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In this research paper, we have explored the algorithms/techniques that help in the detection of types of defects (Flash, Warping, Bubbles, Unfilled sections, Sink marks and Ejector marks) that may occur during the manufacturing process of plastic gears. Due to the inherent properties (moisture, absorption, temperature, pressure etc.) of the material (acetal resins such as DELRIN, Duracon M90; nylon resins such as ZYTEL, NYLATRON, MC901 and acetal copolymers such as CELCON.) used in manufacturing of plastic gears, and based on the analysis of previous methods we have drawn some conclusive facts, from which we have proposed image processing andcomputer vision technique which can be implemented for better results in terms of accuracy of such detects.
Saini et al. (Sat,) studied this question.