Data-driven Process Systems Engineering Lab
Data-driven Process Systems Engineering Lab
Publications
AIChE Journal 2014
In this work, an algorithm for the optimization of costly constrained systems is introduced. The proposed method combines advantages of global- and local-search algorithms with new concepts of feasibility space mapping, within a framework that aims to find global solutions…
Journal of Pharmaceutical Information 2013
Simulation-based optimization is a research area that is currently attracting a lot of attention in many industrial applications, where expensive simulators are used to approximate, design, and optimize real systems. Pharmaceuticals are typical examples of high-cost products which involve expensive…
Chemical Engineering Science 2013
Reduced-order modeling (ROM) techniques are playing a very significant role in the recent literature bridging the gap between computationally expensive simulators and their application in optimization and control of distributed parameter systems. In modeling of solid-based processes, Discrete Element Method…
Journal of Pharmaceutical Innovation 2013
Purpose There has been increasing interest in the last few years especially within the pharmaceutical industry towards continuous powder blending. In this paper, the effects of different design and operating parameters are investigated, which include blade speed, shaft angle, weir…
Journal of Pharmaceutical Innovation 2013
In this work, a dynamic flowsheet model for the production of pharmaceutical tablets through a continuous wet granulation process is developed. The unit operation models which are integrated to compose the process line form a hybrid configuration which is comprised…