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Batch Process Monitoring through the Integration of Spectral and Process Data

Authors:Morris Julian, Univ. Newcastle, United Kingdom
Martin Elaine, Univ. Newcastle, United Kingdom
Stewart David, Univ. Newcastle, United Kingdom
Topic:6.1 Chemical Process Control
Session:Knowledge Driven Batch Processes
Keywords: Multivariate Statistical Process Control; Spectroscopic Data; Multi-recipe, Batch Reactors

Abstract

Most applications of MSPC have tended to focus upon the manufacture of a single product with separate models being developed to monitor individual recipes. With process manufacturing trends being influenced by customer demands there has been an increase in the manufacture of a wide variety of products, there is a real need for process models which allow a range of products, grades or recipes to be monitored using a single process model. With increasing attention now being paid to the FDA Process Analytical Technologies (PAT) initiative, the use of spectro-chemical information for enhanced monitoring of reactions and is now gaining impetus. An application of the performance monitoring of a multi-recipe multi-reactor industrial batch polymer manufacturing is discussed in which NIR spectroscopic data is also integrated with process data to provide enhanced batch monitoring.