Sing Swee Leong
Assistant Professor, Department of Mechanical Engineering, College of Design and Engineering
Tel: 6772 4331
Email: sweeleong.sing@nus.edu.sg
Tel: 6516 2552

What are your present research interests?

Our current research interests are enabling material development and creating strategic values for Industry 4.0 and beyond through the use and integration of advanced manufacturing. We are also actively involved in inter-disciplinary research to create translational work for the biomedical industry through advanced manufacturing.

Do you have a distinctive viewpoint to your research?

Advanced manufacturing is achieved through the true integration of virtual domains such as digital simulations and artificial intelligence with physical domains such as additive manufacturing or 3D printing. We look at the use of 3D printing as a unique opportunity to synthesise novel materials and realise product designs that were previously challenging using conventional techniques.

What do you see as your future research directions?

In the future, we aim to develop new materials and innovative products that are enabled by next generation 3D printing which has the capability for multi-material and in-situ material synthesis.

Does your laboratory have a particularly strong research expertise?

We have established relevant protocols and frameworks for material development in 3D printing. These materials can have targeted properties based on their end-use applications.

Recent Publications

1. P. Xue, L. Zhu, P. Xu, H. Lu, S. Wang, Z. Yang, J. Ning, S. L. Sing & Y. Ren (2022), Microstructure evolution and enhanced mechanical properties of additively manufactured CrCoNi medium-entropy alloy composites, Journal of Alloys and Compounds 928, 167169
2. Y. Liu, S. L. Sing, R. X. E. Lim, W. Y. Yeong & B.T. Goh (2022), Preliminary investigation on the geometric accuracy of 3D printed dental implant using a monkey maxilla incisor model, International Journal of Bioprinting 8 (1), 476
3. G. D. Goh, S. L. Sing, Y. F. Lim, J. L. J. Thong, Z. K. Peh, S. R. Mogali & W. Y. Yeong (2021), Machine learning for 3D printed multi-materials tissue-mimicking anatomical models, Materials & Design 211, 110125
4. S. L. Sing, C. N. Kuo, C. T. Shih, C. C. Ho & C. K. Chua (2021), Perspectives of using machine learning in laser powder bed fusion for metal additive manufacturing, Virtual and Physical Prototyping 16(3), 359 – 370
5. W. L. Ng, T. C. Ayi, Y. C. Liu, S. L. Sing, W. Y. Yeong & B. H. Tan (2021), Fabrication and characterization of 3D bioprinted triple-layered human alveolar lung models, International Journal of Bioprinting 7(2), 332
6. S. L. Sing, S. Huang, G. D. Goh, G. L. Goh, C. F. Tey, J. H. K. Tan & W. Y. Yeong (2021), Emerging metallic systems for additive manufacturing: In-situ alloying and multi-metal processing in laser powder bed fusion, Progress in Materials Science 119, 100795
7. G. D. Goh, S. L. Sing & W. Y. Yeong (2021), A review on machine learning in 3D printing: Applications, potential, and challenges, Artificial Intelligence Review 54, 63 – 94
8. E. Luis, H. M. Pan, S. L. Sing, R. Bajpai, J. Song, W. Y. Yeong (2020), 3D direct printing of silicone meniscus implant using a novel heat-cured extrusion-based printer, Polymers 12(5), 1031
9. S. Huang, S. L. Sing, G. Delooze, R. Wilson & W. Y. Yeong (2020), Laser powder bed fusion of titanium-tantalum alloys: Compositions and designs for biomedical applications, Journal of the Mechanical Behavior of Biomedical Materials 108, 103775
10. J. M. Lee, S. L. Sing & W. Y. Yeong (2020), Bioprinting of multimaterials with computer-aided design/computer-aided manufacturing, International Journal of Bioprinting 6(1), 245