Monitoring the process of curing of epoxy/graphite fiber composites with a recurrent neural network as a soft sensor
- 1 April 1998
- journal article
- Published by Elsevier BV in Engineering Applications of Artificial Intelligence
- Vol. 11 (2), 293-306
- https://doi.org/10.1016/s0952-1976(97)00055-9
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Implementation of Model-Based Optimal Temperature Profiles for Autoclave Curing of Composites Using a Knowledge-Based SystemIndustrial & Engineering Chemistry Research, 1994
- Predictive control of quality in a batch manufacturing process using artificial neural network modelsIndustrial & Engineering Chemistry Research, 1993
- On-Line Cure Monitoring of Epoxy/Graphite Composites Using a Scaling Analysis and a Dual Heat Flux SensorJournal of Composite Materials, 1992
- Two-Dimensional Cure Simulation of Thick Thermosetting CompositesJournal of Composite Materials, 1991
- Modeling chemical process systems via neural computationIEEE Control Systems Magazine, 1990
- Artificial neural network models of knowledge representation in chemical engineeringComputers & Chemical Engineering, 1988
- The application of differential scanning calorimetry (DSC) to the study of epoxy resin curing reactionsPublished by Springer Science and Business Media LLC ,1985
- Curing of Epoxy Matrix CompositesJournal of Composite Materials, 1983
- Heat of Reaction, Degree of Cure, and Viscosity of Hercules 3501-6 ResinJournal of Composite Materials, 1982
- Multiple minima in a fluidized reactor—heater systemAIChE Journal, 1976