Optimization of a polyvinyl butyral synthesis process based on response surface methodology and artificial neural network.

ABSTRACT: High quality polyvinyl butyral (PVB) can be used as the intermediate film of automobile and building glass and the packaging film of photovoltaic cells. Therefore, it is necessary to optimize its synthesis process to obtain suitable products with a high acetalization degree (AD) and small particle size (d _p). In this work, a deep eutectic solvent (DES) was selected as the catalyst, and response surface methodology (RSM) and artificial neural network (ANN) were utilized to optimize the synthesis process of PVB. The concentration of polyvinyl alcohol (A), the dosage of DES (B) and n-butanal (C), and the aging temperature (D) were selected as process variables, and the comprehensive score (AD, d _p and material and energy c

SUBMITTER: Luan W 

PROVIDER: S-EPMC9993126 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature