JP3374579B2 - Processing condition determination device - Google Patents

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a cutting condition determining device for creating a machining program for a machine tool capable of processing cutting conditions.

[0002]

2. Description of the Related Art FIG. 9 is a block diagram of a conventional cutting condition determining device, and FIG. 10 is a flowchart showing its operation. In the figure, 1 is an input means, 2 is a database search means (hereinafter "database" is abbreviated as "D / B"),
3 is a cutting condition selecting means, 4 is a cutting condition correcting means, 5 is an outputting means, 11 is a cutting condition D / B, 41 is a cutting condition D / B.
It is an editing means.

In the conventional cutting condition determining device configured as described above, first, as shown in FIG. 10, machining process information for which a cutting condition is desired to be determined is input (step S61). The machining process information is, for example, a machining shape, a work material, a tool material, and a cutting depth. Next, the cutting condition D / B is searched for data suitable for the input machining process (step S62). Next, based on the retrieved cutting condition data, the cutting conditions suitable for the machining process input are determined (step S63). As a result of the search, for the cutting conditions displayed,
When the correction is necessary (step S64), the data of the cutting conditions, for example, the cutting speed and the feed speed are specifically corrected (step S65) and output (step S66). If there is no cutting condition data suitable for the input machining process, the search fails and the cutting condition cannot be determined.

[0004]

As described above,
In the conventional cutting condition determination device for creating a machining program for a machine tool, when it is necessary to correct the processed cutting conditions, necessary items of the cutting conditions are corrected and output. However, if the cutting conditions are determined again with the same machining process information, the previous data correction will not be reflected in the cutting conditions D / B, so the same cutting condition correction as before must be performed again. When it is desired to process a desired cutting condition, it is necessary to edit the cutting condition D / B in advance in addition to the machining program creation work.

The present invention has been made in order to solve the above problems, and in the above-mentioned conventional cutting condition determining device, the work material among the machining process information inputted in the cutting condition D / B to be searched. Alternatively, it solves the problem that the cutting condition cannot be processed without processing the cutting condition data suitable for the tool material, and the cutting know-how is gradually obtained during the machining program creation work. It is an object of the present invention to provide a cutting condition determination device that can be accumulated as a product and can meet various requirements. Even if the cutting condition data suitable for the machining process information input in the cutting condition D / B does not exist, the processing is performed by inferring from the cutting condition data close to the inputted machining process information.

[0006]

In the machining condition determining apparatus according to the first aspect, the machining condition D / B and the reference machining condition D / B used for the search are provided, and the learning timing is set, so that the result of the search is obtained. When modifying the obtained processing conditions, the processing conditions are reflected in the processing conditions D / B, and means for learning the processing conditions D / B when the learning timing is detected is provided.

In the machining condition determining apparatus according to the second aspect, in addition to the first aspect, the machining condition D / B learning process selecting means is provided.

In the machining condition determining apparatus according to claim 3, in addition to the machining condition determining apparatus according to claim 1 or 2, a plurality of data consisting of a pair of a machining condition data group and a standard machining condition data group. A data group group having a group is provided, and processing condition D / B selecting means for selecting a data group to be used as the processing condition D / B and the standard processing condition D / B from this data group group is provided.

In the cutting condition determining apparatus according to the fourth aspect, the processing condition D / B in which the processing condition data is classified by the work material group and / or the tool material group,
If there is no machining condition data suitable for the work material and / or tool material in the machining process information in this machining condition D / B, it is closer to the machining process information from the same work material group and / or tool material group. Processing condition D / B search means for searching one or a plurality of processing condition data, and processing conditions data searched by the processing condition D / B search means are used to estimate and determine a processing condition suitable for the processing step information. The processing condition determining means is provided.

[0010]

In the machining condition determining apparatus of claim 1, the machining conditions obtained by the search are corrected as necessary, the corrected machining conditions are registered in the machining conditions D / B, and the machining condition data is corrected.
By comparing the machining conditions D / B and the standard machining conditions D / B,
If the preset learning timing condition is satisfied, the processing condition D / B is learned.

In addition to the operation of the machining condition determining device of claim 1, the machining condition determining device of claim 2 operates so as to select a learning processing method of the machining condition D / B.

In addition to the operation of the machining condition determining device of claim 1 or 2, the machining condition determining device of claim 3 operates to select a machining condition D / B to be used for retrieval.

In addition to the operation of the machining condition determining device of claims 1 to 3, the cutting condition determining device of claim 4 operates so as to estimate and determine a machining condition suitable for the machining process information.

[0014]

【Example】

Example 1. A first embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram of a cutting condition determination device in creating a machining program for a machine tool according to this embodiment, FIG. 2 is a flowchart showing its operation, and FIG. 3 is a cutting condition D / B.
5 is an explanatory diagram showing an example of a data format of FIG. In the figure,
1 is an input means, 2 is a D / B search means, 3 is a cutting condition selection means, 4 is a cutting condition correction means, 5 is an output means, and 6 is D /
B registration means, 7 D / B comparison means, 8 learning timing determination means, 9 learning timing setting means, 10 D / B
Learning processing means 11, cutting conditions D / B used for search,
12 is a reference cutting condition D / B.

In the cutting condition determination device configured as described above, first, as shown in FIG. 2, machining process information for which a cutting condition is desired to be determined is input (step S1). For example, the machining shape and material of the work, the material of the tool, the cutting depth, and the like.
Here, the data suitable for the input machining process information is searched from the cutting conditions D / B (step S2). Next, a cutting condition suitable for the machining process input based on the retrieved cutting condition data is selected (step S3). When correction is necessary based on the display of the cutting conditions on the display device (not shown) (step S4), the items of the cutting conditions, such as the cutting speed and the feed speed, are specifically corrected (step S5). Here, when the corrected cutting condition is used in the subsequent processing (step S6), the relevant data is registered in the cutting condition D / B and the corresponding conventional cutting condition data is corrected (step S7). The cutting condition data registered and corrected in this cutting condition D / B is to be searched for the cutting condition data in the subsequent processing.

The cutting condition data of the cutting condition D / B and the cutting condition data of the reference cutting condition D / B paired with the cutting condition data are compared (step S8). By this comparison, the ratio of the registered and corrected cutting condition data in the cutting condition D / B to the total number of data (hereinafter referred to as data correction ratio) is obtained. Then, the upper limit of the data correction ratio is set in advance, the cutting condition data of the cutting condition D / B and the cutting condition data of the reference cutting condition D / B are compared, and if the data correction ratio exceeds the upper limit (step S9), the cutting is performed. The uncorrected data of the condition D / B is changed (this change of the uncorrected data is abbreviated as "learning process") (step S10). After the learning process is completed, each cutting condition data of the reference cutting condition D / B is corrected based on each cutting condition data of the cutting condition D / B, and both cutting condition data are made the same (step S11). By learning processing the cutting condition data of the cutting condition D / B in this way, even the cutting condition data which is not directly corrected is corrected to the cutting condition data according to the actual processing condition. You can

Next, a method of learning processing of the concrete cutting condition D / B will be described. Here, the cutting condition D / B stores data in a format as shown in FIG. 3, and the work material: carbon steel for machine structure (hereinafter, simply referred to as carbon steel) S3.
5C, tool material: It is assumed that 10 pieces of cutting condition data are stored for a combination of high-speed tool steel (hereinafter, simply referred to as high speed steel) (hereinafter, this combination is referred to as combination A). Then, some cutting condition data is corrected. In addition, the upper limit of the data correction ratio is set to 50% for a certain work material and tool material combination, and if the data correction ratio reaches this upper limit, the cutting conditions for the work material and tool material combination are set. It is assumed that D / B is learned. The number of differences in the cutting condition data is detected by comparing the standard cutting condition D / B and the cutting condition D / B. Here, if the cutting condition data 5 of the combination A is modified and is different from the reference cutting condition D / B, the learning condition for the cutting condition D / B of the combination A is satisfied. Cutting condition D / B
The average value of the correction rate (hereinafter, referred to as the average correction rate) between each of the corrected cutting condition data and the cutting condition data in the reference cutting condition D / B paired with the corrected cutting condition data is calculated, and the cutting condition D is obtained. Each uncorrected cutting condition data in / B is changed by this average correction rate.

In the above description, the uncorrected cutting condition data is corrected with the average correction rate of the cutting condition data, but the correction of the uncorrected cutting condition data is not limited to this method. The D / B may be configured to record the usage record of each cutting condition data, and the correction rate of the cutting condition data by weighted average may be used, and furthermore, the optimum cutting condition is obtained by using various statistical processing methods. You may do it. In short, it suffices to detect the correction tendency of the cutting condition data with some algorithm and correct the cutting condition appropriately according to the correction tendency.

Example 2. A second embodiment of the present invention will be described below with reference to the drawings. FIG. 4 is a block diagram of a cutting condition determining device in creating a machining program for a machine tool according to this embodiment, and FIG. 5 is a flowchart showing its operation. In the figure, reference numeral 21 denotes a D / B learning processing selection means, and other constituent elements are the same as those in the first embodiment.

Next, the operation will be described with reference to FIG.
First, prior to the processing of cutting conditions, a learning processing method for cutting conditions D / B is selected (step S21). In the first embodiment, the reference cutting condition D / B of each modified cutting condition data for the cutting condition data of the work material group determined to need learning: carbon steel, tool material: HSS Calculate the average correction rate for the cutting condition data of
Only the uncorrected cutting condition data is changed according to the average correction rate.

Apart from this learning processing method, all cutting condition data may be changed by the average value of each correction rate of the corrected cutting condition data. In the former case, since only the uncorrected cutting condition data is changed by the learning process, only the uncorrected cutting condition data can be changed without changing the corrected cutting condition data. In the latter case, all the cutting condition data can be changed evenly because the learning process changes all the cutting condition data.

In selecting the learning processing method for the cutting condition D / B, one of the two learning processing methods to be used is selected. After that, the same processing as in the first embodiment is performed, and the cutting condition D / B is changed according to the learning processing method selected in advance. In the above description, the case where two learning processing methods are selected has been shown, but it goes without saying that the learning processing methods based on the various algorithms described in the first embodiment may be selected.

Example 3. A third embodiment of the present invention will be described below with reference to the drawings. FIG. 6 is a block diagram of a cutting condition determining device in creating a machining program for a machine tool according to this embodiment, and FIG. 7 is a flowchart showing its operation. In the figure, 31 is a cutting condition D / B selecting means, 32 is a data group group including a plurality of cutting condition data groups and a reference cutting condition data group as a pair, and other constituent elements are the same as those in the first embodiment. It is the same.

Next, the operation will be described with reference to FIG. First, prior to the processing of the cutting condition, the cutting condition D / B used for the search is selected from the data group group (step S41). Generally, the cutting conditions vary depending on the form of the machine tool to be used, the machining capability, the material of the tool, and the tool maker. Therefore, a more appropriate cutting condition is processed by preparing a cutting condition data group consisting of a plurality of cutting condition data groups each having different cutting condition data and a reference cutting condition data group, and selectively using the cutting condition data group depending on the processing situation. be able to. Before determining the cutting conditions, select the cutting conditions D / B that match the machining conditions in advance and process the cutting conditions
The cutting conditions can be processed more appropriately.

Example 4. A fourth embodiment of the present invention will be described below with reference to the drawings. FIG. 8 is an explanatory diagram showing an example of the data format of the cutting condition D / B of the cutting condition determination device in the machining program creation of the machine tool according to this embodiment. As shown in FIG. 8, in the cutting conditions D / B, carbon steel is registered as a work material group, and carbon steels S30C (hardness 130HB), S40C (hardness 140HB), and S50C are included therein. (Hardness 150 HB). In addition, cemented carbide is registered as a tool material group. Tool names K10 and K2
There are 0 and K30, and the cutting speed and the feed speed are registered as the cutting condition data for each.

Here, it is assumed that the machining process information to be input is work material: carbon steel S35C, hardness: 135HB, tool material: cemented carbide K10. The cutting condition D / B search means first searches the cutting condition D / B for cutting material data from carbon steel in the work material group to the work material: S35C and from the cemented carbide in the tool material group to the tool name: K10. But,
In the cutting condition D / B, the cutting condition data of the tool name K10 exists, but the cutting condition data of the work material: S35C does not exist. Therefore, the data similar to the input machining process information is searched from the cutting condition D / B. Work material group:
Carbon steel has three cutting condition data for tool name: K10. Therefore, from these three data, the hardness close to 135HB in the input machining process information is that the work material: S
30C (hardness 130HB) and work material: S40C (hardness 140HB). Therefore, cutting condition D / B
Searching means: Work material: S30C, Tool name: K10 → Cutting speed: 30 m / min, Feed rate: 0.3 mm / min Work material: S40C, Tool name: K10 → Cutting speed: 40 m / min, Feed rate: 0 Outputs two cutting condition data of 0.4 mm / min.

Next, the cutting condition determining means determines the cutting condition D / B.
From the two cutting condition data retrieved by the retrieval means,
Input work material: S35C (hardness: 135) cutting conditions by primary interpolation, cutting speed: 35 m / min, feed speed: 0.35 mm /
ask for min. As described above, even when the data of the input machining process information does not exist in the cutting condition D / B, the cutting condition D / B
The B search means searches for data close to the input machining process information, and the cutting condition determination means estimates the cutting conditions based on the searched data, thereby input work material: S35C (hardness 135HB), Tool name: K10 cutting conditions: cutting speed: 35 m / min, feed rate: 0.35 mm /
It is possible to output min. In the above description, the cutting condition D
Although the case where the cutting conditions that do not exist in / B are obtained by linear interpolation is shown, for example, in the case of carbon steel, the cutting conditions may be obtained from the relationship between the carbon content and the hardness. The cutting conditions may be obtained from the relationship.

In the above description, the cutting process has been described, but this idea is not applicable only to the cutting process. For example, the cutting conditions such as the grinding process are set according to the combination of the work and the tool. It goes without saying that it can be applied to general machining that needs to be changed.

[0029]

Since the invention according to claim 1 is configured as described in detail above, the cutting conditions corrected without interrupting the machining program creation work can be used.
Cutting condition D /
By repeating registration and correction in B, learning processing can be performed to the optimum cutting condition D / B.

Since the invention according to claim 2 is configured as described above in detail, when the learning processing of the cutting condition D / B is performed, the modified cutting condition is saved and learned, or is not saved. You can choose whether to perform learning processing in
A cutting condition D / B more suitable for the machining process can be constructed.

Since the invention according to claim 3 is configured as described in detail above, the cutting conditions D / B can be used properly depending on the form and ability of the machine tool, and also for each tool maker, and fine machining is possible. Cutting conditions suitable for the process can be obtained.

Since the invention according to claim 4 is configured as described above in detail, cutting condition data of a specific work material or tool material corresponding to machining process information input in the cutting condition D / B. Even if there is not, the cutting condition can be processed by inferring it from the data in the cutting condition D / B. Further, the cutting condition can be obtained without registering the cutting condition data of all the necessary work material and tool material in the cutting condition D / B.
Has the effect of reducing the amount of data.

[Brief description of drawings]

FIG. 1 is a configuration diagram according to a first embodiment of the present invention.

FIG. 2 is a flowchart explaining the operation of the apparatus shown in FIG.

FIG. 3 is an operation explanatory diagram of the first embodiment of the present invention.

FIG. 4 is a configuration diagram according to a second embodiment of the present invention.

FIG. 5 is a flowchart explaining the operation of the apparatus shown in FIG.

FIG. 6 is a configuration diagram according to a third embodiment of the present invention.

FIG. 7 is a flowchart explaining the operation of the apparatus shown in FIG.

FIG. 8 is a configuration diagram according to a fourth embodiment of the present invention.

FIG. 9 is a configuration diagram of a conventional cutting condition determination device.

FIG. 10 is a flowchart of a conventional cutting condition determination device.

[Explanation of symbols]

1 Input Means 2 D / B Search Means 3 Cutting Condition Selection Means 4 Cutting Condition Correction Means 5 Output Means 6 D / B Registration Means 7 D / B Comparison Means 8 Learning Timing Judging Means 9 Learning Timing Setting Means 10 D / B Learning Processing Means 11 Cutting conditions D / B 12 Standard cutting conditions D
/ B 21 D / B learning processing selection means 31 Cutting conditions D / B
Selection means 32 Data group group 41 Cutting condition D / B
Editing means

─────────────────────────────────────────────────── ─── Continuation of the front page (56) References JP-A-5-104395 (JP, A) JP-A-7-40191 (JP, A) JP-A-4-348818 (JP, A) JP-A-6- 335840 (JP, A) JP-A-4-354653 (JP, A) (58) Fields investigated (Int.Cl. ⁷ , DB name) B23Q 15/00-15/28 G05B 19/18-19/46

Claims (4)

(57) [Claims] 1. A machining condition determining device for creating a machining program for a machine tool, a machining condition database having machining condition data to be searched, a standard machining condition database having reference machining condition data, and machining process information. Database searching means for searching the processing condition data from the processing condition database based on the above, processing condition selecting means for selecting the processing condition based on the processing step information and the processing condition data obtained by the database searching means, Machining condition correcting means for correcting the machining condition data obtained by the machining condition selecting means, and database registration correcting means for registering the machining condition data obtained by the machining condition correcting means in the machining condition database and correcting the machining condition data. , The processing condition database and the standard processing condition data Database comparison means for comparing the contents with the base, learning timing setting means for setting the timing for executing the learning processing of the processing condition database, comparison results obtained by the database comparison means and settings by the learning timing setting means And a learning timing determination means for making a learning process execution determination with respect to the machining condition database, and a database for performing a learning process on the machining condition database and the standard machining condition database based on the correction tendency of the machining condition data by the database registration correcting means. A processing condition determining device comprising: learning processing means. 2. When the learning processing of the processing condition database is performed by the database learning processing means, only the uncorrected processing condition data in the processing condition database is targeted for the learning processing or all the processing condition data are processed. The processing condition determining apparatus according to claim 1, further comprising a database learning process selecting unit that selects whether to perform a learning process. 3. A data group group having a plurality of data groups each consisting of a pair of a machining condition data group and a standard machining condition data group, and a data group used as a machining condition database and a standard machining condition database from this data group group. The processing condition database selecting means for selecting is provided.
Alternatively, the processing condition determination device according to claim 2. 4. A machining condition database in which machining condition data is classified by a work material group and / or a tool material group, and machining condition data suitable for the work material and / or tool material of the machining process information in the machining condition database. If there is not, the processing condition database searching means for searching one or a plurality of processing condition data close to the processing step information from the same work material group and / or tool material group, and the processing condition database searching means. The processing condition determining means for estimating and determining a processing condition suitable for the processing step information based on the searched processing condition data, is provided. Processing condition determination device.