Temperature field simulation of functional ceramics during CO2 laser sintering

Author(s):  
Xinyu Du ◽  
Lingfei Ji ◽  
Yijian Jiang
2018 ◽  
Vol 8 (12) ◽  
pp. 2383 ◽  
Author(s):  
Zhehan Chen ◽  
Xianhui Zong ◽  
Jing Shi ◽  
Xiaohua Zhang

Selective laser sintering (SLS) is an additive manufacturing technology that can work with a variety of metal materials, and has been widely employed in many applications. The establishment of a data correlation model through the analysis of temperature field images is a recognized research method to realize the monitoring and quality control of the SLS process. In this paper, the key features of the temperature field in the process are extracted from three levels, and the mathematical model and data structure of the key features are constructed. Feature extraction, dimensional reduction, and parameter optimization are realized based on principal component analysis (PCA) and support vector machine (SVM), and the prediction model is built and optimized. Finally, the feasibility of the proposed algorithms and model is verified by experiments.


2010 ◽  
Vol 455 ◽  
pp. 345-349
Author(s):  
B.C. Xie ◽  
Zhen Long Wang ◽  
Yu Kui Wang ◽  
Jing Zhi Cui

In this paper, a thermo-physical model of the electric discharge machining process using finite element method is presented. In this model, parameters such as convection, the latent heat and the thermal properties based on temperature dependent etc. are studied to predict the temperature distribution in the workpiece. The temperature field simulation and experiment were carried out by adopting parameters through optimum pulse curve, and amending the effects of recast layer, the simulation results amended shows a better agreement with experimental results, indicating a theoretical foundation for mechanism of material removal in EDM machining.


Laser Physics ◽  
2020 ◽  
Vol 30 (5) ◽  
pp. 055601
Author(s):  
E N Antonov ◽  
A G Dunaev ◽  
A N Konovalov ◽  
S A Minaeva ◽  
V K Popov

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