Tailored Printing Parameters for Optimized Tensile Performance of <scp>PETG</scp> ‐ <scp>CF</scp> Lightweight Structures in Industrial Use

ABSTRACT This study focuses on optimizing the printing parameters of carbon fiber‐reinforced polyethylene terephthalate glycol (PETG‐CF) structures to improve their mechanical behavior under tensile loading. Three critical design parameters were strategically selected: infill pattern structure (gyroid, honeycomb, and grid), infill density (25%, 50%, and 75%), and layer height (0.1, 0.2, and 0.3 mm) to measure their influence on tensile performance. Test specimens were produced using fused deposition modeling (FDM). To identify the optimal parameter combination for maximizing mechanical properties, namely ultimate tensile strength (), failure strain (), tensile modulus (), and toughness modulus (), the robust Taguchi method was used within a design of experiments (DOE) framework. An L9 orthogonal array was used to systematically design the experimental trials. Subsequent analyses, including main effect plots, signal‐to‐noise (S/N) ratio evaluation, and analysis of variance (ANOVA), were conducted to quantify the contribution of each factor. The results demonstrate that infill density is the most influential parameter, accounting for 85.70%, 34.35%, 95.94%, and 82.67% of the variation in , , E , and , respectively. Finally, confirmation experiments were performed to validate the predicted optimal settings, yielding error percentages of 0.784%, 0.69%, 8.93%, and 3.79% for , , E , and , respectively, thereby confirming the model's reliability and the effectiveness of the optimization strategy.

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Publication Details

Journal
Polymer Composites
Published
2025-08-05
DOI
https://doi.org/10.1002/pc.70183
Citations
3
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
2.05

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article

Tailored Printing Parameters for Optimized Tensile Performance of PETG ‐ CF Lightweight Structures in Industrial Use

Mohamed Ibrahim Abd El Aal, Mahmoud M. Awd Allah, Marwa A. Abd El‐baky, Mahmoud F. Abd El‐Halim
3 citations
Polymer Composites
Additive Manufacturing and 3D Printing Technologies
2.05
article

Tailored Printing Parameters for Optimized Tensile Performance of PETG ‐ CF Lightweight Structures in Industrial Use

Mohamed Ibrahim Abd El Aal, Mahmoud M. Awd Allah, Marwa A. Abd El‐baky, Mahmoud F. Abd El‐Halim
article en
3 citations

Abstract

ABSTRACT This study focuses on optimizing the printing parameters of carbon fiber‐reinforced polyethylene terephthalate glycol (PETG‐CF) structures to improve their mechanical behavior under tensile loading. Three critical design parameters were strategically selected: infill pattern structure (gyroid, honeycomb, and grid), infill density (25%, 50%, and 75%), and layer height (0.1, 0.2, and 0.3 mm) to measure their influence on tensile performance. Test specimens were produced using fused deposition modeling (FDM). To identify the optimal parameter combination for maximizing mechanical properties, namely ultimate tensile strength (), failure strain (), tensile modulus (), and toughness modulus (), the robust Taguchi method was used within a design of experiments (DOE) framework. An L9 orthogonal array was used to systematically design the experimental trials. Subsequent analyses, including main effect plots, signal‐to‐noise (S/N) ratio evaluation, and analysis of variance (ANOVA), were conducted to quantify the contribution of each factor. The results demonstrate that infill density is the most influential parameter, accounting for 85.70%, 34.35%, 95.94%, and 82.67% of the variation in , , E , and , respectively. Finally, confirmation experiments were performed to validate the predicted optimal settings, yielding error percentages of 0.784%, 0.69%, 8.93%, and 3.79% for , , E , and , respectively, thereby confirming the model's reliability and the effectiveness of the optimization strategy.

Polymer CompositesVol. 47(1)
Prince Sattam Bin Abdulaziz University (SA), Southern Methodist University (US), Zagazig University (EG), King Khalid University (SA)
Deanship of Scientific Research, Prince Sattam bin Abdulaziz University
Openalex Percentile: Top 13%
Additive Manufacturing and 3D Printing Technologies
2.05
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