JPS59209485A - Discriminating method of globule migration - Google Patents

Abstract

PURPOSE:To discriminate easily the type of a globule migration in real time by taking out the acoustic signal generated from an arc by means of a detector provided near a torch during welding as an electrical signal and displaying the frequency characteristic of said signal. CONSTITUTION:The sound generated from an arc during welding of materials 2 to be welded with a welding torch 1 is detected with a microphone 3 and is fed as an electrical signal to an amplifier 4 by which the signal is amplified then the amplified signal is fed to band-pass filters 51, 52-5n. Only the signal components of the pass frequency bands intrinsic to the respective own filters are passed therethrough and are outputted to rectifying and smoothing circuits 61, 62-6n. The outputs are rectified and smoothed and are outputted as level signals of DC to display parts 71, 72-7n. The above-mentioned output level signals are received there and the level state according to the input signal level thereof is displayed and outputted. The type of globule migration is easily discriminated by monitoring the display state.

Description

[Detailed description of the invention] Kinoe ψJ describes the droplet transfer form during arc welding in 441.
The present invention relates to another method for determining fa droplet migration.

In MIG general contact, F/IAG general contact, and carbon dioxide gas arc bath method, Y (3 drop transfer type (spray transfer (good condition), Global Beer transfer (poor condition), and short lees failure)
The difference in the quality of the weld (Y11) and the workability of the welding (failure condition) (fair) gives a large amount of E/r.4.

Conventionally, in order to determine the line type and line type, there was a method such as photographing the sea arc with an i-shape camera and distinguishing it on the surface. However, there was no method that could determine the droplet transfer type in real time.

The present invention has been made in view of the above-mentioned circumstances, and an object of the present invention is to provide a method for determining droplet transfer that can easily and on the spot determine the type of droplet transfer during welding.

The inventors of the present application analyzed arc generation noise under various welding conditions and found that the frequency characteristics of arc generation noise differ depending on the droplet transfer type. The present invention utilizes this method to provide a discrimination method for determining the droplet transfer type in real time from the frequency characteristics of the arc generation sound due to the slow droplet transfer pre-type.

- An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 shows the configuration of an embodiment of the present invention.
In the figure, ) is a welding torch, 2 is an object to be welded, 3 is a microphone for arc detection provided near the torch, 4 is an amplifier for amplifying the arc sound detection signal obtained from the microphone 3, 51+52+...5n are band pass filters with different transmission frequency bands, 61+62'+...6
n is the corresponding band bJ and transmission filter 51 +
52 +...Forward flow, smoothing circuit that rectifies and smoothes the output signal of 5n to obtain a DC level signal, 71+72 +...
・7n is the corresponding rectification, smoothing 11'' path, 61+
62+...6n output level signal received and its input 1
6 - A display section that displays and outputs the level status according to the bow level.

FIG. 2 shows that in the above embodiment, the frequency band is divided into 20 parts, and a band passing filter 51 is used.

52 , . . . 5n is set to 20 (n = 20), and the display frequency distribution at one time of spray transition is shown in Figure 3. Figure 3 shows the same state during globule transition. FIG.

Now, the operation of one embodiment will be explained with reference to FIGS. 831 to 3. While welding the workpiece 2 with the welding torch l, the welding arc generated sound at that time is detected by the microphone 3, and the signal is amplified by the amplifier 4 and then transmitted to each band transmission filter 51+52+...5n. The frequency is divided by frequency. Each of the above band pass filters 51+52+
. . 5n each outputs only a signal component in its own predetermined transmission frequency band, and the output signals correspond to the rectifying and smoothing circuits 61, 62, . . . 6, respectively.
The DC level is determined by n. Further, each level signal is supplied to the corresponding display section 71+72+...7n, and the state of the input signal level is displayed and output.

Examples of this display state (frequency distribution state) are shown in FIGS. 2 and 3. At this time, the welding arc sound signal detected by the microphone 3 contains many frequency components, and the arc sound during welding changes significantly due to changes in the droplet transfer type. Figure 2 shows a display example (frequency distribution state) of each display % fl (71 + 72-7 n (here, n = 20) in the display color at the time of spray transition, and Figure 3 shows the display color during spray transition. It shows the same state at the time.

The welding operator monitors the level display state of each display section 71+72+...7n, and if the display changes from the state shown in Fig. 2 to the state shown in Fig. 3, the cause may be the bath contact voltage. Welding work with good %N properties can be maintained by increasing the output pressure of the bath welding voltage or by interrupting welding to avoid defective welding.
．． -I can.

Furthermore, the transmission 3f'A of the band transmission b filter 711721...7n? 'lk area 1i:j mantissa is not fixed, arbitrary:
By making it possible to vary the Er, it is possible to cope with the jj and jj of the frequency caused by the jyt-j of the welding method, wire diameter, etc.

Above B:"F;12 As mentioned above, the sound generated from the arc during welding ♂U (;
−i is extracted as drowsiness id, and the frequency of the signal is 4.
゛) Indicating the characteristics, by classifying the Numazutsugi zoj type that falls during arc welding from the content, 2+'J,
During a flight of several people, the bath temperature transition format can be divided into 1)+1 flights and 1'f1'.

4. The J'r+i III diagram in the 21st issue is for explaining the case of Komei's fire. 3 and 3I2] are diagrams each showing an example of frequency characteristic display in the above embodiment.

1... Welding torch, 2... Work to be welded, 3... Microphone, 4... Amplifier, 51. 52+...5n
...Band pass filter, 61.62, ...6n...
・Rectifier 2 Heisei circuit, 71+72+...7n...Display section.

Applicant Sub-Agent Patent Attorney Suzue Takehiko Figure 1 Figure 2 3rd L block

Claims (1)

[Claims] The feature is that the sound fort Buddha code generated from the arc during welding is taken out as an electric code, the frequency characteristics of the code 66 are displayed, and the form of droplet transfer during arc welding is determined from the displayed self-answer. method for determining droplet transfer.