چکیده مقاله
The aluminium Al alloy 6061 T6 was friction stir processed at submerged condition and differents tool rotation speeds ω and processing speed V the effect of processing parameters on hardness of stir zone was investigated, in order to derve out the relationship between the hardness of stir zone and processing parmeters and optimizing them, some test was done and a matrix of variation parmeters of process was filled and used for training of an arificail neural network ANN model A sensitvity analysis was carried out using the ANN model, it is shown that, among two process parmeters, the processing speed V is more important on stir harness in addition a safe zone can be defined by ANN model in which superior hardness can be achieved
کلیدواژهها
نویسندگان
A shahnam
Graduate student of department of materials science and engineering, isfaha university of technology
A Ebnanasir
PHD student of departmment of materials science and engineering, university of colorado
F karimzadeh
Associated professor of department of materials science and engineering, isfahan universeity of technology
شیوه ارجاع
shahnam, A and Ebnanasir, A and karimzadeh, F,1389,A novel artificaila neural network model for evaluating hardness of stir stir zone of submerge friction stir processed Al-6061-T6 plate,Eleventh National Conference on Welding and Inspection,Tehran
ارائهشده در
مجموعه مقالات یازدهمین کنفرانس ملی جوش و بازرسی4 آبان 1389 · تهران