CN114700802B - Method and device for detecting broken knife - Google Patents
Method and device for detecting broken knife Download PDFInfo
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- CN114700802B CN114700802B CN202210338752.3A CN202210338752A CN114700802B CN 114700802 B CN114700802 B CN 114700802B CN 202210338752 A CN202210338752 A CN 202210338752A CN 114700802 B CN114700802 B CN 114700802B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
- B23Q17/09—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool
- B23Q17/0952—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool during machining
- B23Q17/0957—Detection of tool breakage
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Abstract
The embodiment of the invention discloses a method and a device for detecting a broken knife. In the cutting process of a machine tool, a tool identifier which is currently used is periodically obtained, the machine tool current and the machining position are periodically sampled, and sampling data of each tool are respectively recorded into a sampling file of the corresponding tool, wherein the sampling data comprise: machine tool current and machining position; when cutting machining is finished, determining one or more machining procedures corresponding to each cutter according to each machining position in a sampling file for each cutter, and calculating and recording a load threshold corresponding to each machining procedure of the cutter according to machine tool current sampled in each machining procedure of the cutter; and detecting the broken cutter of each processing procedure of each cutter according to the load threshold value corresponding to each processing procedure of each cutter. The embodiment of the invention improves the efficiency and accuracy of the broken knife detection.
Description
Technical Field
The invention relates to the technical field of numerical control systems, in particular to a method and a device for detecting a broken cutter.
Background
In the metal cutting process of the machine tool, if abnormal conditions occur, the impact damage is caused to a cutter in cutting and machining, so that the damage to a workpiece or an incomplete unqualified product is caused. The detection of such abnormal conditions is referred to as a knife break detection.
The existing knife break detection method is manual detection. Related signals are selected from a tracking interface integrated by a numerical control system manually, the selected signals are tracked and converted manually, whether the cutting machining process is abnormal or not is judged manually according to tracking and conversion results, and related parameters are modified manually according to experience if the cutting machining process is abnormal. The disadvantages of the above-described treatment methods are as follows:
1. the whole treatment process needs to be manually participated, so that related personnel are required to have more comprehensive understanding on the numerical control system, or the related documents of the numerical control system need to be referred to for completion, and the efficiency is low and the labor cost is high;
2. because of the changes of the cutter, the processing procedure, the spindle speed and the like, the load of the machine tool greatly fluctuates, and the judgment of complex conditions such as whether the machine tool is used for multi-working, whether the cutter is replaced, whether the machine tool is used for a spindle acceleration and deceleration stage and the like is carried out manually, the problem of misjudgment exists.
Disclosure of Invention
In view of this, the embodiment of the invention provides a method and a device for detecting a broken knife, so as to improve the efficiency and accuracy of the broken knife detection;
the embodiment of the invention also provides a non-transitory computer readable storage medium, a computer program product and electronic equipment, so as to improve the efficiency and accuracy of the broken cutter detection.
The technical scheme of the embodiment of the invention is realized as follows:
a method of detecting a break, the method comprising:
in the cutting process of a machine tool, a tool identifier which is currently used is periodically obtained, the machine tool current and the machining position are periodically sampled, and sampling data of each tool are respectively recorded into a sampling file of the corresponding tool, wherein the sampling data comprise: machine tool current and machining position;
when cutting machining is finished, determining one or more machining procedures corresponding to each cutter according to each machining position in a sampling file for each cutter, and calculating and recording a load threshold corresponding to each machining procedure of the cutter according to machine tool current sampled in each machining procedure of the cutter;
and detecting the broken cutter of each processing procedure of each cutter according to the load threshold value corresponding to each processing procedure of each cutter.
The calculating and recording of the load threshold corresponding to each machining procedure of the cutter comprises the following steps:
for each machining process of the tool, calculating an average value of all machine tool currents sampled in the machining process of the tool, determining a weighted average value of the machine tool currents in the machining process of the tool according to the average value and a maximum value of all machine tool currents sampled in the machining process of the tool, and carrying out weighted summation on the average value and the weighted average value to obtain a load threshold corresponding to the machining process of the tool.
The determining a weighted average of machine tool currents in the machining process of the tool based on the average and a maximum value of all machine tool currents sampled in the machining process of the tool, comprising:
searching for a first machine current between the average value and the maximum value that satisfies the following condition: and taking the difference value obtained by subtracting the preset current step from the first machine tool current as a searching minimum value, taking the sum value obtained by adding the preset current step to the first machine tool current as a searching maximum value, searching machine tool currents which are not smaller than the searching minimum value and not larger than the searching maximum value in all machine tool currents sampled in the machining process of the cutter, and taking the first machine tool current as the weighted average value if the ratio of the searched machine tool current to all the machine tool currents sampled in the machining process of the cutter is larger than the preset ratio.
The sampled data further includes: the rotating speed of the main shaft,
after the cutting machining is finished and before one or more machining procedures corresponding to the cutter are determined according to the machining positions in the sampling file, the method further comprises the following steps:
and for each piece of sampling data in the sampling file, if the rotating speed of the main shaft in the sampling data is not in the preset normal rotating speed range, neglecting the sampling data.
The sampled data further includes: sampling time of each piece of sampling data;
after the sampling data of each cutter are recorded in the sampling file of the corresponding cutter, the method further comprises the following steps:
and receiving a machine tool current display request for a cutter, determining a machining procedure corresponding to each piece of sampling data according to the machining position in each piece of sampling data in a sampling file of the cutter, drawing the machine tool current of each piece of sampling data into a machine tool current change curve of the machining procedure according to the sampling time from the beginning to the end of the sampling data, and displaying the machine tool current change curve of each machining procedure to a user.
After calculating and recording the load threshold value corresponding to each machining procedure of the cutter, the method further comprises the following steps:
and receiving a load threshold correction value of a machining process of a cutter, which is input by a user, and updating the recorded load threshold of the machining process of the cutter to be the sum of the load threshold and the load threshold correction value.
A break blade detection device, comprising:
the sampling module is used for periodically acquiring the tool identifier currently in use in the cutting machining process of the machine tool, periodically sampling the machine tool current and the machining position, and respectively recording the sampling data of each tool into the sampling file of the corresponding tool, wherein the sampling data comprises: machine tool current and machining position;
the learning module is used for determining one or more machining procedures corresponding to each cutter according to each machining position in the sampling file when the cutting machining is finished, and calculating and recording a load threshold value corresponding to each machining procedure of the cutter according to the machine tool current sampled in each machining procedure of the cutter;
and the detection module is used for detecting the broken cutter of each processing procedure of each cutter according to the load threshold value corresponding to each processing procedure of each cutter.
A non-transitory computer readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the steps of the break detection method of any of the above claims.
A computer program product comprising a computer program or instructions which, when executed by a processor, implement the steps of the method of detecting a break as claimed in any one of the preceding claims.
An electronic device, comprising: a processor and a memory, wherein:
a memory stores a program configured to, when executed by the processor, cause the processor to perform the steps of the break detection method as claimed in any one of the preceding claims.
According to the embodiment of the invention, the machine tool current and the machining position of each cutter are automatically sampled in the cutting machining process of the machine tool, the load threshold value of each machining procedure of each cutter is automatically calculated according to the sampling data when the cutting machining is finished, and then the cutter breakage detection is automatically carried out according to the load threshold value of each machining procedure of each cutter in the subsequent cutting machining process, so that the full-automatic processing of the load threshold value learning and cutter breakage detection of each machining procedure of each cutter is realized, the cutter breakage detection efficiency and accuracy are improved, and the cutter breakage detection cost is reduced.
Drawings
The above and other features and advantages of the present invention will become more apparent to those of ordinary skill in the art by describing in detail preferred embodiments thereof with reference to the attached drawings in which:
FIG. 1 is a flow chart of a method for detecting a broken blade according to an embodiment of the present invention;
FIG. 2 is a flowchart of a load threshold self-learning method according to an embodiment of the present invention;
FIG. 3 is an exemplary diagram of a query interface for a load threshold self-learning process provided by an embodiment of the present invention;
FIG. 4 is a flowchart of a method for querying a machine tool current change curve according to an embodiment of the present invention;
FIG. 5 is an exemplary diagram of a query interface for a machine tool current change curve provided by an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a break detection device according to an embodiment of the present invention.
Wherein, the reference numerals are as follows:
| reference numerals | Meaning of |
| 101～103 | Step (a) |
| 201～207 | Step (a) |
| 401～404 | Step (a) |
| 60 | Broken knife detection device |
| 61 | Sampling module |
| 62 | Learning module |
| 63 | Detection module |
Detailed Description
The present invention will be further described in detail with reference to the following examples, in order to make the objects, technical solutions and advantages of the present invention more apparent.
Fig. 1 is a flowchart of a method for detecting a broken blade according to an embodiment of the present invention, which specifically includes the following steps:
step 101: in the cutting process of a machine tool, a tool identifier which is currently used is periodically obtained, the machine tool current and the machining position are periodically sampled, and sampling data of each tool are respectively recorded into a sampling file of the corresponding tool, wherein the sampling data comprise: machine tool current and machining position.
In the cutting process of the machine tool, the numerical control center of the machine tool can maintain information such as a currently used tool identifier, a current machine tool current, a current machining position and the like in real time, so that in the step, the currently used tool identifier, the current machine tool current and the current machining position can be periodically acquired from the control center of the machine tool.
The machining position can be represented by an X (horizontal direction) coordinate and a Z (vertical direction) coordinate of the machining position.
Step 102: at the end of cutting machining, one or more machining processes corresponding to each tool are determined according to the machining positions in the sampling file, and the load threshold corresponding to each machining process of the tool is calculated and recorded according to the machine tool current sampled in each machining process of the tool.
Each machining process corresponds to a different machining position range, and therefore, the machining process can be determined according to the machining position.
Step 103: and detecting the broken cutter of each processing procedure of each cutter according to the load threshold value corresponding to each processing procedure of each cutter.
Specifically, if the machine tool is currently using a cutter A to execute the machining process X, a load threshold corresponding to the recorded machining process X of the cutter A is found, a corresponding real-time load is calculated in real time according to the current machine tool current, if the real-time load is larger than the load threshold, the load abnormality is determined, and a cutter breakage alarm is sent.
In the above embodiment, by automatically sampling the machine current and the machining position of each tool during the cutting process of the machine tool, and automatically calculating the load threshold value of each machining process of each tool according to the sampling data when the cutting process is finished, then automatically performing the broken tool detection according to the load threshold value of each machining process of each tool during the subsequent cutting process, the full-automatic processing of the load threshold value learning and the broken tool detection of each machining process of each tool is realized, the broken tool detection efficiency and accuracy are improved, and the broken tool detection cost is reduced.
In an optional embodiment, in step 102, calculating and recording the load threshold corresponding to each machining procedure of the tool includes: for each machining process of the tool, calculating an average value of all machine tool currents sampled in the machining process of the tool, determining a weighted average value of the machine tool currents in the machining process of the tool according to the average value and a maximum value of all machine tool currents sampled in the machining process of the tool, and carrying out weighted summation on the average value and the weighted average value to obtain a load threshold corresponding to the machining process of the tool.
In an alternative embodiment, in step 102, determining a weighted average of machine tool currents in the machining process of the tool based on the average and a maximum of all machine tool currents sampled in the machining process of the tool, includes: between the average value and the maximum value, a first machine current is searched for that satisfies the following condition: and taking the difference value obtained by subtracting the preset current step from the first machine tool current as a searching minimum value, taking the sum value obtained by adding the preset current step to the first machine tool current as a searching maximum value, searching machine tool currents which are not smaller than the searching minimum value and not larger than the searching maximum value in all the machine tool currents sampled in the machining process of the cutter, and taking the first machine tool current as the weighted average value if the ratio of the searched machine tool current to all the machine tool currents sampled in the machining process of the cutter is larger than the preset ratio.
In an alternative embodiment, the load threshold = (average × 150% + weighted average)/2.
In an alternative embodiment, the sampling data in step 101 further includes: the rotating speed of the main shaft,
in step 102, after finishing the cutting process and before determining one or more processing procedures corresponding to the tool according to the processing position in the sampling file, the method further comprises: and for each piece of sampling data in the sampling file, if the rotating speed of the main shaft in the sampling data is not in the preset normal rotating speed range, neglecting the sampling data.
In an alternative embodiment, the sampling data in step 101 further includes: sampling time of each piece of sampling data;
in step 102, after the sample data of each tool is recorded in the sample file of the corresponding tool, the method further includes: and receiving a machine tool current display request for a cutter, determining a machining procedure corresponding to each piece of sampling data according to the machining position in each piece of sampling data in a sampling file of the cutter, drawing the machine tool current of each piece of sampling data into a machine tool current change curve of the machining procedure according to the sampling time from the beginning to the end of the sampling data, and displaying the machine tool current change curve of each machining procedure to a user.
In an optional embodiment, after calculating and recording the load threshold value corresponding to each machining procedure of the tool in step 102, the method further includes: and receiving a load threshold correction value for a machining process of a cutter, which is input by a user, and updating the recorded load threshold of the machining process of the cutter to be the sum of the load threshold and the load threshold correction value.
Fig. 2 is a flowchart of a load threshold self-learning method according to an embodiment of the present invention, which specifically includes the following steps:
step 201: the sampling interval and the sampling duration are preset.
The sampling interval is the time interval between two adjacent sampling periods, and the sampling duration is the duration of each sampling period.
Step 202: after the cutting process of the machine tool is started, periodically acquiring a cutter identifier, a current machine tool current, a current spindle rotating speed, a current machining position and a current machining state which are currently used from a numerical control center according to a preset sampling interval and sampling time length, and storing the acquired machine tool current, spindle rotating speed, machining position, machining state and sampling time into a sampling file of a corresponding cutter.
The processing state mainly comprises: standby, running, abnormal and end states.
When the tool identifier is obtained, if the tool identifier is detected to be a new tool identifier, a sampling file is created for the tool, the sampling file is named by the tool identifier, and the sampled data of the tool acquired after the sampling file is stored in the sampling file. The content of each piece of sampling data includes: machine tool current, spindle rotation speed, machining position, machining state and sampling time, and can further comprise: number of sample period cycles, etc.
In practical applications, a query interface for a load threshold self-learning process may be provided. Fig. 3 is an exemplary diagram of a query interface, and fig. 3 is directed to an initial interface for load threshold self-learning, and as can be seen from fig. 3, the initial state is as follows:
1) The coordinates of the initial machining position are: x (horizontal direction) coordinates: 162.002mm (millimeters), Z (vertical direction) coordinate: -709.380;
2) The number of the current cutter (T) is 6;
3) The spindle initial rotation speed (S) is 0 rpm;
4) The sampling interval is 100ms (milliseconds), and the sampling duration is 1.00min (minutes);
5) Spindle rotation speed set point (S: set) =null;
6) Spindle rotational speed real value (S: act) =null;
7) The machine current real time value (sp.act.curr) is empty;
8) Machine tool current history maximum (sp.max.curr) =10.500A (amperes);
9) Current sample file (DataFile): mystudyt6;
10 The current real-time current (curr. Act) of the current tool when processing the current workpiece is empty;
11 Maximum current (curr. Max) of the current tool when machining the current workpiece is empty;
12 The average current (curr.ave) of the current tool when machining the current workpiece is empty.
Step 203: when it is determined that the cutting process is finished according to the processing state, the sampling file of each tool is sequentially read, and for each tool, steps 204 to 207 are respectively executed:
step 204: and (3) performing file verification on the current sampling file, wherein the verification passes, reading each piece of sampling data in the sampling file, and executing step 205 on each piece of sampling data.
File verification is as follows: and checking whether the sampling file is empty, if so, checking that the sampling file fails, or/and whether the check code of the sampling file is correct, and if not, checking that the sampling file fails.
Step 205: judging whether the piece of sampling data meets the following conditions: the spindle rotating speed in the sampling data is in a preset normal rotating speed range, the processing state in the sampling data is running, if yes, the machine tool current and the processing position in the sampling data are read, and the corresponding processing procedure is determined according to the processing position.
If not, the piece of sampling data is ignored.
Step 206: for all the read machine tool currents, the machine tool currents belonging to the same machining process are divided into a group according to the machining process.
Step 207: for each set of machine tool currents, calculating an average value of the set of machine tool currents, searching for a maximum value in the set of machine tool currents, calculating a weighted average value of the set of machine tool currents based on the average value and the maximum value of the set of machine tool currents, performing weighted calculation on the average value and the weighted average value of the set of machine tool currents, and taking the obtained weighted sum as a load threshold value of the machining process of the tool.
After the load threshold self-learning process is finished, the machine tool current of each machining procedure of each cutter can be drawn into a machine tool current change curve and displayed to a user, so that the user can know the machine tool current change condition of different cutters in different machining procedures conveniently.
Fig. 4 is a flowchart of a machine tool current change curve query method according to an embodiment of the present invention, which specifically includes the following steps:
step 401: and receiving a machine tool current change curve query request which is input by a user and aims at a cutter, wherein the query request carries the cutter identifier.
Step 402: and searching a sampling file of the cutter according to the cutter identifier, and determining a processing procedure corresponding to each processing position according to the processing position in each sampling data in the sampling file.
Step 403: and drawing a machine tool current change curve of the processing procedure according to the sampling time from first to second in each sampling data of the sampling data belonging to the same processing procedure, wherein the horizontal axis is the sampling time, and the vertical axis is the machine tool current value.
Step 404: and displaying the machine tool current change curves of the machining procedures of the drawn tool on the interface.
Fig. 5 is an exemplary diagram of a query interface of a machine tool current change curve, as shown in fig. 5, the currently queried tool is tool 2 (T2), and the queried machining position is: x coordinates: 162.002mm, Z coordinates: 709.380mm, the maximum current (MAX) in the currently displayed machine current profile is 0.298A, the current Average (AVE) is 0.174A, the number of POINTS (POINTS, i.e. the number of machine current values) contained on the profile is 100, the scaling (Scale) of the profile is 120%, and the corresponding sample file storage path of the profile is: c \Temp\mystudent 2.Txt, the machine current Value (VARCURR) corresponding to the current cursor is 0.057A, the abscissa of the curve is the sampling time, the unit is S (seconds), the ordinate is the machine current, and the unit is A (ampere).
In practical applications, the user may make corrections to the load threshold based on experience or the like. The specific process is as follows: and receiving a load threshold correction request which is input by a user and carries a correction password, a cutter identifier, a processing procedure identifier and a correction value, verifying whether the correction password in the request is correct, if so, searching a recorded load threshold according to the cutter identifier and the processing procedure identifier, and correcting the recorded load threshold to be the sum value obtained by adding the correction value to the load threshold.
The embodiment of the invention can be applied to any numerical control system such as: 828D numerical control system.
Fig. 6 is a schematic structural diagram of a break detection device 60 according to an embodiment of the present invention, where the device 60 mainly includes:
the sampling module 61 is configured to periodically obtain a tool identifier currently being used during a cutting process of the machine tool, periodically sample a machine tool current and a machining position, and record sampling data of each tool into a sampling file of a corresponding tool, where the sampling data includes: machine tool current and machining position.
The learning module 62 is configured to determine, for each tool sample file recorded by the sampling module 61, one or more machining processes corresponding to the tool according to each machining position in the sample file, and calculate and record a load threshold corresponding to each machining process of the tool according to the machine tool current sampled in each machining process of the tool, respectively.
The detection module 63 is configured to perform a broken tool detection on each machining process of each tool according to the load threshold corresponding to each machining process of each tool recorded by the learning module 62.
In an alternative embodiment, the learning module 62 calculates and records a load threshold corresponding to each machining process of the tool, including: for each machining process of the tool, calculating an average value of all machine tool currents sampled in the machining process of the tool, determining a weighted average value of the machine tool currents in the machining process of the tool according to the average value and a maximum value of all machine tool currents sampled in the machining process of the tool, and carrying out weighted summation on the average value and the weighted average value to obtain a load threshold corresponding to the machining process of the tool.
In an alternative embodiment, the learning module 62 determines a weighted average of machine tool currents during the machining process of the tool based on the average and a maximum of all machine tool currents sampled during the machining process of the tool, comprising: between the average value and the maximum value, a first machine current is searched for that satisfies the following condition: and taking the difference value obtained by subtracting the preset current step from the first machine tool current as a searching minimum value, taking the sum value obtained by adding the preset current step to the first machine tool current as a searching maximum value, searching machine tool currents which are not smaller than the searching minimum value and not larger than the searching maximum value in all the machine tool currents sampled in the machining process of the cutter, and taking the first machine tool current as the weighted average value if the ratio of the searched machine tool current to all the machine tool currents sampled in the machining process of the cutter is larger than the preset ratio.
In an alternative embodiment, the load threshold = (average × 150% + weighted average)/2.
In an alternative embodiment, the sampling data of the sampling module 61 further comprises: the rotating speed of the main shaft,
the learning module 62 further includes, after finishing the cutting process and before determining one or more machining processes corresponding to the tool according to the machining position in the sample file: and for each piece of sampling data in the sampling file, if the rotating speed of the main shaft in the sampling data is not in the preset normal rotating speed range, neglecting the sampling data.
In an alternative embodiment, the sampling data of the sampling module 61 further comprises: sampling time of each piece of sampling data;
after the learning module 62 records the sampling data of each tool into the sampling file of the corresponding tool, the learning module further includes: and receiving a machine tool current display request for a cutter, determining a machining procedure corresponding to each piece of sampling data according to the machining position in each piece of sampling data in a sampling file of the cutter, drawing the machine tool current of each piece of sampling data into a machine tool current change curve of the machining procedure according to the sampling time from the beginning to the end of the sampling data, and displaying the machine tool current change curve of each machining procedure to a user.
In an alternative embodiment, after the learning module 62 calculates and records the load threshold value corresponding to each machining process of the tool, the method further includes: and receiving a load threshold correction value for a machining process of a cutter, which is input by a user, and updating the recorded load threshold of the machining process of the cutter to be the sum of the load threshold and the load threshold correction value.
Embodiments of the present invention also provide a non-transitory computer readable storage medium storing instructions which, when executed by a processor, cause the processor to perform the steps of the break detection method as claimed in any one of the preceding claims.
Embodiments of the present invention also provide a computer program product comprising a computer program or instructions which, when executed by a processor, implement the steps of the method for detecting a break as claimed in any one of the preceding claims.
The embodiment of the invention also provides electronic equipment, which comprises: a processor and a memory, wherein: the memory stores a program configured to, when executed by the processor, cause the processor to perform the steps of the break detection method as set forth in any one of the preceding claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (8)
1. The method for detecting the broken knife is characterized by comprising the following steps:
in the cutting process of a machine tool, a tool identifier which is currently used is periodically obtained, the machine tool current and the machining position are periodically sampled, and sampling data of each tool are respectively recorded into a sampling file of the corresponding tool, wherein the sampling data comprise: machine tool current and machining position;
determining one or more machining procedures corresponding to each cutter according to each machining position in a sampling file aiming at the sampling file of each cutter when cutting machining is finished;
calculating an average value of all machine tool currents sampled in the machining process of the cutter for each machining process of the cutter, and sampling to obtain a maximum value of all machine tool currents in the machining process of the cutter;
searching for a first machine current between the average value and the maximum value that satisfies the following condition: taking the difference value obtained by subtracting the preset current step from the first machine tool current as a searching minimum value, taking the sum value obtained by adding the preset current step to the first machine tool current as a searching maximum value, and searching machine tool currents which are not smaller than the searching minimum value and not larger than the searching maximum value in all the machine tool currents sampled in the machining procedure of the cutter; if the ratio of the searched machine tool current to all the machine tool currents sampled in the machining process of the cutter is greater than a preset ratio, taking the first machine tool current as a weighted average;
carrying out weighted summation on the average value and the weighted average value to obtain a load threshold value corresponding to the machining procedure of the cutter;
and detecting the broken cutter of each processing procedure of each cutter according to the load threshold value corresponding to each processing procedure of each cutter.
2. The method of claim 1, wherein the sampled data further comprises: the rotating speed of the main shaft,
after the cutting machining is finished and before one or more machining procedures corresponding to the cutter are determined according to the machining positions in the sampling file, the method further comprises the following steps:
and for each piece of sampling data in the sampling file, if the rotating speed of the main shaft in the sampling data is not in the preset normal rotating speed range, neglecting the sampling data.
3. The method of claim 1, wherein the sampled data further comprises: sampling time of each piece of sampling data;
after the sampling data of each cutter are recorded in the sampling file of the corresponding cutter, the method further comprises the following steps:
and receiving a machine tool current display request for a cutter, determining a machining procedure corresponding to each piece of sampling data according to the machining position in each piece of sampling data in a sampling file of the cutter, drawing the machine tool current of each piece of sampling data into a machine tool current change curve of the machining procedure according to the sampling time from the beginning to the end of the sampling data, and displaying the machine tool current change curve of each machining procedure to a user.
4. The method of claim 1, further comprising, after calculating and recording the load threshold value for each machining process of the tool:
and receiving a load threshold correction value of a machining process of a cutter, which is input by a user, and updating the recorded load threshold of the machining process of the cutter to be the sum of the load threshold and the load threshold correction value.
5. A break blade detection device (60), characterized in that it comprises:
the sampling module (61) is used for periodically acquiring the tool identifier currently being used in the cutting process of the machine tool, periodically sampling the machine tool current and the machining position, and respectively recording the sampling data of each tool into the sampling file of the corresponding tool, wherein the sampling data comprises: machine tool current and machining position;
a learning module (62) for determining, for each tool, one or more machining processes corresponding to the tool according to the machining positions in the sampling file for each tool at the end of the cutting machining,
calculating an average value of all machine tool currents sampled in the machining process of the cutter for each machining process of the cutter, and sampling to obtain a maximum value of all machine tool currents in the machining process of the cutter; searching for a first machine current between the average value and the maximum value that satisfies the following condition: taking the difference value obtained by subtracting the preset current step from the first machine tool current as a searching minimum value, taking the sum value obtained by adding the preset current step to the first machine tool current as a searching maximum value, and searching machine tool currents which are not smaller than the searching minimum value and not larger than the searching maximum value in all the machine tool currents sampled in the machining procedure of the cutter; if the ratio of the searched machine tool current to all the machine tool currents sampled in the machining process of the cutter is greater than a preset ratio, taking the first machine tool current as a weighted average; carrying out weighted summation on the average value and the weighted average value to obtain a load threshold value corresponding to the machining procedure of the cutter;
and the detection module (63) is used for detecting the broken cutter of each processing procedure of each cutter according to the load threshold value corresponding to each processing procedure of each cutter.
6. A non-transitory computer readable storage medium storing instructions which, when executed by a processor, cause the processor to perform the steps of the break detection method according to any one of claims 1 to 4.
7. A computer program product comprising a computer program or instructions which, when executed by a processor, carries out the steps of the method of broken blade detection as claimed in any one of claims 1 to 4.
8. An electronic device, comprising: a processor and a memory, wherein:
a memory stores a program configured to cause the processor to perform the steps of the break detection method according to any one of claims 1 to 4 when executed by the processor.
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| CN202210338752.3A CN114700802B (en) | 2022-03-30 | 2022-03-30 | Method and device for detecting broken knife |
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| CN202210338752.3A CN114700802B (en) | 2022-03-30 | 2022-03-30 | Method and device for detecting broken knife |
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| CN114700802A CN114700802A (en) | 2022-07-05 |
| CN114700802B true CN114700802B (en) | 2023-09-05 |
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