mathrm{dz}}{\cos {\kappa }_t}$

wherein dz represents the cutting chip height removed by each infinitesimal on the primary cutting edge.

[0116] The equation deducing the torque calculation equation T.sub.d=g(n,m,k) is as follows:

[0117] During the drilling process, among the cutting force generated by the primary cutting edge, the tangential cutting force of dF.sub.t contributes to the torque generation, the above formulas are substituted into the expression of the tangential cutting force dF.sub.t of the infinitesimal on the drilling hole primary cutting edge, and the torque dT generated by the tangential cutting force dF.sub.t of the infinitesimal on the primary cutting edge is obtained and expressed as:

dT=dF.sub.t×r,

wherein r is the radial distance between the infinitesimal and the drill bit axis, expressed as:

r=√{square root over (w.sup.2+[w cot(π−φ.sub.c)+z tan κ.sub.t].sup.2,)}

then, the torque dT generated by the tangential cutting force dF.sub.t of the infinitesimal on the primary cutting edge is:

[00014]$dT=\left(K_{tc}\frac{c\sin {\kappa }_t}{2\cos {\kappa }_t}+\frac{K_{te}}{\cos {\kappa }_t}\right)\sqrt{w^2+{\left[w\cot \left(\pi -{\phi }_c\right)+z\tan {\kappa }_t\right]}^2}dz,$

wherein z represents the height of the infinitesimal on the primary cutting edge.

[0118] According to the above calculation results, the calculation model of the torque in the drilling process under a certain processing state is obtained, which is expressed as:

[00015]$T_d=2\underset{m=1}{\overset{M}{.Math.}}\mathrm{dT},$

wherein M is the total number of the infinitesimals on the primary cutting edge, and the equation is M=b/Δb.

[0119] dT is substituted into the above equation, and the obtained torque model is a multivariate function expressed as:

[00016]$T_d=g\left(n,m,k\right)=2\underset{m=1}{\overset{M}{.Math.}}\left(K_{\mathrm{tc}}\frac{c\sin {\kappa }_t}{2\cos {\kappa }_t}+\frac{K_{\mathrm{te}}}{\cos {\kappa }_t}\right)\sqrt{w^2+{\left[w\cot \left(\pi -{\phi }_c\right)+z\tan {\kappa }_t\right]}^2}\mathrm{dz},$

which is the deduced calculation equation of the torque;

[0120] S4. the equation T.sub.d=f(n) obtained in step S2 and the equation T.sub.d=g(n,m,k) obtained in step S3 are combined to obtain an equation f(n)=g(n,m,k), expressed as:

[00017]$f\left(n\right)=2\underset{m=1}{\overset{M}{.Math.}}\left(K_{\mathrm{tc}}\frac{c\sin {\kappa }_t}{2\cos {\kappa }_t}+\frac{K_{\mathrm{te}}}{\cos {\kappa }_t}\right)\sqrt{w^2+{\left[w\cot \left(\pi -{\phi }_c\right)+z\tan {\kappa }_t\right]}^2}\mathrm{dz}.$

[0121] S5. before drilling, for carbon fiber reinforced resin matrix composite and titanium alloy material, the cutting force coefficients are calibrated respectively to obtain the corresponding {K.sub.tc, K.sub.te}, thus the corresponding coefficients are determined as m.sub.1 and m.sub.2 respectively. Because the half peak angle κ.sub.t of the twist drill, the feed rate c when the drill bit feeding into the material, the offset w of the drill core deviating from the axis of the drill bit, the transverse edge angle φ.sub.c, and the length b of the primary cutting edge of the cutting workpiece material have been determined, the equation k.sub.a={κ.sub.t,c,w,φ.sub.c,b} is obtained;

[0122] S6. k=k.sub.a and m.sub.1, m.sub.2 are respectively substituted into the equation f(n)=g(n,m,k) in step S4, the rotate speed n.sub.1 and n.sub.2 of the tool driving device corresponding to different materials are solved by computer through mathematical software (such as MATLAB), that is, respectively corresponding to the spindle rotate speeds of carbon fiber reinforced resin matrix composite and titanium alloy, and n.sub.1 and n.sub.2 are input into the controller;

[0123] S7. the ADU is started, on which the twist drill is used to process holes for the laminated structure workpiece;

[0124] S8. the twist drill rotates at a high speed, forward feeding with the set processing parameters.

[0125] S9. while the twist drill forward feeds, the sensor is used to monitor the change of the rotate speed of the tool driving device; if the rotate speed of the tool driving device changes, step S10 is performed; and if the rotate speed of the tool driving device does not change, step S8 is performed;

[0126] S10. the sensor measures the new rotate speed n.sub.a of the tool driving device after stabilization, the controller compares the collected new rotate speed n.sub.a after the tool driving device is stable with n.sub.1 and n.sub.2 in step S6 and n.sub.0 in step S1, automatically finds the closest n.sub.1 and thereby judges that the processing material at this time is carbon fiber reinforced resin matrix composite, and automatically adjusts the processing parameters to adapt to the processing of the material;

[0127] S11. the twist drill continues to forward feed to process hole;

[0128] S12. while twist drill forward feeds, the sensor is used to monitor the change of the rotate speed of the tool driving device; if the rotate speed of the tool driving device changes, step S13 is performed; and if the rotate speed of the tool driving device does not change, step S11 is performed;

[0129] S13. the sensor measures the new rotate speed n′.sub.a of the tool driving device after stabilization, the controller compares the collected new rotate speed n′.sub.a after the tool driving device is stable with n.sub.1 and n.sub.2 in step S6 and n.sub.0 in step S1, automatically finds the closest n.sub.2 and thereby judges that the processing material at this time is titanium alloy material, and automatically adjusts the processing parameters to adapt to the processing of the material;

[0130] S14. the twist drill continues to forward feed to process hole;

[0131] S15. while the twist drill forward feeds, the sensor is used to monitor the change of the rotate speed of the tool driving device; if the rotate speed of the tool driving device changes, step S16 is performed; and if the rotate speed of the tool driving device does not change, step S14 is performed.

[0132] S16. the sensor measures the new rotate speed n″.sub.a of the tool driving device after stabilization, the controller compares the collected new rotate speed n″.sub.a after the tool driving device is stable with n.sub.1 and n.sub.2 in step S6 and n.sub.0 in step S1, and automatically finds the closest n.sub.0; at this time, the output rotate speed of the tool driving device is no-load speed, then the hole-processing process is completed, and the controller controls the helical milling cutter to retract the tool with the set processing parameters, and the hole processing process is completed.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure without limiting; although the present disclosure is described in detail with reference to some embodiments, the ordinary skilled in the art should understand that they may still make amendments to the technical solutions disclosed in the embodiments, or make equal replacements for some or all of their technical characteristics; these amendments or replacements do not remove the essence of the corresponding technical solutions from the scope of the technical solutions of the present disclosure.