Examination of Impaction Efficiency of Sea-Salt Particle for an Airborne Sea-Salt and a Corrosion Sensor Using CFD Model
Author:
Affiliation:
1. Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry
2. Energy Transformation Research Laboratory, Central Research Institute of Electric Power Industry
Publisher
Japan Institute of Metals
Link
https://www.jstage.jst.go.jp/article/matertrans/65/8/65_MT-C2024003/_pdf
Reference31 articles.
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3. 3) S. Matsunami, S. Yagyu, T. Shinohara, H. Katayama, H. Suto, Y. Hattori and H. Hirakuchi: DEVELOPMENT OF ATMOSPHERIC CORROSION MODEL OF BRIDGES BASED ON WEATHER INFORMATION BY COMPUTATIONAL FLUID DYNAMICS AND MACHINE LEARNING, J. Japan Soc. Civil Eng. Ser. A1 75 (2019) 141–160. doi:10.2208/jscejseee.75.141
4. 4) E.D. Kenny, R.S.C. Paredes, L.A. de Lacerda, Y.C. Sica, G.P. de Souza and J. Lazaris: Artificial neural network corrosion modeling for metals in an equatorial climate, Corros. Sci. 51 (2009) 2266–2278. doi:10.1016/j.corsci.2009.06.004
5. 5) G.R. Meira, C. Andrade, C. Alonso, I.J. Padaratz and J.C. Borba: Modelling sea-salt transport and deposition in marine atmosphere zone – A tool for corrosion studies, Corros. Sci. 50 (2008) 2724–2731. doi:10.1016/j.corsci.2008.06.028
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