Miao, Huan and Yusof, Farazila and Karim, Mohd Sayuti Ab and Badruddin, Irfan Anjum and Hussien, Mohamed and Kamangar, Sarfaraz and Zhang, Hao (2023) Process parameter optimisation for selective laser melting of AlSi10Mg-316L multi-materials using machine learning method. International Journal of Advanced Manufacturing Technology, 129 (7-8). pp. 3093-3108. ISSN 0268-3768, DOI https://doi.org/10.1007/s00170-023-12489-5.
Full text not available from this repository.Abstract
The present work focuses on process parameter optimisation for selective laser melting (SLM) of AlSi10Mg-316L multi-materials using machine learning method. The properties of the multi-material samples were measured at different process parameters. These process parameter and property data were used to train and validate the machine learning model. A multi-output Gaussian process regression (MO-GPR) model was developed to directly predict the multidimensional output to overcome the limitations of the standard Gaussian process regression (GPR) model. Based on the prediction data, process parameter maps were constructed, and the optimal process parameters for different compositions were selected from the process parameter maps. The results showed that the laser power, scan velocity and hatching space have an important influence on the density and surface roughness of the samples. Results also indicated that there is no linear functional relationship between the optimal volumetric energy density (VED) values and the AlSi10Mg-316L compositions.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Malaya Faculty Research Grant 2023 with grant number GPF002A-2023, King Khalid University Small Groups Project with grant number RGP. 1/244/44. |
| Uncontrolled Keywords: | Selective laser melting; AlSi10Mg-316L multi-materials; Properties; Process parameter optimisation; Machine learning |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Centre for Foundation Studies in Science Faculty of Engineering > Department of Mechanical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 23 Oct 2025 07:18 |
| Last Modified: | 23 Oct 2025 07:18 |
| URI: | http://eprints.um.edu.my/id/eprint/50116 |
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