Intan Mardiono, Yu-Chieh Wang, Imang Eko Saputro, Li-Ren Huang, Wu-Yan Chang, Shao-Kang Lu, Hao-Han Chang, Teng-Shih Shih, Yiin-Kuen Fuh
This study contributes to analyzing the effect of treatment and configurations on the mechanical properties of high-strength carbon fiber composite. The research aims to identify optimal processing parameters to maximize key performance metrics, including six mechanical properties, such as tensile strength (MPa), tensile strain, bending load, flexural strain, displacement, and flexural strength/modulus of rupture (MOR), evaluated under various experimental conditions, including carbon fiber types, stacking methods, preheating times, forming pressures, molding times, and forming temperatures. The experiments were designed using a Taguchi L18 orthogonal array to minimize cost and ensure statistical efficiency. Analysis of variance (ANOVA) was employed to quantify the contribution of each parameter, revealing that stacking method had the most significant influence on mechanical performance. Furthermore, ANN modeling was applied for predictive analysis. The ANN models demonstrated high predictive accuracy, with correlation coefficients mean squared error (MSE) of approximately 4%, indicating strong model reliability. The optimal processing conditions were identified as carbon fiber type T, L3[0/0/0/90]s stacking configuration, 150 s of preheating, 50 kg/cm2 forming pressure, 30 min of forming time, and a forming temperature of 155 °C. Under these conditions, the predicted mechanical responses were 1745.68 MPa tensile strength, 0.099 tensile strain, 511.262 N bending load, 0.017 flexural strain, 3.827 mm displacement, and 1939 MPa MOR. The overall desirability value of 0.9016 confirms that the selected processing parameters are highly effective and closely aligned with the optimal mechanical performance targets. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.
Department of Mechanical Engineering, Zhongli District, National Central University, No. 300, Zhongda Road, Taoyuan City, 320317, Taiwan; Lioho Machine Works Ltd., No. 334, Sec. 2, Xingheng Road, Taoyuan City, 32056, Taiwan; Digirit Industry Co., Ltd., No.10, Ln. 150, Sec. 1, Zhangyuan Rd., Huatan Township, Changhua County, 50345, Taiwan; Industrial Engineering Study Program, Institut Teknologi Sumatera, Terusan Ryacudu Street, South Lampung, 35365, Indonesia