Additive Manufacturing: Current State, Future Potential, Gaps and Needs, and Recommendations
By Yong Huang, Ming C. Leu, Jyoti Mazumder, A. Donmez. 2015
882 citations recorded by the source corpus.
Subfields: Automotive Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/04fa83a5d5a790bcda916b1374a3fb2ee607c7ef
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Biomedical Engineering
In Industrial and Manufacturing Engineering
- W. Y. Yeong
- Swee Leong Sing
- Zhen Hu
- T. Mukherjee
- H. Wei
- Moataz M. Attallah
- Sankaran Mahadevan
- Yan Wang
Citations in the corpus
- Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities (2017, background): “AM is opposite to traditional manufacturing, which usually subtracts materials through a series of processes like casting, molding, andmachining [2].”
- Development of Micro Selective Laser Melting: The State of the Art and Future Perspectives (2019, background): “The development of additive manufacturing (AM) technology over the past two decades has opened up new horizons in metal fabrication, given the ability of AM to realize any complex geometry [4,5].”
- Real-time FDM machine condition monitoring and diagnosis based on acoustic emission and hidden semi-Markov model (2017, background): “There is an urgent need of implementing closedloop monitoring and control of AM processes to allow industy to benefit from this new technology [37,35,18, 9].”
- The barriers to the progression of additive manufacture: perspectives from UK industry (2018, background): “Huang et al. (2015) outline strategies for increasing AM knowledge in education, the workforce and public initiatives.”