A global optimization based approach for finding all homogeneous azeot
ropes in multicomponent mixtures is presented. The global optimization
approach is based on a branch and bound framework in which upper and
lower bounds on the solution are refined by successively partitioning
the target region into small disjoint rectangles. The objective of suc
h an approach is to locate all global minima since each global minimum
corresponds to an homogeneous azeotrope. The global optimization prob
lem is formulated from the thermodynamic criteria for azeotropy, which
involve highly nonlinear and nonconvex expressions. The success of th
is approach depends upon constructing valid convex lower bounds for ea
ch nonconvex function in the constraints. The convex lower bounding pr
ocedure is demonstrated with the Wilson activity coefficient equation.
The global optimization approach is illustrated in an example problem
.