چکیده مقاله
In this investigation, the effect of microstructure on ultimate tensile strength UTS of dual phase DP steels with niobium was investigated Microstructure consists of: Martensite volume fraction Vm , ferrite grain size d and martensite hardness HV These parameters have been correlated with the UTS and are brought out in the form of 3D diagrams Also, a neural network model based on the Vm, d and HV was used to predict UTS The results of this investigation show that Vm is the most significant parameter in increasing or decreasing the UTS for this type of steels and there is a good agreement between experimental values and predicted values by artificial neural network ANN
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,Prediction of effect of microstructure on ultimate tensile strength of Ni-DP steels produced by controlled rolling process using neural network model,12th Iranian Conference on Manufacturing Engineering (ICME 2010),Tehran
ارائهشده در
مجموعه مقالات دوازدهمین کنفرانس ملی مهندسی ساخت و تولید ایران6 دی 1390 · تهران