In this section
@article{Kucherenko:2024:10.1016/j.compchemeng.2024.108727,
author = {Kucherenko, S and Sopittakamol, N and Shah, N},
doi = {10.1016/j.compchemeng.2024.108727},
journal = {Computers and Chemical Engineering},
title = {Design space identification of a coupled two-stage batch reactor system},
url = {http://dx.doi.org/10.1016/j.compchemeng.2024.108727},
volume = {187},
year = {2024}
}
TY - JOUR
AB - The design space (DS) is defined as the combination of materials and process conditions that guarantees the assurance of quality. This principle ensures that as long as a process operates within DS, it consistently produces a product that meets specifications. It was originally developed for a single unit system. Many industrial processes frequently involve multiple unit operations. Assessing the interaction of Critical Process Parameters (CPPs) with Critical Quality Attributes (CQAs) across stages enables informed decision-making and the capacity to balance different requirements. Analysis and visualization of the complex, multi-dimensional DS is a challenging task. This paper presents a framework for identification such DSs, considering both joint and decoupled strategies using a detailed analysis of a two-stage batch reactor case study. We assess and discuss the practicality and relevance of these methods.
AU - Kucherenko,S
AU - Sopittakamol,N
AU - Shah,N
DO - 10.1016/j.compchemeng.2024.108727
PY - 2024///
SN - 0098-1354
TI - Design space identification of a coupled two-stage batch reactor system
T2 - Computers and Chemical Engineering
UR - http://dx.doi.org/10.1016/j.compchemeng.2024.108727
VL - 187
ER -