Research on Propagation Characteristics of Stress Waves in Laser Shock Processing for DD6 Single Crystal Alloy Materials

2012 ◽  
Vol 164 ◽  
pp. 3-6 ◽  
Author(s):  
Ying Wu Fang ◽  
Ying Hong Li ◽  
Hui Wang

The finite element ANSYS/LS-DYNA was applied to simulate the propagation characteristics of stress waves in laser shock processing (LSP) for DD6 single crystal alloy materials. The constitutive model of dynamic response and computational modeling of LSP was built in this paper. Results of numerical simulation indicates that the change of stress waves was mainly appeared to the first wave, and the time with fluctuation was expanded slowly with the spread depth of stress wave was increased. The results can be used as theoretical basis for optimizing the process parameters in laser shock processing.

2010 ◽  
Vol 43 ◽  
pp. 624-627
Author(s):  
Jie Zhang ◽  
Xiang Gu ◽  
Hai Wei Ye ◽  
Kang Wen Li

Laser Shock Processing (LSP) is a kind of new surface hardening technology, which can increase fatigue life obviously. Due to the LSP, the residual stress is generated and dislocations increase obviously in the surface of specimen, so the fatigue life of specimen processed by LSP increases. Thanks to the finite element programs, it is able to simulate the fatigue life. The simulation of fatigue life has important significance, which not only can reduce the costs of fatigue test and research, but also further study the effect of LSP on fatigue life. The results of fatigue test coincide with the results of simulation.


2011 ◽  
Vol 464 ◽  
pp. 627-631
Author(s):  
Jie Zhang ◽  
Ai Hua Sun ◽  
Le Zhu ◽  
Xiang Gu

Welding residual stress is one of the main factors that affect the strength and life of components. In order to explore the effect on residual stress of welding line by laser shock processing, finite element analysis software ANSYS is used to simulate the welding process, to calculate the distribution of welding residual stress field. On this basis, then AYSYS/LS-DYNA is used to simulate the laser shock processing on welding line. Simulation results show that residual stress distributions of weld region, heat-affected region and matrix by laser shock processing are clearly improved, and the tensile stress of weld region effectively reduce or eliminate. The simulation results and experimental results are generally consistent, it offer reasons for parameter optimization of welding and laser shock processing by finite element analysis software.


2011 ◽  
Vol 189-193 ◽  
pp. 3778-3781
Author(s):  
Yin Fang Jiang ◽  
Lei Fang ◽  
Zhi Fei Li ◽  
Zhen Zhou Tang

Laser shock processing is a technique similar to shot peening that imparts compressive residual stresses in materials for improved fatigue resistance. Finite element analysis techniques have been applied to predict the residual stresses from Laser shock processing. The purpose of this paper is to investigate of the different sheet thickness interactions on the stress distribution during the laser shock processing of 7050-T7451 aluminum alloy by using the finite element software. The results indicate that the sheet thickness has little effects on the compression stress in the depth of sheet, but great impacts on the reserve side.


Author(s):  
Yongxiang Hu ◽  
Zhi Li ◽  
Kangmei Li ◽  
Zhenqiang Yao

Accurate numerical modeling of laser shock processing, a typical complex physical process, is very difficult because several input parameters in the model are uncertain in a range. And numerical simulation of this high dynamic process is very computational expensive. The Bayesian Gaussian process method dealing with multivariate output is introduced to overcome these difficulties by constructing a predictive model. Experiments are performed to collect the physical data of shock indentation profiles by varying laser power densities and spot sizes. A two-dimensional finite element model combined with an analytical shock pressure model is constructed to obtain the data from numerical simulation. By combining observations from experiments and numerical simulation of laser shock process, Bayesian inference for the Gaussian model is completed by sampling from the posterior distribution using Morkov chain Monte Carlo. Sensitivities of input parameters are analyzed by the hyperparameters of Gaussian process model to understand their relative importance. The calibration of uncertain parameters is provided with posterior distributions to obtain concentration of values. The constructed predictive model can be computed efficiently to provide an accurate prediction with uncertainty quantification for indentation profile by comparing with experimental data.


2010 ◽  
Vol 37 (12) ◽  
pp. 3192-3195 ◽  
Author(s):  
张洁 Zhang Jie ◽  
顾祥 Gu Xiang ◽  
祝乐 Zhu Le ◽  
孙爱华 Sun Aihua

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