Development of a fuzzy-neuro system for parameter resetting of injection molding

An intelligent system has been used for injection molding. Five molded part defects, two mold parameters and the parr weight are used as system inputs which are described by fuzzy terms. Twenty process parameter adjusters on an injection molding machine are used as the outputs. A neural network has been trained using the data obtained from test-runs of injection molding. T he intelligent system can predict the amount to be adjusted for each parame ter towards reducing or eliminating the observed defects. Using this system for the parameter resetting, production time and efforts can be saved dras tically. Feasibility studies showed that this intelligent system is capable of reducing the rest run time by at least 80 percent.