Advanced Polymer Composite Molding Through Intelligent Process Analysis and Control
Abstract
In this project. process analysis of Resin Transfer Molding (RTM) was carried out and adaptive process control models were developed. In addition, a non-invasive sensor was manufactured to monitor the filling pattern and provide feedback during adaptive control. Adaptive process control strategies based on several control models including linear model and recursive least square model were developed. Some of these models were implemented within a LabVIEW user interface. Simulation methodologies were also developed for comprehensive analysis of the RTM process. A transparent and flexible sensor array was fabricated to non-invasively monitor the fill front location. To analyze the sensor signal, LabVIEW programs were written in modules that can be embedded into the data acquisition system. Another sensor array with multiple sensing elements was also designed to simultaneously monitor both the fill front location and the degree of cure. The multiplexing electronics needed for this multi-element sensor array was fabricated. The first generation of this senor system was-used to monitor the fill front location in molds of varying thickness and material. This report presents the aforementioned work in three separate sections: (1) process analysis and adaptive control modeling, (2) manufacturing of non-invasive sensor, end (3) list of publications resulting from this project.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 30, 2004
- Accession Number
- ADA428562
Entities
People
- Alex Mamishev
- Bob Minaie
Organizations
- University of South Alabama