Applying artificial neural network for binary vapor liquid equilibrium prediction

• Main Authors: Nguyen, Viet Dinh, Tan, Raymond Girard R., Brondial, Yolanda P., Fuchino, Tetsuo
• Format: text
• Published: Animo Repository 2006
• Subjects: Vapor-liquid equilibrium; Artificial neural networks; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/6331
• Institution: De La Salle University

Most solvents used in the semiconductor industry are toxic and costly. Thus, the component of these solvents should be recovered for re-use in these processes by distillation methods. Vapor liquid equilibrium (VLE) data are basic information for design and operation of distillation columns. VLE data...