Online Monitoring Based on Temperature Field Features and Prediction Model for Selective Laser Sintering Process
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Additive Manufacturing Materials and Processes · Manufacturing Process and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
College of Engineering and Applied Science, University of Cincinnati, Cincinnati, OH 45220, USA
Beijing Materials Handling Research Institute Co., LTD, Beijing 100007, China
Funding
National Natural Science Foundation of China
References (18)
Show source-provided references
1. Selective laser melting of Ti6Al4V alloy for biomedical applications: Temperature monitoring and microstructural evolution10.1016/j.jallcom.2013.08.183 ↗
2. Study on influential factors for process monitoring and control in laser aided additive manufacturing10.1016/j.jmatprotec.2012.10.006 ↗
3. A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing10.1115/1.4028540 ↗
4. State space model for online monitoring selective laser melting process using data mining techniques10.1504/IJMR.2018.093716 ↗
5. Bayle, F., and Doubenskaia, M. (2008). Selective Laser Melting process monitoring with high speed infra-red camera and pyrometer. Proc. SPIE Int. Soc. Opt. Eng.10.1117/12.786940 ↗
6. Definition of brightness temperature and restoration of true temperature in laser cladding using infrared camera10.1016/j.surfcoat.2012.10.044 ↗
7. Detection of Process Failures in Layerwise Laser Melting with Optical Process Monitoring10.1016/j.phpro.2012.10.097 ↗
8. Craeghs, T., Clijsters, S., Yasa, E., and Kruth, J.P. (2011, January 8–10). Online quality control of selective laser melting. Proceedings of the 20th Solid Freeform Fabrication (SFF) Symposium, Austin, TX, USA.
9. In situ quality control of the selective laser melting process using a high-speed; real-time melt pool monitoring system10.1007/s00170-014-6214-8 ↗
10. Layerwise Monitoring of the Selective Laser Melting Process by Thermography10.1016/j.phpro.2014.08.097 ↗
11. Krauss, H., Eschey, C., and Zaeh, M.F. (2012, January 6–8). Thermography for Monitoring the Selective Laser Melting Process. Proceedings of the Solid Freeform Fabrication Symposium, Austin, TX, USA.
12. Investigations on Temperature Fields during Laser Beam Melting by Means of Process Monitoring and Multiscale Process Modelling
13. Thermographic process monitoring in powder bed based additive manufacturing
14. Optical monitoring of high power direct diode laser cladding10.1016/j.optlastec.2014.06.002 ↗
15. Thombansen, U., and Abels, P. (2016). Observation of melting conditions in selective laser melting of metals (SLM). SPIE LASE. Int. Soc. Opt. Photonics, 9741.10.1117/12.2213952 ↗
16. Kleszczynski, S., Joschka, J., Jan, S., and Gerd, W. (2012, January 6–8). Error detection in laser beam melting systems by high resolution imaging. Proceedings of the International Solid Freeform Fabrication Symposium—An Additive Manufacturing Conference, Austin, TX, USA.
17. Influence of the shielding gas flow on the removal of process by-products in the selective laser melting process
18. Zeng, K., Pal, D., and Stucker, B. (2012, January 6–8). A review of thermal analysis methods in laser sintering and selective laser melting. Proceedings of the Solid Freeform Fabrication Symposium, Austin, TX, USA.