JPH05293741A - Machining condition creating device - Google Patents

Abstract

PURPOSE:To provide a machining condition creating device which can set a machining condition for more accurate machining by referring to a reliable machined result forecast at setting the machining condition. CONSTITUTION:A machining condition 11 created at a machining condition generation part 3 based on a requested specification 9 put in from an input part 5 is put out to a machined result forecast part 10, and the machined result forecast part 10 puts out a machined result forecast regarding the case of actual machining under the machining condition 11 and inform it to an operator through a display part 12.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a processing condition generating device, and more particularly to a device capable of setting processing conditions in various processing machines used in the industrial field.

[0002]

2. Description of the Related Art FIG. 6 is a block diagram showing a configuration of a conventional processing condition generating apparatus including a processing machine, and FIG. 7 is a block diagram showing a processing condition generating section applied to this apparatus. In the figure, 1 is an electric discharge machine, 2 is a power supply for supplying electric power to the machine 1 and other peripheral devices, 3 is a machining condition generation unit that generates and outputs machining conditions in machining, and 4 is a machining condition generation unit 3. The numerical control unit for controlling the processing machine 1 according to the processing conditions, 5 is an input unit for the operator to input the required specifications, and 6 is a processing condition synthesizing unit, which uses the required specifications input from the input unit 5 and the processing condition database 7. The machining conditions are actually generated from the retrieved basic machining conditions. Further, 7 is a machining condition database that holds basic machining condition data that is a basis for generating machining conditions, 8 is an output unit, 9 is a required specification input by a worker, and 11 is generated by the machining condition generating unit 3. , Shows the output processing conditions.

The machining condition database 7 stores a machining condition group classified by parameters such as material, machining liquid treatment, surface roughness, reduction margin, and machining depth. This processing condition group is a collection of processing conditions that are optimum for processing under very limited conditions, and these data are provided by the manufacturer.

The processing condition generating device is a device for setting a processing condition for obtaining a desired processing result in processing by various processing machines used in the industrial field. Next, the operation of this device will be described. Based on the specifications required by the user for the workpiece, the processing low area a1, the processing depth a2, the wear rate a3, the electrode wear c1, the surface roughness c2, the processing time c3.
Required specifications 9 such as are input to the input unit 5 by the operator. Upon receiving the required specifications 9 from the input unit 5, the processing condition synthesizing unit 6 in the processing condition generating unit 3 receives these required specifications 9
And the basic machining condition data stored in advance in the machining condition database 7, at least one machining condition that meets the required specifications 9, that is, peak current, pulse width, pause time, polarity, and use at each machining stage. An electrical condition such as a power supply waveform and a machining condition sequence such as a value (electrode displacement amount) that brings the electrode to the final machining surface are generated and set in the output unit 8.
Further, the output section 8 displays the set data on a display section such as a CRT, a floppy disk (not shown) or a numerical control section 4.
Output to. In this way, the optimum machining conditions 11 for the required specifications 9 in electric discharge machining are automatically set.

Further, as a similar one, Japanese Patent Laid-Open No. 62-1
There is a processing machine adaptive control device disclosed in Japanese Patent No. 30130.

[0006]

In the machining condition generating apparatus as described above, it is important to consider the prediction of the machining time and the prediction of the machining result such as the shape accuracy of the machined surface after machining when determining the machining conditions. It is an element. This is because when determining the processing conditions, it is necessary to reflect the requirements from the processing background such as the delivery date in the processing conditions, but the ratio of mutually contradictory factors such as the processing time and the shape accuracy is the processing result prediction. This is because it is decided by inductively. However, in the above-described conventional machining condition generation device, it is difficult for the operator to predict the accurate machining result because the worker estimates them referring to past experience. In addition, there is a problem that the prediction of the processing result is greatly influenced by the skill level of the operator.

In many cases, the same processing has been performed in the past using the processing machine, but there is a case where the past data cannot be referred to depending on the user's request. obtain. For example, this is a case of processing using an electrode or a workpiece that has not been used in the past. In the conventional machining condition generation device, a skilled worker predicts the machining result by referring to past data that is as similar as possible and sets the machining condition. It is virtually impossible until you do it. At times, the results were totally unexpected, and there was the risk of greatly reducing processing efficiency.

The present invention has been made to solve the above problems, and refers to reliable machining result prediction when setting machining conditions to set machining conditions that enable more accurate machining. The purpose is to obtain a processing condition generation device that can be used.

[0009]

A machining condition generating apparatus according to the present invention comprises an input section for an operator to input a requirement specification relating to machining, a machining condition generating section for generating a machining condition based on the inputted requirement specification, The processing result prediction unit outputs a processing result prediction based on the processing conditions, and the display unit displays the processing result prediction output from the processing result prediction unit.

[0010]

In the machining condition generating apparatus according to the present invention, the machining result predicting unit predicts the machining result obtained when the machining condition is set in the target machining machine and machining is performed. By referring to the output of the processing result at the stage of the processing preparation, the operator can set the processing condition while predicting the processing result. In other words, it is possible for an operator to interactively set appropriate machining conditions by inputting required specifications from the input unit or viewing the machining result prediction on the display unit, regardless of the level of skill in machining. to enable.

[0011]

【Example】

Embodiment 1. Hereinafter, a processing condition generating apparatus according to an embodiment of the present invention will be described with reference to the drawings. FIG. 1 shows a block diagram of an adaptive control apparatus as this embodiment. In the figure, 1 is a processing machine, 2 is a power supply, 3 is a processing condition generation unit that generates processing conditions based on the input required specifications 9, 4 is a numerical control unit,
5 is an input unit for the operator to input the required specifications 9 for machining, 10 is a machining result prediction unit that outputs a machining result prediction based on the machining conditions, 11 is a generated machining condition, and 12 is an output from the machining result prediction unit. The display part which displays the processed processing result prediction is shown. Details of the processing condition generation unit 3 are the same as those shown in FIG. 7. Further, the required specifications 9 are, for example, the processing low area a1, the processing depth a2, the wear rate a3, the electrode wear c1, the surface roughness c2, and the processing time c3 as in the conventional case.

FIG. 2 is a block diagram showing the internal structure of the processing condition generator 3 of this embodiment. In the figure, 1
3 is a processing result search unit, 14 is a processing result prediction database that holds basic processing conditions, and 15 is a predicted processing result. For example, the processing low area a1, the processing depth a2, the wear rate a3, and the like as in the required specifications. , Electrode consumption c1, surface roughness c2, processing time c3, and the like.

Next, the operation will be described based on the flow chart shown in FIG. The operator inputs the required specifications 9 through the input unit 5 (step 21). The machining condition generation unit 3 searches for a machining condition (basic machining condition) that best matches the required specification 9 in the same operation as the conventional one (step 2).
2). As a result, at least one processing condition, for example, electrical current conditions such as peak current at each stage, pulse width, pause time, polarity, used power supply waveform, and processing such as a value that allows the electrode to be on the final processing surface (electrode displacement amount) If necessary, condition 11
It is output to the display unit 12 or the processing result prediction unit 10 (step 23).

The machining result predicting unit 10 receives the machining conditions output from the machining condition generating unit 3. Processing result prediction unit 10
The processing result retrieving unit 13 retrieves the processing result prediction database 14 held by itself to predict the processing result 15
Is output and presented to the operator through the display unit 12 (step 24). The machining result predicting unit 10 produces a data base for machining result prediction based on a pair of data of machining conditions in the past machining performed by the machining machine 1 and machining results output from the machining machine 1 based on the machining conditions. Hold a large amount as 14.
Specifically, for example, a database structure that holds values obtained from the characteristic graph of the processing machine provided by the manufacturer can be considered. This characteristic graph shows the electrode shape, material,
This is a graph showing how the machining speed, electrode wear ratio, surface roughness, and clearance on both sides change when the peak current and pulse width are changed with the machining depth kept constant. It represents the characteristics of.

Since the basic machining conditions do not take into consideration trade-offs such as machining speed and machining time in the required specifications 9, the operator can predict the machining result 1 displayed on the display unit 12.
5, the ratio is determined and it is judged whether the processing conditions sufficiently satisfy the requirements (step 25). When it is determined that the processing conditions do not sufficiently satisfy the requirements, the process returns to step 21 through step 26, and the required specifications 9 are partially modified or re-input as a whole. For example, if the delivery date is imminent, the processing time prediction of the processing result prediction 15 is emphasized, and the finishing surface roughness c2 of the required specifications 9 is reset to a slightly larger value. ..

As described above, while repeating a series of processes in the input unit 5, the processing condition generation unit 3, the processing result prediction unit 10, and the display unit 12, the worker can obtain the processing condition 11 that most satisfies the request. it can. In other words, conventionally, the skilled worker makes predictions of the machining result while referring to his own experience, and based on that, the selection of the machining conditions 11 that most satisfy the requirements is input by the input unit 5, the machining condition generating unit 3, the machining result. Prediction unit 1
0, the display unit 12 allows anyone to perform. The machining conditions 11 determined as described above are output to the numerical controller 4 to control the machining machine 1 to actually perform machining (step 27).

Further, the machining result predicting unit 10 additionally writes the actual machining result and the data pair of the machining condition 11 at that time to the machining result predicting database 14 (step 2).
8). For example, it is assumed that the machining condition B is generated for the required specification A, the machining condition B is input to the numerical control unit 4, and the machining is actually performed to obtain the machining result C. Then, the processing condition B and the processing result C are stored in the processing result prediction database 14 of the processing result prediction unit 10. After that, when the processing condition B ′ similar to the processing condition B is output from the processing condition generation unit 3, the processing result prediction unit 10 outputs the processing result prediction C ′ similar to the processing result C. Since the processing result prediction database 14 is updated according to the processing conditions B and the processing results C, the processing result prediction database 14 has higher reliability. Therefore, the updated machining result prediction C ′ has higher similarity than the machining result prediction C ″ output from the machining condition B ′ before being updated.

As described above, the number of data stored in the processing result predicting database 14 of the processing result predicting section 10 is updated for each processing and increases. This series of operations is called learning. The processing result prediction C ′ is a processing result prediction that is closer to the actual processing result than the processing result prediction C ″ output from the processing result prediction unit 10 before learning. That is, the processing result prediction unit 10 Learning is repeated each time machining is performed, and the precision of machining result prediction gradually improves while performing machining.

As described above, according to the processing condition generating apparatus in this embodiment, the operator inputs the required specifications 9 from the input unit 5 at the stage of processing preparation, and sees the processing result prediction through the display unit 12. By doing so, it is possible to interactively set appropriate machining conditions regardless of the level of skill of the operator regarding the rough machining.

Second Embodiment In the above first embodiment, when it is determined in step 25 that the machining conditions do not meet the requirements, the process returns to step 21 through step 26, and the operator sets the required specifications 9 The case of re-entering is shown. In the second embodiment, as shown in FIG.
In addition, a function of correcting the processing condition 11 and a function of always displaying the processing condition 11 output from the processing condition generation unit 3 on the display unit 12 are added. Thereby, the operator refers to the processing condition 11 output from the processing condition generation unit 3, and considers the cause of not satisfying the request with reference to the processing result prediction, and the operator can directly correct the processing condition 11. ..

With this configuration, when the operator has some knowledge about machining, the machining condition 1
1 can be partially modified, and the effect that even more detailed parts of the required specifications can be reflected in the processing conditions is obtained.

Third Embodiment Further, in the first embodiment described above, the structure of the processing result predicting unit 10 has a database structure in which a characteristic graph is held, but as shown in FIG. The same effect can be obtained by using the three-layered hierarchical neural network in which the characteristic graph is regarded as a non-linear multivariable function and internal parameters are set so that a desired input / output relationship can be obtained. However, this internal parameter is variable, and is updated so that a new input / output relationship obtained by processing is reflected in the input / output relationship of the neural network every time processing is completed.

[0023]

As described above, according to the present invention, an operator inputs a required specification for processing, a processing condition generation section for generating a processing condition based on the input required specification, and a processing condition. Based on the processing result prediction unit that outputs the processing result prediction based on this, and the display unit that displays the processing result prediction output from the processing result prediction unit, refer to the reliable processing result prediction when setting the processing conditions. However, there is an effect that a processing condition generation device capable of setting a processing condition capable of performing more accurate processing can be obtained.

[Brief description of drawings]

FIG. 1 is a block diagram showing a processing condition generation device according to a first embodiment of the present invention.

FIG. 2 is a block diagram illustrating an internal structure of a processing condition generation unit according to the first embodiment.

FIG. 3 is a flowchart showing the operation of the processing condition generation device according to the first embodiment.

FIG. 4 is a block diagram showing a processing condition generation device according to a second embodiment of the present invention.

FIG. 5 is a block diagram showing an internal structure of a processing condition generation unit according to the third embodiment.

FIG. 6 is a block diagram showing a conventional processing condition generation device.

FIG. 7 is a block diagram showing an internal structure of a conventional processing condition generation unit.

[Explanation of symbols]

 3 Machining condition generation section 5 Input section 9 Required specifications 10 Machining result prediction section 11 Machining condition 12 Display section

Claims (1)

[Claims] 1. An input unit for an operator to input a required specification for processing, a processing condition generation unit for generating a processing condition based on the input required specification, and a processing for outputting a processing result prediction based on the processing condition. A processing condition generation device comprising: a result prediction unit; and a display unit that displays the processing result prediction output from the processing result prediction unit.