چکیده:
The shape memory alloy has found too much significance among engineers and researchers due to their mechanical features behaviors and these alloys features are changed by temperature and tension. Also in correspondence to great mechanical strain made due to none linear and geometric features emerged in structure, encounter the equations solution with difficulty. In this research the numerical number has been presented based on the DQM basis to axisymmetric buckling of cylindrical shells made of shape memory alloys. First the solution incorporation presented then the numerical results are compared with exact solutions
خلاصه ماشینی:
As the load put in the austenite phase, the material will start cooling, then the formed phase will be twinned and great buckling about 5 to 8% will occur in the material which will recycled by heating completely (View the image of this page) Semi elastic feature Figure2; the effect of intelligent alloys shape memory is the high temperature of AF, it will completely return to the primary shape from the made deformation.
UCT Journal of Research in Science ,Engineering and Technology Figure 5; the strain- tension graph The equations in intelligent alloys The dominant law in intelligent alloys could be presented based on the deferential formation and by the basic alteration principals as below DS = D (E ,x,T )dE + W(E ,x,T )dxs +q (E ,x,T )dt As the S is the tension second level (PIOLA DM is the YANG module for intelligent alloys in martensite phase formation (Detwinned) and Da in YANG module is for representation of complete austenite shape.
The YANG module presented as the linear function from the s - s 0 = D (x )e - D (x0 )e0 + W (x )xs - W (x0 )xs 0 martensite decimal function 5- +q (T- T0 ) As (T0,S0,e0,x0,xs 0) , is representation of the substance primary shape 4 (View the image of this page)1 -xs 0 p 2 UCT Journal of Research in Science ,Engineering and Technology The CM ,CA parameters explain the relation between the temperature and critical tension for composite materials phase transference based on the BRAINSON model.