Prediction of Welding Deformation in Thin Plates and Pipes Using an Equivalent Thermal Strain Method

2021 ◽  
Vol 45 (6) ◽  
pp. 455-463
Author(s):  
Yong-Rae Kim ◽  
Young-Soo Yang ◽  
Changhoon Lee ◽  
Jae-Woong Kim
2021 ◽  
Vol 289 ◽  
pp. 116937
Author(s):  
Chao Wang ◽  
Duc Truong Pham ◽  
Chunbiao Wu ◽  
Jae-woong Kim ◽  
Shizhong Su ◽  
...  

2008 ◽  
Vol 24 (4) ◽  
pp. 301-309 ◽  
Author(s):  
Y.-X. Wang ◽  
P. Zhang ◽  
Z.-G. Hou ◽  
C.-Z. Li

AbstractThe transient thermal process of a thin-wall beam with CO2 Gas Metal Arc Welding (GMAW) is analyzed by Finite Element Analysis Method (FEA). The thermal input is simplified as transient section body heat sources and loaded as its actual sequence in the analysis. The transient temperature field obtained can represent the basic characteristics of the real welding process and can be used as the foundation of thermal elastic-plastic analysis. Based on the temperature field, thermal elastic-plastic FEA is performed on the thin-wall beam. The distribution and change of the welding deformation, stress and strain are obtained and compared with the experiment results. Also an improvement can be presented on the inherent strain method. Using the inherent strain method, the welding deformation of the thin-wall beam is calculated. The temperature loading method is developed to load the variable inherent strain value expediently. The loading of inherent strain value on spatial welding line that is unparallel to the global coordinate axis is achieved with the application of element coordinate system. Comparison with the experiment results shows that both the thermal-elastic-plastic analysis and inherent strain analysis method can be used to predict the welding deformation effectively, the results calculated by both the thermal-elastic-plastic analysis and inherent strain analysis are close to the test measure results.


2019 ◽  
Author(s):  
Muhammad Taha Ali

Globally in the shipbuilding industry, the computational method is a more productive method than the experimental and machine learning method. The Thermal Elastic Plastic (TEP) method for computational analysis is simulated in the FEMAP Software to analyse the welding deformation of thin plates. To validate the non – linear behaviour of the thin plate, the computational and experimental results are compared. The TEP – FEM method assesses the welding deformation in the thin plate and optimizes the welding procedure specification and sequence to increase productivity.


2019 ◽  
Vol 9 (22) ◽  
pp. 4906 ◽  
Author(s):  
Yongtai Kim ◽  
Jaewoong Kim ◽  
Sungwook Kang

The welding process, which accounts for about 60% of the shipbuilding process, inevitably involves weld deformation. Considering this, productivity can be significantly increased if weld deformation can be predicted during the design phase, taking into account the fabrication order. However, the conventional welding deformation prediction method using thermo-elasto-plastic analysis requires a long analysis time, and the welding deformation prediction method using equivalent load analysis has a disadvantage in that the welding residual stress cannot be considered. In this study, an inherent strain chart using a solid-spring model with two-dimensional constraints is proposed to predict the equivalent strain. In addition, the welding deformation prediction method proposed in this study, the equivalent strain method (ESM), was compared with the ship block experimental results (EXP), elasto-plastic analysis (EPA) results, and equivalent load analysis (ELM) results. Through this comparison, it was found that the application of the equivalent strain method made it possible to quickly and accurately predict weld deformation in consideration of the residual stress of the curved double-bottom block used in the shipyard.


Materials ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7180
Author(s):  
Takeshi Chino ◽  
Atsushi Kunugi ◽  
Toshikazu Kawashima ◽  
Goro Watanabe ◽  
Cao Can ◽  
...  

In a car body, there exist thousands of resistance spot welds, which may induce large deformation during the manufacturing process. Therefore, it is expected that automotive industries will develop a method and a computing system for the fast and simple prediction of its deformation. Although the inherent strain method has been used for the fast prediction of arc welding deformation, it has not been applied to resistance spot welding so far. Additionally, the electrical-thermal-mechanical coupling analysis for the deformation induced by resistance spot welding is complicated and much more time-consuming. Therefore, in this study, a nugget model of the resistance spot weld has been developed, and the inherent strain method is extended for use in the fast prediction of resistance spot welding deformation. In addition, the deformation of a vehicle part with 23 resistance spot welds was efficiently predicted within around 90 min using the inherent strain method, displaying good accuracy compared with the measurement.


2019 ◽  
Vol 9 (18) ◽  
pp. 3848 ◽  
Author(s):  
Sungwook Kang ◽  
Jaewoong Kim ◽  
Youngjae Jang ◽  
Kwangjin Lee

With the rise of electric vehicles, the use of battery modules, which are key units that drive vehicles, is increasing. The battery housing is the final form of a battery system mounted on electric vehicles, and is generally made of aluminum alloys, located at the bottom of the vehicle. The aluminum housing has a special shape to accommodate the battery module and is produced by welding extruded panels. This study applied friction stir welding (FSW) to weld 2.5 mm thin aluminum plates in order to improve the weldability and productivity. To increase productivity, we compared the mechanical properties after performing experiments under various FSW conditions. As a result, it was possible to derive speed-enabling welding conditions that can improve productivity without decreasing tensile strength. Deformation occurred in the structure during welding, causing gaps in the structure. Since these gaps have a significant influence on the degradation of mechanical properties after welding, the welding deformation at each step of welding must be calculated and reflected in the process. This study used the inherent strain method to calculate the deformation of each step of welding to apply automatic welding, and reduced the analysis time to 1/30 compared to the thermal elasto-plastic analysis method. Finally, this study verified the validity of the analysis method by comparing the experimental results with the numerical results using the inherent strain method.


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