JP2008114333A - Method, apparatus, and program for optimizing feed rate - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a feed rate optimizing device capable of optimizing feed rate suitable for finishing. <P>SOLUTION: A control part 3 of the feed rate optimizing device 1 calculates cut amount for each micro-zone of a tool passage by using work shape information, tool shape information, and tool path information before process, and determines the first feed rate corresponding to the cut amount. Besides, the device generates a lattice 205 in three dimensional space including a tool path 201, and outputs the mean value of the first feed rate in a micro zone group sampled based on the micro zone sampling conditions by a direction cosine among the micro zone groups included in the lattice 205 adjacent to the lattice 205 including the specific micro zone 203. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to machining analysis of cutting, and particularly relates to a feed speed optimization device, feed speed optimization method, and program for optimizing a feed speed.

NC (Numerical Control) machine tools are generally used in machining operations such as dies. The machining operation of the NC machine tool is determined by performing shape design using a CAD (Computer Aided Design) system, process design using a CAM (Computer Aided Manufacturing) system, or the like.
Furthermore, in recent years, cutting load analysis, interference detection, and the like are performed based on NC data created by a CAM system or the like as prior verification of machining operations. This prevents machining troubles and shortens the machining time.
Patent Documents 1, 2, and 3 are known as mechanisms for adjusting cutting conditions in order to achieve such an object.
JP 2002-200540 A JP 2002-233930 A Japanese Patent Laid-Open No. 2001-9672

  However, all remain limited to local optimization on the tool path and do not consider optimization on the entire tool path. For this reason, the change point of the feed speed increases on the tool path, the vibration of the processing machine is generated, and it cannot be applied to the finishing process for smoothing the surface.

The present invention has been made in view of the above-described problems, and an object of the present invention is to provide a feed speed optimizing device capable of optimizing a feed speed suitable for finishing.
In order to achieve the above-described object, the first invention calculates a cutting amount for each minute section of the tool path using the workpiece shape information, the tool shape information, and the tool path information before processing, and according to the cutting amount. First feed speed determining means for determining the first feed speed, means for dividing a three-dimensional space including the tool path into unit microspaces, the unit microspace including the specific microsections and adjacent ones An optimum feed speed determining means for determining an average value of the first feed speeds of the minute section group extracted from the unit minute space according to the minute section extraction condition as an optimum feed speed for the specific minute section; A feed speed optimizing device characterized by comprising:
The minute section is a section obtained by dividing the tool path into an arbitrary minute size. The unit minute space is a space that divides a three-dimensional space including the tool path into the same size.

  Further, the optimum feed speed determining means classifies the first minute section group included in the specific unit minute space into a second minute section group according to the minute section extraction condition, and the second minute section group; Second feed speed determining means for determining an average value of the first feed speeds of the minute section group as a second feed speed for the second minute section group, and the unit minute section including the specific minute section. Means for extracting a fourth minute section group from the third minute section group included in the space and the adjacent unit minute space according to the minute section extraction condition; and the second minute section group in the second minute section group. It is desirable to include a third feed speed determining means for determining an average value of the feed speeds as the optimum feed speed for the specific minute section.

Furthermore, it is preferable that the minute section extraction condition is determined by a direction cosine of the minute section.
The direction cosine is a unit direction vector connecting the start point and the end point of a minute section in the tool path.

The optimum feed rate determination means can optimize the feed rate over the entire tool path.
In addition, the optimum feed speed determining means can optimize the feed speed at high speed by including the second feed speed determining means and the third feed speed determining means.
Furthermore, the feed rate can be optimized while preventing damage to the tool and the like by determining the minute section extraction condition by the direction cosine of the minute section.

  The second invention calculates the cutting amount for each minute section of the tool path using the workpiece shape information, the tool shape information, and the tool path information before processing, and determines the first feed speed according to the cutting amount. Extracting from the unit microspace including the specific microsection and the adjacent unit microspace in accordance with a microsection extraction condition. And determining an average value of the first feed speeds of the minute section group as an optimum feed speed for the specific minute section.

  Further, the step of determining the optimum feed speed is classified into a second minute section group according to the minute section extraction condition from the first minute section group included in the specific unit minute space; Determining an average value of the first feed speeds of the second micro section group as a second feed speed for the second micro section group, the unit micro space including the specific micro section, and an adjacent unit Extracting a fourth minute section group from the third minute section group included in the unit minute space according to the minute section extraction condition; and the second feed speed of the fourth minute section group. And determining an average value of as an optimum feed speed for the specific minute section.

  Furthermore, it is preferable that the minute section extraction condition is determined by a direction cosine of the minute section, and includes the feed speed optimization method according to claim 4 or 5.

  Furthermore, it is preferable that the minute section extraction condition is determined by a direction cosine of the minute section.

  A third invention is a program for causing a computer to function as the feed speed optimization device according to any one of claims 1 to 3.

  According to the present invention, it is possible to provide a feed speed optimizing device capable of optimizing a feed speed suitable for finishing.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

FIG. 1 is a hardware configuration diagram of a computer that realizes a feed speed optimizing apparatus 1 according to the present embodiment.
The feed speed optimization device 1 includes a control unit 3, a storage unit 5, a media input / output unit 7, a communication control unit 9, an input unit 11, a display unit 13, a peripheral device I / F unit 15, etc. via a bus 17. Connected.

  The control unit 3 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like.

The CPU calls and executes a program stored in the storage unit 5, ROM, recording medium, etc. to a work memory area on the RAM, drives and controls each device connected via the bus 17, and feed speed optimization device 1 (see FIG. 3, FIG. 7, FIG. 8) described later is performed.
The ROM is a non-volatile memory and permanently holds a computer boot program, a program such as BIOS, data, and the like.
The RAM is a volatile memory, and temporarily stores programs, data, and the like loaded from the storage unit 5, ROM, recording medium, and the like, and includes a work area used by the control unit 3 for performing various processes.

The storage unit 5 is an HDD (hard disk drive), and stores a program executed by the control unit 3, data necessary for program execution, an OS (operating system), and the like. As for the program, a control program corresponding to an OS (operating system) and an application program corresponding to processing described later are stored.
Each of these program codes is read by the control unit 3 as necessary, transferred to the RAM, read by the CPU, and executed as various means.

  The media input / output unit 7 (drive device) inputs / outputs data, for example, floppy (registered trademark) disk drive, PD drive, CD drive (-ROM, -R, RW, etc.), DVD drive (-ROM, -R, -RW, etc.) and a media input / output device such as an MO drive.

  The communication control unit 9 includes a communication control device, a communication port, and the like, and is a communication interface that mediates communication between the computer and the network 19, and performs communication control between other computers via the network 19.

The input unit 11 inputs data and includes, for example, a keyboard, a pointing device such as a mouse, and an input device such as a numeric keypad.
An operation instruction, an operation instruction, data input, and the like can be performed on the computer via the input unit 11.

  The display unit 13 includes a display device such as a CRT monitor and a liquid crystal panel, and a logic circuit (such as a video adapter) for realizing a video function of the computer in cooperation with the display device.

  The peripheral device I / F (interface) unit 15 is a port for connecting a peripheral device to the computer, and the computer transmits and receives data to and from the peripheral device via the peripheral device I / F unit 15. The peripheral device I / F unit 15 is configured by USB, IEEE 1394, RS-232C, or the like, and usually has a plurality of peripheral devices I / F. The connection form with the peripheral device may be wired or wireless.

  The bus 17 is a path that mediates transmission / reception of control signals, data signals, and the like between the devices.

Next, the configuration of the feed speed optimization device 1 will be described with reference to FIG.
FIG. 2 is a schematic configuration diagram of the feed speed optimization device 1.

  The feed speed optimizing device 1 includes a workpiece shape information before machining, tool shape information, tool path information input means 21, a first feed speed determination means 23, a dividing means 25 into unit minute spaces, and a minute section classification means. 27, second feed speed determining means 29, minute section extracting means 31, third feed speed determining means 33, optimum feed speed output means 35, database 37 and the like.

The workpiece shape information before machining, tool shape information, and tool path information input means 21 inputs information on the shape of the workpiece to be machined before machining, information on the cutting edge shape of the tool, and information on the tool path being machined. To do.
As the workpiece shape information and tool shape information, for example, a shape analysis model such as a prism model (also referred to as a VOXEL model or a Zmap model) or a marching cube is known. In the present invention, any model may be applied.
For example, in the prism model, the work amount or tool shape is approximated by a collection of prisms, and the cutting amount is calculated by performing the collective calculation of the part where the work and the tool overlap on the tool path, that is, the work to be cut by the tool. To do.
Data may be input via the input unit 11. Further, the media input / output unit 7 may be used. Further, data may be transmitted from another computer via the network 19.

The first feed rate determining means 23 calculates a cutting amount from the input workpiece shape information, tool shape information, and tool path information before processing, and determines a first feed rate according to the cutting amount.
The cutting amount is, for example, a cutting volume, a cutting cross-sectional area, a chip thickness, a tool contact area, or the like.
The first feed rate is calculated in consideration of prevention of tool damage, improvement of machining efficiency, etc. from the cutting volume per blade rotation, maximum chip thickness, chip arc length, cutting angle, etc. It is.
The first feed speed is determined for each minute section by dividing the tool path into minute sections.
In the present invention, the first feed speed determining means 23 is a cutting condition determining means conventionally performed. The cutting condition determining means includes, for example, the means proposed in Japanese Patent No. 3692981, but any means may be used as long as the first feed speed is optimized for each minute section.

The dividing unit 25 into the unit minute space divides the three-dimensional space including the tool path by generating a lattice as the unit minute space. The size and number of lattices can be arbitrarily set.
The lattice is registered in the database 37 together with a small section of the included tool path.

  The minute section classification means 27 classifies the minute section group included in the specific lattice according to the minute section extraction condition. That is, with reference to the database 37, it classify | categorizes into the group of a some micro area group for every grating | lattice.

The second feed speed determining means 29 calculates an average value of the first feed speeds of the minute section groups classified by the minute section classifying means 27 and determines it as the second feed speed.
The second feed speed is registered in the database 37 for each classified minute section group.

  The minute section extraction means 31 extracts a minute section group from the minute section group included in the lattice adjacent to the lattice including the specific minute section according to the minute section extraction condition. That is, with reference to the database 37, a minute section group that satisfies the same minute section extraction condition as a specific minute section is extracted.

  The third feed speed determining means 33 calculates the average value of the second feed speeds of the micro section group extracted by the micro section extracting means 31 and determines the average feed speed for the specific micro section.

The optimum feed rate output means 35 outputs optimum feed rate information 39.
The data output may be displayed on the display device via the display unit 13. Moreover, you may output to the file by a suitable file format. Further, data may be transmitted to another computer via the network 19.

The database 37 holds lattice information, information on minute sections, information for linking lattices and minute sections, and the like.
The lattice information is information for specifying the position and range of the lattice. The information on the minute section includes the start point / end point position of the minute section, the first feed speed, the second feed speed, and the like. The information that links the lattice to the minute section is information that identifies the minute section included in the lattice.

  Next, details of the operation of the feed speed optimizing apparatus 1 will be described with reference to FIGS. 3 to 10.

3, 7, and 8 are flowcharts showing the processing procedure of the feed speed optimizing apparatus 1.
FIG. 4 is a diagram illustrating an example of the tool path 201 and the minute section 203.
FIG. 5 is a diagram illustrating an example of the tool path 201 and the lattice 205.
FIG. 6 is a diagram illustrating an example of the minute section 203 included in the specific lattice 205.
FIG. 9 is a diagram illustrating an example of the lattice 205 including the specific minute section 203 and the adjacent lattice 205.
FIG. 10 is a table showing an example of data of the lattice 205 including the specific minute section 203 and the adjacent lattice 205.

  As shown in FIG. 3, the control unit 3 inputs workpiece shape information, tool shape information, and tool path information before machining (step 101).

  Next, the control unit 3 determines the minute section 203 of the tool path 201 (step 102).

As shown in FIG. 4, the tool path 201 is divided into minute sections 203, and the following processing is performed. The minute section 203 is specified by the position of the start point and the end point.
In addition, the example shown in FIG. 4 is the tool path | route 201 by scanning line processing. In the scanning line processing, when the cutting process proceeds while cutting in the plus direction of the feed direction, when the contact with the work material 53 is finished, it is slightly shifted in the direction perpendicular to the feed direction and then cut in the minus direction of the feed direction. Return to without. And it advances, cutting in the plus direction of the feed direction. By repeating this, the entire work material is cut without changing the cutting direction.

  Next, the control unit 3 calculates a cutting amount for the minute section 203 (step 103). That is, the cutting amount of the workpiece cut in the minute section 203 determined in step 102 is simulated from the workpiece shape information and tool shape information before machining.

  Next, the control part 3 determines the 1st feed rate according to the cutting amount (step 104). Here, the control unit 3 determines, as the first feed rate, an optimum feed rate that maximizes the machining efficiency without causing damage to the tool with respect to the cutting amount calculated in Step 103.

Next, the control unit 3 confirms whether or not the determination of the first feed speed has been completed for all the minute sections 203 (step 105).
If not, repeat from step 102.
If completed, go to Step 106.

  Next, the control unit 3 generates a grid in a three-dimensional space including the tool path 201 (step 106).

As shown in FIG. 5, the three-dimensional space containing the tool path 201 is divided by the generation of the lattice 205.
When the feed rate is smoothed, if the grid is too small, the smoothing effect becomes too local and the feed rate is not sufficiently smooth. On the other hand, if the grid is too large, minute sections having no correlation in the finish of the processed surface will be smoothed, making it impossible to calculate an optimum feed rate. Therefore, it is necessary to set an appropriate lattice size.

  Next, the control unit 3 determines the lattice 205 (step 107).

Next, the control unit 3 registers the direction cosine and the first feed speed of the minute section 203 included in the determined lattice 205 in the database 37 (step 108).
Here, the direction cosine DA of the minute section A is calculated as follows when the coordinates P of the start point and the coordinates Q of the end point of the minute section A are P (x1, y1, z1) and Q (x2, y2, z2). Is done.

As shown in FIG. 6, the minute section 203 included in the specific lattice 205 is extracted, and information that links the lattice 205 and the minute section 203 is registered in the database 37 together with the direction cosine and the first feed speed.
Extraction of the minute section 203 included in the specific grid 205 is performed, for example, depending on whether or not the coordinates of the end point of the minute section 203 are included in the specific grid 205.
Needless to say, the minute section 203 may be extracted by the coordinates of the end point, the coordinates of the middle point of the start point and the end point, or the like.

Next, the control unit 3 confirms whether or not the registration of the direction cosine of the minute section 203 and the first feed speed has been completed for all the lattices 205 (step 109).
If not, repeat from step 107.
If completed, the process proceeds to step 110 shown in FIG.

  Next, as shown in FIG. 7, the control unit 3 determines the lattice 205 (step 110).

  Next, the control unit 3 refers to the database 37 and classifies the minute sections 203 from the group of minute sections included in the determined lattice 205 by the direction cosine (step 111).

である。
尚、方向余弦同士であれば、ベクトルの大きさは互いに１であるから、計算は簡略化される。
そして、ｃｏｓθの値、またはθの値を所定の範囲ごとにグループ化することで、微小区間２０３を分類する。 The classification of the minute section 203 based on the direction cosine, for example, first determines the minute section As as a reference. Next, the angle formed by the direction cosine DAs of the minute section As and the direction cosine DAi of the other minute section Ai (i = 1, 2,..., N) is obtained by, for example, the inner product formula. The inner product formula is as follows. When the vectors a and b are (x1, y1, z1) and (x2, y2, z2),

It is.
In addition, since the magnitude | sizes of a vector will mutually be 1 if it is direction cosines, calculation is simplified.
Then, the minute section 203 is classified by grouping the cos θ value or the θ value for each predetermined range.

  Next, the control unit 3 determines the classified minute section group (step 112).

  Next, the control unit 3 calculates the average value of the first feed speeds of the minute section group (step 113).

Next, the controller 3 registers the calculated average value of the first feed rates in the database 37 as the second feed rate (step 114).
In the database 37, information on the group classified and associated with the minute section is registered in one data storage area, and the second data calculated in association with the information on the classified group in the other data storage area. It is desirable to register the feed rate. This is because the information on the classified group can be used again in step 118 shown in FIG.

Next, the control unit 3 confirms whether or not the registration of the second feed speed has been completed for all the classified minute section groups (step 115).
If not, repeat from step 112.
If completed, go to step 116.

Next, the control unit 3 confirms whether the classification of the minute section 203 has been completed for all the lattices 205 (step 116).
If not, repeat from step 110.
If completed, the process proceeds to step 117 shown in FIG.

  Next, the control unit 3 determines the minute section 203 (step 117).

  Next, the control unit 3 refers to the database 37 and extracts the minute section 203 by the direction cosine from the group of minute sections included in the lattice 205 adjacent to the determined lattice 205 including the minute section 203 (step 118). .

In the example shown in FIG. 9, the lattice 205 including the determined minute section 203 is BOX-2. Adjacent lattices 205 are BOX-1, BOX-3, and BOX-4.
The number of adjacent grids is 26 at the maximum, geometrically front and rear, left and right, up and down, and diagonal. However, in contrast to the front, back, left, and right, top and bottom, which are in contact with each other on the surface, the oblique 20 which are in contact with each other need not be extracted in consideration of calculation accuracy and calculation time.
Also, a grid that does not include a minute section is not considered. In the example shown in FIG. 9, three grids including a minute section among the six pieces of front, rear, left, right, and upper and lower are targeted for extraction.

  Next, the control unit 3 calculates the average value of the second feed speeds of the extracted minute section 203 (step 119).

The example shown in FIG. 10 is the contents registered in the database 37 after the step 114 shown in FIG.
The lattice 205 of BOX-1 includes minute sections 203 of A11, A12, A13, and A14. In the classification by the direction cosine, all four are classified into the same group 1. The second feed rate F {BOX-1_1} of group 1 included in the lattice 205 of BOX-1 is F {BOX-1_1} = (F11 + F12 + F13 + F14) / 4.
On the other hand, the lattice 205 of BOX-4 includes minute sections 203 of A41, A42, A43, A44, A45, A46, A47, A48, and A49. In the classification based on the direction cosine, there are 6 groups 1 and 3 groups 2. The second feed rate F {BOX-4_1} of group 1 included in the lattice 205 of BOX-4 is F {BOX-4_1} = (F41 + F42 + F43 + F44 + F45 + F46) / 6. The second feed speed F {BOX-4_2} of group 2 included in the lattice 205 of BOX-4 is F {BOX-4_2} = (F47 + F48 + F49) / 3.

For example, when the minute section 203 determined in step 117 is the minute section 203 of A21 included in the lattice 205 of BOX-2, the optimum feed speed is (4 · F {BOX-1_1} + 6 · F { BOX-2_1 + 4 · F {BOX-3_1} + 6 · F {BOX-4_1}) / 20.
In addition, since the other minute sections 203 included in the BOX-2 lattice 205 have the same group, the optimum feed speed has the same value. Therefore, it is possible to omit the process of calculating the optimum feed speed for the minute section 203 of A22, A23, A24, A25, and A26.

Next, the control unit 3 confirms whether or not the calculation of the average value of the second feed speed is completed for all the minute sections 203 (step 120).
If not, repeat from step 117.
If completed, go to step 121.

  Next, the control unit 3 outputs the calculated average value of the second feed rates as an optimum feed rate (step 121).

  By performing the above procedure, the feed speed optimization process is completed.

In the embodiment of the present invention, the processing from Step 110 to Step 116 shown in FIG. 7 is performed, but the same result can be obtained without performing these processing. That is, in step 119 shown in FIG. 8, the average value of the first feed speeds may be obtained.
However, by performing the processing from step 110 to step 116 shown in FIG. 7 and obtaining the second feed speed, the memory capacity used in step 119 can be greatly reduced, and the processing speed can be increased. be able to.

Next, the effects of the present invention compared to the prior art will be described with reference to FIGS.
FIG. 11 is a diagram showing an example of the tool path information input in step 101 shown in FIG. 3 and the first feed speed determined in step 104.
FIG. 12 is a diagram illustrating an example of the G code corresponding to FIG.
The G code indicates a program format for determining the operation of the tool.
FIG. 13 is a diagram illustrating an example of the result of the feed speed optimization according to the conventional technique.
FIG. 14 is a diagram illustrating an example of the G code corresponding to FIG.
FIG. 15 is a diagram showing an example of the result of the feed speed optimization according to the present invention.
FIG. 16 is a diagram illustrating an example of the G code corresponding to FIG.

  As shown in FIG. 11, the tool path has a section where the start point is P0 (X0, Y0, Z0), the end point is P1 (X1, Y1, Z1), the start point is P1 (X1, Y1, Z1), and the end point is P2 ( X2, Y2, Z2), a start point is P2 (X2, Y2, Z2), and an end point is P3 (X3, Y3, Z3).

FIG. 12 shows an example of the G code corresponding to FIG.
As shown in FIG. 12, the tool is set to (X0, Y0, Z0) by the positioning command “G00”.
Next, the tool linearly moves from (X0, Y0, Z0) to (X1, Y1, Z1) by a linear interpolation command “G01”. At this time, the feed speed is F1.
Next, the linear interpolation command “G01” is taken over, and the tool linearly moves from (X1, Y1, Z1) to (X2, Y2, Z2). At this time, the feed speed is F2.
Next, the linear interpolation command “G01” is taken over, and the tool linearly moves from (X2, Y2, Z2) to (X3, Y3, Z3). At this time, the feed speed is F3.

  Next, an example when the feed speed is optimized by the conventional technique will be described.

  As shown in FIG. 13, a section having a start point P1 (X1, Y1, Z1) and an end point P2 (X2, Y2, Z2) is divided into three sections. Then, the feed speed is optimized in each section and determined to be different feed speeds.

FIG. 14 shows an example of the G code corresponding to FIG.
As shown in FIG. 14, the tool is set to (X0, Y0, Z0) by the positioning command “G00”.
Next, the tool linearly moves from (X0, Y0, Z0) to (X1, Y1, Z1) by a linear interpolation command “G01”. At this time, the feed speed is F11.
Next, the linear interpolation command “G01” is taken over, and the tool linearly moves from (X1, Y1, Z1) to (X21, Y21, Z21). At this time, the feed speed is F21.
Next, the linear interpolation command “G01” is taken over, and the tool linearly moves from (X21, Y21, Z21) to (X22, Y22, Z22). At this time, the feed speed is F22.
Next, the linear interpolation command “G01” is taken over, and the tool linearly moves from (X22, Y22, Z22) to (X2, Y2, Z2). At this time, the feed speed is F23.
Next, the linear interpolation command “G01” is taken over, and the tool linearly moves from (X2, Y2, Z2) to (X3, Y3, Z3). At this time, the feed speed is F31.

  As shown in FIGS. 13 and 14, the optimization of the feeding speed according to the conventional technique results in the feeding speed changing at four locations. This is because in the case of the prior art, the feed speed is optimized for each divided minute section.

  Next, an example when the feed rate is optimized according to the present invention will be described.

  As shown in FIG. 15, the start point is P0 (X0, Y0, Z0), the end point is P1 (X1, Y1, Z1), the start point is P1 (X1, Y1, Z1), the end point is P2 (X2, Y2, The feed speed in the section Z2) is the same value.

FIG. 16 shows an example of the G code corresponding to FIG.
As shown in FIG. 16, the tool is set to (X0, Y0, Z0) by the positioning command “G00”.
Next, the tool linearly moves from (X0, Y0, Z0) to (X1, Y1, Z1) by a linear interpolation command “G01”. At this time, the feed speed is F12.
Next, the linear interpolation command “G01” is taken over, and the tool linearly moves from (X1, Y1, Z1) to (X2, Y2, Z2). At this time, the feed speed is F12.
Next, the linear interpolation command “G01” is taken over, and the tool linearly moves from (X2, Y2, Z2) to (X3, Y3, Z3). At this time, the feed speed is F32.

  As shown in FIGS. 15 and 16, the optimization of the feed rate according to the present invention results in the feed rate changing at only one place. This is because in the present invention, the feed speed is smoothed between minute sections having similar direction cosines.

In the case of the conventional technology, since there are many changing points of the feed rate, vibration of the processing machine is generated, and a crust-like pattern is formed on the processed surface after finishing, and the processed workpiece is a defective product. turn into.
On the other hand, in the case of the present invention, since the change point of the feed rate is small, the movement of the tool becomes smooth and a beautiful processed surface can be obtained.

  As described above in detail, according to the embodiment of the present invention, the lattice 205 is generated in the three-dimensional space including the tool path 201, and the lattice 205 including the specific minute section 203 is adjacent to the lattice 205. An average value of the first feed speeds of the minute section group extracted according to the minute section extraction condition by the direction cosine from the included minute section group is output as an optimum feed speed.

According to the embodiment of the present invention, the feed rate is smoothed, the tool moves smoothly, and a beautiful processed surface can be obtained.
Further, by defining the minute section extraction condition by the direction cosine, even if the adjacent minute sections 205 are adjacent to each other, if there is a large change in the cutting amount such that the direction cosine is not similar, smoothing is performed separately. No tool damage will occur.
Furthermore, by classifying the minute sections 203 in the same lattice 205 in advance and calculating the second feed speed, the feed speed can be optimized at high speed.

  Note that the program for performing the processing shown in FIGS. 3, 7, and 8 may be distributed on a recording medium such as a CD-ROM, or may be transmitted / received via a communication line.

  The preferred embodiments of the feed speed optimization device and the like according to the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to such examples. It will be apparent to those skilled in the art that various changes or modifications can be conceived within the scope of the technical idea disclosed in the present application, and these naturally belong to the technical scope of the present invention. Understood.

Hardware configuration diagram of a computer for realizing the feed speed optimization device 1 Schematic configuration diagram of the feed speed optimization device 1 The flowchart which shows the process sequence of the feed speed optimization apparatus 1. The figure which shows an example of the tool path | route 201 and the micro area 203 The figure which shows an example of the tool path | route 201 and the grating | lattice 205 The figure which shows an example of the micro area 203 contained in the specific grating | lattice 205 The flowchart which shows the process sequence of the feed speed optimization apparatus 1. The flowchart which shows the process sequence of the feed speed optimization apparatus 1. The figure which shows an example of the grating | lattice 205 which contains the specific micro area 203, and the grating | lattice 205 adjacent. A table showing an example of data of a grid 205 including a specific minute section 203 and an adjacent grid 205 The figure which shows an example of the tool path information input at step 101 shown in FIG. 3, and the 1st feed speed determined at step 104 The figure which shows one example of the G code corresponding to FIG. The figure which shows an example of the result of the feed speed optimization by a prior art The figure which shows one example of G code corresponding to FIG. The figure which shows an example of the result of the feed speed optimization by this invention The figure which shows one example of the G code corresponding to FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ......... Feeding speed optimization apparatus 3 ......... Control part 5 ......... Storage part 7 ......... Media input / output part 9 ......... Communication control part 11 ......... Input part 13 ......... Display part 15 ... ...... Peripheral device I / F unit 17 ......... Bus 19 ......... Network 21 ......... Input means for workpiece shape information, tool shape information, tool path information before machining 23 ......... First feed speed determination means 25... Dividing means into unit minute spaces 27... Sorting means for minute sections 29... Second feed speed determining means 31. Means 35... Optimum feed rate output means 37... Database 39... Optimal feed speed information 201... Tool path 203.

Claims (7)

A first feed rate for calculating a cutting amount for each minute section of the tool path using the workpiece shape information, tool shape information, and tool path information before machining, and determining a first feed rate according to the cutting amount. A determination means;
Means for dividing a three-dimensional space including the tool path into unit microspaces;
The average value of the first feed speeds of the minute section group extracted according to the minute section extraction condition from the unit minute space including the particular minute section and the adjacent unit minute space is optimal for the particular minute section. An optimum feed speed determining means for determining the feed speed;
A feed speed optimizing device characterized by comprising: The optimum feed speed determining means is
Means for classifying the first minute section group included in the specific unit minute space into a second minute section group according to the minute section extraction condition;
Second feed speed determining means for determining an average value of the first feed speeds of the second minute section group as a second feed speed for the second minute section group;
Means for extracting a fourth group of minute sections from the unit minute space including the specific minute section and a third group of minute sections included in the adjacent unit minute space according to the minute section extraction condition;
Third feed rate determining means for determining an average value of the second feed rates of the fourth minute section group as an optimum feed speed for the specific minute section;
The feed speed optimizing device according to claim 1, comprising:   The feed speed optimization device according to claim 1 or 2, wherein the minute section extraction condition is determined by a direction cosine of the minute section. Calculating the cutting amount for each minute section of the tool path using the workpiece shape information, the tool shape information, and the tool path information before processing, and determining a first feed rate according to the cutting amount;
Dividing a three-dimensional space including the tool path into unit microspaces;
The average value of the first feed speeds of the minute section group extracted according to the minute section extraction condition from the unit minute space including the particular minute section and the adjacent unit minute space is optimal for the particular minute section. A step of determining as a feed rate;
A feed rate optimization method comprising: Determining the optimum feed rate comprises:
Classifying into a second minute section group from the first minute section group included in the specific unit minute space according to the minute section extraction condition;
Determining an average value of the first feed rates of the second minute section group as a second feed speed for the second minute section group;
Extracting a fourth minute section group from the unit minute space including the specific minute section and a third minute section group included in the adjacent unit minute space according to the minute section extraction condition;
Determining an average value of the second feed speeds of the fourth minute section group as an optimum feed speed for a specific minute section;
The feed speed optimization method according to claim 4, comprising:   The feed speed optimization method according to claim 4 or 5, wherein the minute section extraction condition is determined by a direction cosine of the minute section.   A program for causing a computer to function as the feed speed optimization device according to any one of claims 1 to 3.

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