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Intelligent sensor-model automated control of PMR-15 autoclave processingAn intelligent sensor model system has been built and used for automated control of the PMR-15 cure process in the autoclave. The system uses frequency-dependent FM sensing (FDEMS), the Loos processing model, and the Air Force QPAL intelligent software shell. The Loos model is used to predict and optimize the cure process including the time-temperature dependence of the extent of reaction, flow, and part consolidation. The FDEMS sensing system in turn monitors, in situ, the removal of solvent, changes in the viscosity, reaction advancement and cure completion in the mold continuously throughout the processing cycle. The sensor information is compared with the optimum processing conditions from the model. The QPAL composite cure control system allows comparison of the sensor monitoring with the model predictions to be broken down into a series of discrete steps and provides a language for making decisions on what to do next regarding time-temperature and pressure.
Document ID
19930031743
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Hart, S.
(NASA Langley Research Center Hampton, VA, United States)
Kranbuehl, D.
(College of William and Mary Williamsburg, VA, United States)
Loos, A.
(Virginia Polytechnic Inst. and State Univ. Blacksburg, United States)
Hinds, B.
(NASA Langley Research Center Hampton, VA, United States)
Koury, J.
(USAF, Phillips Lab. Edwards AFB, CA, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: International SAMPE Symposium and Exhibition, 37th, Anaheim, CA, Mar. 9-12, 1992, Proceedings (A93-15726 04-23)
Publisher: Society for the Advancement of Material and Process Engineering
Subject Category
Mechanical Engineering
Accession Number
93A15740
Distribution Limits
Public
Copyright
Other

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