Modeling constitutive relationship of Ti40 alloy using artificial neural network
- 31 March 2011
- journal article
- research article
- Published by Elsevier BV in Materials & Design (1980-2015)
- Vol. 32 (3), 1537-1541
- https://doi.org/10.1016/j.matdes.2010.10.004
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Development of constitutive relationship model of Ti600 alloy using artificial neural networkComputational Materials Science, 2010
- Fracture criterion for predicting surface cracking of Ti40 alloy in hot forming processesTransactions of Nonferrous Metals Society of China, 2009
- Research on thermal stability of Ti40 alloy at 550°CMaterials Science and Engineering: A, 2008
- Flow softening behavior during high temperature deformation of AZ31Mg alloyJournal of the American Academy of Dermatology, 2007
- Modelling the correlation between processing parameters and properties of maraging steels using artificial neural networkComputational Materials Science, 2003
- The second phases in Ti40 burn resistant alloy after high temperature exposure for a long timeJournal of Alloys and Compounds, 2002
- Modelling the correlation between processing parameters and properties in titanium alloys using artificial neural networkComputational Materials Science, 2001
- The role of interface in the burning of titanium alloysMaterials Science and Engineering: A, 1999
- Titanium alloys and their machinability—a reviewJournal of the American Academy of Dermatology, 1997
- The state of the USA titanium industry in 1995Materials Science and Engineering: A, 1996