TY - GEN
T1 - Growth kinetics of borided layers
T2 - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007
AU - Morales, Oswaldo M.
AU - Campos, S. Iván E.
AU - Del Carmen Islas, B. María
AU - Mota, H. Cinthya I.
AU - Hernández, S. Luis M.
N1 - Funding Information:
This work has been supported by the research grant 20070130 of Instituto Politécnico Nacional at Mexico. The authors wish to thank Mr. Carlos Flores and Luis Hernández Simón for their valuable cooperation.
PY - 2007
Y1 - 2007
N2 - The present study evaluates the growth kinetics of the boride layer Fe 2B in AISI 1045 steel, by means of neural networks and the least square techniques. The Fe 2B phase was formed at the material surface using the paste boriding process. The surface boron potential was modified considering different boron paste thicknesses, with exposure times of 2, 4, and 6 h, and treatment temperatures of 1193, 1223 and 1273 K. The neural network and the least square models were set by the layer thickness of Fe 2B phase, and assuming that the growth of the boride layer follows a parabolic law. The reliability of the techniques used is compared with a set of experiments at a temperature of 1223 K with 5 h of treatment time and boron potentials of 2, 3, 4 and 5 mm. The results of the Fe 2B layer thicknesses show a mean error of 5.31% for the neural network and 3.42% for the least square method.
AB - The present study evaluates the growth kinetics of the boride layer Fe 2B in AISI 1045 steel, by means of neural networks and the least square techniques. The Fe 2B phase was formed at the material surface using the paste boriding process. The surface boron potential was modified considering different boron paste thicknesses, with exposure times of 2, 4, and 6 h, and treatment temperatures of 1193, 1223 and 1273 K. The neural network and the least square models were set by the layer thickness of Fe 2B phase, and assuming that the growth of the boride layer follows a parabolic law. The reliability of the techniques used is compared with a set of experiments at a temperature of 1223 K with 5 h of treatment time and boron potentials of 2, 3, 4 and 5 mm. The results of the Fe 2B layer thicknesses show a mean error of 5.31% for the neural network and 3.42% for the least square method.
KW - Boride layers
KW - Boriding process
KW - Boron paste
KW - Growth kinetics
KW - Least square method
KW - Neural networks
UR - http://www.scopus.com/inward/record.url?scp=84865784809&partnerID=8YFLogxK
M3 - Contribución a la conferencia
AN - SCOPUS:84865784809
SN - 9781605600437
T3 - International Society for the Systems Sciences - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007
SP - 633
EP - 642
BT - International Society for the Systems Sciences - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007
Y2 - 5 August 2007 through 10 August 2007
ER -