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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
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    Citations

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    Cited by:

    1. Giulio Mattera & Gianfranco Piscopo & Maria Longobardi & Massimiliano Giacalone & Luigi Nele, 2024. "Improving the Interpretability of Data-Driven Models for Additive Manufacturing Processes Using Clusterwise Regression," Mathematics, MDPI, vol. 12(16), pages 1-18, August.

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