Author
Aydogan, C. S., Yoruc, A. B. H., Yapici, Guney Guven, Uz, M. M.
Publication Date
2024-07
Publication Place
-
Springer
Subject
3D thermal processing maps, Ti-6Al-4V titanium alloy, Material characterization, Hot workability, Artificial neural network
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1059-9495
Record ID
51154951-9ae5-4fdd-b0d4-74e1914db15c
Library Location
Mechanical Engineering
Date
2024-07
Notes
Özyeğin Üniversitesi ; TÜBİTAK ; Scientific Research Program of Turkish Aerospace Industries
Sample Text
For probing the hot workability of Ti-6Al-4V alloy, uniaxial tensile tests were carried out in the temperature range of 500-800 degrees C and at quasi-static strain rates. The effects of deformation temperature and strain rate on the flow behavior of Ti-6Al-4V were investigated. The flow behavior was modeled with the artificial neural network approach with the resulting correlation coefficient and average absolute relative error of 0.9997 and 2.90621%, respectively. The statistical evaluation results showed that the applied model could predict with very high reliability for the range of deformation parameters. The 3D thermal processing maps indicate that there are unsafe conditions at low temperature and high strain rates. In addition, in cases where the temperature is high and the strain rate is low, flow stability is observed and high-power distribution efficiency is determined. The validation of thermal processing maps was carried out by microstructural examinations and fractographic analysis. Overall, it is asserted that the temperature range of 700-800 degrees C and the strain rates of 0.01 and 0.001 s-1 are the optimized process parameters for hot forming of Ti-6Al-4V.
DOI
10.1007/s11665-024-09834-4
