"Black art" of thin film coating: why this term is used and how to change this mind-set

1996 ◽  
Author(s):  
S. W. Jansen ◽  
Philip J. Hatchett ◽  
S. W. Hughes ◽  
D. Paul Jones ◽  
Desmond R. Gibson
Keyword(s):  
Thin Film ◽  
Film Coating ◽  
Thin Film Coating ◽  
Black Art ◽  
Mind Set

scholarly journals Oxidation of boron-titanium thin film coating during cyclic tests on thermal shock

2020 ◽  
Vol 1005 ◽  
pp. 012006
Author(s):  
E E Suslov ◽  
A S Larionov ◽  
S B Kislitsin ◽  
I I Chernov ◽  
M S Staltsov ◽  
...  
Keyword(s):  
Thin Film ◽  
Thermal Shock ◽  
Film Coating ◽  
Cyclic Tests ◽  
Thin Film Coating ◽  
Titanium Thin Film

The Wear Features of a Plasma Thin-Film Coating on High-Speed Steel

2020 ◽  
Vol 41 (2) ◽  
pp. 160-168
Author(s):  
I. A. Rastegaev ◽  
I. I. Rastegaeva ◽  
D. L. Merson ◽  
V. A. Korotkov
Keyword(s):  
Thin Film ◽  
High Speed ◽  
High Speed Steel ◽  
Film Coating ◽  
Thin Film Coating

scholarly journals Multilayer SiC/C Thin Film Coating on Fiber Tip for Raman Probe Application

2021 ◽  
Vol 1892 (1) ◽  
pp. 012016
Author(s):  
Nur Nabilah Samsudin ◽  
Muhammad Firdaus Omar
Keyword(s):  
Thin Film ◽  
Film Coating ◽  
Thin Film Coating ◽  
Raman Probe

scholarly journals Strategically prolonged release of multiple antibacterial components from a thin film coating for synergistic effects against Staphylococcus aureus infections

RSC Advances ◽  
2019 ◽  
Vol 9 (56) ◽  
pp. 32683-32690 ◽  
Author(s):  
Meijun Song ◽  
Haidong Zhu ◽  
Lin Ye ◽  
Chengxiang Liu ◽  
Zhaojun Xu
Keyword(s):  
Thin Film ◽  
Staphylococcus Aureus ◽  
Synergistic Effects ◽  
Film Coating ◽  
Prolonged Release ◽  
Thin Film Coating

Biomaterial-associated infections (BAIs) remain a major challenge in clinical surgery because they can potentially cause serious disabilities in patients.

scholarly journals CVD and PVD coating process modelling by using artificial neural networks

2012 ◽  
Vol 1 (1) ◽  
pp. 46 ◽  
Author(s):  
Amir Mahyar Khorasani ◽  
Mohammad Reza Solymany yazdi ◽  
Mehdi Faraji ◽  
Alex Kootsookos
Keyword(s):  
Thin Film ◽  
Vapor Deposition ◽  
Physical Vapor Deposition ◽  
Chemical Vapor ◽  
Film Coating ◽  
Deposition Process ◽  
Thin Film Coating ◽  
Mlp Neural Network ◽  
Titanium Thin Film ◽  
Pvd Coating

Thin-film coating plays a prominent role on the manufacture of many industrial devices. Coating can increase material performance due to the deposition process. Having adequate and precise model that can predict the hardness of PVD and CVD processes is so helpful for manufacturers and engineers to choose suitable parameters in order to obtain the best hardness and decreasing cost and time of industrial productions. This paper proposes the estimation of hardness of titanium thin-film layers as protective industrial tools by using multi-layer perceptron (MLP) neural network. Based on the experimental data that was obtained during the process of chemical vapor deposition (CVD) and physical vapor deposition (PVD), the modeling of the coating variables for predicting hardness of titanium thin-film layers, is performed. Then, the obtained results are experimentally verified and very accurate outcomes had been attained.

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