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Optimization of low gravity materials processing experiments using expert systemsThe use of an expert system for the control of materials processing experiments in a facility such as the Space Station provides a number of attractive features for insuring that certain critical process parameters can be used to optimize the productivity of the materials processing experiments. The proposed approach to implementation of an expert system utilizes a knowledge base of desired process characteristics which will provide the desired results. The knowledge base for each experiment will be created in conjunction with the scientific investigator in charge of the experiment. Improvements to the knowledge base will be expanded to include self learning sessions in ground based experiments in order to teach the expert system how to respond to perturbations in the process and update the knowledge base on what process change should be implemented in order to reach the desired end product. Design considerations using an on-line real time expert system such as PICON is studied. The types of experiments evaluated include several types of solidification experiments which will be performed on the Space Station.
Document ID
19880019977
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Workman, Gary L.
(Alabama Univ. Huntsville, AL, United States)
Choudry, Amar
(Alabama Univ. Huntsville, AL, United States)
Date Acquired
September 5, 2013
Publication Date
August 1, 1988
Publication Information
Publication: NASA, Marshall Space Flight Center, Second Conference on Artificial Intelligence for Space Applications
Subject Category
Materials Processing
Accession Number
88N29361
Distribution Limits
Public
Copyright
Public Use Permitted.
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