| 通过人工神经网络的建模和预测手段开展使用ENi-P-纳米二氧化钛复合涂层对AH36钢进行表面改性研究（英文） |
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| 作者姓名： | R Anthoni Sagaya Selvan Dinesh G.Thakur M.Seeman Mahesh Naik |
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| 作者单位： | 2. Centre for Materials Joining and Research (CEMAJOR),Department of Manufacturing Engineering, Annamalai University |
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| 摘 要： | 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, fortyfive 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 from the 45 specimens. The optimal design wa...
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