An improved optimization model to predict the microhardness of Ni/Al2O3 nanocomposite coatings prepared by electrodeposition: A hybrid artificial neural network-modified particle swarm optimization approach
•Usage of ANN-MPSO strategy for modeling of the microhardness of Ni/Al2O3 nanocomposites.•Studying the practical parameters effects on Ni/Al2O3 nanocomposites microhardness.•Verifying the predicted optimal condition using the experimental data.•Preparation of Ni/Al2O3 nanocomposites by DC electrodep...
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Published in | Measurement : journal of the International Measurement Confederation Vol. 179; p. 109423 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
London
Elsevier Ltd
01.07.2021
Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | •Usage of ANN-MPSO strategy for modeling of the microhardness of Ni/Al2O3 nanocomposites.•Studying the practical parameters effects on Ni/Al2O3 nanocomposites microhardness.•Verifying the predicted optimal condition using the experimental data.•Preparation of Ni/Al2O3 nanocomposites by DC electrodeposition with microhardness 870 HV.
This study has employed a particle swarm optimization-based artificial neural network approach to predict the microhardness of Ni/Al2O3nanocomposite coatings prepared by electrodeposition. At first, in order to collect the experimental data, the experiments were designed using a factorial D-optimal array. By considering the effective operating parameters in the electrochemical deposition as independent variables, 105 repeated tests were performed, and the microhardness of the coatings was determined as a dependent variable. Various ANN-MPSO networks were validated using the correlation coefficient, mean bias error, root mean square error,and mean percentage error as criteria. The experiments confirmed the possibility of providing coating with the microhardness of approximately 870 HV. The results demonstrated that the proposed model was an appropriate, applicable, and precise approach to predict the microhardness of Ni/Al2O3nanocomposite coatings. |
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ISSN: | 0263-2241 1873-412X |
DOI: | 10.1016/j.measurement.2021.109423 |