Intelligent Decision System Based on Fuzzy Logic Expert System to Improve Plastic Injection Molding Process

Intelligent Systems are the best way to manage complex industrial processes with a high number of process parameters, like injection molding process. Specifically, Fuzzy Logic is a solution to estimate if the qualitative inspection of parts produced allows us to determine correct process parameter value setting to produce good quality parts. This paper shows an intelligent decision system based on Fuzzy Logic techniques designed using defect behavior tendency curves as membership functions. These functions are improving with dynamics and adaptive regression membership functions based on the assessment of quality for a given part done by an operator. The implementation of this intelligent decision system designed for injection molding process shows that is able to transform a qualitative variable deduced of qualitative injection inspection of part defects, into a quantitative inspection, identifying the correct process parameters. Experimental results show that the effectiveness is improved and also reduces the time of a process in a 40%.