Y
Yung C. Shin
Researcher at Purdue University
Publications - 354
Citations - 16962
Yung C. Shin is an academic researcher from Purdue University. The author has contributed to research in topics: Machining & Laser. The author has an hindex of 61, co-authored 344 publications receiving 13765 citations. Previous affiliations of Yung C. Shin include American Bureau of Shipping & Pennsylvania State University.
Papers
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The status, challenges, and future of additive manufacturing in engineering
Wei Gao,Yunbo Zhang,Devarajan Ramanujan,Karthik Ramani,Yong Chen,Christopher B. Williams,Charlie C. L. Wang,Yung C. Shin,Song Zhang,Pablo D. Zavattieri +9 more
TL;DR: Future directions such as the "print-it-all" paradigm, that have the potential to re-imagine current research and spawn completely new avenues for exploration are pointed out.
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Additive manufacturing of Ti6Al4V alloy: A review
Shunyu Liu,Yung C. Shin +1 more
TL;DR: In this paper, the recent progress on Ti6Al4V fabricated by three mostly developed additive manufacturing techniques-directed energy deposition (DED), selective laser melting (SLM) and electron beam melting (EBM)-is thoroughly investigated and compared.
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Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems
TL;DR: This paper presents a means to approximate the dynamic and static equations of stochastic nonlinear systems and to estimate state variables based on radial basis function neural network (RBFNN).
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Modeling of machining of composite materials: A review
TL;DR: A comprehensive review of literature on modeling of machining of composite materials with a focus on the process of turning can be found in this paper, where the focus is on glass and carbon fiber reinforced polymeric composites and long fiber reinforced metal matrix composites.
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Remanufacturing of turbine blades by laser direct deposition with its energy and environmental impact analysis
TL;DR: In this paper, the authors demonstrate the successful repair of defective voids in turbine airfoils based on a new semi-automated geometric reconstruction algorithm and a laser direct deposition process.