PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets

被引：14

作者：

Casas-Orozco, Daniel ^{[1
]}

Laky, Daniel ^{[1
]}

Wang, Vivian ^{[2
]}

Abdi, Mesfin ^{[2
]}

Feng, X. ^{[2
]}

Wood, E. ^{[2
]}

Laird, Carl ^{[3
]}

Reklaitis, Gintaras, V ^{[1
]}

Nagy, Zoltan K. ^{[1
]}

机构：

[1] Purdue Univ, Davidson Sch Chem Engn, W Lafayette, IN 47906 USA

[2] US FDA, Off Pharmaceut Qual, Ctr Drug Evaluat & Res, Silver Spring, MD USA

[3] Sandia Natl Labs, Albuquerque, NM 87123 USA

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2021年 / 153卷

关键词：

Digital design; Flowsheet simulation; Pharmaceutical  process simulator; Hybrid  processes; Parameter estimation; Optimization; !text type='Python']Python[!/text; DYNAMIC SIMULATION; PARAMETER-ESTIMATION; PARTICLE-SIZE; DESIGN SPACE; MODEL; ALGORITHM; REPRESENTATION; UNCERTAINTY; FRAMEWORK; QUALITY;

D O I：

10.1016/j.compchemeng.2021.107408

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A B S T R A C T Process design and optimization continue to provide computational challenges as the chemical engineering and process optimization communities seek to address more complex and larger scale applications. Software tools for digital design and flowsheet simulation are readily available for traditional chemical processing applications such as in commodity chemicals and hydrocarbon processing; however, tools for pharmaceutical manufacturing are much less well developed. This paper introduces, PharmaPy, a Python based modelling platform for pharmaceutical manufacturing systems design and optimization. The versatility of the platform is demonstrated in simulation and optimization of both continuous and batch processes. The structure and features of a Python-based modeling platform, PharmaPy are presented. Illustrative examples are shown to highlight key features of the platform and framework. (c) 2021 Elsevier Ltd. All rights reserved.

引用

页数：17

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