superplastic materials show huge amount of deformation in low strain rates and temperature above half of melting point. in superplastic forming, estimating the pressure–time diagram and thickness distribution has significant importance. utilizing numerical methods, the involved parameters in superplastic forming can be optimized for such estimations. in the present paper, the simulation of supe...

Abstract

The potential influence diagram is a generalization of the standard "conditional" influence diagram, a directed network representation for probabilistic inference and decision analysis [Ndilikilikesha, 1991). It allows efficient inference calculations corresponding exactly to those on undirected graphs. In this paper, we explore the relationship between potential and conditional influence diagr...