Printing Parameter Optimization of Flexible Strain Sensor for Maximum Strain Level Analysis
DOI:
https://doi.org/10.24002/ijieem.v8i1.11523Keywords:
analytical hierarchy process (AHP), poka-yoke, quality of educationAbstract
This study explores the optimization of printing parameters for Flexible Strain Sensors (FSS) produced using fused
deposition modeling. The experimental design utilizes a Taguchi L18 orthogonal array to assess the impact of five
parameters—substrate material, sensor thickness, printing temperature, printing speed, and layer height—on the
maximum tensile strain (elongation at break) of the printed sensors. The findings indicate that thermoplastic
polyurethane (TPU) significantly enhances strain capability compared to polylactic acid (PLA). The optimal parameter
combination consists of a sensor thickness of 0.3 mm, a printing temperature of 210 °C, and a printing speed of 40 mm/s,
with variations in layer height having a minimal influence. Validation testing confirmed the optimization results,
achieving a maximum tensile strain of 26.3% with strong agreement between predicted and experimental responses.
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