R
Ray Y. Lin
Researcher at University of Cincinnati
Publications - 52
Citations - 975
Ray Y. Lin is an academic researcher from University of Cincinnati. The author has contributed to research in topics: Coating & Sputter deposition. The author has an hindex of 18, co-authored 52 publications receiving 913 citations. Previous affiliations of Ray Y. Lin include National Taiwan University.
Papers
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Journal ArticleDOI
Amorphous molybdenum nitride thin films prepared by reactive sputter deposition
Yimin Wang,Ray Y. Lin +1 more
TL;DR: In this article, the effect of sputtering gas nitrogen content on the structure of as-deposited thin film was investigated, and it was shown that the nitrogen content in sputtering gases affected the crystallinity of deposited thin films.
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Sputter-deposited nanocrystalline Cr and CrN coatings on steels
J.W. Seok,N.M. Jadeed,Ray Y. Lin +2 more
TL;DR: In this paper, a magnetron sputter-deposition system for chromium and chromium-nitride coatings on steels has been used to achieve a 1.2 μm/h deposition rate and was not affected by the nitrogen content in the sputtering gas.
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Reactive sputter deposition of chromium nitride coatings
Mahendra Pakala,Ray Y. Lin +1 more
TL;DR: In this article, the effect of substrate temperature and sputtering gas composition on the structure and properties of chromium-chromium nitride films deposited on C-1040 steel using r.f. magnetron sputter deposition was investigated.
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Effect of particle size distribution on sintering
J. M. Ting,Ray Y. Lin +1 more
TL;DR: In this paper, a sintering model, taking into account the effect of particle size distribution and grain growth, was developed for high purity alumina powders, and the results agreed with the prediction of the model.
Journal ArticleDOI
Effect of particle size distribution on sintering: Part II Sintering of alumina
J. M. Ting,Ray Y. Lin +1 more
TL;DR: In this paper, a sintering model, taking into account the effect of particle size distribution and grain growth, was developed for high purity alumina powders, and the results agreed with the prediction of the model.