CN104614075A - Non-contact transient welding temperature field measurement method - Google Patents

Non-contact transient welding temperature field measurement method Download PDF

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Publication number
CN104614075A
CN104614075A CN201510028477.5A CN201510028477A CN104614075A CN 104614075 A CN104614075 A CN 104614075A CN 201510028477 A CN201510028477 A CN 201510028477A CN 104614075 A CN104614075 A CN 104614075A
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China
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welding
temperature
welding temperature
temperature field
data
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CN201510028477.5A
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Chinese (zh)
Inventor
付秀丽
潘延安
安增辉
门秀花
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University of Jinan
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University of Jinan
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Priority to CN201510028477.5A priority Critical patent/CN104614075A/en
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Pending legal-status Critical Current

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Abstract

The invention discloses a non-contact transient welding temperature field measurement method. The non-contact transient welding temperature field measurement method includes steps that (1) using a thermal infrared imager to measure a welding process, and gathering welding images and data; (2) using the measured data to build a local welding temperature field mathematical model; (3) building a welding temperature regression equation and correcting; (4) using the welding temperature regression equation to forecast and verify a welding temperature incapable of being measured; (5) substituting the forecast and verified data into the local welding temperature field mathematical model of the step 2 to obtain a global welding temperature field mathematical model. The non-contact transient welding temperature field measurement method is capable of effectively eliminating the influences of arc light on the welding temperature field measurement through a numerical simulation method, and the actual temperature field of the transient welding temperature field can be precisely forecast and simulated.

Description

A kind of contactless transient state field of welding temperature measuring method
Technical field
The present invention relates to a kind of contactless transient state field of welding temperature measuring method, belong to field of measuring technique.
Background technology
Along with the progress of technology and the intensification to welding understanding, the impact of field of welding temperature welding quality more and more causes everybody attention.
The measurement of field of welding temperature is divided into contact and contactless two kinds.Contact shortcoming is more, and measuring process is complicated, and is difficult to obtain multiple spot and even whole audience temperature simultaneously; Thermal infrared imager thermometric rule as one of eyes with non-contact method can carry out temperature field observation and disposable acquisition whole audience temperature information in real time.
At present, because infrared temperature-test technology has noncontact, do not disturb the advantages such as dut temperature field, be widely used in each field.But infrared temperature-test technology also has its limitation, such as, strong arc light disturbs the measurement accuracy in the temperature field, molten bath zone, front made to be difficult to ensure.To this, the general interference adopting the way of baffle plate or filtering to reduce arc light, although this method can reduce part interference, the existence that can not fundamentally avoid interference.Therefore propose a kind of realization simple to operate, easy, also may can simulate the comprehensive measuring method in integral solder temperature field compared with Measurement accuracy, seem particularly important.
Summary of the invention
The deficiency that the object of the invention is for above-mentioned measuring method proposes a kind of contactless transient state field of welding temperature measuring method, and the method by transient state infrared image and data processing, can simulate integral solder temperature field, is used for instructing and improving welding job.
The object of the invention is to be achieved through the following technical solutions.
A kind of contactless transient state field of welding temperature measuring method, is characterized in that: its step is as follows.
(1) use infrared heat image instrument measuring welding process, gather welding image and data.During welding, use two uncooled IRFPA focal plane thermal infrared imagers to measure welding process, obtain Infrared Thermogram and the data of field of welding temperature respectively, preserve the image and data that record.
(2) measurement data is utilized to set up local welding mathematic model of temperature field.The field of welding temperature data importing Matlab mathematics plot analysis software wanting a certain moment of measuring, obtain its three-dimensional temperature field and dimensional isothermal line, set up the mathematical model in local welding temperature field, the temporary transient vacancy of the temperature spot lacked in temperature field.
(3) set up welding temperature regression equation and correct.Two groups of data that utilization is measured above, setting up respectively with displacement is the regression equation of independent variable about temperature, utilizing previously by measuring known data, correcting regression equation.
(4) welding temperature regression equation is utilized to predict welding temperature point cannot be measured and verify.Two regression equations using step to set up, predict the field of welding temperature temperature spot that cannot record due to reasons such as the change of surface of test piece state, arc lights respectively.First, to infrared thermal imagery as in the region that cannot measure carry out stress and strain model, to the temperature on net point, regression equation is used to carry out point prediction, try to achieve the temperature of each point, each like this point can try to achieve two corresponding temperature, in order to data are accurate, and can using the data of the average of two data as corresponding point.
(5) the local welding mathematic model of temperature field that the data of prediction substitution step 2 is set up, integral solder mathematic model of temperature field is obtained.Predicting the temperature data that obtains, adding to step 2 according to temperature spot position and setting up in local temperature field mathematical model and go, making up the temperature lacked in model, set up integral solder temperature field.
Actual gain of the present invention is: experiment measuring is combined with theory deduction, mutually verifies, simple to operation; And use thermal infrared imager, Technical comparing is ripe, and its data acquisition is comparatively easy.Derived by data, comparatively easily, accurately can obtain the temperature data at integral solder position, and the mathematical model of corresponding field of welding temperature can be set up; Workable, solve the difficult problem that simple experiment cannot obtain integral solder temperature field, the improvement for later welding operation provides theoretical foundation and technical support.
Accompanying drawing explanation
Fig. 1 is measuring state schematic diagram of the present invention.
Fig. 2 is the thermal infrared imager location drawing in the present invention.
Fig. 3 is that the present invention lacks temperature spot schematic diagram.
Fig. 4 is that the present invention calculates T(4,4) and temperature spot schematic diagram.
Fig. 5 is technical scheme implementing procedure figure of the present invention.
Embodiment
Be measured as embodiment with Welded transient state temperature field below, and by reference to the accompanying drawings detailed introduction done to the present invention.
Welded transient state temperature field measuring method, its step is as follows.
(1) as shown in Figure 1 and Figure 2, first, before Welded, measuring equipment is correctly installed.Welding aluminum sheets is adopted to be 5052 type aluminium sheets in the present embodiment; Two thermal infrared imagers are SAT-HY6000A type thermal infrared imager; Welding machine model is YC-300WX type TIG welding machine.Two thermal infrared imagers are arranged on welding gun both sides respectively, thermal infrared imager vertical direction distance mother metal about 450mm, horizontal direction distance weld seam about 600mm, they are connected with computing machine, computing machine is then preserved the data uploaded and is processed at any time, and, keep the relative position of thermal infrared imager and welding gun, along with the movement of welding gun, thermal infrared imager moves thereupon.
(2) mathematical model of aluminium alloy local welding transient state temperature field is set up.Measure the field of welding temperature in a certain moment as required, the data of infrared heat image instrument measuring in invocation step 1, due to interference such as arc lights, molten bath zone, front temperature cannot be recorded, as shown in Figure 3, T (4,4), T (4,5), T (5,4), T (5,5) 4 temperature datas cannot obtain by Measurement accuracy.The welding temperature data importing Matlab mathematics plot analysis software that can record in step 1, set up field of welding temperature mathematical model, because data division disappearance, so the mathematical model in local welding temperature field can only be set up, below the part of disappearance is, numerical simulation to be used to obtain.
(3) by the data that analytical procedure 1 records, regression equation is set up.The temperature in Welded temperature field is mainly from welding gun, and the temperature on mother metal, then mainly by the conduction of mother metal self, so the portion temperature near welding gun and molten bath is higher, along with the increase from molten bath distance, temperature is then more and more lower, the correlationship utilizing distance and temperature and the two groups of data measured above, use computing machine can obtain two Nonlinear regression equation, wherein displacement is independent variable, in the hope of temperature spot T(4, and 4) be example, utilizing T(4,4) data of the data of being expert at and column can set up two regression equations.After obtaining regression equation, utilize the temperature spot surveyed on the one hand, whether equation is correctly verified, on the other hand, by calculating the conspicuousness obtaining equation.
(4) temperature prediction, two regression equations using step 3 to set up, predict the field of welding temperature temperature spot that cannot record due to reasons such as the change of surface of test piece state, arc lights respectively.Same with T(4,4) put as example, first, determine T (4,4) temperature spot and the relative displacement at zero point, then, displacement is brought into two regression equations, tries to achieve two T(4,4) temperature, in order to data are accurate, can using the data of the average of two data as T (4,4), in like manner can in the hope of other temperature such as T (4,5), T (5,4), as shown in Figure 4, this process, by programming and conditions setting, can make computing machine automatically realize.
(5) data that upper pacing obtains are substituted into the mathematical model in the local welding temperature field established above, the part of the temperature lacked in supplementary mathematical model above, so just obtains the integral solder temperature field in a certain moment.

Claims (1)

1. a contactless transient state field of welding temperature measuring method, is characterized in that: the steps include:
(1) use infrared heat image instrument measuring welding process, gather welding image and data;
(2) measurement data is utilized to set up local welding mathematic model of temperature field;
(3) set up welding temperature regression equation and correct;
(4) welding temperature regression equation is utilized to predict welding temperature point cannot be measured and verify;
(5) the local welding mathematic model of temperature field that the data of prediction substitution step 2 is set up, integral solder mathematic model of temperature field is obtained.
CN201510028477.5A 2015-01-21 2015-01-21 Non-contact transient welding temperature field measurement method Pending CN104614075A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
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WO2018050015A1 (en) * 2016-09-19 2018-03-22 舍弗勒技术股份两合公司 Temperature acquisition method and apparatus for target element, and method and apparatus for evaluating lifetime of bearing
CN109163831A (en) * 2018-08-21 2019-01-08 南京中车浦镇城轨车辆有限责任公司 A kind of ultrasonic wave residual stress measuring method
CN115026406A (en) * 2022-05-31 2022-09-09 大连理工大学 Thermal infrared imager-based friction stir welding core region temperature in-situ characterization method

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018050015A1 (en) * 2016-09-19 2018-03-22 舍弗勒技术股份两合公司 Temperature acquisition method and apparatus for target element, and method and apparatus for evaluating lifetime of bearing
CN109163831A (en) * 2018-08-21 2019-01-08 南京中车浦镇城轨车辆有限责任公司 A kind of ultrasonic wave residual stress measuring method
CN109163831B (en) * 2018-08-21 2020-11-13 南京中车浦镇城轨车辆有限责任公司 Ultrasonic residual stress measuring method
CN115026406A (en) * 2022-05-31 2022-09-09 大连理工大学 Thermal infrared imager-based friction stir welding core region temperature in-situ characterization method
CN115026406B (en) * 2022-05-31 2023-02-14 大连理工大学 In-situ characterization method for temperature of friction stir welding core region based on thermal infrared imager

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