چکیده مقاله
Gas metal arc welding is a high quality arc welding process used in industry In this process an electric arc is established between a continuous filler metal and the weld pool being protecting by a shielding gas Selecting appropriate values for input variables in this welding process is essential in order to control the quality of weldments In this paper, the deposition rate in gas metal arc welding of ST 37 steel has been optimized by genetic algorithm In this connection, a five level five factor rotatable central composite design was used to collect the welding data with 2, 1, 0, 1, 2 levels and the deposition rate was modeled as a function of wire feed rate, welding voltage, nozzle to plate distance, welding speed and gas flow rate by regression analysis Then the deposition rate as the fitness function was minimized by genetic algorithm The result shows that in order to obtain the lower deposition rate, wire feed rate ,welding voltage, welding speed ,nozzle to plate distance and gas flow rate must be at 2, 0 824, 2, 0 85 and 2 levels, respectively
کلیدواژهها
نویسندگان
M. Aghakhani
Mechanical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran
M. Mahdipour Jalilian
Mechanical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran
A. Karami
Mechanical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran
M.M. Jalilian
Chemical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran
شیوه ارجاع
Aghakhani, M. and Mahdipour Jalilian, M. and Karami, A. and Jalilian, M.M.,1390,Optimization of Deposition Rate in Gas Metal Arc Welding Process using Genetic Algorithm,12th Iranian Conference on Manufacturing Engineering (ICME 2010),Tehran
ارائهشده در
مجموعه مقالات دوازدهمین کنفرانس ملی مهندسی ساخت و تولید ایران6 دی 1390 · تهران