IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i13p3022-d1188899.html
   My bibliography  Save this article

Mathematical Modelling of Fused Deposition Modeling (FDM) 3D Printing of Poly Vinyl Alcohol Parts through Statistical Design of Experiments Approach

Author

Listed:
  • Mahmoud Moradi

    (Faculty of Arts, Science and Technology, University of Northampton, Northampton NN1 5PH, UK)

  • Mojtaba Karamimoghadam

    (Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Via Orabona 4, 70125 Bari, Italy)

  • Saleh Meiabadi

    (Department of Mechanical Engineering, École de Technologie Supérieure, 1100 Notre-Dame West, Montreal, QC H3C 1K3, Canada)

  • Giuseppe Casalino

    (Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Via Orabona 4, 70125 Bari, Italy)

  • Mohammad Ghaleeh

    (Faculty of Arts, Science and Technology, University of Northampton, Northampton NN1 5PH, UK)

  • Bobymon Baby

    (Faculty of Arts, Science and Technology, University of Northampton, Northampton NN1 5PH, UK)

  • Harikrishna Ganapathi

    (Faculty of Arts, Science and Technology, University of Northampton, Northampton NN1 5PH, UK)

  • Jomal Jose

    (Faculty of Arts, Science and Technology, University of Northampton, Northampton NN1 5PH, UK)

  • Muhammed Shahzad Abdulla

    (Faculty of Arts, Science and Technology, University of Northampton, Northampton NN1 5PH, UK)

  • Paul Tallon

    (Faculty of Arts, Science and Technology, University of Northampton, Northampton NN1 5PH, UK)

  • Mahmoud Shamsborhan

    (Department of Mechanical Engineering, University of Zakho, Dahouk 42001, Iraq)

  • Mohammad Rezayat

    (Center for Structural Integrity, Micromechanics, and Reliability of Materials (CIEFMA)-Department of Materials Science and Engineering, Universitat Politècnica de Catalunya-BarcelonaTECH, 08019 Barcelona, Spain)

  • Satyam Paul

    (Gas Turbine and Transmissions Research Centre, University of Nottingham, Northampton NN1 5PH, UK)

  • Davood Khodadad

    (Department of Applied Physics and Electronics, Umeå Universitet, 90187 Umeå, Sweden)

Abstract

This paper explores the 3D printing of poly vinyl alcohol (PVA) using the fused deposition modeling (FDM) process by conducting statistical modeling and optimization. This study focuses on varying the infill percentage (10–50%) and patterns (Cubic, Gyroid, tri-hexagon and triangle, Grid) as input parameters for the response surface methodology (DOE) while measuring modulus, elongation at break, and weight as experimental responses. To determine the optimal parameters, a regression equation analysis was conducted to identify the most significant parameters. The results indicate that both input parameters significantly impact the output responses. The Design Expert software was utilized to create surface and residual plots, and the interaction between the two input parameters shows that increasing the infill percentage (IP) leads to printing heavier samples, while the patterns do not affect the weight of the parts due to close printing structures. On the contrary, the discrepancy between the predicted and actual responses for the optimal samples is below 15%. This level of error is deemed acceptable for the DOE experiments.

Suggested Citation

  • Mahmoud Moradi & Mojtaba Karamimoghadam & Saleh Meiabadi & Giuseppe Casalino & Mohammad Ghaleeh & Bobymon Baby & Harikrishna Ganapathi & Jomal Jose & Muhammed Shahzad Abdulla & Paul Tallon & Mahmoud S, 2023. "Mathematical Modelling of Fused Deposition Modeling (FDM) 3D Printing of Poly Vinyl Alcohol Parts through Statistical Design of Experiments Approach," Mathematics, MDPI, vol. 11(13), pages 1-14, July.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:13:p:3022-:d:1188899
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/13/3022/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/13/3022/
    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:11:y:2023:i:13:p:3022-:d:1188899. 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.