CN108647465A - A kind of optimization method of motorcycle rear fork welding condition - Google Patents
A kind of optimization method of motorcycle rear fork welding condition Download PDFInfo
- Publication number
- CN108647465A CN108647465A CN201810485725.2A CN201810485725A CN108647465A CN 108647465 A CN108647465 A CN 108647465A CN 201810485725 A CN201810485725 A CN 201810485725A CN 108647465 A CN108647465 A CN 108647465A
- Authority
- CN
- China
- Prior art keywords
- welding
- rear fork
- motorcycle rear
- welding condition
- gas shielded
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/06—Power analysis or power optimisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/18—Manufacturability analysis or optimisation for manufacturability
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Butt Welding And Welding Of Specific Article (AREA)
Abstract
The present invention provides a kind of optimization methods of motorcycle rear fork welding condition, including determine motorcycle rear fork material therefor, establish model using Solidworks, Visual Mesh carry out mesh generation；Heat source model is chosen according to welding method and model parameter is set, due to using CO2Gas shielded arc welding, therefore use double stripping mechanism；Using SYSWELD numerical simulation softwares to motorcycle rear fork CO2Gas shielded arc welding carries out the stress-strain field finite element analysis under different heat inputs respectively；By analyzing the analog result of stress-strain field, the parameter that residual stress should be selected, should be lower, so that it is determined that optimal welding condition.The present invention is based on SYSWELD numerical simulation softwares optimization motorcycle rear fork CO2The method of gas shielded arc welding welding condition, by finite element numerical analysis software, the residual stress of motorcycle rear fork postwelding and deformation under sunykatuib analysis difference welding condition, to find motorcycle rear fork CO2The best welding condition of gas shielded arc welding.
Description
Technical field
The present invention relates to CO2Gas shielded arc welding field, and in particular to excellent based on SYSWELD numerical simulation softwares to one kind
Change motorcycle rear fork CO2The method of gas shielded arc welding welding parameter.
Background technology
Motorcycle rear fork is the important spare part for installing trailing wheel, damper, brake, sprocket wheel, mainly molding side
Method is assembled welding, has the characteristics that the more weld seams of welding sequence are intensive, and welding procedure is unreasonable or welding conditions are improper, is easy
Lead to the residual stress and residual deformation that welding structure is big, influence the quality and safety coefficient of vehicle, therefore finds out optimal weldering
Connecing parameter is just particularly important.Under existence conditions, multigroup experiment is carried out by the welding of motorcycle rear fork material object to find
The welding condition of optimization, not only consuming material is more, and the period is long, and uncontrollable factor is more, for choosing optimised welding procedure ginseng
Number is difficult to provide reference.
Invention content
It is an object of the invention to solve the deficiencies in the prior art, provide a kind of based on SYSWELD numerical simulation softwares
Optimize motorcycle rear fork CO2It is difficult to solve motorcycle rear fork material object soldering test for the method for gas shielded arc welding welding parameter
The problem of to find optimal processing parameter.
To solve the above problems, the present invention provides a kind of optimization sides based on motorcycle rear fork welding condition
Method, characterized in that use CO2Gas shielded arc welding welds, and includes the following steps：
Step 1：Determine that parameter needed for modeling includes：Motorcycle rear fork material therefor, is put down at rear chain stay side pipe size afterwards
The length of fork connection transverse tube, the thickness of rear chain stay connection transverse tube, the size of rear chain stay end pipe and rear chain stay end pipe
Wall thickness；Symmetry based on motorcycle rear fork, the entity half of chain stay after being established using Solidworks according to actual size
Model, recycle Visual Mesh to carry out mesh generation；
Step 2：It is 20 DEG C that weldment initial temperature, which is arranged, and model parameter is arranged：Including Convection Parameters, radiation parameter and phase
Become latent heat parameter；
Choose heat source model：Using double stripping mechanism and according to the welding pool structural parameters actually measured, heat is set
Source model parameter includes half front axle heat input Qf, rear semiaxis heat input Qr, ellipsoid first half shaft size afWith later half shaft size ar、
Heat source maximum half-breadth b and depth capacity d；
Thermal weld stress can be calculated with following formula in this model：
Q=η UI (1)
Wherein Q is effective thermal weld stress；η is CO2The thermal efficiency of gas shielded arc welding, U are weldingvoltages, and I is welding electricity
Stream.
Step 3：According to practical CO2The current range that gas shielded arc welding uses is welded between setting side pipe and connection transverse tube
Electric current I1, voltage U1With speed of welding v1, using symmetrical welding simultaneously in the same direction；Determine that the connection between end pipe and side pipe is total
Weld seam quantity is counted, is first symmetrically welded short straight weld simultaneously, sets preset time, circle is symmetrically welded simultaneously again after preset time
The electric current of arc weld, setting welding arch welded joint distinguishes I2, voltage U2With speed of welding v2；
Step 4：Definition material thermo-physical performance parameters include the solidus temperature (T of base material, filler wireS) and liquid phase
Line temperature (TL), density p, specific heat capacity C, the thermal conductivity (KX, KY, KZ) of different directions, different directions linear expansion coefficient (LX,
LY, LZ), elastic modulus E, Poisson's ratio ν, yield strength (Re), modulus of strain hardening (ET), it is soft using SYSWELD numerical simulations
Part is to motorcycle rear fork CO2Gas shielded arc welding carries out stress under different heat inputs, strain field finite element analysis respectively, obtains
Welding residual stress is distributed and the cloud atlas of overstrain distribution；
Step 5：By analyze welding residual stress, strain field analog result, should select residual stress peak level,
The horizontal low welding condition combination of overstrain, so that it is determined that optimal welding condition.
Preferably, weld dimensions grid is relatively thin when mesh generation, length of side 1.5mm, the mother of separate weld seam
Material Partial Mesh is coarseer, length of side 2.5mm.
Compared with prior art, the advantageous effect of the invention reached is：The present invention need not do soldering test in kind
Under conditions of, simulation test is carried out by SYSWELD numerical simulation software arrange parameters.It can pass through software point using the present invention
Temperature field, stress field and the post welding distortion that analysis result directly obtains welding will be explored to find out optimum welding process parameter
The workload of process parameter test substantially reduces, and greatly reduces experimentation cost, and greatly improves the reliable of gained optimal parameter
Degree.
Description of the drawings
Fig. 1 is the flow diagram of the method for the present invention；
Fig. 2 is the method for the present invention motorcycle rear fork schematic diagram；
Fig. 3 is rear chain stay first part side pipe and transverse tube coupling part modeling schematic diagram；
Fig. 4 is connection modeling schematic diagram between rear chain stay second part end pipe and side pipe；
Fig. 5 is the 210A stress fields of first part, strain cloud atlas；
Fig. 6 is the 225A stress fields of first part, strain cloud atlas；
Fig. 7 is the 235A stress fields of first part, strain cloud atlas；
Fig. 8 is the 190A stress fields of second part, strain cloud atlas；
Fig. 9 is the 210A stress fields of second part, strain cloud atlas；
Figure 10 is the 225A stress fields of second part, strain cloud atlas；
Figure 11 is the 235A stress fields of second part, strain cloud atlas.
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings, and following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
For the present invention by taking ZS110 type motorcycle rear forks as an example, the material of side pipe and connecting tube is Q345D steel.
As shown in Figure 1, one kind of the present invention being based on SYSWELD numerical simulation softwares optimization motorcycle rear fork CO2Gas
The method of protection weldering welding parameter, includes the following steps：
Step 1：To the motorcycle rear fork part studied, as shown in Fig. 2, chain stay material therefor is Q345D after determining
Steel.Since motorcycle rear fork is symmetrical structure, the side pipe of chain stay is longer and end apart from weld seam farther out, influenced by welding
Very little, therefore in order to improve computational efficiency, be reduced to two parts herein, two-part entity is established using Solidworks
Model then uses Visual Mesh to carry out mesh generation, the long straight weld of first part as shown in Figure 3 and as shown in Figure 4
The short straight weld of second part and arch welded joint.First part's unit number is 39200, and second part unit number is 14320.
Step 2：Heat source model is chosen according to welding method and model parameter is set, due to using CO2Gas shield
Weldering, therefore use double stripping mechanism.
To first part using symmetrically welding simultaneously, speed of welding 5mm/s, welding current be respectively 210A, 225A,
235A is simulated；Second part amounts to 4 weld seams, is first symmetrically welded short straight weld simultaneously, circle is symmetrically welded simultaneously again after 20s
Arc weld, speed of welding are 5mm/s, and welding current is respectively that 190A, 210A, 225A, 235A are simulated.According to Welder
Skill parameter setting heat source model parameter；And convection current, radiation, latent heat of phase change parameter are set.
Step 3：Using SYSWELD numerical simulation softwares to motorcycle rear fork CO2Gas shielded arc welding carries out multigroup respectively
Numerical computations under different thermal weld stress.
Step 4：Optimal welding condition is found out by the stress field and post welding distortion of analysis mode result.
For first part, welding stress field and strain field cloud atlas under 3 group welding technological parameters are analyzed, such as Fig. 5~Fig. 7 institutes
Show.From stress field cloud atlas can be seen that 3 groups of power generate equivalent residual stress maximum stress be respectively 513MPa, 519MPa,
522MPa；Can be seen that the maximum strain amount that 3 groups of electric currents generate from strain cloud atlas is respectively 0.158,0.169,0.196.Ying Xuan
Select that stress level is low, overstrain also small parameter, since the deformation under 210A is minimum, the power for choosing 210A more closes
It is suitable.
For second part, the welding stress field and strain field cloud atlas of four groups of data are compared respectively, such as Fig. 8~Figure 11 institutes
Show.From residual stress distribution as can be seen that under 4 groups of difference electric currents equivalent residual stress maximum stress be respectively 642MPa,
651MPa、659MPa、661MPa；From strain cloud atlas can be seen that the maximum strain amount that 4 groups of electric currents generate be respectively 0.082,
0.093、0.101、0.112.Since four groups of residual stress peak levels are higher, it is broken in order to prevent, stress should be selected
Horizontal low, overstrain also small parameter, it can be seen that second part welding selects the power of 190A more suitable.
It is provided by the present invention a kind of based on SYSWELD numerical simulation softwares optimization motorcycle rear fork CO2Gas shield
The method for welding welding parameter, solves the problems, such as that motorcycle rear fork material object soldering test is difficult to find that optimal processing parameter.It will
The workload for probing into experiment substantially reduces, and greatly reduces experimentation cost, and greatly improves the reliability of gained optimal parameter.
The above is only that the non-limiting embodiment of the present invention does not take off for those of ordinary skill in the art
Under the premise of conceiving from the invention and do not make creative work, various modifications and improvements can be made, these all belong to
In protection scope of the present invention.
Claims (8)
1. a kind of optimization method based on motorcycle rear fork welding condition, characterized in that use CO2Gas shielded arc welding welds
It connects, includes the following steps：
Step 1：Determine that parameter needed for modeling includes：Motorcycle rear fork material therefor, rear chain stay side pipe size, rear chain stay connect
Connect the length of transverse tube, the thickness of rear chain stay connection transverse tube, the wall thickness of the size and rear chain stay end pipe of rear chain stay end pipe；
Symmetry based on motorcycle rear fork, the mould of the entity half of chain stay after being established using Solidworks according to actual size
Type recycles Visual Mesh to carry out mesh generation；
Step 2：It is 20 DEG C that weldment initial temperature, which is arranged, convection current, radiation, latent heat of phase change parameter；Heat source is chosen according to welding method
Simultaneously model parameter is arranged in model, chooses heat source model：Using double stripping mechanism and according to the welding pool shape actually measured
Looks parameter setting heat source model parameter includes half front axle heat input Qf, rear semiaxis heat input Qr, ellipsoid first half shaft size afWith it is rear
Half shaft size ar, heat source maximum half-breadth b and depth capacity d；
Thermal weld stress can be calculated with following formula in this model：
Q=η UI (1)
Wherein Q is effective thermal weld stress；η is CO2The thermal efficiency of gas shielded arc welding；U is weldingvoltage, and I is welding current.
Step 3：According to practical CO2The current range that gas shielded arc welding uses is arranged side pipe and connects the electric current welded between transverse tube
I1, voltage U1With speed of welding v1, using symmetrical welding simultaneously in the same direction；Determine that the connection between end pipe and side pipe amounts to weldering
Quantity is stitched, is first symmetrically welded short straight weld simultaneously, sets preset time, is symmetrically welded circular arc weldering simultaneously again after preset time
The electric current of seam, setting welding arch welded joint distinguishes I2, voltage U2With speed of welding v2；
Step 4：Definition material thermo-physical performance parameters, including the solidus temperature of base material, filler wire and liquidus temperature,
Density p, specific heat capacity C, the thermal conductivity of different directions, the linear expansion coefficient of different directions, elastic modulus E, Poisson's ratio ν, surrender are strong
Degree, modulus of strain hardening, using SYSWELD numerical simulation softwares to motorcycle rear fork CO2Gas shielded arc welding carries out not respectively
With the stress under heat input, strain field finite element analysis, the cloud atlas of welding residual stress distribution and overstrain distribution is obtained；
Step 5：By analyzing the analog result of welding residual stress, strain field, residual stress peak level, remnants should be selected
The low welding condition combination of strain level, so that it is determined that optimal welding condition.
2. a kind of optimization method of motorcycle rear fork welding condition according to claim 1, characterized in that grid
Weld dimensions grid is relatively thin when division, length of side 1.5mm, and the base material Partial Mesh of separate weld seam is coarseer, the length of side is
2.5mm。
3. a kind of optimization method of motorcycle rear fork welding condition according to claim 1, characterized in that step
CO in 22The thermal efficiency η of gas shielded arc welding takes 0.85.
4. a kind of optimization method of motorcycle rear fork welding condition according to claim 1, characterized in that motor
Chain stay material therefor is Q345D after vehicle, and rear chain stay side pipe size is 40 × 20 × 460mm, the length of connection transverse tube is 45 × 25
× 200mm, thickness 4mm, end pipe size are 36 × 40mm of φ, wall thickness 3mm.
5. a kind of optimization method of motorcycle rear fork welding condition according to claim 4, characterized in that step
Side pipe is set in three and connects the electric current difference I welded between transverse tube1Take 210A, 225A, 235A, voltage U1For 20V, speed of welding
v1For 5mm/s.
6. a kind of optimization method of motorcycle rear fork welding condition according to claim 5, characterized in that step
The electric current I of setting welding arch welded joint in 32190A, 210A, 225A, 235A, voltage U are taken respectively2For 20V, speed of welding v2
For 5mm/s.
7. a kind of optimization method of motorcycle rear fork welding condition according to claim 6, characterized in that step
It is 4 to determine that the connection between end pipe and side pipe amounts to weld seam quantity in 3.
8. a kind of optimization method of motorcycle rear fork welding condition according to claim 7, characterized in that described
Preset time is set as 20s.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810485725.2A CN108647465A (en) | 2018-05-21 | 2018-05-21 | A kind of optimization method of motorcycle rear fork welding condition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810485725.2A CN108647465A (en) | 2018-05-21 | 2018-05-21 | A kind of optimization method of motorcycle rear fork welding condition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108647465A true CN108647465A (en) | 2018-10-12 |
Family
ID=63757177
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810485725.2A Pending CN108647465A (en) | 2018-05-21 | 2018-05-21 | A kind of optimization method of motorcycle rear fork welding condition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108647465A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110102924A (en) * | 2019-06-12 | 2019-08-09 | 中国核动力研究设计院 | A method of for controlling correction large-size box structural member fillet weld deformation |
| CN110334469A (en) * | 2019-07-17 | 2019-10-15 | 佛山科学技术学院 | A kind of gear tooth breakage laser melting coating welding technology optimization and welding method based on ansys |
| CN111069754A (en) * | 2019-12-05 | 2020-04-28 | 南京中远海运船舶设备配件有限公司 | Surfacing method for reducing residual stress of welding of gas valve based on numerical simulation |
| CN111334658A (en) * | 2020-04-07 | 2020-06-26 | 西南交通大学 | Method for reducing welding residual stress of orthotropic steel bridge deck |
| CN115055784A (en) * | 2022-05-23 | 2022-09-16 | 南京航空航天大学 | Electric water heater liner girth welding optimization process based on finite element method design |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103246772A (en) * | 2013-05-11 | 2013-08-14 | 天津大学 | ABAQUS-based finite element simulation method of correcting welding deformation through ultrasonic shot-peening |
| CN103273207A (en) * | 2013-04-12 | 2013-09-04 | 广东工业大学 | Press machine body welding deformation eliminating method based on residual stress quantitative analysis |
| CN105975708A (en) * | 2016-05-16 | 2016-09-28 | 中国计量大学 | Steel tube welding parameter optimization method based on numerical simulation and data analysis |
| US20160346860A1 (en) * | 2015-05-28 | 2016-12-01 | Rolls-Royce Plc | Welding method |
-
2018
- 2018-05-21 CN CN201810485725.2A patent/CN108647465A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103273207A (en) * | 2013-04-12 | 2013-09-04 | 广东工业大学 | Press machine body welding deformation eliminating method based on residual stress quantitative analysis |
| CN103246772A (en) * | 2013-05-11 | 2013-08-14 | 天津大学 | ABAQUS-based finite element simulation method of correcting welding deformation through ultrasonic shot-peening |
| US20160346860A1 (en) * | 2015-05-28 | 2016-12-01 | Rolls-Royce Plc | Welding method |
| CN105975708A (en) * | 2016-05-16 | 2016-09-28 | 中国计量大学 | Steel tube welding parameter optimization method based on numerical simulation and data analysis |
Non-Patent Citations (2)
| Title |
|---|
| 李长勋等: "06Crl9Nil0钢焊接变形控制分析计算", 《焊接技术》 * |
| 王高见: "ZS125-70型摩托车平叉焊接过程的数值模拟研究", 《中国优秀博硕士学位论文全文数据库(硕士)工程科技Ⅰ辑》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110102924A (en) * | 2019-06-12 | 2019-08-09 | 中国核动力研究设计院 | A method of for controlling correction large-size box structural member fillet weld deformation |
| CN110102924B (en) * | 2019-06-12 | 2021-10-22 | 中国核动力研究设计院 | Method for controlling and correcting fillet weld deformation of large box structural member |
| CN110334469A (en) * | 2019-07-17 | 2019-10-15 | 佛山科学技术学院 | A kind of gear tooth breakage laser melting coating welding technology optimization and welding method based on ansys |
| CN110334469B (en) * | 2019-07-17 | 2023-04-18 | 佛山科学技术学院 | Gear broken tooth laser cladding welding process optimization method based on ansys |
| CN111069754A (en) * | 2019-12-05 | 2020-04-28 | 南京中远海运船舶设备配件有限公司 | Surfacing method for reducing residual stress of welding of gas valve based on numerical simulation |
| CN111334658A (en) * | 2020-04-07 | 2020-06-26 | 西南交通大学 | Method for reducing welding residual stress of orthotropic steel bridge deck |
| CN111334658B (en) * | 2020-04-07 | 2020-12-01 | 西南交通大学 | Method for reducing welding residual stress of orthotropic steel bridge deck |
| CN115055784A (en) * | 2022-05-23 | 2022-09-16 | 南京航空航天大学 | Electric water heater liner girth welding optimization process based on finite element method design |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108647465A (en) | A kind of optimization method of motorcycle rear fork welding condition | |
| CN103745053B (en) | A kind of PE electric melting pipe fittings welding condition formulating method based on finite element | |
| CN105975708A (en) | Steel tube welding parameter optimization method based on numerical simulation and data analysis | |
| CN101412149B (en) | Electron-bombardment welding technique | |
| WO2020155966A1 (en) | Control method for welding stress and distortion in local post weld heat treatment of ultra-large pressure vessel | |
| CN104008219B (en) | A kind of Analysis on Welding Deformation Forecasting Methodology | |
| CN106529051A (en) | Method for determining heat source model parameters of single wire submerged arc welding numerical simulation | |
| CN102513688A (en) | Keyhole repairing welding method for friction stir welding of thick plate aluminum alloy | |
| CN104298817A (en) | Double-ellipse exponential decay body heat source model for simulating high-energy beam welding | |
| Perić et al. | Numerical prediction and experimental validation of temperature and residual stress distributions in buried‐arc welded thick plates | |
| CN112883623A (en) | Fe-36% Ni alloy PMIG swing welding heat-mechanical coupling finite element modeling method | |
| CN112276313A (en) | Method for predicting hot and cold multi-wire composite submerged arc welding thermal cycle parameters of large steel structural part | |
| CN107971626A (en) | High ferro car connecting plate agitating friction weldering assembly welding technique method | |
| JPS5868468A (en) | Electrode tandem type submerged arc welding method | |
| CN103273207A (en) | Press machine body welding deformation eliminating method based on residual stress quantitative analysis | |
| CN101767243B (en) | Method for welding tuyere-cooler casing and blast furnace casing | |
| CN104057210B (en) | Strength theory based welding design method | |
| CN107309527A (en) | The Large Heat Input Welding technique of marine engineering large thick steel plate under a kind of low temperature | |
| CN108655568A (en) | A kind of device and method of the electric arc combined welding minor diameter thin wall pipe of magnetic field assistant laser | |
| CN113065272A (en) | Method for rapidly realizing numerical simulation of welding deformation | |
| Shu et al. | Prediction of vulnerable zones based on residual stress and microstructure in CMT welded aluminum alloy joint | |
| CN112317960B (en) | Laser welding full process method based on ICME | |
| CN101332529A (en) | Welding process of thin-wall hexagonal tube | |
| CN103605861A (en) | Pipeline steel welding residual stress prediction method based on ANSYS | |
| Kumar et al. | Theoretical investigation of penetration characteristics in gas metal-arc welding using finite element method |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181012 |