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Comparison of RSM, ANN and PSO Algorithms to Predict the Porosity Level of Twin Wire Arc Sprayed Aluminium Coatings on AZ31B Magnesium Alloy.

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Title: Comparison of RSM, ANN and PSO Algorithms to Predict the Porosity Level of Twin Wire Arc Sprayed Aluminium Coatings on AZ31B Magnesium Alloy.
Authors: Kumar, L. Govind Sanjeev1 govindsanjeev.safety@gmail.com, Thirumalaikumarasamy, D.1, Karthikeyan, K.2, Mathanbabu, M.3, Elango, E.4, Penmetsa, Ravi Varma5
Source: International Journal of Vehicle Structures & Systems (IJVSS). 2024, Vol. 16 Issue 3, p390-395. 6p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Vehicle+Structures+%26+Systems+%28IJVSS%29%22">International Journal of Vehicle Structures & Systems (IJVSS)</searchLink>. 2024, Vol. 16 Issue 3, p390-395. 6p.
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        Value: 10.4273/ijvss.16.3.13
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        Text: English
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        PageCount: 6
        StartPage: 390
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      – TitleFull: Comparison of RSM, ANN and PSO Algorithms to Predict the Porosity Level of Twin Wire Arc Sprayed Aluminium Coatings on AZ31B Magnesium Alloy.
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            NameFull: Kumar, L. Govind Sanjeev
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              Text: 2024
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              Y: 2024
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