|Table of Contents|

 R. Anthoni Sagaya Selvan,Dinesh G. Thakur,M. Seeman,et al.Surface Modification of AH36 Steel Using ENi-P-nano TiO2 Composite Coatings Through ANN-Based Modelling and Prediction[J].Journal of Marine Science and Application,2022,(3):193-203.[doi:10.1007/s11804-022-00288-5]
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Surface Modification of AH36 Steel Using ENi-P-nano TiO2 Composite Coatings Through ANN-Based Modelling and Prediction


Surface Modification of AH36 Steel Using ENi-P-nano TiO2 Composite Coatings Through ANN-Based Modelling and Prediction
R. Anthoni Sagaya Selvan1 Dinesh G. Thakur1 M. Seeman2 Mahesh Naik1
R. Anthoni Sagaya Selvan1 Dinesh G. Thakur1 M. Seeman2 Mahesh Naik1
1 Department of Mechanical Engineering, DIAT(DU), Pune-411025, India;
2 Centre for Materials Joining and Research(CEMAJOR), Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar-608002, India
AH36 steel|ENi-P-nanoTiO2 composite coatings|Artificial neural networks|Taguchi DOE|Microhardness|Mean squared error
This study aims to analyse and forecast the significance of input process parameters to obtain a better ENi-P-TiO2 coated surface using artificial neural networks (ANN). By varying the four process parameters with the Taguchi L9 design, forty-five numbers of AH36 steel specimens are coated with ENi-P-TiO2 composites, and their microhardness values are determined. The ANN model was formulated using the input and output data obtained the 45 specimens. The optimal design was developed based on mean squared error (MSE) and R2 values. The experimentally measured values were compared with their predicted values to determine the ANN model’s predictability. The efficiency of the ANN model is evaluated with an R2 value of 0.959 and an MSE value of 34.563 4. The authors have concluded that the developed model is suitable for designing and predicting ENi-P-TiO2 composite coatings to avoid extensive experimentation with economic production. Scanning Electron Microscope (SEM) and X-ray diffraction analysis (XRD) are also utilised to compare the base metal and optimal coated surface.


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Received date:2022-04-09;Accepted date:2022-06-14。
Corresponding author:R. Anthoni Sagaya Selvan,E-mail:selvanras@gmail.com
Last Update: 2022-10-09