Abstract
The objective of this study is to test and validate a Process Analytical Technology (PAT) system design on a potassium dichromate crystallization process in the presence of input uncertainties using uncertainty and sensitivity analysis. To this end a systematic framework for managing uncertainties in PAT system design is used. For uncertainty analysis the Monte Carlo technique is used, while for the sensitivity analysis both Standardized Regression Coefficients (SRC) and Morris methods are employed. The analysis performed under open-loop condition shows that the input uncertainties in the nucleation and crystal growth parameters affect the product-process performances (e.g. crystal size distribution (CSD)). Analysis of the proposed PAT system design (closedloop), on the other hand, shows that the effect of the input uncertainties on the outputs (product quality) is minimized, and the target specifications are achieved, thus ensuring that the PAT system design is reliable under the considered uncertainty ranges.
Original language | English |
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Title of host publication | Proceedings of the 6th International Conference on Process Systems Engineering (PSE ASIA) |
Publication date | 2013 |
Pages | 207-212 |
Publication status | Published - 2013 |
Event | 6th International Conference on Process Systems Engineering - Kuala Lumpur, Malaysia Duration: 25 Jun 2013 → 27 Jun 2013 |
Conference
Conference | 6th International Conference on Process Systems Engineering |
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Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 25/06/2013 → 27/06/2013 |
Keywords
- Crystallization
- PAT system
- Uncertainty and sensitivity analysis