Seung Ki Moon
Seung Ki Moon
Associate Professor of Mechanical and Aerospace Engineering, Nanyang Technological University
Verified email at - Homepage
Cited by
Cited by
Strength and strain hardening of a selective laser melted AlSi10Mg alloy
B Chen, SK Moon, X Yao, G Bi, J Shen, J Umeda, K Kondoh
Scripta Materialia 141, 45-49, 2017
Application of 3D printing technology for designing light-weight unmanned aerial vehicle wing structures
SK Moon, YE Tan, J Hwang, YJ Yoon
International Journal of Precision Engineering and Manufacturing-Green …, 2014
Process monitoring and inspection systems in metal additive manufacturing: Status and applications
ZY Chua, IH Ahn, SK Moon
International Journal of Precision Engineering and Manufacturing-Green …, 2017
Global views on modular design research: linking alternative methods to support modular product family concept development
K Otto, K Hölttä-Otto, TW Simpson, D Krause, S Ripperda, S Ki Moon
Journal of Mechanical Design 138 (7), 071101, 2016
Design for additive manufacturing in customized products
H Ko, SK Moon, J Hwang
International Journal of Precision Engineering and Manufacturing 16, 2369-2375, 2015
A module-based service model for mass customization: service family design
SK Moon, J Shu, TW Simpson, SRT Kumara
Iie Transactions 43 (3), 153-163, 2010
Numerical and experimental study of laser aided additive manufacturing for melt-pool profile and grain orientation analysis
J Song, Y Chew, G Bi, X Yao, B Zhang, J Bai, SK Moon
Materials & Design 137, 286-297, 2018
A hybrid machine learning approach for additive manufacturing design feature recommendation
X Yao, SK Moon, G Bi
Rapid Prototyping Journal, 2017
A Decision Support System for market-driven product positioning and design
N Lei, SK Moon
Decision Support Systems 69, 82-91, 2015
Additive manufacturing for space: status and promises
E Sacco, SK Moon
The International Journal of Advanced Manufacturing Technology 105, 4123-4146, 2019
Rapid surface defect identification for additive manufacturing with in-situ point cloud processing and machine learning
L Chen, X Yao, P Xu, SK Moon, G Bi
Virtual and Physical Prototyping 16 (1), 50-67, 2021
Data mining and fuzzy clustering to support product family design
SK Moon, SRT Kumara, TW Simpson
International Design Engineering Technical Conferences and Computers and …, 2006
Sustainable platform identification for product family design
S Kim, SK Moon
Journal of cleaner production 143, 567-581, 2017
Platform design variable identification for a product family using multi-objective particle swarm optimization
SK Moon, KJ Park, TW Simpson
Research in Engineering Design 25, 95-108, 2014
3D printed electronics of non-contact ink writing techniques: status and promise
H Zhang, SK Moon, TH Ngo
International Journal of Precision Engineering and Manufacturing-Green …, 2020
Femtosecond laser produced hydrophobic hierarchical structures on additive manufacturing parts
L Jiao, ZY Chua, SK Moon, J Song, G Bi, H Zheng
Nanomaterials 8 (8), 601, 2018
An agent-based recommender system for developing customized families of products
SK Moon, TW Simpson, SRT Kumara
Journal of Intelligent Manufacturing 20, 649-659, 2009
Service representation for capturing and reusing design knowledge in product and service families using object-oriented concepts and an ontology
S Ki Moon, TW Simpson, J Shu, SRT Kumara
Journal of Engineering Design 20 (4), 413-431, 2009
A methodology for knowledge discovery to support product family design
SK Moon, TW Simpson, SRT Kumara
Annals of Operations Research 174, 201-218, 2010
The M/M/1 queue with a production-inventory system and lost sales
JW Baek, SK Moon
Applied Mathematics and Computation 233, 534-544, 2014
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