Aplicação do Método Fuzzy no Controle da Geração de Acetaldeído na Resina PET no Processo de Injeção de Pré-Formas de Embalagens Plásticas

Abstract

In order to control the drying temperature of PET resin in the silo of a plastic injection molding machine during the plastic injection process in industries producing preforms for beverage bottles, it is necessary to carefully regulate the ideal temperature. This impacts the control of Acetaldehyde (AA) generation, a substance that alters the taste of carbonated and non-carbonated drinks. This work aims to develop a tool based on Fuzzy logic to support the control of PET resin drying temperature, allowing specialists to make ideal temperature regulation decisions. The Fuzzy inference model was implemented using Matlab’s Fuzzy toolbox, considering input variables, Fuzzification rules, and output variables based on collected data from the preform injection process. The inference model resulted in more precise management of variables influencing AA generation, estimating an annual cost reduction of R$ 907,200.00 in preform production.