Eventos Anais de eventos
COBEF 2021
11th Brazilian Congress on Manufacturing Engineering
FORECASTING CAVITY PRESSURE AND TEMPERATURE IN AN INJECTION MOLDING PROCESS TOWARDS GREY MODELING
Submission Author:
Rodolfo Pabst , SC , Brazil
Co-Authors:
Rodolfo Pabst, Adriano Adriano Fagali de Souza, Alexandro Brito
Presenter: Rodolfo Pabst
doi://10.26678/ABCM.COBEF2021.COB21-0298
Abstract
Today, the injection molding is one of the most important processes to manufacture plastic parts. Because it has a nonlinear and time varying behavior, existing process control approaches are based in model-based predictive procedures. Usually, these procedures require a previous knowledge about the process dynamics, what complicates its modeling. In the present work, a simple approach based on grey models is treated. It does not require previous information about the process. A regularized least squares method was used to adjust the model, resulting in a fast identification procedure, robust to ill-conditioning in the estimates. The model was validated using experimental data obtained during injection molding processes where the seasonal differenced cavity temperature varied along 2.56 ºC and the cavity pressure varied along 13.85 MPa. The pressure and temperature signals inside the cavity could be forecasted with mean absolute deviations of 0.1708 ºC and 0.6607 MPa.
Keywords
Injection molding, Grey modeling, Forecasting, Regularization theory, Process variables
DOWNLOAD PDF VIEW PRESENTATION
