Mechanical Behavior and Optimization of Graphene-Reinforced TPU/PDMS Composites for Biomedical Applications
Keywords:
ANOVA, Biologic materials, Optimal design, Tests, TPU/PDMS compositesAbstract
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.
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