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

Moradi, M., Karamimoghadam, M., Meiabadi, M. S., Casalino, G., Ghaleeh, M., Baby, B., Ganapathi, H., Jose, J., Abdulla, M. S., Tallon, P., Shamsborhan, M., Rezayat, M., Paul, S. and Khodadad, D. (2023) Mathematical Modelling of Fused Deposition Modeling (FDM) 3D Printing of Poly Vinyl Alcohol Parts through Statistical Design of Experiments Approach. Mathematics. 11(13) 2227-7390.

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20097:38602
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Moradi_etal_MDPI_2023_Mathematical_Modelling_of_Fused_Deposition_Modeling_(FDM)_3D_Printing_of_Poly_Vinyl_Alcohol_Parts_through_Statistical_Design_of_Experiments_Approach
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Abstract:
This paper explores the 3D printing of poly vinyl alcohol (PVA) using the fused deposition mod-eling (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.
Uncontrolled Keywords:
additive manufacturing, fused deposition modeling, 3D printing, infill percentage, optimization
Creators:
Moradi, M., Karamimoghadam, M., Meiabadi, M. S., Casalino, G., Ghaleeh, M., Baby, B., Ganapathi, H., Jose, J., Abdulla, M. S., Tallon, P., Shamsborhan, M., Rezayat, M., Paul, S. and Khodadad, D.
Date:
7 July 2023
Date Type:
Publication
Journal or Publication Title:
Mathematics
Volume:
11
Number:
13
Number of Pages:
3776003
Language:
English
ISSN:
2227-7390
Status:
Published / Disseminated
Refereed:
Yes
Related URLs:
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