Academic Profile : Faculty
Assoc Prof Moon Seung Ki
Associate Professor, School of Mechanical & Aerospace Engineering
Assistant Chair (Research), School of Mechanical and Aerospace Engineering (MAE)
Email
External Links
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Zhang, H., Choi, J.P., Moon, S.K., and Ngo, T.H. (2020). A hybrid multi-objective optimization of aerosol jet printing process via response surface methodology. Additive Manufacturing, 33(May), 101096.
Sacco, E. and Moon, S.K. (2019). Additive Manufacturing for Space: Status and Promise. International Journal of Advanced Manufacturing Technology, 105(10), 4123-4146.
Zhang, H., Moon, S.K., and Ngo, T.H. (2019). Hybrid Machine Learning Method to Determine the Optimal Process Operating Window in Aerosol Jet 3D Printing. ACS Applied Materials and Interfaces, 11(19), 17994-18003.
Kim, S. and Moon, S.K. (2019). Eco-Modular Product Architecture Identification and Assessment for Product Recovery. Journal of Intelligent Manufacturing, 30(1), 383-403.
Yao, X., Moon, S.K., and Bi, G. (2017). A Hybrid Machine Learning Approach for Additive Manufacturing Design Feature Recommendation. Rapid Prototyping Journal, 23(6), 983-997.
Sacco, E. and Moon, S.K. (2019). Additive Manufacturing for Space: Status and Promise. International Journal of Advanced Manufacturing Technology, 105(10), 4123-4146.
Zhang, H., Moon, S.K., and Ngo, T.H. (2019). Hybrid Machine Learning Method to Determine the Optimal Process Operating Window in Aerosol Jet 3D Printing. ACS Applied Materials and Interfaces, 11(19), 17994-18003.
Kim, S. and Moon, S.K. (2019). Eco-Modular Product Architecture Identification and Assessment for Product Recovery. Journal of Intelligent Manufacturing, 30(1), 383-403.
Yao, X., Moon, S.K., and Bi, G. (2017). A Hybrid Machine Learning Approach for Additive Manufacturing Design Feature Recommendation. Rapid Prototyping Journal, 23(6), 983-997.