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The International Journal of Advanced Manufacturing Technology
Erschienen in: The International Journal of Advanced Manufacturing Technology 5-8/2019

23.04.2019 | ORIGINAL ARTICLE

Faults and failures prediction in injection molding process

verfasst von: Sara Nasiri, Mohammad Reza Khosravani

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 5-8/2019

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Abstract

In production of the polymeric parts, injection molding is an important processing technique which provides easy automation and economic manufacturing. Since several parameters indicate crucial influences on this method, artificial intelligence (AI) approaches have been utilized to optimize the injection molding process. In this study, an intelligent system is implemented to detect different faults in injection molding. To this aim, we used the fuzzy case-based reasoning (fuzzy CBR) approach as a complementary reasoning method in AI. CBR solves new problems via referring to the nearest solutions of the most similar cases. Problems in which attribute values have fuzzy characteristics are fuzzified and similarity measurements developed with respect to these features. Using fuzzy logic in the retrieval phase of our CBR system leads to easier transfer of knowledge across domains. In the current research, the triangular fuzzy numbers are utilized to represent the imprecise numerical quantities in the relationship values of each feature and related parameters based on domain experts’ knowledge. An implemented system is evaluated by detection of various faults in a production line. The obtained results proved capability and accuracy of the proposed system in detection of faults. The system is much faster than traditional method and indicates a stable product quality. The proposed system can also be adapted for other complex products in the injection molding process.
Vorheriger Artikel Modeling and experimental study of unequal interval intermittent (UII) diamond micro grinding tool
Nächster Artikel Stability analysis of the Cold Metal Transfer (CMT) brazing process for galvanized steel plates with ZnAl4 filler metal

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Metadaten
Titel
Faults and failures prediction in injection molding process
verfasst von
Sara Nasiri
Mohammad Reza Khosravani
Publikationsdatum
23.04.2019
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 5-8/2019
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-019-03699-x

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