CN102773586A - Method for determining welding process quality of pulse electric-arc welding - Google Patents

Method for determining welding process quality of pulse electric-arc welding Download PDF

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CN102773586A
CN102773586A CN2012102619708A CN201210261970A CN102773586A CN 102773586 A CN102773586 A CN 102773586A CN 2012102619708 A CN2012102619708 A CN 2012102619708A CN 201210261970 A CN201210261970 A CN 201210261970A CN 102773586 A CN102773586 A CN 102773586A
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time
sample
welding
peak
welding current
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李桓
丁雪萍
朱艳丽
顾小燕
韦辉亮
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Tianjin University
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Tianjin University
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Abstract

The invention discloses a method for determining the welding process quality of pulse electric-arc welding. The method comprises the following steps of: dividing a welding current waveform into a peak value stage and a basic value stage on the basis of threshold current, so as to obtain a peak value time through a peak value stage; acquiring a basic value time through the basic value stage; forming the peak value time and the basic value time into a cycle time, and taking at least one of the peak value time, the basic value time and the cycle time as a sample; acquiring average values of the welding current corresponding to the peak value time, the basic value time and the cycle time respectively, and taking at least one of three average values of the welding current as the sample; and carrying out standard deviation and coefficient variation analyses on the sample, finally measuring uniformity of electrical signals during the welding process. By adopting the method provided by the invention, stability of the welding process can be reflected more accurately and the precision is higher; moreover, feasibility of the method disclosed by the invention is verified by experiments.

Description

The good and bad method of a kind of definite pulse arc welding welding process
Technical field
The present invention relates to welding field, relate in particular to the good and bad method of a kind of definite pulse arc welding welding process.
Background technology
Pulse arc welding is a kind of welding method of high-efficiency high-quality; Joint quality and productivity ratio when being commonly used to improve the welding thin plate; Can under the situation of welding current (average current) subcritical electric current, can realize the molten drop spray transfer, and the pulsed electric current there is stirring action for the molten bath, makes grain refinement; Improve mechanical performance, be widely used in fields such as Aeronautics and Astronautics.Main welding parameter has peak point current, background current, time to peak, base value time, pulse frequency and dutycycle etc. in pulse arc welding; Because adjustable parameter is many; Appropriate to choose welding parameter stable significant with welding quality to guaranteeing welding process, and how to confirm effectively that welding process stability is to detect and the effective means of control welding process.
In recent years, the scholars that are engaged in the welding process analysis have obtained a lot of important achievement.For example: the CO of Mita development 2Gas shielded arc welding welding process analyzer; Professor D.Rehfeldt of Hanoverian, Germany university is to the characteristics at random of welding process; Proposed to adopt the probability density statistic law to extract the characteristic value of welding process quality information; And the mode with the Distribution Statistics figure shows; In order to the intrinsic physical attribute of analysis and evaluation melt pole electrical arc welding process, and supporting development the " Hanover's analyzer ".
The inventor finds to exist at least in the prior art following shortcoming and defect in realizing process of the present invention:
Above-mentioned work can well realize the detection of short circuit transition in the welding process, and pulse arc welding utilizes existing analysis means well not analyze, and precision is low.Main cause is that in the past research work is when analyzing welding process stability; Always welding process integral solder electric current and arc voltage signal waveform are analyzed; And welding current and arc voltage all are periodically variable in the pulse arc welding; If adopt analysis means in the past, can omit a lot of information, reliability is low.
Summary of the invention
The invention provides the good and bad method of a kind of definite pulse arc welding welding process, the present invention has improved the reliability of welding process and the precision of welding, sees hereinafter for details and describes:
The good and bad method of a kind of definite pulse arc welding welding process said method comprising the steps of:
(1) according to threshold current I ThWelding current waveform is divided into peak phase and base value stage, obtains time to peak through said peak phase; Obtain the base value time through the said base value stage;
(2) said time to peak and said base value time are formed cycle time, with in said time to peak, said base value time and said cycle time at least one as sample;
(3) obtain corresponding welding current mean value of said time to peak, said base value time and said cycle time respectively, with in 3 welding current mean values at least one as sample;
(4) said sample is carried out standard deviation and coefficient of variation analysis, weigh the uniformity of the signal of telecommunication in the welding process.
Said at least one with in said time to peak, said base value time and said cycle time is specially as sample:
With time to peak as sample; Or with the base value time as sample; Or with cycle time as sample; Or with time to peak and base value time respectively as sample; Or with time to peak and cycle time respectively as sample; Or with base value time and cycle time respectively as sample; Or with time to peak, base value time and cycle time respectively as sample.
Said at least one with in 3 welding current mean values is specially as sample:
The welding current mean value that time to peak is corresponding is as sample; Or the welding current mean value that the base value time is corresponding is as sample; Or the welding current mean value that cycle time is corresponding is as sample; Or the welding current mean value of welding current mean value that time to peak is corresponding and base value time correspondence is respectively as sample; Or the welding current mean value that time to peak is corresponding with cycle time correspondence welding current mean value respectively as sample; Or the welding current mean value that the base value time is corresponding with cycle time correspondence welding current mean value respectively as sample; Or the corresponding welding current mean value of the welding current mean value that time to peak is corresponding, base value time and cycle time corresponding welding current mean value respectively as sample.
The said standard deviation and the said coefficient of variation are specially:
S = [ Σ i = 1 n ( x i - x ‾ ) 2 / ( n - 1 ) ]
In the formula
Figure BDA00001937728900022
The mean value of-each sample; x i-Di i sample value; N-total sample number; Coefficient of variation ν is defined as
Figure BDA00001937728900023
The beneficial effect of technical scheme provided by the invention is: this method has been considered periodically variable characteristics in the pulse arc welding welding signal of telecommunication; Through with in time to peak, base value time and cycle time at least one as sample; With in 3 welding current mean values at least one as sample; Sample is carried out standard deviation and coefficient of variation analysis, weigh the uniformity of the signal of telecommunication in the welding process, can more accurately reflect welding process stability; Improved the reliability of welding process and the precision of welding, and through verification experimental verification the feasibility of this method.
Description of drawings
Fig. 1 is time to peak and the sketch map of base value time of obtaining provided by the invention;
Fig. 2 a is the sketch map of the welding current of test A provided by the invention;
Fig. 2 b is the power spectrum chart of test A provided by the invention;
Fig. 2 c is the probability density distribution figure of test A provided by the invention;
Fig. 3 a is the sketch map of the welding current of test B provided by the invention;
Fig. 3 b is the power spectrum chart of test B provided by the invention;
Fig. 3 c is the probability density distribution figure of test B provided by the invention;
Fig. 4 is the flow chart of the good and bad method of a kind of definite pulse arc welding welding process provided by the invention.
The specific embodiment
For making the object of the invention, technical scheme and advantage clearer, will combine accompanying drawing that embodiment of the present invention is done to describe in detail further below.
For the reliability that improves welding process and the precision of welding, the embodiment of the invention provides a kind of definite pulse arc welding welding process good and bad method, referring to Fig. 1, Fig. 2, Fig. 3 and Fig. 4, sees hereinafter for details and describes:
The good and bad method of a kind of definite pulse arc welding welding process may further comprise the steps:
101: according to threshold current I ThWelding current waveform is divided into peak phase (I ThWith top) and base value stage (I ThWith the lower part), obtain time to peak through peak phase; Obtain the base value time through the base value stage;
Referring to Fig. 1, time to peak is T P1, T P2, T P3T P (n-1), T PnThe base value time is T B1, T B2, T B3T B (n-1)Wherein, threshold current I ThBe meant mean value at selected T welding current in the time period.
102: time to peak and base value time are formed cycle time, with in time to peak, base value time and cycle time at least one as sample;
Wherein, in time to peak, base value time and cycle time at least one is specially as sample:
With time to peak T P1, T P2, T P3T P (n-1), T PnAs sample; Or with the base value time T B1, T B2, T B3T B (n-1)As sample; Or with T cycle time P1+ T B1, T P2+ T B2, T P3+ T B3T P (n-1)+ T B (n-1)As sample; Or time to peak and base value time analyzed as sample respectively; Or time to peak and cycle time analyzed as sample respectively; Or base value time and cycle time analyzed as sample respectively; Or time to peak, base value time and cycle time analyzed as sample respectively.
103: obtain corresponding welding current mean value of time to peak, base value time and cycle time respectively, with in 3 welding current mean values at least one as sample;
Wherein, in 3 welding current mean values at least one is specially as sample:
The peak time corresponding welding current average
Figure BDA00001937728900041
as samples; or base time value corresponding to the welding current average
Figure BDA00001937728900042
as samples; or the cycle time corresponding welding current average as samples; or peak time corresponding welding current average and Base value of time corresponding to the welding current average
Figure BDA00001937728900045
, respectively, as the sample; or peak time corresponding welding current average
Figure BDA00001937728900046
and cycle time corresponding welding current average
Figure BDA00001937728900047
Figure BDA00001937728900048
, respectively, as the sample; or base time value corresponding to the welding current average
Figure BDA00001937728900049
and the cycle time corresponding welding current average
Figure BDA000019377289000410
Figure BDA000019377289000411
, respectively, as the sample; or peak time corresponding welding current average
Figure BDA000019377289000412
Figure BDA000019377289000413
base time value corresponding to the welding current average
Figure BDA000019377289000414
and cycle time corresponding welding current average
Figure BDA000019377289000415
were used as samples.
104: sample is carried out standard deviation and coefficient of variation analysis, weigh the uniformity of the signal of telecommunication in the welding process.
Wherein, carry out standard deviation and coefficient of variation analysis, can understand the fluctuation range and the amplitude of variation of a welding process characteristic quantity well, be used to judge the quality of welding stability through mean value to welding current.
Standard deviation reflection welding parameter instantaneous value is around the distribution situation of its mean value, and the more little process of standard deviation is stable more.The coefficient of variation provides the size of welding parameter excursion relative parameter mean value, and the coefficient of variation is more little, and process is stable more.
Wherein, standard deviation S is defined as
S = [ Σ i = 1 n ( x i - x ‾ ) 2 / ( n - 1 ) ] - - - ( 1 )
In the formula
Figure BDA000019377289000417
The mean value of-each sample; x i-Di i sample value; N-total sample number;
Wherein, coefficient of variation ν is defined as
ν = ( S / x ‾ ) × 100 % - - - ( 2 )
Verify the good and bad method feasibility of a kind of definite pulse arc welding welding process that the embodiment of the invention provides with a concrete test below, see hereinafter for details and describe:
The embodiment of the invention is an example with two kinds of different welding technology tests; Utilize this method to analyze the difference of two kinds of welding process stability; And reliability for this method of checking; Prove by means of welding current waveform figure, power spectrum chart and probability density distribution figure simultaneously, proved that this method is feasible.
Welding system mainly comprises: Lincoln's pulsating welder V350-PRO (1) that U.S. The Lincoln Electric Company produces; This welding machine rated welding current is 350A; Five kinds of output mode switches are fit to different welding situation; Can be used for manual welding, MIG, TIG, pulse MIC and medicine core self-insurance weldering, have the carbon arc air gouging function.Hall voltage sensor (1), current sensor equipment such as (1).
The practical implementation step is following:
(1) preparation before the weldering: workpiece polishing; Build welding system, current impulse controller, electric current and voltage sensor are installed, installation method is that the cable of the anodal output of welding machine passes the hall band in the current sensor; Voltage sensor is connected on welding machine output positive and negative end respectively; Install, welding peak point current and background current, peak pulse duration, pulse frequency, wire feed rate and speed of welding are set, concrete welding parameter is as shown in table 1.Used wlding is produced by Tianjin Bridge Welding Materials Group Co., Ltd, and the welding wire model is H08Mn2Si, diameter 1.2mm;
(2) get into welding process, realize the soldering test under two kinds of different welding parameters of situation A and situation B respectively.
Table 1 pulse arc welding welding parameter
Figure BDA00001937728900052
Utilize the above method of introducing, analyze with the corresponding welding current signal of test B testing A, thereby judge the stable quality of welding process in this two bond pads test, the concrete analysis result sees table 2 and table 3.Comparative test A and the result of test B can know that the standard deviation and the coefficient of variation that test A is corresponding are less, explain that test A welding stability is better, and the welding stability of test B is relatively poor.And the corresponding standard deviation (5.86A) of welding current mean value in standard deviation (19.46A) that welding current mean value is corresponding in the time to peak section among the comparative test B and base value time period; Explanation peak value part fluctuation in welding current waveform figure is bigger, has short-circuit conditions to take place.
Table 2 is the statistical analysis of sample with time
Table 3 is the statistical analysis of sample with welding current mean value
Figure BDA00001937728900062
In order to verify the reliability of this method, utilize welding current waveform figure, power spectrum chart and probability density distribution figure to prove respectively, confirm its feasibility.Fig. 2 and Fig. 3 have shown oscillogram, power spectrum chart and its probability density distribution figure of test A with the welding current of test B correspondence.Can draw the basic frequency value in the welding current waveform according to power spectrum chart.Show in the power spectrum chart that test A and test B all spike occurred near frequency is 150Hz.Explain in the welding current waveform mainly by frequency to be that the signal of 150Hz is formed.The power spectrum chart of comparative test A and test B, the frequency ratio that latter's signal contains is more mixed and disorderly, has explained that the waveform fluctuation is bigger in the welding current.Corresponding welding current waveform figure, finding has short circuit to take place among the test B, and the welding process less stable of test B is described, coincide with the result who utilizes this method to judge.Two crests from welding current probability density distribution figure can confirmed test in the peak point current and the background current of welding current, the corresponding peak point current 230A of test A, background current 110A; Test B peak point current 215A, background current 100A can observe among the test A peak point current and background current probability of occurrence and explain that welding current waveform is even about equally from probability density distribution figure, and fluctuation is little, and welding stability is good; Test the probability of the probability of B peak point current, but the big electric current of 300A-600A is arranged, explained that short circuit phenomenon occurs less than background current, the welding process poor stability, this and welding current waveform figure are one to one, have verified the feasibility of this method.
In sum; The embodiment of the invention provides a kind of definite pulse arc welding welding process good and bad method, and this method has been considered periodically variable characteristics in the pulse arc welding welding signal of telecommunication, through with in time to peak, base value time and cycle time at least one as sample; With in 3 welding current mean values at least one as sample; Sample is carried out standard deviation and coefficient of variation analysis, weigh the uniformity of the signal of telecommunication in the welding process, can more accurately reflect welding process stability; Improved the reliability of welding process and the precision of welding, and through verification experimental verification the feasibility of this method.
It will be appreciated by those skilled in the art that accompanying drawing is the sketch map of a preferred embodiment, the invention described above embodiment sequence number is not represented the quality of embodiment just to description.
The above is merely preferred embodiment of the present invention, and is in order to restriction the present invention, not all within spirit of the present invention and principle, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (4)

1. the method that definite pulse arc welding welding process is good and bad is characterized in that, said method comprising the steps of:
(1) according to threshold current I ThWelding current waveform is divided into peak phase and base value stage, obtains time to peak through said peak phase; Obtain the base value time through the said base value stage;
(2) said time to peak and said base value time are formed cycle time, with in said time to peak, said base value time and said cycle time at least one as sample;
(3) obtain corresponding welding current mean value of said time to peak, said base value time and said cycle time respectively, with in 3 welding current mean values at least one as sample;
(4) said sample is carried out standard deviation and coefficient of variation analysis, weigh the uniformity of the signal of telecommunication in the welding process.
2. the good and bad method of a kind of definite pulse arc welding welding process according to claim 1 is characterized in that, said at least one with in said time to peak, said base value time and said cycle time is specially as sample:
With time to peak as sample; Or with the base value time as sample; Or with cycle time as sample; Or with time to peak and base value time respectively as sample; Or with time to peak and cycle time respectively as sample; Or with base value time and cycle time respectively as sample; Or with time to peak, base value time and cycle time respectively as sample.
3. the good and bad method of a kind of definite pulse arc welding welding process according to claim 1 is characterized in that, said at least one with in 3 welding current mean values is specially as sample:
The welding current mean value that time to peak is corresponding is as sample; Or the welding current mean value that the base value time is corresponding is as sample; Or the welding current mean value that cycle time is corresponding is as sample; Or the welding current mean value of welding current mean value that time to peak is corresponding and base value time correspondence is respectively as sample; Or the welding current mean value that time to peak is corresponding with cycle time correspondence welding current mean value respectively as sample; Or the welding current mean value that the base value time is corresponding with cycle time correspondence welding current mean value respectively as sample; Or the corresponding welding current mean value of the welding current mean value that time to peak is corresponding, base value time and cycle time corresponding welding current mean value respectively as sample.
4. the good and bad method of a kind of definite pulse arc welding welding process according to claim 1 is characterized in that the said standard deviation and the said coefficient of variation are specially:
S = [ Σ i = 1 n ( x i - x ‾ ) 2 / ( n - 1 ) ]
In the formula
Figure FDA00001937728800022
The mean value of-each sample; x i-the i sample value; N-total sample number;
Coefficient of variation ν is defined as
ν = ( S / x ‾ ) × 100 % .
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CN112894079A (en) * 2021-01-18 2021-06-04 南通博锐泰焊接科技有限公司 Digital pulse type direct current manual arc welding method and electric arc welding machine applying same

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Publication number Priority date Publication date Assignee Title
JP2019206015A (en) * 2018-05-28 2019-12-05 株式会社神戸製鋼所 Welding state determination device, welding state determination method and program
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Application publication date: 20121114