IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i10p1758-d426944.html
   My bibliography  Save this article

Surface Roughness Investigation of Poly-Jet 3D Printing

Author

Listed:
  • Nectarios Vidakis

    (Mechanical Engineering Department, Hellenic Mediterranean University, 71410 Heraklion Crete, Greece)

  • Markos Petousis

    (Mechanical Engineering Department, Hellenic Mediterranean University, 71410 Heraklion Crete, Greece)

  • Nikolaos Vaxevanidis

    (Department of Mechanical Engineering Educators, School of Pedagogical and Technological Education, 14121 Athens, Greece)

  • John Kechagias

    (General Department, University of Thessaly, 41500 Larissa, Greece)

Abstract

An experimental investigation of the surface quality of the Poly-Jet 3D printing (PJ-3DP) process is presented. PJ-3DP is an additive manufacturing process, which uses jetted photopolymer droplets, which are immediately cured with ultraviolet lamps, to build physical models, layer-by-layer. This method is fast and accurate due to the mechanism it uses for the deposition of layers as well as the 16 microns of layer thickness used. Τo characterize the surface quality of PJ-3DP printed parts, an experiment was designed and the results were analyzed to identify the impact of the deposition angle and blade mechanism motion onto the surface roughness. First, linear regression models were extracted for the prediction of surface quality parameters, such as the average surface roughness ( Ra ) and the total height of the profile ( Rt ) in the X and Y directions. Then, a Feed Forward Back Propagation Neural Network (FFBP-NN) was proposed for increasing the prediction performance of the surface roughness parameters Ra and Rt. These two models were compared with the reported ones in the literature; it was revealed that both performed better, leading to more accurate surface roughness predictions, whilst the NN model resulted in the best predictions, in particular for the Ra parameter.

Suggested Citation

  • Nectarios Vidakis & Markos Petousis & Nikolaos Vaxevanidis & John Kechagias, 2020. "Surface Roughness Investigation of Poly-Jet 3D Printing," Mathematics, MDPI, vol. 8(10), pages 1-14, October.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1758-:d:426944
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/10/1758/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/8/10/1758/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1758-:d:426944. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.