Optimization of a polyvinyl butyral synthesis process based on response surface methodology and artificial neural network
Wenwen Luan, Li Sun, Zuoxiang Zeng, Weilan Xue
Abstract
= 3-3.5 μm) were obtained under the optimal conditions obtained by RSM and ANN models. ANN is a better and more precise optimization tool than RSM. Also, DES played a dual role in catalysis and dispersion in the synthesis of PVB and showed good reusability, so it has great application potential in PVB industrial production.
Topics & Concepts
Response surface methodologyPolyvinyl butyralArtificial neural networkDeep eutectic solventEutectic systemMaterials scienceProcess (computing)Chemical engineeringComputer scienceBiological systemProcess engineeringArtificial intelligenceEngineeringMachine learningComposite materialBiologyAlloyOperating systemPolymer Science and PVCEnvironmental Impact and SustainabilityAdvanced Polymer Synthesis and Characterization