.png){kind=icon}
Return
Improving traceability in continuous processes using flow simulations
.png){kind=icon}
OA
AI
DOI：10.1080/09537287.2011.561813.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Traceability is normally difficult to achieve in continuous processes, since there are no natural batch structures. In this article, we demonstrate flow-based simulation using process data to improve traceability in a continuous pelletising process. Using the simulation model, the engineers could test the impacts of process disturbances, identify cause and effect relations and aid control in case of process disturbances. In a field trial where the chemistry of an additive was varied during production of a special product, the simulation forecasts predicted the level of the chemical content after the plant within the errors that the engineers found acceptable.
Keywords:
continuous process
traceability
flow simulation
pelletising
modelling
residence time
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
P
IF:
5.4
Papers:
2.6K
Citations:
8.1K
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSaveCan simulation technology enable a paradigm shift in process control? Modeling for the rest of us
PREAI
ShareSaveShareSaveShareSaveMethods for traceability in continuous processes -: Experience from an iron ore refinement process
PREAI
ShareSaveShareSave
View more