Failure Analysis of Austenitic Stainless Steel Implant Screws and Prospection of Chemical Composition Using Artificial Intelligence

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ISSN Print: 2331-4222
ISSN Online: 2331-4249
www.scirp.org/journal/wjet
E-mail: wjet@scirp.org

"Failure Analysis of Austenitic Stainless Steel Implant Screws and Prospection of Chemical Composition Using Artificial Intelligence"
written by Alfonso Monzamodeth Román-Sedano, Bernardo Campillo, Fermín Castillo, Osvaldo Flores,
published by World Journal of Engineering and Technology, Vol.10 No.1, 2022

has been cited by the following article(s):

[1]	Artificial neural networks for predicting potentiodynamic tests of brass 70-30
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[1]	Experimental investigations on influence of processing parameters on the microstructure and properties of AM-printed stainless steel Canadian Metallurgical Quarterly, 2024 DOI:10.1080/00084433.2024.2393025

[2]	Artificial neural networks for predicting potentiodynamic tests of brass 70-30 Materials Today: Proceedings, 2023 DOI:10.1016/j.matpr.2023.01.287

[3]	Artificial neural networks for predicting potentiodynamic tests of brass 70-30 Materials Today: Proceedings, 2023 DOI:10.1016/j.matpr.2023.01.287

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