Part I. Deterministic correction algorithm
Polimery 2008, No 9, 670
An algorithmic method of supervision of injection molding process of thermoplastics was elaborated (Fig. 1 and 2). It consists in sequential multistage compensation of forecasted molding quality deviations, caused by disturbances of slow-speed variable parameters supervising the process, by immediate change of quick controllable variables during the same injection molding cycle (Fig. 3 and 4). Both the prediction and process correction is performed in the real-time mode (during the same cycle) so the probability of defective products' manufacturing is limited. One of alternative correction algorithms was tested: deterministic one based on empirical regression models of supervised characteristics of molding quality (here: its length-wise dimension).This algorithm was applied to the supervision of injection molding of PE-LD normalized molding. Empirical revision showed the high efficiency of algorithm designed as the distribution of molding shrinkage was reduced twice (Fig. 5).
Key words: injection molding of thermoplastics, deterministic correction algorithms, length deviation
Automated method of seqential correction of the course of the cycle of thermoplastic injection molding. Part I. Deterministic correction algorithm