The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …

This paper presents surrogate models of dissolution behavior to identify the critical input
parameters in tablet manufacturing processes. Dissolution behavior is a critical quality …

In this work, we propose a superstructure optimization approach for the optimal design of an
ethylene and propylene coproduction plant. We formulate a superstructure that embeds …

Simulation-based optimization models are widely applied to find optimal operating
conditions of processes. Often, computational challenges arise from model complexity …

A new internal coupling process, especially installing the membrane module inside the
distillation column and between the stripping and rectifying sections, is introduced and …

CO 2 capture plants can help reduce the cost of deploying capture systems across the
globe. However, the CO 2 variability and model uncertainty represent operational …

Accurate simulations are of fundamental importance for process engineers, but most modern
simulation software is often inflexible, and cannot be easily integrated into new applications …

We propose a novel iterative procedure to generate hybrid models (HMs) within an
optimization framework to solve design problems. HMs are based on first principle and …

Modeling of hetero-agglomeration processes is invaluable for a variety of applications in
particle technology. Traditionally, population balance equations (PBE) are employed; …

The aromatics complex is essential in the production of p-xylene and contains several
distillation towers and reactors, making this process highly energy intensive. To save energy …