Please use this identifier to cite or link to this item:
http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3193Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | García Mateo, Carlos | - |
| dc.creator | Sourmail, T. | - |
| dc.creator | García Caballero, Francisca | - |
| dc.creator | Capdevila, Carlos | - |
| dc.creator | García de Andrés, Carlos | - |
| dc.date | 2008-03-10T14:58:35Z | - |
| dc.date | 2008-03-10T14:58:35Z | - |
| dc.date | 2005 | - |
| dc.date.accessioned | 2017-01-31T01:00:38Z | - |
| dc.date.available | 2017-01-31T01:00:38Z | - |
| dc.identifier | Materials Science and Technology 2005 VOL 21 NO 8, 934-940 | - |
| dc.identifier | http://www.ingentaconnect.com/content/maney/mst | - |
| dc.identifier | http://hdl.handle.net/10261/3193 | - |
| dc.identifier | 10.1179/174328405X51622 | - |
| dc.identifier.uri | http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3193 | - |
| dc.description | The bainite start temperature Bs is defined as the highest temperature at which ferrite can transform by a displacive transformation. A common observation is that the bainite start temperature is very sensitive to the chemical composition, indicating that the influence of solutes is more than just thermodynamic. Empirical linear regression models have long been used to calculate the Bs in a limited range of compositions. This paper attempts to create an empirical model of wider applicability and higher accuracy by means of neural networks. The results are compared with those calculated using the thermodynamic theory for bainite transformation, revealing that in general this theory agrees with the experimental results, but some discrepancies can still be found when the alloys are heavily alloyed | - |
| dc.description | The authors acknowledge the financial support from the Spanish Ministerio de Ciencia y Tecnologı´a (project- MAT 2001-1617). F. G. Caballero would like to thank the Spanish Ministerio de Ciencia y Tecnologı´a for the financial support in the form of a Ramo´ n y Cajal contract (Programa RyC 2002). | - |
| dc.description | Peer reviewed | - |
| dc.format | 175015 bytes | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Institute of Materials, Minerals and Mining | - |
| dc.rights | openAccess | - |
| dc.subject | Thermodynamics theory | - |
| dc.subject | Bainite start temperature | - |
| dc.subject | Neural network | - |
| dc.subject | Bayesian framework | - |
| dc.title | New approach for the bainite start temperature calculation in steels | - |
| dc.type | Artículo | - |
| Appears in Collections: | Digital Csic | |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.