CN105629879A - Self-diagnosis method for product machining state for numerical control machine tool - Google Patents
Self-diagnosis method for product machining state for numerical control machine tool Download PDFInfo
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- CN105629879A CN105629879A CN201410605568.6A CN201410605568A CN105629879A CN 105629879 A CN105629879 A CN 105629879A CN 201410605568 A CN201410605568 A CN 201410605568A CN 105629879 A CN105629879 A CN 105629879A
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Abstract
The invention discloses a self-diagnosis method for a product machining state for a numerical control machine tool, and the method comprises the steps: 1, inputting a product machining scheme; 2, diagnosing the machining of products and the machining state: carrying out the machining of a plurality of products sequentially according to the inputted machining scheme, wherein the process comprises the following steps: 201, starting the machining of the products; 202, carrying out the machining of the products and the detection of actual machining states; 203, carrying out the judgment of the completion of the machining of the products; 204, carrying out the obtaining the actual machining states of the products; 205, carrying out the diagnosis of the actual machining states of the products: comparing the obtained actual machining state information of the products machined currently with the inputted machining scheme, and judging whether there is a difference between the actual machining state information and the machining scheme or not. The method is simple in steps, is reasonable in design, is convenient to implement, is good in use effect, can automatically diagnose the machining states of all products in a machining process, judges the machining quality of products according to the diagnosis result, and saves time and labor.
Description
Technical field
The invention belongs to Digit Control Machine Tool processing technique field, especially relate to a kind of Digit Control Machine Tool Product processing state self-diagnosing method.
Background technology
Digit Control Machine Tool refers to the lathe adopting digital form information to be controlled, that is the relative shift between various operations and step and cutter and workpiece required in the part course of processing etc. is recorded on program medium by every digitized code, send into computer or numerical control device through decoding, computing and process, control cutter and the workpiece relative motion of lathe, and the class lathe processing required workpiece accordingly is Digit Control Machine Tool. At present, the Digit Control Machine Tool function occurred on market is more and more higher and machining accuracy is also very accurate, but in the actual course of processing, the uncertain factor affecting Digit Control Machine Tool machining accuracy is very many, thus inevitably manufacturing deficiency, and produce accordingly many not meet requirement on machining accuracy and the flaw product with a small amount of flaw, particularly in the processing component that requirement on machining accuracy is higher, the flaw product probability occurred is bigger. Nowadays, Digit Control Machine Tool does not possess machining state self-diagnostic function mostly, after Product processing completes, need to arrange product quality department specially, and be equipped with a large amount of quality inspection personnel machined product is carried out one by one quality inspection, labor intensity is big, wastes time and energy, and quality inspection efficiency is low, and affect Product processing efficiency, simultaneously because the quality testing standard of different quality inspection personnels is difficult to unified, thus quality inspection effect is poor, and in quality check process, the flase drop detection leakage phenomenon of faulty goods is very many. To sum up, nowadays the Digit Control Machine Tool Product processing state self-diagnosing method that a kind of method step is simple, reasonable in design and realization is convenient, result of use is good is lacked, the machining state of each product can be diagnosed by product processing automatically, and the crudy of product can be judged according to diagnostic result, time saving and energy saving.
Summary of the invention
The technical problem to be solved is in that for above-mentioned deficiency of the prior art, a kind of Digit Control Machine Tool Product processing state self-diagnosing method is provided, its method step is simple, reasonable in design and realization is convenient, result of use is good, the machining state of each product can be diagnosed by product processing automatically, and the crudy of product can be judged according to diagnostic result, time saving and energy saving.
For solving above-mentioned technical problem, the technical solution used in the present invention is: a kind of Digit Control Machine Tool Product processing state self-diagnosing method, it is characterised in that the method comprises the following steps:
Step one, Product processing scheme input: by parameter set unit, to the control system input product processing scheme of Digit Control Machine Tool;
Described processing scheme includes product type, machining locus and machined parameters, described machining locus is the curve that tool sharpening position changed with process time, described machined parameters includes the Design and Machining parameter at each Working position place in described machining locus, and the Design and Machining parameter at each Working position place all includes the time used by the tool feeding amount at this Working position place, cutter rotating speed and tool sharpening;
Step 2, Product processing and machining state diagnosis: adopt Digit Control Machine Tool described in step one, and according to the processing scheme inputted in step one, by first to rear, multiple products being processed, multiple described products are same model; In each product processing, described control system is all called Product Status self diagnosis module and the machining state of each product is diagnosed, and according to diagnostic result, the course of processing of product is controlled; The machining state diagnosis of multiple described products is all identical with course of processing control method; When any one product being processed to condition diagnosing and course of processing control, process is as follows:
Step 201, Product processing start: described control system, by controlling servo drive, starts and drives the electric operator of process tool that current machined product is processed;
Step 202, Product processing and the detection of actual machining state: described control system is according to the Product processing scheme inputted in step one, and be controlled by controlling the servo drive electric operator to driving process tool, make described process tool according to processing scheme set in advance, current machined product be processed;
In product processing, detect unit by tool position the position of described process tool is detected in real time, detect unit by tool condition described process tool is detected at the machining state at each Working position place simultaneously, and detected synchronizing information is sent to described control system; Described tool condition detection unit includes working depth detection unit, rotation speed detection unit and timing module that described process tool is detected in the tool feeding amount at each Working position place, cutter rotating speed and tool sharpening time, described working depth detection unit, rotation speed detection unit and timing module all connect with described control system, and described working depth detection unit and rotation speed detection unit are by equal for detected information synchronous driving to described control system;
Step 203, Product processing complete to judge: described control system is according to the Product processing scheme inputted in step one, and the temporal information that the detection unit of working depth described in integrating step 202 and the detected information of rotation speed detection unit and described timing module record, judge whether the course of processing of current machined product completes, and after judgement show that the course of processing of current machined product completes, enter step 204;
The actual machining state of step 204, product obtains: described control system is according in current machined product processing, the temporal information that described working depth detection unit and the detected information of rotation speed detection unit and described timing module record, it is thus achieved that the actual machining state information of current machined product;
The actual machining state of step 205, product diagnoses: will be obtained the actual machining state information of current machined product in step 204, contrast with the processing scheme inputted in step one, judge whether there are differences part between actual machining state information and described processing scheme: when judgement draws and there are differences part between actual machining state information and described processing scheme, illustrate that current machined product is defect ware; Otherwise, illustrate that current machined product is certified products;
Step 206, next Product processing condition diagnosing: the method described in step 201 to step 206, diagnose the machining state of next machined product;
Step 207, repeatedly repetition step 206, until completing the machining state diagnosis process of each product.
Above-mentioned a kind of Digit Control Machine Tool Product processing state self-diagnosing method, is characterized in that: parameter set unit described in step one is carried out the wireless communication terminal of two-way communication by communication and described control system.
Above-mentioned a kind of Digit Control Machine Tool Product processing state self-diagnosing method, it is characterized in that: the detection unit of working depth described in step 202 and rotation speed detection unit are by after equal for detected information synchronous driving to described control system, received working depth detection unit and rotation speed detection unit are transmitted information by synchronization storage by described control system, and are stored in data storage.
Above-mentioned a kind of Digit Control Machine Tool Product processing state self-diagnosing method, it is characterized in that: after received working depth detection unit and rotation speed detection unit are transmitted information by synchronization storage by described control system, in conjunction with the temporal information that described timing module records, making the machining information table of current machined product, in described machining information table, record has working depth and the rotary speed information of process tool described in each moment.
Above-mentioned a kind of Digit Control Machine Tool Product processing state self-diagnosing method, is characterized in that: the detection unit of working depth described in step 202 and rotation speed detection unit are installed in the tool driving shaft of described process tool.
Above-mentioned a kind of Digit Control Machine Tool Product processing state self-diagnosing method, is characterized in that: described rotation speed detection unit is photoelectric encoder.
The present invention compared with prior art has the advantage that method step is simple, reasonable in design and it is convenient to realize, result of use is good, the machining state of each product can be diagnosed by product processing automatically, and the crudy of product can be judged according to diagnostic result, time saving and energy saving.
Below by drawings and Examples, technical scheme is described in further detail.
Accompanying drawing explanation
Fig. 1 is the method flow block diagram of the present invention.
Detailed description of the invention
A kind of Digit Control Machine Tool Product processing state self-diagnosing method as shown in Figure 1, comprises the following steps:
Step one, Product processing scheme input: by parameter set unit, to the control system input product processing scheme of Digit Control Machine Tool.
Described processing scheme includes product type, machining locus and machined parameters, described machining locus is the curve that tool sharpening position changed with process time, described machined parameters includes the Design and Machining parameter at each Working position place in described machining locus, and the Design and Machining parameter at each Working position place all includes the time used by the tool feeding amount at this Working position place, cutter rotating speed and tool sharpening.
Step 2, Product processing and machining state diagnosis: adopt Digit Control Machine Tool described in step one, and according to the processing scheme inputted in step one, by first to rear, multiple products being processed, multiple described products are same model; In each product processing, described control system is all called Product Status self diagnosis module and the machining state of each product is diagnosed, and according to diagnostic result, the course of processing of product is controlled; The machining state diagnosis of multiple described products is all identical with course of processing control method; When any one product being processed to condition diagnosing and course of processing control, process is as follows:
Step 201, Product processing start: described control system, by controlling servo drive, starts and drives the electric operator of process tool that current machined product is processed.
Step 202, Product processing and the detection of actual machining state: described control system is according to the Product processing scheme inputted in step one, and be controlled by controlling the servo drive electric operator to driving process tool, make described process tool according to processing scheme set in advance, current machined product be processed.
In product processing, detect unit by tool position the position of described process tool is detected in real time, detect unit by tool condition described process tool is detected at the machining state at each Working position place simultaneously, and detected synchronizing information is sent to described control system; Described tool condition detection unit includes working depth detection unit, rotation speed detection unit and timing module that described process tool is detected in the tool feeding amount at each Working position place, cutter rotating speed and tool sharpening time, described working depth detection unit, rotation speed detection unit and timing module all connect with described control system, and described working depth detection unit and rotation speed detection unit are by equal for detected information synchronous driving to described control system.
Step 203, Product processing complete to judge: described control system is according to the Product processing scheme inputted in step one, and the temporal information that the detection unit of working depth described in integrating step 202 and the detected information of rotation speed detection unit and described timing module record, judge whether the course of processing of current machined product completes, and after judgement show that the course of processing of current machined product completes, enter step 204.
The actual machining state of step 204, product obtains: described control system is according in current machined product processing, the temporal information that described working depth detection unit and the detected information of rotation speed detection unit and described timing module record, it is thus achieved that the actual machining state information of current machined product.
The actual machining state of step 205, product diagnoses: will be obtained the actual machining state information of current machined product in step 204, contrast with the processing scheme inputted in step one, judge whether there are differences part between actual machining state information and described processing scheme: when judgement draws and there are differences part between actual machining state information and described processing scheme, illustrate that current machined product is defect ware; Otherwise, illustrate that current machined product is certified products.
Step 206, next Product processing condition diagnosing: the method described in step 201 to step 206, diagnose the machining state of next machined product.
Step 207, repeatedly repetition step 206, until completing the machining state diagnosis process of each product.
In the present embodiment, parameter set unit described in step one is carried out the wireless communication terminal of two-way communication by communication and described control system.
Thus, practical operation is very easy.
In the present embodiment, the detection unit of working depth described in step 202 and rotation speed detection unit are by after equal for detected information synchronous driving to described control system, received working depth detection unit and rotation speed detection unit are transmitted information by synchronization storage by described control system, and are stored in data storage.
Simultaneously, after received working depth detection unit and rotation speed detection unit are transmitted information by synchronization storage by described control system, in conjunction with the temporal information that described timing module records, making the machining information table of current machined product, in described machining information table, record has working depth and the rotary speed information of process tool described in each moment.
When actual laying is installed, the detection unit of working depth described in step 202 and rotation speed detection unit are installed in the tool driving shaft of described process tool.
In the present embodiment, described rotation speed detection unit is photoelectric encoder.
The above; it it is only presently preferred embodiments of the present invention; not the present invention is imposed any restrictions, every any simple modification, change and equivalent structure change above example made according to the technology of the present invention essence, all still fall within the protection domain of technical solution of the present invention.
Claims (6)
1. a Digit Control Machine Tool Product processing state self-diagnosing method, it is characterised in that the method comprises the following steps:
Step one, Product processing scheme input: by parameter set unit, to the control system input product processing scheme of Digit Control Machine Tool;
Described processing scheme includes product type, machining locus and machined parameters, described machining locus is the curve that tool sharpening position changed with process time, described machined parameters includes the Design and Machining parameter at each Working position place in described machining locus, and the Design and Machining parameter at each Working position place all includes the time used by the tool feeding amount at this Working position place, cutter rotating speed and tool sharpening;
Step 2, Product processing and machining state diagnosis: adopt Digit Control Machine Tool described in step one, and according to the processing scheme inputted in step one, by first to rear, multiple products being processed, multiple described products are same model; In each product processing, described control system is all called Product Status self diagnosis module and the machining state of each product is diagnosed, and according to diagnostic result, the course of processing of product is controlled; The machining state diagnosis of multiple described products is all identical with course of processing control method; When any one product being processed to condition diagnosing and course of processing control, process is as follows:
Step 201, Product processing start: described control system, by controlling servo drive, starts and drives the electric operator of process tool that current machined product is processed;
Step 202, Product processing and the detection of actual machining state: described control system is according to the Product processing scheme inputted in step one, and be controlled by controlling the servo drive electric operator to driving process tool, make described process tool according to processing scheme set in advance, current machined product be processed;
In product processing, detect unit by tool position the position of described process tool is detected in real time, detect unit by tool condition described process tool is detected at the machining state at each Working position place simultaneously, and detected synchronizing information is sent to described control system; Described tool condition detection unit includes working depth detection unit, rotation speed detection unit and timing module that described process tool is detected in the tool feeding amount at each Working position place, cutter rotating speed and tool sharpening time, described working depth detection unit, rotation speed detection unit and timing module all connect with described control system, and described working depth detection unit and rotation speed detection unit are by equal for detected information synchronous driving to described control system;
Step 203, Product processing complete to judge: described control system is according to the Product processing scheme inputted in step one, and the temporal information that the detection unit of working depth described in integrating step 202 and the detected information of rotation speed detection unit and described timing module record, judge whether the course of processing of current machined product completes, and after judgement show that the course of processing of current machined product completes, enter step 204;
The actual machining state of step 204, product obtains: described control system is according in current machined product processing, the temporal information that described working depth detection unit and the detected information of rotation speed detection unit and described timing module record, it is thus achieved that the actual machining state information of current machined product;
The actual machining state of step 205, product diagnoses: will be obtained the actual machining state information of current machined product in step 204, contrast with the processing scheme inputted in step one, judge whether there are differences part between actual machining state information and described processing scheme: when judgement draws and there are differences part between actual machining state information and described processing scheme, illustrate that current machined product is defect ware; Otherwise, illustrate that current machined product is certified products;
Step 206, next Product processing condition diagnosing: the method described in step 201 to step 206, diagnose the machining state of next machined product;
Step 207, repeatedly repetition step 206, until completing the machining state diagnosis process of each product.
2. a kind of Digit Control Machine Tool Product processing state self-diagnosing method described in claim 1, it is characterised in that: parameter set unit described in step one is carried out the wireless communication terminal of two-way communication by communication and described control system.
3. a kind of Digit Control Machine Tool Product processing state self-diagnosing method described in claim 1 or 2, it is characterized in that: the detection unit of working depth described in step 202 and rotation speed detection unit are by after equal for detected information synchronous driving to described control system, received working depth detection unit and rotation speed detection unit are transmitted information by synchronization storage by described control system, and are stored in data storage.
4. a kind of Digit Control Machine Tool Product processing state self-diagnosing method described in claim 3, it is characterized in that: after received working depth detection unit and rotation speed detection unit are transmitted information by synchronization storage by described control system, in conjunction with the temporal information that described timing module records, making the machining information table of current machined product, in described machining information table, record has working depth and the rotary speed information of process tool described in each moment.
5. a kind of Digit Control Machine Tool Product processing state self-diagnosing method described in claim 1 or 2, it is characterised in that: the detection unit of working depth described in step 202 and rotation speed detection unit are installed in the tool driving shaft of described process tool.
6. a kind of Digit Control Machine Tool Product processing state self-diagnosing method described in claim 5, it is characterised in that: described rotation speed detection unit is photoelectric encoder.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108427373A (en) * | 2018-03-14 | 2018-08-21 | 四川九零科技有限公司 | Numerically-controlled machine tool machining locus intelligentized control method update the system |
| CN110134069A (en) * | 2019-05-08 | 2019-08-16 | 江苏金利宝电子科技有限公司 | Numerically-controlled machine tool self-diagnosing method and system |
| CN110275483A (en) * | 2018-03-16 | 2019-09-24 | 兄弟工业株式会社 | Numerical control device |
| CN115826503A (en) * | 2023-02-14 | 2023-03-21 | 深圳市玄羽科技有限公司 | Machine tool remote diagnosis method based on industrial internet big data |
-
2014
- 2014-10-31 CN CN201410605568.6A patent/CN105629879A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108427373A (en) * | 2018-03-14 | 2018-08-21 | 四川九零科技有限公司 | Numerically-controlled machine tool machining locus intelligentized control method update the system |
| CN110275483A (en) * | 2018-03-16 | 2019-09-24 | 兄弟工业株式会社 | Numerical control device |
| CN110134069A (en) * | 2019-05-08 | 2019-08-16 | 江苏金利宝电子科技有限公司 | Numerically-controlled machine tool self-diagnosing method and system |
| CN110134069B (en) * | 2019-05-08 | 2022-05-31 | 江苏金利宝电子科技有限公司 | Self-diagnosis method and system of numerical control machine tool |
| CN115826503A (en) * | 2023-02-14 | 2023-03-21 | 深圳市玄羽科技有限公司 | Machine tool remote diagnosis method based on industrial internet big data |
| CN115826503B (en) * | 2023-02-14 | 2023-04-14 | 深圳市玄羽科技有限公司 | Machine tool remote diagnosis method based on industrial internet big data |
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