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Artificial Intelligence Based Plastic Injection Process for Initial Parameters Setting and Process Monitoring-Review

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Smart Applications and Data Analysis (SADASC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1677))

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Abstract

The thermoplastic injection process is an industrial technique that allows getting a high precision plastics part with high production rate. This process is considered one of the most complexes in the plastic industry due to its complexity and variability. The main problems in this technique can occur during two phases: first, during the initial setting when we try to identify the initial parameters for a new plastic part; and second, during mass production when there is a deviation in the production process. The purpose of this article is divided on three parts: first, is to make a basic review and to present overview of the main issues faced in this process, second part, is to present the contribution of the artificial intelligence methods to resolve this issues and finally to present a general guidelines for future researchers to resolve or reduce the process issues.

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Acknowledgments

This research is supported by the Ministry of Higher Education, Scientific Research and Innovation, the Digital Development Agency and the National Center for Scientific and Technical Research of Morocco (Smart DLSP Project - AL KHAWARIZMI IA-PROGRAM).

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Authors and Affiliations

  1. FST of Tangier, Abdelmalik Essaidi University, Tetouan, Morocco

    Faouzi Tayalati, Monir Azmani & Abdelah Azmani

Authors
  1. Faouzi Tayalati
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  2. Monir Azmani
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  3. Abdelah Azmani
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Corresponding author

Correspondence to Faouzi Tayalati .

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Editors and Affiliations

  1. University of Hassan II Casablanca, Casablanca, Morocco

    Mohamed Hamlich

  2. ISAE-ENSMA, Poitiers, France

    Ladjel Bellatreche

  3. Arts et Metiers Institute of Technology, Paris, France

    Ali Siadat

  4. University of Cordoba, Cordoba, Spain

    Sebastian Ventura

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Tayalati, F., Azmani, M., Azmani, A. (2022). Artificial Intelligence Based Plastic Injection Process for Initial Parameters Setting and Process Monitoring-Review. In: Hamlich, M., Bellatreche, L., Siadat, A., Ventura, S. (eds) Smart Applications and Data Analysis. SADASC 2022. Communications in Computer and Information Science, vol 1677. Springer, Cham. https://doi.org/10.1007/978-3-031-20490-6_24

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  • DOI: https://doi.org/10.1007/978-3-031-20490-6_24

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  • Publisher Name: Springer, Cham

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