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Experimental Study of Slurry Erosion of Ni-Hard Cast Iron and Prediction of Wear of Materials with the Use of Artificial Neural Network (ANN)

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Metal Science and Heat Treatment Aims and scope

The wear resistance of Ni-Hard alloyed cast iron under slurry erosion is studied. An attempt to predict the erosion wear of materials with the help of an artificial neural network (ANN) is made based on the experimental data on the wear of a slurry pot tester under different operating conditions. The ANN model for predicting the erosion wear of materials is proposed, which has been shown to be highly accurate. The model will allow choosing materials that satisfy the specific performance characteristics without conducting long-term tests under various operating conditions.

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Authors and Affiliations

  1. Department of Mechanical Engineering, SVNIT, Surat, India

    M. D. Makwana & B. M. Sutaria

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  1. M. D. Makwana
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  2. B. M. Sutaria
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Correspondence to M. D. Makwana.

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Makwana, M.D., Sutaria, B.M. Experimental Study of Slurry Erosion of Ni-Hard Cast Iron and Prediction of Wear of Materials with the Use of Artificial Neural Network (ANN). Met Sci Heat Treat 65, 356–362 (2023). https://doi.org/10.1007/s11041-023-00938-7

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