JPS6234755A - Machining condition managing apparatus for machine - Google Patents

Abstract

PURPOSE:To obtain a more sophisticated machining condition managing apparatus by providing a means for comparing between the actual machining pattern and the standard machining pattern to detect and analyze the abnormality of machine. CONSTITUTION:The voltage or position detected through a sensor resistor 19 and an optical sensor 21 are fed to an operating unit 25 then provided to a computor 27. The computor 27 will operate and store the variation of current with time through the sensor 19. On the basis of the variation of load current produced through actual machining, standard machining pattern is processed and stored through the computor 27. Actual machining pattern is normalized and compared with the standard machining pattern GP and upon separation of actual machining pattern more than allowable level from GP, it is detected as an abnormal condition to execute necessary processing. With such arrangement, normal/abnormal machining conditions can be detected while conforming to various conditions resulting in sophisticated management of machining.

Description

[Detailed description of the invention] [Technical field of invention] The present invention relates to a machining state management device for a machining machine.

[Description of prior art]

BACKGROUND ART Conventionally, for processing machines such as cutting machines using cutting tools, for example, tool breakage detection devices and processing abnormality detection devices have been proposed as one aspect of processing state management devices.

This tool damage detection device, for example, detects the load value of a processing machine, and if the detected value is large (far from the standard value), it detects an abnormal condition and stops the subsequent work.

These tool breakage detection devices cannot detect tool abnormalities unless there is a large change in load, but they can detect small tool abnormalities such as wear or machining conditions that are different from standard conditions. was a very difficult problem.

In addition, these conventional tool damage detection devices have fixed data for abnormality determination, and cannot be adapted to tool types, workpiece materials, and all other machining conditions. Therefore, if the determination conditions are carefully controlled, a normal state may be determined to be an abnormal state, making it difficult to set desired state detection conditions.

On the other hand, with the advent of FMS in recent years, machines have become multi-functional and have to perform various types of processing, and the emergence of processing state management devices for processing machines that can be adapted to all kinds of conditions. is desired.

[Purpose of the invention]

In view of the above-mentioned prior art, this invention can detect whether the machining state is normal or abnormal in accordance with the machining process, tool type, workpiece material type, and other conditions, including the detection of tool breakage. The purpose of the present invention is to provide a machining state management device for a machining machine that can output data for analysis and encourage the establishment of more advanced machining techniques.

[Structure of the invention]

As shown in FIG. 1, the present invention includes an actual machining pattern forming means for detecting the load amount of a machining machine over time and forming an actual machining pattern of the machining machine, and a standard work pattern formed by the means. standard processing pattern forming means for forming a standard processing pattern based on an appropriate number of actual processing patterns;
machining pattern comparison means for appropriately extracting and comparing characteristic parts between the actual machining pattern and the standard machining pattern; and an abnormal state name for detecting an abnormal condition of the machining machine based on the comparison process of the machining patterns by the means. A machining state management device for a machining machine, comprising: a detection means; and an analytic machining pattern output means for appropriately performing analytical processing on the actual machining pattern and the standard machining pattern and outputting these machining patterns. be.

[Embodiments of the invention]

Fig. 2 shows a system block diagram of a drilling machine, in which a spindle 15 is provided for a material table 13, and the current value of a motor 17 for rotating this spindle and the position of the spindle 15 are automatically adjusted. A sensor resistor 19 and an optical sensor 21 are provided for detecting the image. The detected amounts of the sensor resistor 19 and the optical sensor 21 are input to the arithmetic unit 25 in the detection module 23.

The arithmetic unit e25 detects the voltage drop across the sensor resistor 19, detects the position of the spindle 15 using the optical sensor 21, and outputs the results to the computer 27.

This computer 27 is also equipped with a display 29 and a keyboard 31, and can input various parameters, display load current waveforms, analysis processing results, etc.

Furthermore, this computer 27 is equipped with an external storage device 33 such as a floppy disk, and is capable of storing various kinds of captured data.

The computer 27 calculates the time change of the current value rK (t) in the sensor resistor 19, and displays it on the display 29.
and store it in the external storage device 33 when necessary. The computer 27 forms a standard machining pattern using GP (graph pattern) processing based on changes in load current values obtained during actual machining, and stores the pattern. In addition, the actual machining pattern is normalized and compared with the standard machining pattern GP obtained in this way, and the actual machining pattern is
If the dissociation exceeds the allowable value for P, it is detected as an abnormal state, and processing is stopped, an alarm is generated, and other necessary processing is performed.

The detailed operation of the processing state management device of the processing machine will be described below.

As shown in FIG. 3, detection mode 1 or setting mode 2 is specified by inputting from the keyboard 31. This detection mode is a mode for determining whether the actual machining pattern is abnormal or not, and the setting mode is a mode for forming a standard machining pattern from the actual machining pattern - when step 51゜setting mode 2 is specified , parameter input in the setting mode is performed. This parameter input includes various parameters such as tool number, drill diameter, plate thickness, allowable load variation range, allowable time, material, etc. One step 53° After inputting parameters in this setting mode, the GP processing flow is performed. A standard machining pattern is formed - step 55 In this GP processing flow, as shown in FIG. 4, the number of detections is specified using the keyboard 31, and the detection count C=
One step 101-105 in which the detection of the load current value is initialized to O and the detection of the load current value is started.By inputting this detection start signal,
The time count t=Q is set, the load signal from the sensor resistor 19 is input, and the input current value is
1 hour (is stored as a load current value) - Steps 107-111゜And this measurement frame of IK (t, C) is repeatedly drilled until the process is completed. The above-mentioned detection start signal MO1 and detection end signal MtJ are one step 113, 115 degrees based on the detection signal of the spindle 15 by the optical sensor 21, and the time change characteristics of the load current value until the drilling of the material is completed is obtained. If so, then each process is executed.This process includes: Life = Set life - Plate thickness Actual load length = Actual load length + Plate thickness Cutting time T (C) = t - Step 117 followed by detection count C is incremented by 1, and the second data collection of the actual machining pattern is performed in step 105-11 above.
One step 119,1 performed by repeating 7
21. In this way, the data of the actual machining pattern is repeatedly collected up to the designated number of detections, and when the designated number of detections is reached, the averaging process for forming the standard machining pattern is subsequently performed. This averaging process is performed as follows: Average value IGP (t) = [IK (t, 1) +... + IK (t, c)]/C Average cutting time T - (T (1) +... + T (C )) 10 average integral value - fIGP (t) dt I G Pa + ax, t l1ax = TG
The maximum value of P(t) and the time at that point are calculated - step 123. In this way, the actual machining pattern is traced an appropriate number of times, and by averaging them, a standard machining pattern is formed, and this standard machining pattern is is stored in the computer 27 as GP.

After the standard processing pattern is formed, the main 70- is returned to the detection mode 1 and enters the detection mode.

If detection mode 1 is specified in step 51,
One step 57° in which parameter input is executed in the detection mode. After parameter input, one step 59° in which the detection processing flow is executed. The detection processing flow is shown in FIGS. 5 and 7. As shown in the figure, the standard machining pattern IGP is displayed on the display 29 - Step 131 Next, actual machining is started, and when the optical sensor 21 detects the start of cutting on the spindle 15, the detection start signal MO is input. Step 133: Next, the load current value from the sensor resistor 19 is input, the load current value signal is processed as a current value signal in real time, and the IK (t) curve is displayed on the GP graph on the display 29 in real time - Step 135 -139° In this way, IK(t) is calculated repeatedly at every predetermined sampling time until the actual completion of machining is detected by the optical sensor 21, and is displayed in real time on the GP graph on the display 29. -Step 141. When the 143° machining is completed and the detection end signal MU is obtained, each process is subsequently executed. Each of these processes includes: life - life - plate thickness actual load length - actual load + plate thickness cutting FR sub = t integral value = fIK (t) dt l KIlaX, t laX - step 145゜Thus, the actual machining pattern is If detected, the process returns to the analysis processing flow - step 61. In this analysis processing flow, 1. ) (detection of time t ll1ax at llaX and its location, PO-
Calculate -order regression, standard deviation, and variance for each parameter of P5, cutting time, and integral value. These four results are sequentially stored in the external storage device 33.

After the analysis processing flow, it is determined whether or not the actual machining pattern is in an abnormal state - step 63. This abnormality detection processing flow is based on the flowchart of FIG. 6 and the display pattern of FIG. 8.

When entering the abnormality detection processing flow, the display 29 shows:
The GP shown in FIG. 8 is displayed - step 151. The load current value IK(t) in real time t of the actual machining pattern calculated in the detection process flow is normalized. As shown in FIG. 9, this normalization is performed by comparing each feature point P O'-P5' in the actual machining pattern IK obtained in the above detection process flow to the feature point pO-p5 in the standard machining pattern IGP. Match the time axes T of (PO′→p O, p 1−→P1・
), one step 153 is carried out by drawing the graph superimposed with IGP on the display 29. Then time 1 is set to 0, and the normalized graphs IK-(t) and IGI) of the actual machining pattern are drawn. (t) is made for each time point, and the actual machining pattern IK with respect to IGP is compared.
- is within the load fluctuation tolerance range δ - Steps 155-159゜If it is within the tolerance range δ, the process is repeated until the time T until the end of machining, and the actual machining pattern is compared to the standard machining pattern. One step to be compared 161° 163° On the other hand, if the load fluctuation does not fall within the allowable range δ in step 159, it is determined that the actual machining pattern is abnormal, and the range δ is continuously exceeded for more than the allowable time α with this load fluctuation. It is determined whether the limit has been exceeded. If the range δ is exceeded continuously for more than the allowable time α, it is determined to be an abnormal state, and an abnormality is displayed on the display 29 and an alarm is issued. If the fluctuation returns to within the allowable range δ, it is not determined that there is an abnormal state and processing continues.

If no abnormal state is detected in the above abnormality detection processing flow, the actual machining is repeated until the end of the work, and each of the above processes is executed at step 65.In addition, in the above embodiment, the load current of the spindle motor 17 due to the sensor resistor 19 Although standard machining patterns and actual machining patterns were formed based on changes in values, we also detected various parameters that show changes in one-to-one correspondence with time changes in torque, oil pressure, and the load of the processing machine used. Of course, it is also possible to detect changes and perform abnormal state detection and processing state monitoring using the same processing flow as above.

(Effect of the invention) This invention forms a standard machining pattern based on the actual machining pattern of a processing machine, compares the actual machining pattern with the standard machining pattern, and detects abnormal conditions. Even when materials, processing tools, and other various machining conditions change, it is possible to create an accurate standard machining pattern each time and compare it with the actual machining pattern, making it possible to accurately detect whether the machining status is normal or abnormal. It is something. Moreover, since it is also equipped with a means to output detected data for analysis, it becomes possible to use the data for establishing more advanced processing technology.

[Brief explanation of the drawing]

FIG. 1 is a claim correspondence diagram of the present invention, FIG. 2 is a system block diagram of an embodiment of the present invention, FIG. 3 is a flowchart showing the main flow of the computer in the above system, and FIG. 4 is a flowchart showing the main flow of the computer in the above system. GP processing flowchart, FIG. 5 is a detection processing flowchart in the above main flow, FIG. 6 is an abnormality detection processing flowchart in the above main flow, FIG. 7 is a diagram showing an example of the display in the above detection processing flow, and FIG. 8 is a diagram showing the above In the abnormality detection process flow (a diagram showing an example of a pull-up display, Figure 9 is the above abnormality detection process)
It is an explanatory diagram without showing normalization of the K graph. 15...Spindle 17...Motor 19...
- Sensor resistance 21... Optical sensor 23... Detection module 25... Arithmetic device 27... Computer 29... Display 31... Keyboard
33...External storage device Fig. 2〈 JHJI

Claims (2)

[Claims] (1) An actual machining pattern forming means that detects the load amount of the machining machine over time and forms an actual machining pattern of the machining machine, and a standard based on the appropriate number of actual machining patterns during standard work formed by the means. A standard machining pattern forming means for forming a machining pattern, a machining pattern comparison means for appropriately extracting characteristic parts and comparing the actual machining pattern and the standard machining pattern, and a machining pattern comparison process performed by the means It has an abnormal state detection means for detecting an abnormal state of the processing machine, and an analysis processing pattern output means for appropriately performing analysis processing on the actual processing pattern and the standard processing pattern and outputting these processing patterns. Processing status management device for processing machines. (2) The time axis of the actual machining pattern of the machining pattern comparison means and the analytical machining pattern output means is expressed by combining the time axis of the standard machining pattern and its length. A processing state management device for a processing machine according to scope 1.