个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:清华大学
学位:博士
所在单位:化工学院
学科:化学工程
办公地点:西部校区化工实验楼D203
电子邮箱:keleiz@dlut.edu.cn
Computer aided chemical product design - ProCAPD and tailor-made blended products
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论文类型:期刊论文
发表时间:2018-08-04
发表刊物:COMPUTERS & CHEMICAL ENGINEERING
收录刊物:SCIE
卷号:116
期号:,SI
页面范围:37-55
ISSN号:0098-1354
关键字:ProCAPD; Tailor-made surrogate blends; Solvents; Lubricants; Fuels; CAMD, CAM(b)D
摘要:In chemical product design, application of computer aided methods helps to design as well as improve products to reach the market faster by reducing time-consuming experiments at the early stages of design. That is, experiments are performed during the later stages as a verification or product refinement step. Computer-aided molecular and mixture-blend design methods are finding increasing use because of their potential to quickly generate and evaluate thousands of candidate products; to estimate a large number of the needed physico-chemical properties; and to select a small number of feasible product candidates for further verification and refinement by experiments. In this paper, an extended computer-aided framework and its implementation in a product design software tool is presented, highlighting the new features together with an overview on the current state of the art in computer-aided chemical product design. Results from case studies involving tailor-made blend design are presented to highlight the latest developments. (C) 2018 Elsevier Ltd. All rights reserved.