چکیده مقاله
During tube hydroforming THF process, failure modes such as buckling, necking and bursting may occur because axial feeding and internal pressure are imposed simultaneously As load path has great influence on THF, prediction of properties of final product is difficult and a time consuming work In this study, Neural Network algorithm and ANSYS LS DYNA and ANSYS Program Language Design APDL , was used to predict final product properties of T shapebranch workpiece FE model and Neural Network were verified using experimental result for a determined load path Finally direct search method has been used to obtain optimum load path for higher formability
کلیدواژهها
نویسندگان
A Jaamialahmadi
Lecturer Department of Mechanical Engineering Ferdowsi University of Mashhad,
M Kadkhodayan
Associated Professor Department of Mechanical Engineering Ferdowsi University of Mashhad,
E Masumi
BSc Department of Mechanical Engineering Ferdowsi University of Mashhad,
شیوه ارجاع
Jaamialahmadi, A and Kadkhodayan, M and Masumi, E,1386,Application of Neural Network and FEM to Optimize Load Path of T-shape Tube Hydro Forming,02nd Tehran International Congress on Manufacturing Engineering (TICME2007),Tehran
ارائهشده در
مجموعه مقالات دومین کنفرانس بین المللی و هشتمین کنفرانس ملی مهندسی ساخت و تولید10 اسفند 1386 · تهران