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Automated Process Control Autoclave Engineers Erie, PA USA
Improving Polymerization Catalyst Research 3rd Eurokin Workshop - San Donato, Milanese September 2000
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Presentation Overview
Available hardware for Gas-Solid catalyst research Available hardware for Gas-Liquid-Solid catalyst research Range of Automatic Controls and Instrumentation available as accessories Case Study 1: Automated polymerization synthesis compared to a manual system. Case Study 2: Automated, closed system polymer synthesis compared to a manual system.
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Gas-Solid Reaction Equipment BTRS Jr. ®/ BTRS 900
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Gas-Solid Reaction Equipment Berty Reactor / Caldwell
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Gas-Liquid-Solid Reaction Equipment
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Gas-Liquid-Solid Reaction Equipment
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Range of Control Systems
Manual Open-loop with display Closed-loop with display Closed-loop with analog retransmission Closed-loop with computer control Remote Manipulation of variables, real-time trending, data logging, etc.. Closed-loop with Custom computer control system Full computer control, batch automation, data logging, alarm interlocks, etc.. Each level of sophistication reduces variations. Case studies demonstrate improvement between Levels 3 and 6.
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Case Study 1 Albemarle Corp. - Baton Rouge, LA
Application: Sample Preparation for QC of Catalyst Objective: Comparisons between lots of catalyst. Problem: Poor Reproducibility Strategy: Process Automation
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Mechanical System Case Study 1
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Control System Case Study 1
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Case Study 1: Results Catalyst yield variation drops from +/- 20% to +/- 7% Rapidly Implemented Productivity Improved
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Case Study 2 WR Grace Columbia, S.C. U.S.A.
Application: Polymerization Research-Multi-station Synthesis Objectives: 1. Improve reproducibility for statistical analysis. 2. Eliminate environmental contamination. Problem: System error size of experimental effect Strategy: Process Automation, Closed System
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Mechanical System Case Study 2
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Control System Case Study 2
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Case Study 2: Results Undisclosed Improvement in reproducibility.
Benefit such that a two additional, four reactor systems, were purchased.
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Conclusions Consider Process Automation to improve the ratio of experimental effect (signal) to system error (noise).
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Acknowledgements Albemarle Corporation Cryovac Division of Sealed Air
Glen McClelland Jamie Strickler Cryovac Division of Sealed Air Paul Hughes Nate Miranda Autoclave Engineers Steven Simon and Tim Porco
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