Optimizacija procesnih parametrov pri vodenju injekcijskega brizganja z uporabo inteligentnih metod : doktorska disertacija

slovenian

doktorska dela

2014

Univerza v Mariboru, Fakulteta za elektrotehniko računalništvo in informatiko

This doctoral dissertation presents a method for optimizing process parameters in the injection molding process of thermoplastic materials, which is implemented in the developed intelligent system %C-3. The proposed method is based on a combined approach containing three methods of artificial intelligence where all the rules and facts, conquered during massive experimental tests on two injection molding machines, are implemented within the knowledge base as well as in the database, and are also transferable. Proper evaluation of the robustness of this production process is shown using the case of a non-linear mathematical model, where a robust control synthesis of injection screw speed for a designed robust controller according to the Glover-McFarlane method, was taken into account regarding the impact of interferences and additive model variations within the Matlab/Simulink environment. During the following, we carried out extensive experimental studies on three selected thermoplastic materials, where we analyzed the effect of process parameters on transverse and longitudinal shrinkages as well on the warping angles of test specimens, together with the measurements of acoustic emission signals. We proved that this non-destructive method would provide practical usages during the production processes in cases of searching for cracks on engraving tools' inserts and humidity detection in thermoplastic materials. We used Gabor wavelet transformation for a more detailed analysis of the captured AE signals within the time-frequency space. In addition the filling studies of the test specimens were carried out using the Moldflow software package, and were the bases for the subsequent morphological investigations using a scanning electron microscope on the surfaces of the test specimens within the areas of poor orientation regarding the glass fibers.

07.08.2023