Prediction of vapor-liquid equilibrium data for ternary systems using artificial neural networks
Most solvents used in the semiconductor industry are toxic and costly. Thus, the solvents should be recovered for re-use in these processes by distillation methods, and vapor-liquid equilibrium data are necessary for the design and operation of distillation columns. These data can be estimated using...
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Main Authors: | , , , |
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Format: | text |
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Animo Repository
2007
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Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1926 |
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Institution: | De La Salle University |
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