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IMC Strategy Using Neural Networks for 3D Printer Bed Temperature Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39916812" target="_blank" >RIV/00216275:25530/20:39916812 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-63322-6_84" target="_blank" >http://dx.doi.org/10.1007/978-3-030-63322-6_84</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-63322-6_84" target="_blank" >10.1007/978-3-030-63322-6_84</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    IMC Strategy Using Neural Networks for 3D Printer Bed Temperature Control

  • Original language description

    In this contribution, the temperature control of the 3D printer heatbed is observed. As the heat exchange power is strictly limited and the thermal process time constants are naturally around tens and hundreds of seconds, these processes are basically slow. The measuring of new data is time consuming, which can cause the profit loss in case of experiments in the production. Moreover, the finding of better control method can lead to significant monetary savings. One of the scopes of this article is to find out if it’s possible to built-up the neural network-based controller system together with the internal model control strategy providing better performance with data obtained in the production, where simply tuned PSD controller was used. The suitable order of the heating system is observed together with the size of the sampling period and neural network topology. The controllability with best performing neural networks is verified on the 3D printer heating bed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Software engineering perspectives in intelligent systems : proceedings of 4th computational methods in systems and software 2020, Vol.1

  • ISBN

    978-3-030-63321-9

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    979-989

  • Publisher name

    Springer Nature Switzerland AG

  • Place of publication

    Cham

  • Event location

    Vsetín

  • Event date

    Oct 14, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article