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Fatigue Modeling and Mechanical Performance of Additively Manufactured and Commercial Polylactic Acid to Support Sustainable Development Goals (SDGs) Completed with Bibliometric Analysis Al-hadrayi, Ziadoon M. R.; Challabi, Samar M.; Flayyih, Mujtaba A.; Njim, Emad Kadum
ASEAN Journal for Science and Engineering in Materials Vol 6, No 1 (2027): (ONLINE FIRST) AJSEM: Volume 6, Issue 1, March 2027
Publisher : Bumi Publikasi Nusantara

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Abstract

This study evaluates the fatigue behavior and mechanical performance of polylactic acid (PLA) produced by fused deposition modeling (FDM) and compares it with commercially manufactured PLA to support Sustainable Development Goals (SDGs) related to sustainable manufacturing. Tensile, impact, and fatigue tests were conducted to evaluate the strength, toughness, and fatigue life under cyclic loading. A fatigue crack growth model based on linear elastic fracture mechanics and Paris’ law was developed and solved numerically using MATLAB. In addition, a bibliometric analysis was conducted to identify recent research trends connecting additive manufacturing, fatigue performance, and sustainability. The results show that process-induced anisotropy and defects significantly reduce the fatigue resistance of FDM-printed PLA, while optimized infill density and raster orientation improve performance. The findings provide practical guidance for the reliable and sustainable application of additively manufactured polymer components.
Mechanical Behavior and Optimization of Graphene-Reinforced TPU/PDMS Composites for Biomedical Applications Gheni, Emad Zuhair; Abdulmajeed, Adwaa Mohammed; Flayyih, Mujtaba A.; Njim, Emad Kadum
ASEAN Journal for Science and Engineering in Materials Vol 6, No 1 (2027): (ONLINE FIRST) AJSEM: Volume 6, Issue 1, March 2027
Publisher : Bumi Publikasi Nusantara

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Abstract

This study investigates the mechanical behavior and optimization of graphene-reinforced thermoplastic polyurethane (TPU) and polydimethylsiloxane (PDMS) composites for biomedical applications. A combined analytical, statistical, and computational approach was employed, including MATLAB modeling, regression analysis, and ANOVA. The results demonstrate that increasing PDMS content reduces elastic modulus, yield strength, and fatigue performance, while enhancing flexibility and impact resistance. The incorporation of nanographene significantly improves mechanical properties, with tensile strength exceeding 40 MPa and enhanced stiffness due to effective load transfer. Statistical analysis confirms that PDMS volume fraction is the dominant factor influencing performance. Optimal properties are achieved at 20–30% PDMS with graphene reinforcement, providing a balanced combination of strength, flexibility, and durability for biomedical applications.