Abstract
Melt temperature is a key variable in injection molding that has to be continuously controlled during the molding process. Its control is generally simplified due to the dynamic characteristics of the melting process and the barrel zones interactions. Therefore, a thorough understanding of these process dynamics is required to achieve accurate control of melt temperature. Multi-input-multi-output (MIMO) deterministic models were derived and employed for predictive control of melt temperature. Simulations and experiments showed that MIMO model could be used as a good physical representation of the overall system.
Original language | English |
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Pages | 3560-3563 |
Number of pages | 4 |
Publication status | Published - 2003 |
Externally published | Yes |
Event | 61st Annual Technical Conference ANTEC 2003 - Nashville, TN, United States Duration: 4 May 2003 → 8 May 2003 |
Conference
Conference | 61st Annual Technical Conference ANTEC 2003 |
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Country/Territory | United States |
City | Nashville, TN |
Period | 4/05/03 → 8/05/03 |
Keywords
- MIMO model
- Predictive control
- Process identification