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A Build-Time Estimator for Additive Manufactured Objects

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Design Tools and Methods in Industrial Engineering (ADM 2019)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Additive Manufacturing is a very time consuming technology. An estimation of the build time is fundamental to:

  • Evaluate the production cost in budgeting process.

  • Make use of optimization methods, which use as parameter the build time, for determining optimal build direction.

In both these cases a fast and valid build time estimator, which can work with a few input data deducible from geometric model, is required.

In the proposed paper a reliable parametric-based method to determine the build time for additive manufactured objects is provided. The implemented method is based on a back-propagation artificial neural network, which gives the possibility to implement the complex functions that elapse some driving build-time factors and the build time. The neural network training is based on data provided by a properly developed analyzer of the list of commands given to AM machines, which performs an analytical estimation of the build time. The implementation of the proposed methodology is illustrated and some comparisons between the real and estimated build-time are provided, then the results are critically analyzed.

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Author information

Authors and Affiliations

  1. Department of Industrial and Information Engineering and Economics, University of L’Aquila, L’Aquila, Italy

    Luca Di Angelo, Paolo Di Stefano & Emanuele Guardiani

Authors
  1. Luca Di Angelo
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  2. Paolo Di Stefano
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  3. Emanuele Guardiani
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Corresponding authors

Correspondence to Luca Di Angelo , Paolo Di Stefano or Emanuele Guardiani .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria Gestionale, dell‘Informazione e della Produzione, Università di Bergamo, Dalmine, Italy

    Caterina Rizzi

  2. Dipartimento Di Ingegneria “Enzo Ferrari”, Università Di Modena E Reggio Emilia, Modena, Italy

    Angelo Oreste Andrisano

  3. Dipartimento Di Ingegneria “Enzo Ferrari”, Università Di Modena E Reggio Emilia, Modena, Italy

    Francesco Leali

  4. Dipartimento Di Ingegneria “Enzo Ferrari”, Università Di Modena E Reggio Emilia, Modena, Italy

    Francesco Gherardini

  5. Dipartimento Di Ingegneria “Enzo Ferrari”, Università Di Modena E Reggio Emilia, Modena, Italy

    Fabio Pini

  6. Dipartimento Di Ingegneria “Enzo Ferrari”, Università Di Modena E Reggio Emilia, Modena, Italy

    Alberto Vergnano

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Di Angelo, L., Di Stefano, P., Guardiani, E. (2020). A Build-Time Estimator for Additive Manufactured Objects. In: Rizzi, C., Andrisano, A.O., Leali, F., Gherardini, F., Pini, F., Vergnano, A. (eds) Design Tools and Methods in Industrial Engineering. ADM 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-31154-4_79

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  • DOI: https://doi.org/10.1007/978-3-030-31154-4_79

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31153-7

  • Online ISBN: 978-3-030-31154-4

  • eBook Packages: EngineeringEngineering (R0)

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