چکیده مقاله
Submerged arc welding is a production process directly affected by various input parameters andinteractions, and these effects will directly affect the output results This research investigated theimpact of arc voltage, electric current intensity, electrode stick out, welding speed, and the thickness ofthe layer of nanoparticles on the penetration depth In this study, Central Composite Rotatable Designand analysis of variance were used to examine the effect of input variables on output results and reducetime and costs Ultimately, the Genetic Algorithm was used to find the optimal levels of selectedparents The results indicate that increasing the arc voltage and the electric current intensity due to moreinput heat transfer caused more melting of the base metal and thus increased the penetration depth Thedifference in thermal conductivity between the base metal and the nanoparticles results in less heattransfer to the inner layers of the workpiece; therefore, the high thickness of the layer of nanoparticlesreduces the penetration depth On the other hand, increasing the thickness of the layer of nanoparticlesincreased the weld’s height and width
کلیدواژهها
نویسندگان
Farhad Rahmati
Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran;
Mobina Dehghan Khadar
Department of Industrial Engineering, Ferdowsi University of Mashhad, Mashhad, Iran;
Masood Aghakhani
Department of Mechanical Engineering, Razi University, Kermanshah, Iran;
Farhad Kolahan
Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran;
شیوه ارجاع
Rahmati, Farhad and Dehghan Khadar, Mobina and Aghakhani, Masood and Kolahan, Farhad,1402,Modeling and Optimization of Penetration Depth Using Genetic Algorithm,Focusing on Submerged Arc Welding,The 9th International Conference on Industrial and Systems Engineering,Mashhad
ارائهشده در
مجموعه مقالات نهمین کنفرانس بین المللی مهندسی صنایع و سیستم ها21 شهریور 1402 · مشهد