Prediction of Growth Percentage of Sintered Compacts Using Neural Network Technique

Author:

Khuntia Sujit Kumar,Mohanty Soumya Darshan,Pani Bibhuti Bhusan,Das Sankar Narayan

Publisher

Springer Nature Singapore

Reference8 articles.

1. Smith LN, German RM, Cherian R, Midha PS, Pelletiers T (1999) A neural network for selection of powders and process setting for Cu powder metallurgy materials. In: Proceedings of the international conference of the powder metallurgy and particulate materials. Vancouver, Canada, pp 1–12

2. Cherian RP, Smith LN, Midha PS (2000) A neural network approach for selection of powder metallurgy materials and process parameters. Artif Intell Eng 14:39–44

3. Ohdhar RK, Pasha S (2003) Prediction of process parameters of metal powder perform forging using artificial neural network (ANN). J Mater Process Technol 132:227–234

4. Amirjan M, Khorsand H, Siddati MH, Farsani RE (2013) Artificial neural network prediction of Cu-Al2O3 composite properties prepared by powder metallurgy method. J Mater Res Technol 2(4):351–355

5. Drndarevic D, Milivojevic M (2019) Neural networks in powder metallurgy. In: 11th international scientic conference on science and higher education in function of sustainable development. Mecavnik-Drvengard, Uzice, Serbia, pp 32–37

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