Simulation of the densification of semicrystalline polymer powders during the selective laser sintering process: Application to Nylon 12

2008 ◽  
Vol 50 (6) ◽  
pp. 704-709 ◽  
Author(s):  
L. Dong ◽  
A. Makradi ◽  
S. Ahzi ◽  
Y. Remond ◽  
X. Sun
Keyword(s):  
Selective Laser Sintering ◽  
Laser Sintering ◽  
Semicrystalline Polymer ◽  
Sintering Process ◽  
Nylon 12 ◽  
Polymer Powders

scholarly journals A three dimensional meshfree-simulation of the selective laser sintering process with constant thermal coefficients applied to nylon 12 powders

2019 ◽  
Vol 286 ◽  
pp. 04003
Author(s):  
H. Yaagoubi ◽  
H. Abouchadi
Keyword(s):  
Heat Conduction ◽  
Meshless Method ◽  
Heat Conduction Equation ◽  
Selective Laser Sintering ◽  
Three Dimensional ◽  
Laser Sintering ◽  
Sintering Process ◽  
Nylon 12 ◽  
The Difference ◽  
Radiation Conditions

3D printing is an intersting process in the context of creating original objects. Selective laser sintering printers use a laser to fuse polyamide particles together with specific resin and heat. The difference in temperature between the different areas in the process causes the appearance of deformations, the objective of this work is the modeling of the thermal SLS phenomenona, by following the evolution of the temperature as a function of time.This model is based on the resolution of the heat conduction equation coupling with convection and radiation conditions with a distribution heat source and constant thermal coefficients by the meshless method based on radial basis function , the result of this study,will be presented and compared with other works.

scholarly journals Material Evaluation and Process Optimization of CNT-Coated Polymer Powders for Selective Laser Sintering

Polymers ◽  
2016 ◽  
Vol 8 (10) ◽  
pp. 370 ◽  
Author(s):  
Shangqin Yuan ◽  
Jiaming Bai ◽  
Chee Chua ◽  
Jun Wei ◽  
Kun Zhou
Keyword(s):  
Process Optimization ◽  
Selective Laser Sintering ◽  
Laser Sintering ◽  
Material Evaluation ◽  
Polymer Powders

scholarly journals Online Monitoring Based on Temperature Field Features and Prediction Model for Selective Laser Sintering Process

2018 ◽  
Vol 8 (12) ◽  
pp. 2383 ◽  
Author(s):  
Zhehan Chen ◽  
Xianhui Zong ◽  
Jing Shi ◽  
Xiaohua Zhang
Keyword(s):  
Temperature Field ◽  
Prediction Model ◽  
Selective Laser Sintering ◽  
Principal Component ◽  
Laser Sintering ◽  
Support Vector ◽  
Sintering Process ◽  
Metal Materials ◽  
Key Features ◽  
The Mathematical Model

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.

Physical Modeling for Selective Laser Sintering Process

2017 ◽  
Vol 17 (2) ◽  
Author(s):  
Arash Gobal ◽  
Bahram Ravani
Keyword(s):  
Physical Modeling ◽  
Large Scale ◽  
Selective Laser Sintering ◽  
Powdered Material ◽  
Laser Sintering ◽  
Industrial Applications ◽  
Transient Temperature ◽  
Sintering Process ◽  
Powder Bed ◽  
Selective Heating

The process of selective laser sintering (SLS) involves selective heating and fusion of powdered material using a moving laser beam. Because of its complicated manufacturing process, physical modeling of the transformation from powder to final product in the SLS process is currently a challenge. Existing simulations of transient temperatures during this process are performed either using finite-element (FE) or discrete-element (DE) methods which are either inaccurate in representing the heat-affected zone (HAZ) or computationally expensive to be practical in large-scale industrial applications. In this work, a new computational model for physical modeling of the transient temperature of the powder bed during the SLS process is developed that combines the FE and the DE methods and accounts for the dynamic changes of particle contact areas in the HAZ. The results show significant improvements in computational efficiency over traditional DE simulations while maintaining the same level of accuracy.

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