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On the Hot Workability of Ti-6Al-4V Based on Thermal Processing Maps and Artificial Neural Network Modeling

dc.contributor.authorUz, Murat Mert
dc.contributor.authorYapici, Guney Guven
dc.contributor.authorYoruc, Afife Binnaz Hazar
dc.contributor.authorAydogan, Cahit Sertac
dc.date.accessioned2026-06-27T15:10:47Z
dc.date.issued2025
dc.description.abstractFor 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.en
dc.description.sponsorshipScientific and Technological Research Council of Turkey [2244, 118C071]
dc.description.sponsorshipScientific Research Program of Turkish Aerospace Industries [202100483]
dc.description.sponsorshipOzyegin University Research Fund
dc.description.urihttps://doi.org/10.1007/s11665-024-09834-4
dc.identifier.doi10.1007/s11665-024-09834-4
dc.identifier.eissn1544-1024
dc.identifier.endpage10557
dc.identifier.issn1059-9495
dc.identifier.issue11
dc.identifier.startpage10548
dc.identifier.urihttps://hdl.handle.net/20.500.14981/68645
dc.identifier.volume34
dc.identifier.wos001272296900002
dc.language.isoeng
dc.publisherSPRINGER
dc.relation.ispartofJOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
dc.subjectartificial neural network
dc.subjecthot workability
dc.subjectmaterial characterization
dc.subjectTi-6Al-4V titanium alloy
dc.subject3D thermal processing maps
dc.subjectHIGH-TEMPERATURE DEFORMATION
dc.subjectAUSTENITIC STAINLESS-STEEL
dc.subjectTITANIUM-ALLOY
dc.subjectCONSTITUTIVE MODELS
dc.subjectALUMINUM-ALLOY
dc.subjectARRHENIUS-TYPE
dc.subjectPURE TITANIUM
dc.subjectFLOW-STRESS
dc.subjectBEHAVIOR
dc.subjectSHEET
dc.subjectMaterials Science
dc.titleOn the Hot Workability of Ti-6Al-4V Based on Thermal Processing Maps and Artificial Neural Network Modeling
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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