JP6055620B2 - Automatic programming apparatus and method and machining system - Google Patents

Description

  The present invention relates to an automatic programming apparatus and method and a machining system for creating a nesting machining program for placing a mold of a predetermined type of component in a workpiece and performing blank machining, and in particular, a component arrangement pattern (sheet) in a workpiece. The present invention relates to an automatic programming apparatus, a method and a machining system for creating a nesting machining program capable of reducing the number of patterns) and solving the problem that the machining work takes time.

  In general, in a processing system having a processing machine such as a laser processing machine or a punch press, a processing program for nesting for performing blank processing by placing a mold of a predetermined type of part in a work is created by an automatic programming device, A method of performing a machining operation according to the machining program is known.

  In creating a conventional machining program, yield priority nesting is performed in which nesting is performed with priority on yield so that parts other than parts are minimized in a workpiece.

  FIG. 16 is an explanatory diagram showing an example of conventional yield priority nesting.

  As shown in FIG. 16A, five parts A, seven parts B, seven parts C, eight parts D, eleven parts E, and eight parts F are used as parts to be input. In this case, when the conventional yield priority nesting is performed, the yield is given priority so that the parts other than the parts are sequentially minimized. As shown in FIG. A processing program with a total number of 6 sheets is created. Here, in the conventional yield priority nesting, in order to increase the yield, the large parts are arranged in the order of the small parts, and as a result, similar types of different sheet patterns tend to be formed, and the number of sheet patterns is large. It was.

  There was no prior art document.

  However, in the case of yield priority nesting by the conventional automatic programming described above, since the number of sheet patterns increases, there arises a problem that it takes time to perform a processing operation by a laser processing machine or the like as described below.

  That is, as shown in FIG. 16, the number of sheet patterns increases, and small parts may be discontinuously arranged across a plurality of sheets. In such a case, the processing of the small parts ends. Until then, it is not possible to move on to the next process, or it takes time to collect parts in product units.

  In addition, when trying to apply to unmanned operation of a processing machine, a trial operation of the processing machine is performed to confirm actual processing. However, if there are a large number of sheet patterns, all sheet patterns must be actually processed and confirmed. Because it does not become, confirmation takes time. That is, for example, in the case shown in FIG. 16, it is necessary to actually process and check five sheets, which are the number of all sheet patterns, and it takes time to check.

  In addition, during actual processing, for example, when it is necessary to correct a component on a sheet in order to suck and carry out the component, if the number of sheet patterns is large, the correction takes time. That is, for example, when the component C shown in FIG. 16 is to be corrected, the sheet patterns 1a, 1b, and 1c have to be corrected, and the correction takes time.

The present invention is for solving the above-described problems, and is characterized in that in a machining system that performs nesting to place parts on a workpiece and processes the workpiece by a processing machine based on the nesting result. , An automatic programming device for creating a processing program for nesting of the processing machine,
An input means for inputting nesting conditions, plan information of parts to be input to the nesting, and information of the work used for nesting;
Based on the nesting conditions input by the input means, the plan information of the parts to be input to the nesting, and the information of the work to be used for nesting, the same component arrangement within the yield range specified by the nesting conditions A pattern nesting means for calculating a pattern nesting for increasing the number of workpieces of the pattern as much as possible, and for setting the arrangement of the parts by the calculated pattern nesting ,
The pattern nesting means
Pattern nesting by calculating the multiplier of the area occupied by the part and the number of the parts, setting the priority in descending order of the multiplication result, and calculating the quotient and the number of predicted patterns from the part with the highest priority Pattern nesting derivation means for deriving
A yield calculation means for calculating a pattern yield by pattern nesting derived by the pattern nesting derivation means;
Determining means for determining whether the yield calculated by the yield calculating means is within a yield range specified by the nesting condition;
Yield priority nesting means for performing yield priority nesting for giving priority to yield to a part having a pattern determined to be out of the yield range specified by the nesting condition by the determination means .

Another feature of the present invention is that the nesting condition includes a yield nesting that gives priority to the yield of the workpiece, the pattern nesting, and a yield when the pattern nesting is performed .

Another feature of the present invention is that the component is composed of a plurality of types of components, and the plurality of types of components are nested in a plurality of workpieces having a predetermined shape .

Another feature of the present invention is that the pattern nesting means rearranges the workpiece so that the predetermined nested parts are continuous .

Another feature of the present invention is that in a machining system in which nesting for placing parts on a workpiece is performed by an automatic programming device and the workpiece is machined by a machining machine based on a result of the nesting, the nesting of the machining machine is performed. An automatic programming method for creating a machining program,
A step of inputting the nesting conditions, the plan information of the parts to be input to the nesting, and the information of the workpiece used for the nesting by an input means;
Within the yield range specified by the nesting condition based on the nesting condition input by the input means, the plan information of the parts to be input to the nesting, and the workpiece information used for nesting by the pattern nesting means And calculating the pattern nesting to increase the number of workpieces of the same component arrangement pattern as much as possible, and setting the arrangement of the components by the calculated pattern nesting.
The component placement setting step includes
The pattern nesting derivation means calculates the multiplier of the occupied area and the number of the parts, sets the priority higher in descending order of the multiplication results, and calculates the quotient and predicted pattern number from the higher priority parts. To derive pattern nesting by calculating
A step of calculating a pattern yield by pattern nesting derived by the pattern nesting deriving means by a yield calculating means;
A step of determining by the determining means whether or not the yield calculated by the yield calculating means is within a yield range specified by the nesting condition;
And a step of performing yield priority nesting for giving priority to yield to a part having a pattern determined by the determination means to be outside the range of the yield specified by the nesting condition by the yield priority nesting means. .

Another feature of the present invention is that the nesting condition includes a yield nesting that gives priority to the yield of the workpiece, the pattern nesting, and a yield when the pattern nesting is performed .

Another feature of the present invention is that a processing program for nesting of the processing machine is created in a processing system that performs nesting to place parts on the work and processes the work by a processing machine based on a result of the nesting. An automatic programming device that
An input means for inputting nesting conditions, plan information of parts to be input to the nesting, and information of the work used for nesting;
Based on the nesting conditions input by the input means, the plan information of the parts to be input to the nesting, and the information of the work to be used for nesting, the same component arrangement within the yield range specified by the nesting conditions A pattern nesting means for calculating a pattern nesting for increasing the number of workpieces of the pattern as much as possible, and for setting the arrangement of the parts by the calculated pattern nesting,
The pattern nesting means
Pattern nesting deriving means for performing a predetermined calculation and calculating the quotient and the number of predicted patterns from the parts in accordance with the priority order based on the calculation result to derive the pattern nesting;
A yield calculation means for calculating a pattern yield by pattern nesting derived by the pattern nesting derivation means;
Determining means for determining whether the yield calculated by the yield calculating means is within a yield range specified by the nesting condition;
Yield priority nesting means for performing yield priority nesting for giving priority to yield to a part having a pattern determined to be out of the yield range specified by the nesting condition by the determination means .

  ADVANTAGE OF THE INVENTION According to this invention, the number of the sheet | seat patterns of a workpiece | work can be decreased, and the nesting processing program which can solve the problem that processing work takes time can be created.

It is explanatory drawing which shows the outline of the laser processing system which implemented this invention. It is a schematic block diagram of the automatic programming apparatus shown in FIG. 4 is a flowchart showing a machining program creation operation for nesting of the automatic programming device 9. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing of the machining program creation operation | movement of a nesting. It is explanatory drawing which shows the example of the conventional yield priority nesting.

  FIG. 1 is an explanatory diagram showing an outline of a machining system embodying the present invention. In the present embodiment, a laser processing machine will be described as an example of the processing machine, but other processing machines such as a punch press may be used.

  As shown in FIG. 1, this processing system 3 is an automatic programming that creates a processing program for a laser processing machine 7 using information on parts to be manufactured in a database (storage means) 5 and data on a member to be processed (plate material). The machine 9 has an NC data by a machining program including a nesting created by the automatic programming device 9 is converted into drive data by the NC apparatus 11 and sent to the laser machine 13, and laser machining is performed according to the drive data. Each part is controlled by the machine 13, laser processing of the workpiece (plate material) is performed, and predetermined parts are manufactured. The database 5 stores part shape data obtained by machining, data on the workpiece, and the like.

  FIG. 2 is a block diagram showing a schematic configuration of the automatic programming device 9 shown in FIG.

  As shown in FIG. 2, the automatic programming device 9 comprises a computer and has a CPU 15 to which a ROM 17 and a RAM 19 are connected. The CPU 15 further includes an input device 21 such as a keyboard and a display such as a display. A device 23 is connected. Further, the database 5 is connected to the CPU 15.

  In the automatic programming device 9, the CPU 15 uses the part shape data and workpiece data in the database 11 in accordance with an instruction from the input device 21 and uses the RAM 19 in accordance with the computer program from the ROM 17. A nesting processing program for the laser beam machine 13 as described later is created.

  Next, the processing operation and configuration of the laser processing machine 13 shown in FIG. 1 will be briefly described.

  The laser processing machine 13 shown in FIG. 1 has a processing table 25 on which a workpiece (workpiece member) W is placed, and X-axis guides 27A and 27B are provided on both sides of the processing table 25. A carriage 29 extending in the Y-axis direction is provided across the processing table 25 and the X-axis guides 27A and 27B. An X-axis ball screw 33 is screwed into one lower portion 31 of the carriage 29, the X-axis ball screw 33 is coupled to an X-axis motor Mx, and the lower portion 31 is slidably coupled to an X-axis guide 27A. The other lower portion 35 is slidably coupled to the X-axis guide 27B.

  A ball screw 37 that is rotated by a Y-axis motor My is provided on the upper surface of the carriage 29, and a Y-axis slider 39 is screwed to the ball screw 37, and the Y-axis slider 39 is rotated by a Z-axis motor Mz. A machining head 43 that is screwed onto the rotating ball screw 41 is provided.

  With this configuration, by driving the X-axis motor Mx, the carriage 29 is driven in the X-axis direction, and by driving the Y-axis motor My, the machining head 43 is moved on the carriage 29 in the Y-axis direction, and the Z-axis motor Mz. , The machining head 43 is moved in the Z-axis direction on the Y-axis slider 39, the machining head 43 is positioned at a predetermined cutting position, and a laser beam is emitted from the machining head 43 according to a nesting machining program described later. The workpiece W is cut while moving the processing head 43 in a predetermined direction while irradiating L.

  Next, the nesting machining program creation operation of the automatic programming device 9 shown in FIGS. 1 and 2 will be described with reference to FIGS.

  FIG. 3 is a flowchart showing the nesting machining program creation operation of the automatic programming device 9, and FIGS. 4 to 15 are explanatory diagrams of the nesting machining program creation operation.

  First, in step 101 of FIG. 3, nesting conditions are input.

  Here, the operator inputs a nesting condition for performing yield nesting or pattern nesting from the input device 21 of the automatic programming device 9, and when performing pattern nesting, the yield in the pattern nesting is also input.

  4 is displayed on the display device 23 of the automatic programming device 9, and the nesting condition is set such that the pattern nesting yield is 30% as illustrated. Input by the operator.

  Here, pattern nesting is a nesting method in which the number of workpieces of the same component arrangement pattern is increased as much as possible within a specified yield range, unlike conventional yield priority nesting.

  Next, in step 103, plan information of parts to be input to nesting is input.

  Here, the type and number of parts to be input to the nesting are input as plan information from the input device 21 of the automatic programming device 9 by the operator. For example, as shown in FIG. 5 (similar to FIG. 16A), there are five first-type parts A, seven second-type parts B, and seven third-type parts C. , The fourth type component D is input as 8, the fifth type component E is input as 11 items, and the sixth type component F is input as 8 items. Information about each part is obtained from the database 5.

  Next, in step 105, information on a material (work) used for nesting is input.

  Here, the operator inputs the size and number of workpieces used for nesting from the input device 21 of the automatic programming device 9 as used material information. For example, as shown in FIG. 6, six workpieces W having a predetermined size are input.

  Next, in step 107, the optimum pattern nesting of the components to be arranged is calculated from the information input in the above steps 101 to 105. In step 109, the arrangement of the components is set by the calculated optimum pattern nesting. . Here, the automatic programming device 9 functions as a pattern nesting means.

  That is, first, the multiplier of the occupied area and the number in each of a plurality of parts is calculated from the part information and the work information, and the priority is set in descending order of the multiplication result. Then, the quotient and the number of predicted patterns are calculated from the parts with high priority, and the optimum pattern of the parts to be arranged is derived. Here, the automatic programming device 9 functions as a pattern nesting deriving unit.

  Hereinafter, taking the parts A to F shown in FIG. 5 as an example, how to obtain the optimum pattern nesting on the workpiece W shown in FIG. 6 will be described.

  In the case of the parts A to F shown in FIG. 5, the part having the largest multiplication result of the occupied area and the number is the part A, so the part A is given priority and the quotient of the part A is calculated. Here, the quotient is the result of dividing the area of the part with respect to the area of the workpiece W. Then, the largest quotient within the possible range is selected.

  In the case of the part A, as shown in FIG. 7, the quotient that is the result of the division of the area of the part A with respect to the area of the work W is 1 in the possible range, so 1 is selected. Is done. That is, since only one component A can be arranged with respect to the area of the workpiece W, 1 is the maximum.

  Since the quotient of part A is 1, the number of predicted patterns is five, which is the number of parts A.

  Next, in the state where the quotient of part A is 1 and the number of predicted patterns is 5, the part with the next highest priority is selected. Here, as shown in FIG. 5, since the component B becomes the component with the next highest priority, the quotient of the component B and the number of predicted patterns are calculated.

  That is, as shown in FIG. 8, the quotient resulting from the division of the area of the part B with respect to the free area of the work W in a state where the part A is arranged on the work W is the largest value in the possible range. Is 1, so 1 is selected. That is, since only one component B can be arranged with respect to the free area of the work W, 1 is the maximum.

  Since the quotient of part B is 1, the number of predicted patterns is seven, which is the number of parts B.

  Next, in the state where the quotient of part A is 1, the number of predicted patterns is 5, and the quotient of part B is 1, and the number of predicted patterns is 7, the part with the next highest priority is selected. Here, as shown in FIG. 5, since the part C becomes the next highest priority part, the quotient of the part C and the number of predicted patterns are calculated.

  That is, as shown in FIG. 9, the quotient resulting from the division of the area of the part C with respect to the free area of the work W in the state where the parts A and B are arranged on the work W is the highest possible. A large value is 1.

  Here, the largest value of the quotient that is the result of dividing the area of the part C with respect to the free area of the work W when the parts A and B are arranged on the work W is 2, but 2 is selected. In this case, it is impossible to place the parts D to F having a lower priority than the part C in the free area of the work W in the state where the parts A, B, and C are arranged on the work W. Is selected.

Since the quotient of part C is 1, the number of predicted patterns is 7 which is the number of parts C.

Next, in a state where the quotient of part A is 1, the number of predicted patterns is 5, and the quotient of part B is 1, the number of predicted patterns is 7, and the quotient of part C is 1 and the number of predicted patterns is 7 , A component with a high priority is selected. Here, as shown in FIG. 5, since the part D becomes the next highest priority part, the quotient and the predicted pattern number of the part D are calculated.

  That is, as shown in FIG. 10, the quotient resulting from the division of the area of the part D with respect to the free area of the work W in a state where the parts A, B, and C are arranged on the work W is within a possible range. The largest value is 1.

  Here, the largest quotient in the quotient obtained by dividing the area of the part D with respect to the free area of the work W in a state where the parts A, B, and C are arranged on the work W is 2. Is selected, it is impossible to place the parts E and F having a lower priority than the part D in the empty area of the work W in the state where the parts A, B and C are arranged on the work W. 1 is selected.

  Since the quotient of part D is 1, the number of predicted patterns is 8 which is the number of parts D.

  Next, the quotient of part A is 1, the number of predicted patterns is 5, and the quotient of part B is 1, the number of predicted patterns is 7, the quotient of part C is 1, the number of predicted patterns is 6 and the quotient of part D is In the state where the number of predicted patterns is 1 and the number is 1, the component with the next highest priority is selected. Here, as shown in FIG. 5, since the part E becomes the next highest priority part, the quotient of the part E and the number of predicted patterns are calculated.

  That is, as shown in FIG. 11, the quotient that is the result of the division of the area of the part E with respect to the free area of the work W when the parts A, B, C, and D are arranged on the work W is possible. The largest value in the range is 1.

  Here, the largest value of the quotient that is the result of dividing the area of the part E with respect to the free area of the work W in a state where the parts A, B, C, and D are arranged on the work W is 4. When 4 is selected, the number of predicted patterns is 2, which is smaller than the minimum predicted pattern number of parts A, B, C, D having a higher priority than part E, and 3 or 2 is selected. However, the number of predicted patterns is 3 or 4, which is smaller than the minimum predicted pattern number of parts A, B, C, and D having a higher priority than the part E, so 1 is selected as the quotient.

  Since the quotient of part E is 1, the number of predicted patterns is 11 which is the number of parts E.

Next, the quotient of part A is 1, the number of predicted patterns is 5, and the quotient of part B is 1, the number of predicted patterns is 7, the quotient of part C is 1, the number of predicted patterns is 7 and the quotient of part D is In a state where the number of predicted patterns is 1 and the quotient of part E is 1 and the number of predicted patterns is 11, the part with the next highest priority is selected. Here, as shown in FIG. 5, since the component F becomes the component with the next highest priority, the quotient of the component F and the number of predicted patterns are calculated.

  That is, as shown in FIG. 12, the quotient obtained as a result of dividing the area of the part F with respect to the free area of the work W in a state where the parts A, B, C, D, and E are arranged on the work W is The largest value in the possible range is 1.

  Here, the largest quotient of the quotient obtained by dividing the area of the part F with respect to the free area of the work W in a state where the parts A, B, C, D, and E are arranged on the work W is 4. However, if 4 is selected, the number of predicted patterns is 2, which is smaller than the minimum predicted pattern number 6 of parts A, B, C, D, E having a higher priority than the part F, and 3 and 2 Is selected, the number of predicted patterns is three or four, which is smaller than the minimum predicted pattern number of parts A, B, C, D, and E, which has a higher priority than the part F. 1 is selected.

  Since the quotient of the component F is 1, the number of predicted patterns is eight, which is the number of components F.

  Then, when the pattern nesting is calculated based on the quotients of the parts A to F selected as described above and the number of predicted patterns, as shown in FIG. Five types of nesting results can be obtained.

  That is, as shown in FIG. 13, five of the first type patterns include parts A to F, two of the second type patterns include parts B to F, and the third type of patterns. One of the patterns includes parts D to F, and three of the fourth type patterns are arranged and set to include part E.

  Next, as shown in FIG. 13, the yield is calculated from the part information and the work information for each type of pattern set as shown in FIG. 13, and whether each type of yield is 30% or more of the specified yield. Is determined.

  That is, for each of the first to fourth types of patterns, it is determined whether or not the occupancy rate of the part with respect to the workpiece W has reached 70%. Here, the automatic programming device 9 functions as a determination unit.

  Then, yield priority nesting is performed for a pattern in which the occupation ratio of parts to the workpiece W does not reach 70% (yield is 30% or more).

  Here, in the case of the pattern nesting shown in FIG. 13, it is determined that only the first type of pattern has reached 70% of the component occupancy with respect to the workpiece W, and the second to fourth types of patterns are It is determined that the occupancy rate of the part with respect to the workpiece W has not reached 70%.

  Therefore, as shown in FIG. 14, five of the first type patterns are arranged as they are, and the second to fourth types of patterns are subjected to the yield priority nesting and are applied to one workpiece W. Placement is set collectively. Thus, optimal pattern nesting is required, and component placement is set. Here, the automatic programming device 9 functions as a yield priority nesting means.

  As described above, the machining program in which the component placement setting by the optimum pattern nesting is performed is sent to the NC device 11, and NC data by the machining program including nesting is converted into drive data by the NC device 11. The laser beam is sent to the laser beam machine 13, and the laser beam machine 13 controls each part according to the drive data, and the workpiece (plate material) is laser machined to produce the specified part.

  In the case of the example shown in FIG. 14, nesting is performed so that workpieces W having the same parts are continuous as a result of pattern nesting. Depending on the type and number of parts, for example, FIG. As shown, the workpiece W may be arranged such that the part X is discontinuous. Therefore, in such a case, as shown in FIG. 15B, the work W may be rearranged so that the parts X are continuous.

  As described above, according to this embodiment, the number of sheet patterns can be reduced as a result of pattern nesting, and the conventional problem that takes time for the following processing work can be solved.

  That is, as shown in FIG. 16, in the conventional yield priority nesting, small parts may be arranged discontinuously across a plurality of sheets, and in such a case, until the processing of the small parts is completed. If you are unable to move on to the next process or that it takes time to assemble parts into product units, or if you are trying to apply to unmanned operation of a processing machine, perform a trial operation of the processing machine and check the actual machining However, if there are a large number of sheet patterns, all the sheet patterns must be processed and checked, so there is a problem that it takes a long time to check, and for example, parts are sucked and carried out during actual processing. In addition, when it is necessary to correct the parts on the sheet, the problem that the correction takes time is solved if the number of sheet patterns is large.

  The present invention is not limited to the embodiments of the invention described above, and can be implemented in other modes by making appropriate modifications.

  For example, in the above embodiment, laser processing has been described as an example, but the present invention is not limited to this and can be applied to punch processing.

DESCRIPTION OF SYMBOLS 3 ... Processing system 5 ... Database 7 ... Laser processing machine 9 ... Automatic programming apparatus 11 ... NC apparatus 13 ... Laser processing machine 15 ... CPU
17 ... ROM
19 ... RAM
DESCRIPTION OF SYMBOLS 21 ... Input device 23 ... Display device 25 ... Processing table 27A ... X-axis guide 27B ... X-axis guide 29 ... Carriage 31 ... Lower part 39 ... Y-axis slider 43 ... Processing head

Claims (7)

In a processing system for performing nesting to place parts on a workpiece and processing the workpiece by a processing machine based on a result of the nesting, an automatic programming device for creating a processing program for nesting of the processing machine,
An input means for inputting nesting conditions, plan information of parts to be input to the nesting, and information of the work used for nesting;
Based on the nesting conditions input by the input means, the plan information of the parts to be input to the nesting, and the information of the work to be used for nesting, the same component arrangement within the yield range specified by the nesting conditions A pattern nesting means for calculating a pattern nesting for increasing the number of workpieces of the pattern as much as possible, and for setting the arrangement of the parts by the calculated pattern nesting ,
The pattern nesting means
Pattern nesting by calculating the multiplier of the area occupied by the part and the number of the parts, setting the priority in descending order of the multiplication result, and calculating the quotient and the number of predicted patterns from the part with the highest priority Pattern nesting derivation means for deriving
A yield calculation means for calculating a pattern yield by pattern nesting derived by the pattern nesting derivation means;
Determining means for determining whether the yield calculated by the yield calculating means is within a yield range specified by the nesting condition;
Yield priority nesting means for performing yield priority nesting for giving priority to yield to a part having a pattern determined to be out of the yield range specified by the nesting condition by the determination means. Programming device. 2. The automatic programming according to claim 1, wherein the nesting condition includes a yield nesting that gives priority to a yield of the workpiece, a pattern nesting, and a yield when the pattern nesting is performed. apparatus. The automatic programming apparatus according to claim 1 , wherein the parts are composed of a plurality of types of parts, and the plurality of types of parts are nested in a plurality of workpieces having a predetermined shape . The automatic programming apparatus according to claim 1 , wherein the pattern nesting unit rearranges the workpiece so that the predetermined nested parts are continuous . An automatic programming method for creating a processing program for nesting of the processing machine in a processing system for performing nesting for placing parts on the work by an automatic programming device and processing the work by a processing machine based on the nesting result Because
A step of inputting the nesting conditions, the plan information of the parts to be input to the nesting, and the information of the workpiece used for the nesting by an input means;
Within the yield range specified by the nesting condition based on the nesting condition input by the input means, the plan information of the parts to be input to the nesting, and the workpiece information used for nesting by the pattern nesting means And calculating the pattern nesting to increase the number of workpieces of the same component arrangement pattern as much as possible, and setting the arrangement of the components by the calculated pattern nesting.
The component placement setting step includes
The pattern nesting derivation means calculates the multiplier of the occupied area and the number of the parts, sets the priority higher in descending order of the multiplication results, and calculates the quotient and predicted pattern number from the higher priority parts. To derive pattern nesting by calculating
A step of calculating a pattern yield by pattern nesting derived by the pattern nesting deriving means by a yield calculating means;
A step of determining by the determining means whether or not the yield calculated by the yield calculating means is within a yield range specified by the nesting condition;
And a step of performing yield priority nesting for giving priority to yield to a part of a pattern determined by the determination means to be out of the range of the yield specified by the nesting condition by the yield priority nesting means. Automatic programming method. 6. The automatic programming according to claim 5, wherein the nesting condition includes a yield nesting giving priority to a yield of the workpiece, the pattern nesting, and a yield when the pattern nesting is performed. Method. In a processing system for performing nesting to place parts on a workpiece and processing the workpiece by a processing machine based on a result of the nesting, an automatic programming device for creating a processing program for nesting of the processing machine,
An input means for inputting nesting conditions, plan information of parts to be input to the nesting, and information of the work used for nesting;
Based on the nesting conditions input by the input means, the plan information of the parts to be input to the nesting, and the information of the work to be used for nesting, the same component arrangement within the yield range specified by the nesting conditions A pattern nesting means for calculating a pattern nesting for increasing the number of workpieces of the pattern as much as possible, and for setting the arrangement of the parts by the calculated pattern nesting,
The pattern nesting means
Pattern nesting deriving means for performing a predetermined calculation and calculating the quotient and the number of predicted patterns from the parts in accordance with the priority order based on the calculation result to derive the pattern nesting;
A yield calculation means for calculating a pattern yield by pattern nesting derived by the pattern nesting derivation means;
Determining means for determining whether the yield calculated by the yield calculating means is within a yield range specified by the nesting condition;
Yield priority nesting means for performing yield priority nesting for giving priority to yield to a part having a pattern determined to be out of the yield range specified by the nesting condition by the determination means. Programming device.

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