Process plant knowledge based simulation and design
Само за регистроване кориснике
2008
Чланак у часопису (Објављена верзија)

Метаподаци
Приказ свих података о документуАпстракт
A many number of modelling and simulation systems have been developed to aid in process and product engineering. In this paper the knowledge based process plant simulation model was developed. On the model development side, the issues of knowledge representation in the form of systematic component composition, ontology, and interconnections were illustrated. As a case study a plant for starch sweet syrup production was used. The system approach permits the evaluation of feasibility and global plant integration, and a predicted behavior of the reaction systems. The obtained results of the this paper have shown the variety quality of syrups simulation for different products.
Кључне речи:
Data base integration / Knowledge based operation / Optimizer / Product designИзвор:
Computer Aided Chemical Engineering, 2008, 25, 289-294Издавач:
- Elsevier Science Bv, Amsterdam
Финансирање / пројекти:
- The authors wishes to express their gratitude to the Fund of Serbia for financial support.
DOI: 10.1016/S1570-7946(08)80053-3
ISSN: 1570-7946
PubMed:
WoS: 000287713600050
Scopus: 2-s2.0-52949137028
Институција/група
Tehnološko-metalurški fakultetTY - JOUR AU - Savković-Stevanović, Jelenka B. AU - Krstić, Snežana B. AU - Milivojević, Milan AU - Perunicić, Mihailo B. PY - 2008 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/1212 AB - A many number of modelling and simulation systems have been developed to aid in process and product engineering. In this paper the knowledge based process plant simulation model was developed. On the model development side, the issues of knowledge representation in the form of systematic component composition, ontology, and interconnections were illustrated. As a case study a plant for starch sweet syrup production was used. The system approach permits the evaluation of feasibility and global plant integration, and a predicted behavior of the reaction systems. The obtained results of the this paper have shown the variety quality of syrups simulation for different products. PB - Elsevier Science Bv, Amsterdam T2 - Computer Aided Chemical Engineering T1 - Process plant knowledge based simulation and design EP - 294 SP - 289 VL - 25 DO - 10.1016/S1570-7946(08)80053-3 ER -
@article{ author = "Savković-Stevanović, Jelenka B. and Krstić, Snežana B. and Milivojević, Milan and Perunicić, Mihailo B.", year = "2008", abstract = "A many number of modelling and simulation systems have been developed to aid in process and product engineering. In this paper the knowledge based process plant simulation model was developed. On the model development side, the issues of knowledge representation in the form of systematic component composition, ontology, and interconnections were illustrated. As a case study a plant for starch sweet syrup production was used. The system approach permits the evaluation of feasibility and global plant integration, and a predicted behavior of the reaction systems. The obtained results of the this paper have shown the variety quality of syrups simulation for different products.", publisher = "Elsevier Science Bv, Amsterdam", journal = "Computer Aided Chemical Engineering", title = "Process plant knowledge based simulation and design", pages = "294-289", volume = "25", doi = "10.1016/S1570-7946(08)80053-3" }
Savković-Stevanović, J. B., Krstić, S. B., Milivojević, M.,& Perunicić, M. B.. (2008). Process plant knowledge based simulation and design. in Computer Aided Chemical Engineering Elsevier Science Bv, Amsterdam., 25, 289-294. https://doi.org/10.1016/S1570-7946(08)80053-3
Savković-Stevanović JB, Krstić SB, Milivojević M, Perunicić MB. Process plant knowledge based simulation and design. in Computer Aided Chemical Engineering. 2008;25:289-294. doi:10.1016/S1570-7946(08)80053-3 .
Savković-Stevanović, Jelenka B., Krstić, Snežana B., Milivojević, Milan, Perunicić, Mihailo B., "Process plant knowledge based simulation and design" in Computer Aided Chemical Engineering, 25 (2008):289-294, https://doi.org/10.1016/S1570-7946(08)80053-3 . .