چکیده مقاله
In this study, the effect of controlled rolling significant parameters on ferrite grain size and martensite volume fraction of dual phase DP steels with niobium was investigated Also microstructure has been correlated with the Ultimate tensile strength UTS and is brought out in the form of 3D diagrams A neural network model based on the microstructure was used to predict UTS Investigation and neural network results show that, increasing in martensite volume fraction Vm and grain refinement of ferrite d lead to increasing the UTS
کلیدواژهها
نویسندگان
R. Mohamadi
Department of Mechanical Engineering, Amirkabir University of Technology, No ۲۴,Hafez Ave, Tehran, Iran
A. Fallahi
Department of Mechanical Engineering, Amirkabir University of Technology, No ۲۴,Hafez Ave, Tehran, Iran
شیوه ارجاع
Mohamadi, R. and Fallahi, A.,1390,Microstructure-UTS correlation of Nb-DP steels using neural network,12th Iranian Conference on Manufacturing Engineering (ICME 2010),Tehran
ارائهشده در
مجموعه مقالات دوازدهمین کنفرانس ملی مهندسی ساخت و تولید ایران6 دی 1390 · تهران