Temperature field and residual stress distribution for laser metal deposition

2018 ◽  
Vol 30 (3) ◽  
pp. 032503 ◽  
Author(s):  
N. Pirch ◽  
M. Niessen ◽  
S. Linnenbrink ◽  
T. Schopphoven ◽  
A. Gasser ◽  
...  
2012 ◽  
Vol 503-504 ◽  
pp. 152-158 ◽  
Author(s):  
Yuan Kong ◽  
Wei Jun Liu ◽  
Yue Chao Wang

In order to improve that quality of sample and decrease the stress during process, it is of great importance to study the residual stress distribution during direct laser metal deposition (LMDS) process. In this paper, according to the “element life and death” technique of finite element method ,with APDL, we simulated the effects of long edge reciprocating scanning method, short edge reciprocating scanning method and direction orthogonal changing in different layers reciprocating scanning method to residual stress distribution during whole LMDS process are studied. The residual stress distribution under different scanning methods is researched in detail. Using the same process parameters, the simulation result show good agreement with the features of sample which fabricated by LMDS


2014 ◽  
Vol 989-994 ◽  
pp. 49-54
Author(s):  
Hao Wang

In order to improve the quality of sample and decrease the stress during process, it is important to study the residual stress distribution during direct laser metal deposition (LMDS) process. In this paper, according to the “element life and death” technique of finite element method ,with APDL, we simulated the effects of Laser power, scanning velocity, substrate preheat temperature and powder addition speed in top layer of samples residual stress distribution during whole LMDS process are studied. The residual stress distribution under different process parameters is researched in detail. Using the same process parameters, the simulation results show good agreement with the features of sample which fabricated by LMDS.


2011 ◽  
Vol 194-196 ◽  
pp. 20-25 ◽  
Author(s):  
Yong Zang ◽  
Bo Zhang ◽  
Li Hong Cui ◽  
Zhi Ying Gao

A spot-test of cooling after the finish-rolling was performed for the typical H-beam and the temperature field during the process and residual stress in the beams after the cooling were measured. By using finite element method, the cooling temperature-field of the H700×300 H-beam was simulated and the thermal stress distribution formed in this process was calculated by using thermo-mechanical coupling function. The simulation results matched well with the data obtained on the spot. The accurate description performed in this paper for the temperature field and residual stress distribution of H-beam during cooling process is especially helpful to the manufacture plant. According to the results the reasonable technical parameters can be constituted to control the temperature of the beam in the cooling process and reduce the residual stress in the final product.


2007 ◽  
Vol 345-346 ◽  
pp. 1469-1472
Author(s):  
Gab Chul Jang ◽  
Kyong Ho Chang ◽  
Chin Hyung Lee

During manufacturing the welded joint of steel structures, residual stress is produced and weld metal is used inevitably. And residual stress and weld metal influence on the static and dynamic mechanical behavior of steel structures. Therefore, to predict the mechanical behavior of steel pile with a welded joint during static and dynamic deformation, the research on the influence of the welded joints on the static and dynamic behavior of steel pile is clarified. In this paper, the residual stress distribution in a welded joint of steel piles was investigated by using three-dimensional welding analysis. The static and dynamic mechanical behavior of steel piles with a welded joint is investigated by three-dimensional elastic-plastic finite element analysis using a proposed dynamic hysteresis model. Numerical analyses of the steel pile with a welded joint were compared to that without a welded joint with respect to load carrying capacity and residual stress distribution. The influence of the welded joint on the mechanical behavior of steel piles during static and dynamic deformation was clarified by comparing analytical results


Author(s):  
A.G. Ramu ◽  
Sunwoo Kim ◽  
Heungwoo Jeon ◽  
Amal M. Al-Mohaimeed ◽  
Wedad A. Al-onazi ◽  
...  

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