Process plant knowledge based simulation and design
Samo za registrovane korisnike
2008
Članak u časopisu (Objavljena verzija)

Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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.
Ključne reči:
Data base integration / Knowledge based operation / Optimizer / Product designIzvor:
Computer Aided Chemical Engineering, 2008, 25, 289-294Izdavač:
- Elsevier Science Bv, Amsterdam
Finansiranje / projekti:
- 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
Institucija/grupa
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 . .