CN115555756A - Detection process for performance of welded joint in postweld heat treatment - Google Patents
Detection process for performance of welded joint in postweld heat treatment Download PDFInfo
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- CN115555756A CN115555756A CN202211059686.2A CN202211059686A CN115555756A CN 115555756 A CN115555756 A CN 115555756A CN 202211059686 A CN202211059686 A CN 202211059686A CN 115555756 A CN115555756 A CN 115555756A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K31/00—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups
- B23K31/12—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups relating to investigating the properties, e.g. the weldability, of materials
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- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K31/00—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups
- B23K31/12—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups relating to investigating the properties, e.g. the weldability, of materials
- B23K31/125—Weld quality monitoring
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Abstract
The application relates to the technical field of pipeline welding, in particular to a process for detecting the performance of a welded joint through postweld heat treatment. It specifically discloses: acquiring heat treatment parameter data of a welding joint, cooling the welding joint to room temperature, and carrying out performance detection on the welding joint; acquiring a performance detection evaluation factor, setting a sampling position and sampling times according to the performance detection evaluation factor, and generating a performance test analysis result; adjusting the heat treatment parameters of the welding joints of the next batch according to the performance detection analysis result; by setting the hardness evaluation factor, the mechanical property evaluation factor and the metallographic structure evaluation factor, and setting the related sampling position and sampling frequency, the test accuracy is ensured. By setting the heat treatment temperature compensation coefficient matrix, factors which may influence the service life of the welding joint are analyzed in time according to the test result, heat treatment working parameters are corrected, the welding heat treatment process is optimized, and the service life of the welding joint is prolonged.
Description
Technical Field
The application relates to the technical field of pipeline welding, in particular to a process for detecting the performance of a welded joint through postweld heat treatment.
Background
With the increasingly strict national environmental protection requirements, high-parameter environmental-protection thermal power plants become development directions, the materials used by four pipelines of the thermal power plants are increasingly higher, the specifications are increasingly larger, and the technological requirements of welding and heat treatment are also increasingly strict. The traditional ceramic resistance heating mode is used for postweld heat treatment, so that the high-alloy thick-wall pipe has certain limitation, and the temperature difference between the inner wall and the outer wall of the pipe is large in the heating process, so that the heat treatment effect is poor. In addition, the heating time required by the traditional ceramic resistance heating for heat treatment is long, and certain influence is brought to the project with short construction period. The heat treatment technology of the pipeline by utilizing the medium-frequency current electromagnetic induction heating principle can effectively solve the problems.
However, in the prior art, the performance of the welded joint subjected to postweld heat treatment cannot be comprehensively tested, the weld quality inspection accuracy is low, and the weld heat treatment parameters cannot be adjusted in time to optimize the welding heat treatment process.
Disclosure of Invention
The purpose of this application is: in order to solve the technical problems, the accuracy of weld quality inspection is improved, and the welding heat treatment process flow is optimized. The application provides a process for detecting the performance of a welded joint through postweld heat treatment.
In some embodiments of the application, the hardness evaluation factor, the mechanical property evaluation factor and the metallographic structure evaluation factor are set, and the related sampling position and sampling frequency are set, so that the hardness test, the mechanical property test and the metallographic structure analysis are performed on the welding joint, and the test accuracy is ensured.
In some embodiments of the application, by setting the heat treatment temperature compensation coefficient matrix, the factors which may affect the service life of the welding joint are analyzed in time according to the test result, the heat treatment working parameters are corrected, the welding heat treatment process is optimized, and the service life of the welding joint is prolonged.
In some embodiments of the present application, a process for detecting the performance of a weld joint by post-weld heat treatment is provided, comprising:
the method comprises the following steps: acquiring heat treatment parameter data of a welding joint, cooling the welding joint to room temperature, and performing performance detection on the welding joint;
step two: acquiring a performance detection evaluation factor, setting a sampling position and sampling times according to the performance detection evaluation factor, and generating a performance test analysis result;
step three: adjusting the heat treatment parameters of the welding joints of the next batch according to the performance detection analysis result;
wherein, the performance detection evaluation factor in the second step comprises: hardness evaluation factors, mechanical property evaluation factors and metallographic structure evaluation factors.
In some embodiments of the present application, the second step comprises:
setting a welding seam, heat affected zones on two sides, and base metal zones on two sides as sampling positions of hardness evaluation factors;
presetting a first interval angle, and setting a sampling point at every first preset angle along the circumference of the pipeline;
presetting a pipeline thickness matrix A, and setting A (A1, A2, A3), wherein A1 is a first preset pipeline thickness, A2 is a second preset pipeline thickness, A3 is a third preset pipeline thickness, and A1 is more than A2 and less than A3;
presetting a sampling frequency matrix B, and setting B (B1, B2, B3), wherein B1 is a first preset sampling frequency, B2 is a second preset sampling frequency, B3 is a third preset sampling frequency, and B1 is more than B2 and less than B3;
acquiring the real-time pipeline thickness a, and setting the real-time sampling times B according to the relation between the preset pipeline thickness matrix A and the preset sampling times matrix B, wherein the relation specifically comprises the following steps:
if a is less than A1, setting a first preset sampling frequency B1 as a real-time sampling frequency B;
if A1 is more than a and less than A2, setting a second preset sampling frequency B2 as a real-time sampling frequency B;
and if A2 is more than a and less than A3, setting a third preset sampling frequency B3 as a real-time sampling frequency B.
In some embodiments of the present application, the third step includes:
acquiring real-time sampling data of a plurality of hardness evaluation factor sampling positions, and generating evaluation data values of hardness evaluation factors;
generating a hardness evaluation result of each sampling position according to the evaluation data value of the hardness evaluation factor and a preset hardness standard evaluation value;
and acquiring a hardness evaluation failing point value, and adjusting the heat treatment parameters of the welding joints of the next batch if the hardness evaluation failing point value is greater than a preset hardness evaluation failing point threshold value.
In some embodiments of the present application, the adjusting the heat treatment parameters of the next batch of welded joints includes:
when the evaluation data value of the hardness evaluation factor is smaller than the preset hardness standard evaluation value, generating a difference value between the evaluation data value of the sampling position with unqualified evaluation results and the preset hardness standard evaluation value, and generating a difference value average value;
and setting a heat treatment temperature compensation coefficient according to the difference average value, and setting a heat treatment temperature T0 of the next batch of welding joints according to the heat treatment temperature compensation coefficient and the heat treatment temperature T.
In some embodiments of the present application, the setting the thermal treatment temperature compensation coefficient includes:
presetting a difference average value matrix C, and setting C (C1, C2, C3, C4), wherein C1 is a first preset difference average value, C2 is a second preset difference average value, C3 is a third preset difference average value, C4 is a fourth preset difference average value, and C1 is more than C2 and more than C3 and less than C4;
setting a preset heat treatment temperature compensation coefficient matrix D, and setting D (D1, D2, D3.d 4), wherein D1 is a first preset heat treatment temperature compensation coefficient, D2 is a second preset heat treatment temperature compensation coefficient, D3 is a third preset heat treatment temperature compensation coefficient, D4 is a fourth preset heat treatment temperature compensation coefficient, and D1 is more than 0.95 and less than D2 and less than D3 and less than D4 and less than 1
Obtaining a difference average value C, setting a heat treatment temperature compensation coefficient D according to a preset difference average value matrix C and a preset heat treatment temperature compensation coefficient matrix D, and setting a heat treatment temperature T0 of the next batch of welding joints according to the heat treatment temperature compensation coefficient D and the heat treatment temperature T, wherein the difference average value C specifically comprises the following steps:
when C1 is more than C and less than C2, setting a fourth preset heat treatment temperature compensation coefficient d4 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 4T of the next batch of welding joints;
when C2 < C < C3, setting a third preset heat treatment temperature compensation coefficient d3 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 3T of the next batch of welding joints
When C3 < C < C4, setting a second preset heat treatment temperature compensation coefficient d2 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 2T of the next batch of welding joints
And when C is more than C4, setting the first preset heat treatment temperature compensation coefficient d1 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 1T of the next batch of welding joints.
In some embodiments of the present application, the second step further comprises:
setting the sampling positions of mechanical property evaluation factors from the inner wall to the outer wall of the welded joint at 6 o 'clock and 12 o' clock, and selecting a plurality of sampling points to perform room temperature tensile test;
presetting a room temperature tensile test point numerical value matrix E, and setting E (E1, E2, E3), wherein E1 is a first preset room temperature tensile test point numerical value, E2 is a second preset room temperature tensile test point numerical value, E3 is a third preset room temperature tensile test point numerical value, and E1 is more than E2 and less than E3;
acquiring the real-time pipeline thickness a, and setting a real-time room temperature tensile test point value E according to the relation between the preset pipeline thickness matrix A and the preset room temperature tensile test point value matrix E, wherein the relation specifically comprises the following steps:
if a is smaller than A1, setting a first preset room temperature tensile test point value E1 as a real-time room temperature tensile test point value E;
if A1 is larger than a and smaller than A2, setting a value E2 of a second preset room temperature tensile test point as a value E of a real-time room temperature tensile test point;
and if A2 is more than a and less than A3, setting a third preset room temperature tensile test point numerical value E3 as a real-time room temperature tensile test point numerical value E.
In some embodiments of the present application, the second step further includes:
setting a sampling position of a mechanical property evaluation factor from the outer wall to the inner wall of a welding joint weld joint and a heat affected zone, and selecting a plurality of sampling points for impact testing;
presetting an impact test point numerical value matrix F, and setting F (F1, F2, F3), wherein F1 is a first preset impact test point numerical value, F2 is a second preset impact test point numerical value, F3 is a third preset impact test point numerical value, and F1 is more than F2 and less than F3;
acquiring the real-time pipeline thickness a, and setting a real-time impact test point value F according to the relation between the preset pipeline thickness matrix A and the preset impact test point value matrix F, wherein the relation specifically comprises the following steps:
if a is less than A1, setting a first preset impact test point numerical value F1 as a real-time impact test point numerical value F;
if A1 is larger than a and smaller than A2, setting a second preset impact test point numerical value F2 as a real-time impact test point numerical value F;
and if A2 is more than a and less than A3, setting the value F3 of the third set impact test point as the value F of the real-time impact test point.
In some embodiments of the present application, the second step further comprises:
generating a mechanical property evaluation factor evaluation result according to the room temperature tensile test evaluation value, the lateral bending test evaluation value, the impact test evaluation value and the standard evaluation value of the mechanical property evaluation factor;
and obtaining the numerical value of the mechanical property evaluation unqualified point, and adjusting the heat treatment parameters of the welding joints of the next batch if the numerical value of the mechanical property evaluation unqualified point is larger than a preset threshold value of the mechanical property evaluation unqualified point.
In some embodiments of the present application, the second step further includes:
setting a welding seam, heat affected zones on two sides, and a metallographic evaluation factor sampling position in a base material zone on two sides.
In some embodiments of the present application, the second step further includes:
and acquiring the number of welding seams, and setting the metallographic detection sampling times according to the number of the welding seams and the preset metallographic detection percentage.
Compared with the prior art, the performance detection process for the welded joint in the postweld heat treatment in the embodiment of the application has the following beneficial effects:
by setting the hardness evaluation factor, the mechanical property evaluation factor and the metallographic structure evaluation factor, setting relevant sampling positions and sampling times, and performing hardness test, mechanical property test and metallographic structure analysis on the welded joint, the test accuracy is improved.
By setting the heat treatment temperature compensation coefficient matrix, factors which may influence the service life of the welding joint are analyzed in time according to the test result, heat treatment working parameters are corrected, the welding heat treatment process is optimized, and the service life of the welding joint is prolonged.
Drawings
FIG. 1 is a schematic view of a process flow for detecting the performance of a weld joint after post-weld heat treatment in a preferred embodiment of the present application.
Detailed Description
The following detailed description of the present application will be made with reference to the accompanying drawings and examples. The following examples are intended to illustrate the present application but are not intended to limit the scope of the present application.
In the description of the present application, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or element must have a particular orientation, be constructed in a particular orientation, and be operated, and thus should not be construed as limiting the present application.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, the meaning of "a plurality" is two or more unless otherwise specified.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in this application will be understood to be a specific case for those of ordinary skill in the art.
As shown in fig. 1, a process for detecting the performance of a welded joint by post-weld heat treatment according to a preferred embodiment of the present application includes:
the method comprises the following steps: acquiring heat treatment parameter data of a welding joint, cooling the welding joint to room temperature, and performing performance detection on the welding joint;
step two: acquiring a performance detection evaluation factor, setting a sampling position and sampling times according to the performance detection evaluation factor, and generating a performance test analysis result;
step three: adjusting the heat treatment parameters of the welding joints of the next batch according to the performance detection analysis result;
wherein, the performance detection evaluation factor in the step two comprises: hardness evaluation factors, mechanical property evaluation factors and metallographic structure evaluation factors.
Specifically, the to-be-welded joint is cooled to room temperature, field quality detection is carried out on the to-be-welded joint, and the detection content comprises the following steps: hardness test, mechanical property test and metallographic structure analysis.
It can be understood that, in the above embodiment, the factors that may be affected by the service life of the welding joint are analyzed in time according to the test result, and the heat treatment working parameters are modified, so that the welding heat treatment process is optimized, and the service life of the welding joint is prolonged.
In a preferred embodiment of the present application, the second step includes:
setting a welding seam, heat affected zones on two sides, and base metal zones on two sides as sampling positions of hardness evaluation factors;
presetting a first interval angle, and setting a sampling point at every first preset angle along the circumference of the pipeline;
presetting a pipeline thickness matrix A, and setting A (A1, A2, A3), wherein A1 is a first preset pipeline thickness, A2 is a second preset pipeline thickness, A3 is a third preset pipeline thickness, and A1 is more than A2 and less than A3;
presetting a sampling frequency matrix B, and setting B (B1, B2, B3), wherein B1 is a first preset sampling frequency, B2 is a second preset sampling frequency, B3 is a third preset sampling frequency, and B1 is more than B2 and less than B3;
acquiring the real-time pipeline thickness a, and setting the real-time sampling times B according to the relation between the preset pipeline thickness matrix A and the preset sampling times matrix B, wherein the relation specifically comprises the following steps:
if a is less than A1, setting a first preset sampling frequency B1 as a real-time sampling frequency B;
if A1 is more than a and less than A2, setting a second preset sampling frequency B2 as a real-time sampling frequency B;
and if A2 is more than a and less than A3, setting a third preset sampling frequency B3 as a real-time sampling frequency B.
Specifically, the first preset angle is 90 degrees, namely, a portable Leeb hardness tester with the model number of HT2000A is used for detecting the hardness of the welding seam, the heat affected zones on two sides and the base metals on two sides, and the hardness detection is carried out along the circumference of the pipeline at intervals of 90 degrees at 3 o 'clock, 6 o' clock, 9 o 'clock and 12 o' clock.
Particularly, the hardness test is carried out on the welding joint by setting the relevant sampling position and sampling times of the hardness test, so that the test accuracy can be effectively improved, and the test efficiency is improved.
Specifically, the spot check ratio is 9% -12% and the Cr steel detection ratio is 100%; the detection proportion of the low alloy steel is 30 percent.
Specifically, acquiring real-time sampling data of a plurality of hardness evaluation factor sampling positions, and generating evaluation data values of hardness evaluation factors;
generating a hardness evaluation result of each sampling position according to the evaluation data value of the hardness evaluation factor and a preset hardness standard evaluation value;
and acquiring a hardness evaluation failing point value, and adjusting the heat treatment parameters of the welding joints of the next batch if the hardness evaluation failing point value is greater than a preset hardness evaluation failing point threshold value.
Specifically, the adjusting the heat treatment parameters of the welding joints of the next batch comprises the following steps:
when the evaluation data value of the hardness evaluation factor is smaller than the preset hardness standard evaluation value, generating a difference value between the evaluation data value of the sampling position with unqualified evaluation results and the preset hardness standard evaluation value, and generating a difference value average value;
and setting a heat treatment temperature compensation coefficient according to the difference average value, and setting a heat treatment temperature T0 of the next batch of welding joints according to the heat treatment temperature compensation coefficient and the heat treatment temperature T.
Specifically, the hardness value of the welded joint is lower than the standard range, which indicates that the post-weld heat treatment temperature is higher to some extent.
Specifically, the method for setting the thermal treatment temperature compensation coefficient includes:
presetting a difference average value matrix C, and setting C (C1, C2, C3, C4), wherein C1 is a first preset difference average value, C2 is a second preset difference average value, C3 is a third preset difference average value, C4 is a fourth preset difference average value, and C1 is more than C2 and more than C3 and less than C4;
setting a preset heat treatment temperature compensation coefficient matrix D, and setting D (D1, D2, D3.d 4), wherein D1 is a first preset heat treatment temperature compensation coefficient, D2 is a second preset heat treatment temperature compensation coefficient, D3 is a third preset heat treatment temperature compensation coefficient, D4 is a fourth preset heat treatment temperature compensation coefficient, and D1 is more than 0.95 and less than D2 and less than D3 and less than D4 and less than 1
Obtaining a difference average value C, setting a heat treatment temperature compensation coefficient D according to a preset difference average value matrix C and a preset heat treatment temperature compensation coefficient matrix D, and setting a heat treatment temperature T0 of the next batch of welding joints according to the heat treatment temperature compensation coefficient D and the heat treatment temperature T, wherein the difference average value C specifically comprises the following steps:
when C1 is more than C and less than C2, setting a fourth preset heat treatment temperature compensation coefficient d4 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 4T of the next batch of welding joints;
when C2 < C < C3, setting a third preset heat treatment temperature compensation coefficient d3 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 3T of the next batch of welding joints
When C3 < C < C4, setting a second preset heat treatment temperature compensation coefficient d2 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 2T of the next batch of welding joints
And when C is larger than C4, setting the first preset heat treatment temperature compensation coefficient d1 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 1T of the next batch of welded joints.
It can be understood that, in the above embodiment, the hardness test and the force guarantee the test accuracy for the welding joint by setting the hardness evaluation factor and setting the relevant sampling position and sampling times.
And by setting the heat treatment temperature compensation coefficient matrix, factors which may influence the service life of the welding joint are analyzed in time according to the test result, heat treatment working parameters are corrected, the welding heat treatment process is optimized, and the service life of the welding joint is prolonged.
In a preferred embodiment of the present application, the second step further includes:
setting sampling positions of mechanical property evaluation factors from the inner wall to the outer wall of a welding joint at 6 o 'clock and 12 o' clock, and selecting a plurality of sampling points to perform room temperature tensile test;
presetting a room temperature tensile test point numerical value matrix E, and setting E (E1, E2, E3), wherein E1 is a first preset room temperature tensile test point numerical value, E2 is a second preset room temperature tensile test point numerical value, E3 is a third preset room temperature tensile test point numerical value, and E1 is more than E2 and less than E3;
and acquiring the real-time pipeline thickness a, and setting the real-time room temperature tensile test point value E according to the relation between the preset pipeline thickness matrix A and the preset room temperature tensile test point value matrix E.
Specifically, the method comprises the following steps:
if a is smaller than A1, setting a first preset room temperature tensile test point value E1 as a real-time room temperature tensile test point value E;
if A1 is larger than a and smaller than A2, setting a value E2 of a second preset room temperature tensile test point as a value E of a real-time room temperature tensile test point;
and if A2 is more than a and less than A3, setting a third preset room temperature tensile test point numerical value E3 as a real-time room temperature tensile test point numerical value E.
Setting a sampling position of a mechanical property evaluation factor from the outer wall to the inner wall of a welding joint weld joint and a heat affected zone, and selecting a plurality of sampling points for impact testing;
presetting an impact test point numerical value matrix F, and setting F (F1, F2, F3), wherein F1 is a first preset impact test point numerical value, F2 is a second preset impact test point numerical value, F3 is a third preset impact test point numerical value, and F1 is more than F2 and less than F3;
and acquiring the real-time pipeline thickness a, and setting the real-time impact test point value F according to the relation between the preset pipeline thickness matrix A and the preset impact test point value matrix F.
Specifically, comprise
If a is smaller than A1, setting a first preset impact test point numerical value F1 as a real-time impact test point numerical value F;
if A1 is larger than a and smaller than A2, setting a second preset impact test point numerical value F2 as a real-time impact test point numerical value F;
and if A2 is more than a and less than A3, setting a third set of impact test point numerical value F3 as a real-time impact test point numerical value F.
Specifically, a mechanical property evaluation factor evaluation result is generated according to a room temperature tensile test evaluation value, a lateral bending test evaluation value, an impact test evaluation value and a standard evaluation value of the mechanical property evaluation factor;
and obtaining the numerical value of the mechanical property evaluation failing points, and adjusting the heat treatment parameters of the welding joints of the next batch if the numerical value of the mechanical property evaluation failing points is greater than the preset threshold value of the mechanical property evaluation failing points.
Specifically, a standard evaluation value of the mechanical property evaluation factor is generated from industry standard data.
It can be understood that, in the above embodiment, the mechanical property test and the test accuracy of the welding joint are verified by passing through the mechanical property evaluation factor and setting the relevant sampling position and sampling frequency.
In a preferred embodiment of this application, step two further includes:
setting a welding seam, heat affected zones on two sides, and metallographic evaluation factor sampling positions in base metal zones on two sides.
And acquiring the number of welding seams, and setting the metallographic detection sampling times according to the number of the welding seams and the preset metallographic detection percentage.
Specifically, on-site metallographic examination is carried out on base metals, heat affected zones and weld metals on two sides of the butt weld, one spot of each weld is detected, spot inspection is carried out according to 10% of the number of the butt welds, and each material and specification are not less than 1 weld.
Specifically, a weld joint, heat affected zones on two sides and base metals on two sides of the position of a welded joint 11 are selected for metallographic structure analysis.
According to the first concept, the hardness evaluation factor, the mechanical property evaluation factor and the metallographic structure evaluation factor are set, and the related sampling position and sampling frequency are set, so that the hardness test, the mechanical property test and the metallographic structure analysis are performed on the welding joint, and the test accuracy is ensured.
According to the second concept in the application, by setting the heat treatment temperature compensation coefficient matrix, the factors which may influence the service life of the welding joint are analyzed in time according to the test result, the heat treatment working parameters are corrected, the welding heat treatment process is optimized, and the service life of the welding joint is prolonged.
The foregoing is only a preferred embodiment of the present application, and it should be noted that, for those skilled in the art, many modifications and substitutions can be made without departing from the technical principle of the present application, and these modifications and substitutions should also be regarded as the protection scope of the present application.
Claims (10)
1. A postweld heat treatment weld joint performance detection process is characterized by comprising the following steps:
the method comprises the following steps: acquiring heat treatment parameter data of a welding joint, cooling the welding joint to room temperature, and carrying out performance detection on the welding joint;
step two: acquiring a performance detection evaluation factor, setting a sampling position and sampling times according to the performance detection evaluation factor, and generating a performance test analysis result;
step three: adjusting the heat treatment parameters of the welding joints of the next batch according to the performance detection analysis result;
wherein, the performance detection evaluation factor in the step two comprises: hardness evaluation factors, mechanical property evaluation factors and metallographic structure evaluation factors.
2. The process for testing the performance of a weld joint through postweld heat treatment according to claim 1, wherein the second step comprises:
setting a welding seam, wherein heat affected zones on two sides of the welding seam are provided, and base metal zones on two sides are sampling positions of hardness evaluation factors;
presetting a first interval angle, and setting a sampling point at every first preset angle along the circumference of the pipeline;
presetting a pipeline thickness matrix A, and setting A (A1, A2, A3), wherein A1 is a first preset pipeline thickness, A2 is a second preset pipeline thickness, A3 is a third preset pipeline thickness, and A1 is more than A2 and less than A3;
presetting a sampling frequency matrix B, and setting B (B1, B2, B3), wherein B1 is a first preset sampling frequency, B2 is a second preset sampling frequency, B3 is a third preset sampling frequency, and B1 is more than B2 and less than B3;
acquiring the real-time pipeline thickness a, and setting the real-time sampling times B according to the relation between the preset pipeline thickness matrix A and the preset sampling times matrix B, wherein the relation specifically comprises the following steps:
if a is less than A1, setting a first preset sampling frequency B1 as a real-time sampling frequency B;
if A1 is more than a and less than A2, setting a second preset sampling frequency B2 as a real-time sampling frequency B;
and if A2 is more than a and less than A3, setting a third preset sampling frequency B3 as a real-time sampling frequency B.
3. The process for detecting the performance of a weld joint through postweld heat treatment according to claim 2, wherein the third step comprises:
acquiring real-time sampling data of a plurality of hardness evaluation factor sampling positions, and generating evaluation data values of hardness evaluation factors;
generating a hardness evaluation result of each sampling position according to the evaluation data value of the hardness evaluation factor and a preset hardness standard evaluation value;
and acquiring a hardness evaluation failing point value, and adjusting the heat treatment parameters of the welding joints of the next batch if the hardness evaluation failing point value is greater than a preset hardness evaluation failing point threshold value.
4. The process for detecting the performance of a welded joint by postweld heat treatment according to claim 3, wherein the adjusting the heat treatment parameters of the welded joint of the next batch comprises:
when the evaluation data value of the hardness evaluation factor is smaller than the preset hardness standard evaluation value, generating a difference value between the evaluation data value of the sampling position with unqualified evaluation results and the preset hardness standard evaluation value, and generating a difference value average value;
and setting a heat treatment temperature compensation coefficient according to the difference average value, and setting a heat treatment temperature T0 of the next batch of welded joints according to the heat treatment temperature compensation coefficient and the heat treatment temperature T.
5. The process for testing the performance of a weld joint through postweld heat treatment according to claim 4, wherein the step of setting the heat treatment temperature compensation coefficient comprises the following steps:
presetting a difference average value matrix C, and setting C (C1, C2, C3, C4), wherein C1 is a first preset difference average value, C2 is a second preset difference average value, C3 is a third preset difference average value, C4 is a fourth preset difference average value, and C1 is more than C2 and more than C3 and less than C4;
setting a preset heat treatment temperature compensation coefficient matrix D, setting D (D1, D2, D3.d 4), wherein D1 is a first preset heat treatment temperature compensation coefficient, D2 is a second preset heat treatment temperature compensation coefficient, D3 is a third preset heat treatment temperature compensation coefficient, D4 is a fourth preset heat treatment temperature compensation coefficient, and D1 is more than 0.95 and less than D2 and less than D3 and less than D4 and less than 1
Obtaining a difference average value C, setting a heat treatment temperature compensation coefficient D according to a preset difference average value matrix C and a preset heat treatment temperature compensation coefficient matrix D, and setting a heat treatment temperature T0 of the next batch of welding joints according to the heat treatment temperature compensation coefficient D and the heat treatment temperature T, wherein the difference average value C specifically comprises the following steps:
when C1 is more than C and less than C2, setting a fourth preset heat treatment temperature compensation coefficient d4 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 4T of the next batch of welding joints;
when C2 < C < C3, setting a third preset heat treatment temperature compensation coefficient d3 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 3T of the next batch of welding joints
When C3 < C < C4, setting a second preset heat treatment temperature compensation coefficient d2 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 2T of the next batch of welding joints
And when C is more than C4, setting the first preset heat treatment temperature compensation coefficient d1 as a heat treatment temperature compensation coefficient d, and setting the heat treatment temperature T0= d 1T of the next batch of welding joints.
6. The process for detecting the performance of a weld joint through postweld heat treatment according to claim 2, wherein the second step further comprises:
setting sampling positions of mechanical property evaluation factors from the inner wall to the outer wall of a welding joint at 6 o 'clock and 12 o' clock, and selecting a plurality of sampling points to perform room temperature tensile test;
presetting a room temperature tensile test point numerical value matrix E, and setting E (E1, E2, E3), wherein E1 is a first preset room temperature tensile test point numerical value, E2 is a second preset room temperature tensile test point numerical value, E3 is a third preset room temperature tensile test point numerical value, and E1 is more than E2 and less than E3;
acquiring the real-time pipeline thickness a, and setting a real-time room temperature tensile test point value E according to the relation between the preset pipeline thickness matrix A and the preset room temperature tensile test point value matrix E, wherein the relation specifically comprises the following steps:
if a is less than A1, setting a first preset room temperature tensile test point value E1 as a real-time room temperature tensile test point value E;
if A1 is larger than a and smaller than A2, setting a numerical value E2 of a second preset room temperature tensile test point as a numerical value E of a real-time room temperature tensile test point;
and if A2 is more than a and less than A3, setting a third preset room temperature tensile test point numerical value E3 as a real-time room temperature tensile test point numerical value E.
7. The process for detecting the performance of a weld joint through postweld heat treatment according to claim 6, wherein the second step further comprises:
setting mechanical property evaluation factor sampling positions of a welding seam and a heat affected zone of the welding joint from the outer wall to the inner wall, and selecting a plurality of sampling points for impact testing;
presetting an impact test point numerical value matrix F, and setting F (F1, F2, F3), wherein F1 is a first preset impact test point numerical value, F2 is a second preset impact test point numerical value, F3 is a third preset impact test point numerical value, and F1 is more than F2 and less than F3;
acquiring the real-time pipeline thickness a, and setting a real-time impact test point value F according to the relation between the preset pipeline thickness matrix A and the preset impact test point value matrix F, wherein the relation specifically comprises the following steps:
if a is smaller than A1, setting a first preset impact test point numerical value F1 as a real-time impact test point numerical value F;
if A1 is larger than a and smaller than A2, setting a second preset impact test point numerical value F2 as a real-time impact test point numerical value F;
and if A2 is more than a and less than A3, setting the value F3 of the third set impact test point as the value F of the real-time impact test point.
8. The process for testing the performance of a weld joint through post-weld heat treatment according to claim 7, wherein the second step further comprises:
generating a mechanical property evaluation factor evaluation result according to the room temperature tensile test evaluation value, the lateral bending test evaluation value, the impact test evaluation value and the standard evaluation value of the mechanical property evaluation factor;
and obtaining the numerical value of the mechanical property evaluation failing points, and adjusting the heat treatment parameters of the welding joints of the next batch if the numerical value of the mechanical property evaluation failing points is larger than the preset threshold value of the mechanical property evaluation failing points.
9. The process for detecting the performance of a weld joint through postweld heat treatment according to claim 2, wherein the second step further comprises:
setting a welding seam, heat affected zones on two sides, and a metallographic evaluation factor sampling position in a base material zone on two sides.
10. The process for testing the performance of a weld joint through post weld heat treatment according to claim 9, wherein the second step further comprises:
and acquiring the number of welding seams, and setting the metallographic detection sampling times according to the number of the welding seams and the preset metallographic detection percentage.
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| CN115852138B (en) * | 2023-03-03 | 2023-05-02 | 山东太阳耐磨件有限公司 | Automatic control system for heat treatment processing |
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