CN110750924A - Prediction method for residual stress of underwater wet-process welding part - Google Patents
Prediction method for residual stress of underwater wet-process welding part Download PDFInfo
- Publication number
- CN110750924A CN110750924A CN201910885361.1A CN201910885361A CN110750924A CN 110750924 A CN110750924 A CN 110750924A CN 201910885361 A CN201910885361 A CN 201910885361A CN 110750924 A CN110750924 A CN 110750924A
- Authority
- CN
- China
- Prior art keywords
- heat source
- welding
- dimensional
- ellipsoid
- underwater wet
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- 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
- B23K9/00—Arc welding or cutting
-
- 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
- B23K9/00—Arc welding or cutting
- B23K9/0061—Underwater arc welding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Plasma & Fusion (AREA)
- Mechanical Engineering (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Software Systems (AREA)
- Game Theory and Decision Science (AREA)
- Geometry (AREA)
- Computer Graphics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Arc Welding In General (AREA)
Abstract
The invention discloses a method for predicting residual stress of an underwater wet welding part, which comprises the following steps: establishing a three-dimensional solid model of the weldment by utilizing SolidWorks according to the actual size, the number and the size of the welding seams of the weldment; carrying out grid division by using Visual-Mesh software; establishing a combined heat source model suitable for underwater wet welding according to a welding method, and setting heat source parameters; setting the convection heat transfer coefficient under cooling water and various thermophysical performance parameters of the material; and carrying out finite element analysis on the temperature field and the stress field of the underwater welding by using SYSWELD numerical simulation software. The method has the advantages of high analysis efficiency and high accuracy in modeling and analyzing the underwater wet welding process.
Description
Technical Field
The invention relates to a method for predicting residual stress of an underwater wet welding part, and belongs to the field of mechanics.
Background
Underwater wet welding is the most common underwater wet welding method, and welding operation is directly carried out in water. In recent years, the improvement of welding materials such as underwater wet-method bars and the like is continuous, the development of wet welding is rapid, and China also develops underwater wet welding in the construction of bridges and the like.
The presence of water compression on the arc, rapid cooling of the water and the presence of water pressure, results in a much more complex thermal cycle of the welding process and stress analysis of the welded joint compared to an onshore weld. Because the underwater wet welding joint is easy to have a martensite structure with high hardness and has certain cold crack sensitivity, the prediction and the regulation of the residual stress of the underwater wet welding part have important engineering application value for avoiding the generation of welding cold cracks and ensuring the quality and the safety of the underwater welding joint. At present, the research on residual stress generated in the underwater wet welding process is less at home and abroad, and most of the research is directed at the prediction of the welding heat process, so that the prediction of the stress distribution in the underwater welding process and after welding is necessary and urgent.
Disclosure of Invention
The method for predicting the residual stress of the underwater wet welding part is high in analysis efficiency and accuracy, and has important application value for predicting and regulating the residual stress generated in the underwater welding part.
The invention mainly adopts the technical scheme that:
a prediction method for residual stress of an underwater wet-process weldment comprises the following steps:
step 1: establishing a three-dimensional solid model of the weldment by utilizing SolidWorks according to the actual size, the number and the size of the welding seams of the weldment;
step 2: carrying out grid division by using Visual-Mesh software;
and step 3: establishing a combined heat source model suitable for underwater wet welding according to a welding method, and setting heat source parameters;
and 4, step 4: setting the convection heat transfer coefficient under cooling water and various thermophysical performance parameters of the material;
and 5: and carrying out finite element analysis on the temperature field and the stress field of the underwater welding by using SYSWELD numerical simulation software.
Preferably, in the step (2), grid division is performed by adopting a gradual change grid from thin to thick according to the distance from the center of the welding seam to the center of the welding seam from near to far, wherein the side length of the grid in the welding seam area is 0.5mm, and the side length of the grid in the heat affected area is 0.5-1.0 mm; the side length of the grid divided in the base material area is 2.5 mm.
Preferably, in the step (3), the submerged wet welding is shielded metal arc welding, and a combined heat source model is established, that is, the combined heat source is a three-dimensional double-ellipsoid heat source + a three-dimensional cone distributed heat source, wherein the three-dimensional double-ellipsoid heat source is located at the upper part, and the heat flow density distribution function is as shown in formulas (1) and (2):
in formulae (1) to (2), f1And f2Is the energy distribution of the front and rear ellipsoids, and f1+f2＝2；QsHeat input for a double ellipsoid heat source; a is1、a2B and c are parameters of a double-ellipsoid heat source model, and β, gamma and theta are included angles of an arc main shaft and x, y and z directions respectively;
the three-dimensional cone distribution heat source is loaded below the double ellipsoid, and the corresponding heat flow density distribution function is shown as formulas (3) and (4):
in formulae (3) to (4), QzHeat input for a cone heat source; r iseAnd riThe radiuses of the upper surface and the lower surface of the three-dimensional cone respectively; z is a radical ofeAnd ziRespectively are the Z-axis coordinates of the upper surface and the lower surface of the three-dimensional cone in the height direction.
Preferably, the heat source parameters in the step (3) comprise energy distribution f of front and back ellipsoids of the three-dimensional double-ellipsoid heat source model1And f2Size parameters of a double-ellipsoid heat source model, parameters of a three-dimensional cone heat source model and effective energy ratio Q of a three-dimensional double-ellipsoid heat source and a three-dimensional cone distributed heat sources/Qz。
Preferably, the effective energy ratio Q of the three-dimensional double-ellipsoid heat source and the three-dimensional cone distributed heat source is optimizeds/QzThe value is 1.6: 1-1.8: 1.
Preferably, the thermophysical performance parameters of the material in the step (4) comprise heat conduction coefficients, specific heat capacities and densities of each composition phase of the microstructure in the parent metal and the weld joint at different temperatures.
Preferably, the heat convection coefficient under the cooling water set in the step 4 is 200W/(m)2·s)。
Has the advantages that: the invention provides a method for predicting residual stress of an underwater wet welding part, which has high analysis efficiency and higher accuracy for modeling analysis of an underwater wet welding process, and has important significance for researching the change of a welding stress field of the underwater wet welding part because the prediction of stress distribution in the underwater welding process and after welding is necessary and urgent.
Drawings
FIG. 1 is a flow chart of a residual stress prediction method for an underwater wet-process welded part;
FIG. 2 is a mesh division diagram of a three-dimensional model of an underwater wet-process multilayer welding part in an embodiment 1;
FIG. 3 is a mesh division diagram of a three-dimensional model of an underwater wet multi-layer welded part in an embodiment 2;
FIG. 4 is a schematic plot of a thermal cycle curve;
FIG. 5 is a graph of a typical position thermal cycle for example 1;
FIG. 6 is a graph of a typical position thermal cycle for example 2;
FIG. 7 shows the distribution of the equivalent residual stress of the intermediate thickness layer of the samples 1 and 2 in the width direction of the plate;
FIG. 8 shows the distribution of longitudinal residual stress in the width direction of the board for the samples of examples 1 and 2;
fig. 9 shows the distribution of the residual stress in the transverse direction of the intermediate thickness layer in the samples 1 and 2 in the width direction of the board.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application are clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As shown in fig. 1, a method for predicting residual stress of an underwater wet welded part includes the following steps:
step 1: establishing a three-dimensional solid model of the weldment by utilizing SolidWorks according to the actual size, the number and the size of the welding seams of the weldment;
step 2: carrying out grid division by using Visual-Mesh software;
and step 3: establishing a combined heat source model suitable for underwater wet welding according to a welding method, and setting heat source parameters;
and 4, step 4: setting the convection heat transfer coefficient under cooling water and various thermophysical performance parameters of the material;
and 5: and carrying out finite element analysis on the temperature field and the stress field of the underwater welding by using SYSWELD numerical simulation software.
Preferably, in the step (2), grid division is performed by adopting a gradual change grid from thin to thick according to the distance from the center of the welding seam to the center of the welding seam from near to far, wherein the side length of the grid in the welding seam area is 0.5mm, and the side length of the grid in the heat affected area is 0.5-1.0 mm; the side length of the grid divided in the base material area is 2.5 mm.
Preferably, in the step (3), the submerged wet welding is shielded metal arc welding, and a combined heat source model is established, that is, the combined heat source is a three-dimensional double-ellipsoid heat source + a three-dimensional cone distributed heat source, wherein the three-dimensional double-ellipsoid heat source is located at the upper part, and the heat flow density distribution function is as shown in formulas (1) and (2):
in formulae (1) to (2), f1And f2Is the energy distribution of the front and rear ellipsoids, and f1+f2＝2；QsHeat input for a double ellipsoid heat source; a is1、a2B and c are parameters of a double-ellipsoid heat source model, and β, gamma and theta are included angles of an arc main shaft and x, y and z directions respectively;
the three-dimensional cone distribution heat source is loaded below the double ellipsoid, and the corresponding heat flow density distribution function is shown as formulas (3) and (4):
in formulae (3) to (4), QzHeat input for a cone heat source; r iseAnd riThe radiuses of the upper surface and the lower surface of the three-dimensional cone respectively; z is a radical ofeAnd ziRespectively are the Z-axis coordinates of the upper surface and the lower surface of the three-dimensional cone in the height direction.
Preferably, the heat source parameters in the step (3) comprise energy distribution f of front and back ellipsoids of the three-dimensional double-ellipsoid heat source model1And f2Dimension parameter (a) of double ellipsoid heat source model1、a2B, c, β, gamma, theta), parameters of the three-dimensional pyramidal heat source model (r)e、ri、zeAnd zi) And the effective energy ratio Q of the three-dimensional double-ellipsoid heat source and the three-dimensional cone distributed heat sources/Qz。
Preferably, the effective energy ratio Q of the three-dimensional double-ellipsoid heat source and the three-dimensional cone distributed heat source is optimizeds/QzThe value is 1.6: 1-1.8: 1.
Preferably, the thermophysical performance parameters of the material in the step (4) comprise heat conduction coefficients, specific heat capacities and densities of each composition phase of the microstructure in the parent metal and the weld joint at different temperatures.
Preferably, the heat convection coefficient under the cooling water set in the step 4 is 200W/(m)2·s)。
Example 1
Step 1: in the embodiment 1, the material of the welded part is Q345 steel, the welding current is 170A, the voltage is 30V, the welding speed is 18cm/min, the energy of the welding line is 17kJ/cm, welding is carried out at an interval of 100s per welding line, and 7 welding lines with 4 layers are formed; a three-dimensional solid model of the welding part is established by utilizing SolidWorks, and a 30-degree groove is formed in one side of the welding part and a 2mm blunt edge is reserved during three-dimensional modeling.
Step 2: as shown in fig. 2, grid division is carried out according to the three-dimensional solid model of the welding part established in the step 1 by using Visual-Mesh software, and division is carried out by adopting a gradual grid from thin to thick according to the distance from the welding center to the near, wherein the side length of the grid in the welding area is 0.5mm, and the side length of the grid in the heat affected area is 0.5-1.0 mm; the side length of the grid divided in the base material area is 2.5 mm.
And step 3: determining the welding method to be shielded metal arc welding, establishing a combined heat source model to be a three-dimensional double-ellipsoid heat source and a three-dimensional cone distributed heat source, and setting heat source parameters, wherein the heat source parameters comprise energy distribution f of front and rear ellipsoids of the three-dimensional double-ellipsoid heat source model1And f2Dimension parameter (a) of double ellipsoid heat source model1、a2B, c, β, gamma, theta), parameters of the three-dimensional pyramidal heat source model (r)e、ri、zeAnd zi) And the effective energy ratio Q of the three-dimensional double-ellipsoid heat source and the three-dimensional cone distributed heat sources/Qz. Q under the welding parameters/Qz1.6: 1.
And 4, step 4: setting the heat convection coefficient under cooling water to be 200W/(m)2S) setting the thermophysical performance parameters of the material to comprise the heat conduction coefficient, the specific heat capacity and the density of each composition phase of the microstructure in the parent metal and the welding seam at different temperatures.
And (5): and carrying out finite element analysis on the temperature field and the stress field by using SYSWELD numerical simulation software.
Example 2
Step 1: in this example 2, the material of the welded part is Q345 steel, the welding current is 190A, the voltage is 30V, the welding speed is 3mm/s, the welding line energy is 19kJ/cm, welding is performed at an interval of 100s per welding line, and there are 6 welding lines in total of 4 layers. A three-dimensional solid model of the welding part is established by utilizing SolidWorks, and a 30-degree groove is formed in one side of the welding part and a 2mm blunt edge is reserved during three-dimensional modeling.
Step 2: as shown in fig. 3, grid division is carried out according to the three-dimensional solid model of the welding part established in the step 1 by using Visual-Mesh software, and division is carried out by adopting a gradual Mesh from thin to thick according to the distance from the welding center to the near, wherein the side length of the Mesh in the welding area is 0.5mm, and the side length of the Mesh in the heat affected area is 0.5-1.0 mm; the side length of the grid divided in the base material area is 2.5 mm.
And step 3: determining the welding method to be shielded metal arc welding, wherein the heat source model is a three-dimensional double-ellipsoid heat source and a three-dimensional cone distributed heat source, and setting heat source parameters, wherein the heat source parameters comprise energy distribution f of front and rear ellipsoids of the three-dimensional double-ellipsoid heat source model1And f2Dimension parameter (a) of double ellipsoid heat source model1、a2B, c, β, gamma, theta), parameters of the three-dimensional pyramidal heat source model (r)e、ri、zeAnd zi) And the effective energy ratio Q of the three-dimensional double-ellipsoid heat source and the three-dimensional cone distributed heat sources/Qz. Q under the welding parameters/Qz1.7: 1.
And 4, step 4: under cooling waterThe convective heat transfer coefficient is 200W/(m)2S) setting the thermophysical performance parameters of the material to comprise the heat conduction coefficient, the specific heat capacity and the density of each composition phase of the microstructure in the parent metal and the welding seam at different temperatures.
And 5: and carrying out finite element analysis on the temperature field and the stress field by using SYSWELD numerical simulation software.
As shown in fig. 5 and 6, the thermal cycle curves of the typical positions of the embodiments 1 and 2 are shown. As can be seen, the cooling rate of the underwater welding is very high, and the peak temperature of the primary thermal cycle of the point 1 and the point 2 (as shown in FIG. 4) can be increased by increasing the welding current, and the cooling rate after welding is slightly reduced.
As shown in fig. 7 to 9, the residual stress distribution of each of the embodiments 1 and 2 is shown. As can be seen, the equivalent residual stress σ is obtained under the current condition of the underwater welding 170AvonHigher, and lower under 190A current conditions. Longitudinal residual stress σxIn both conditions, the weld and the HAZ part are in tensile stress, while the parent metal far away from the weld is in compressive stress, and the sigma is in the condition of underwater welding 170AxHigher level, the peak value of the tensile stress can reach about 570MPa, and the sigma is welded under water under the condition of 190AxThe peak stress is slightly lower than under 170A. Under the two conditions, the transverse residual stress of the welding seam and the two sides is shown as tensile stress, the level of the transverse residual stress under the underwater welding 170A condition is still higher, and the peak value can reach about 450 MPa.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (7)
1. The method for predicting the residual stress of the underwater wet-process weldment is characterized by comprising the following steps of:
step 1: establishing a three-dimensional solid model of the weldment by utilizing SolidWorks according to the actual size, the number and the size of the welding seams of the weldment;
step 2: carrying out grid division by using Visual-Mesh software;
and step 3: establishing a combined heat source model suitable for underwater wet welding according to a welding method, and setting heat source parameters;
and 4, step 4: setting the convection heat transfer coefficient under cooling water and various thermophysical performance parameters of the material;
and 5: and carrying out finite element analysis on the temperature field and the stress field of the underwater welding by using SYSWELD numerical simulation software.
2. The method for predicting the residual stress of the underwater wet-process weldment according to claim 1, wherein the method comprises the following steps: in the step (2), grid division is carried out by adopting a gradual change grid from thin to thick according to the distance from the center of the welding seam to the center of the welding seam from near to far, wherein the side length of the grid in the welding seam area is 0.5mm, and the side length of the grid in the heat affected area is 0.5-1.0 mm; the side length of the grid divided in the base material area is 2.5 mm.
3. The method for predicting the residual stress of the underwater wet-process weldment according to the claim 1 or 2, wherein the method comprises the following steps: in the step (3), the underwater wet welding adopts shielded metal arc welding, and a combined heat source model is established, namely a three-dimensional double-ellipsoid heat source and a three-dimensional cone distributed heat source, wherein the three-dimensional double-ellipsoid heat source is positioned at the upper part, and the heat flow density distribution function is shown as the formulas (1) and (2):
in formulae (1) to (2), f1And f2Is the energy distribution of the front and rear ellipsoids, and f1+f2＝2；QsHeat input for a double ellipsoid heat source; a is1、a2B and c are parameters of a double-ellipsoid heat source model, and β, gamma and theta are included angles of an arc main shaft and x, y and z directions respectively;
the three-dimensional cone distribution heat source is loaded below the double ellipsoid, and the corresponding heat flow density distribution function is shown as formulas (3) and (4):
in formulae (3) to (4), QzHeat input for a cone heat source; r iseAnd riThe radiuses of the upper surface and the lower surface of the three-dimensional cone respectively; z is a radical ofeAnd ziRespectively are the Z-axis coordinates of the upper surface and the lower surface of the three-dimensional cone in the height direction.
4. The method for predicting the residual stress of the underwater wet-process weldment according to claim 3, wherein the method comprises the following steps: the heat source parameters in the step (3) comprise the energy distribution f of the front ellipsoid and the back ellipsoid of the three-dimensional double-ellipsoid heat source model1And f2Size parameters of double-ellipsoid heat source model, parameters of three-dimensional cone heat source model and effective energy ratio Q of three-dimensional double-ellipsoid heat source and three-dimensional cone distributed heat sources/Qz。
5. The method for predicting the residual stress of the underwater wet-process weldment according to claim 4, wherein the method comprises the following steps: optimizing the effective energy ratio Q of the three-dimensional double-ellipsoid heat source and the three-dimensional cone distributed heat sources/QzTaking 1.6: 1-1.8: 1.
6. The method for predicting residual stress of an underwater wet weld according to claim 1, wherein: and (4) the thermophysical performance parameters of the material in the step (4) comprise heat conduction coefficients, specific heat capacities and densities of all composition phases of the microstructure in the base material and the welding line at different temperatures.
7. The underwater wet weld residual stress of claim 1The prediction method of (1), characterized in that: setting the heat convection coefficient under the cooling water to be 200W/(m) in the step 42·s)。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910885361.1A CN110750924A (en) | 2019-09-19 | 2019-09-19 | Prediction method for residual stress of underwater wet-process welding part |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910885361.1A CN110750924A (en) | 2019-09-19 | 2019-09-19 | Prediction method for residual stress of underwater wet-process welding part |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110750924A true CN110750924A (en) | 2020-02-04 |
Family
ID=69276640
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910885361.1A Withdrawn CN110750924A (en) | 2019-09-19 | 2019-09-19 | Prediction method for residual stress of underwater wet-process welding part |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110750924A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112149330A (en) * | 2020-09-24 | 2020-12-29 | 河海大学常州校区 | Method for predicting welding residual stress of oil seal platform of wind power tower and optimizing welding process |
| CN115319339A (en) * | 2022-06-27 | 2022-11-11 | 中建三局第一建设工程有限责任公司 | Method for establishing welding three-dimensional grid model for butt joint finite element simulation |
-
2019
- 2019-09-19 CN CN201910885361.1A patent/CN110750924A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112149330A (en) * | 2020-09-24 | 2020-12-29 | 河海大学常州校区 | Method for predicting welding residual stress of oil seal platform of wind power tower and optimizing welding process |
| CN112149330B (en) * | 2020-09-24 | 2024-02-06 | 河海大学常州校区 | Welding residual stress prediction and welding process optimization method for wind power tower oil seal platform |
| CN115319339A (en) * | 2022-06-27 | 2022-11-11 | 中建三局第一建设工程有限责任公司 | Method for establishing welding three-dimensional grid model for butt joint finite element simulation |
| CN115319339B (en) * | 2022-06-27 | 2023-10-27 | 中建三局第一建设工程有限责任公司 | Method for establishing welding three-dimensional grid model for finite element simulation of butt joint |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112149330B (en) | Welding residual stress prediction and welding process optimization method for wind power tower oil seal platform | |
| CN108747065B (en) | Manufacturing process of large-specification thin-wall TA5 alloy sheet with T-shaped rib plate | |
| CN110750924A (en) | Prediction method for residual stress of underwater wet-process welding part | |
| CN112685848B (en) | Optimization method for Q690D high-strength steel thick plate multilayer multi-pass welding parameters | |
| CN107967376B (en) | Numerical simulation calculation method for T-shaped bilateral interval welding process of steel-aluminum transition joint | |
| Wang et al. | Development of a new combined heat source model for welding based on a polynomial curve fit of the experimental fusion line | |
| Sharma et al. | Estimation of heat source model parameters for twin-wire submerged arc welding | |
| Kubiak et al. | Numerical prediction of fusion zone and heat affected zone in hybrid Yb: YAG laser+ GMAW welding process with experimental verification | |
| CN102909449B (en) | Induction soldering and brazing method for metal part | |
| CN112784424A (en) | Three-dimensional numerical simulation method for grain growth of titanium alloy welding pool | |
| CN104985298A (en) | Method for predicting small-angle welding temperature field of rotating arc low-alloy structural steel | |
| Zhan et al. | Numerical simulation of resistance welding of solar cell using a thermal-electrical-mechanical coupled model | |
| CN104816077B (en) | Method capable of quickly determining one-off forming welding linear energy of submerged-arc welding of V-shaped groove | |
| Li et al. | Residual stress and welding distortion of Al/steel butt joint by arc-assisted laser welding-brazing | |
| Mahapatra et al. | Three-dimensional finite element analysis to predict the effects of shielded metal arc welding process parameters on temperature distributions and weldment zones in butt and one-sided fillet welds | |
| CN204094301U (en) | Copper pipe and device for welding aluminium pipe plumb joint in refrigeration plant | |
| Zhou et al. | Effect of power distribution on the temperature evolution in laser-MIG hybrid welding for Q235 steel | |
| Chen et al. | Numerical analysis of the effects of weld parameters on distortions and residual stresses in butt welded steel plates | |
| CN110704966A (en) | Method for predicting residual stress of X80 pipeline steel welded joint through laser heat treatment | |
| Ma et al. | Numerical simulation and experimental study of hybrid laser-electric arc welding between dissimilar Mg alloys | |
| Shiri et al. | Investigating the Effect of Joint Geometry of the Gas Tungsten Arc Welding Process on the Residual Stress and Distortion using the Finite Element Method. | |
| Mounika et al. | Effect of Weld Pass Sequencing On Temperature Distribution and Residual Stresses in Gmaw | |
| CN103605861A (en) | Pipeline steel welding residual stress prediction method based on ANSYS | |
| CN113033039B (en) | Method for establishing welding heat source model of single-wire electro-gas welding | |
| Eisazadeh et al. | Numerical and experimental investigation of residual stress distribution in a dissimilar ferritic-austenitic weld |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200204 |
|
| WW01 | Invention patent application withdrawn after publication |