This study investigates the deformation behavior of Shape Memory Alloy (SMA) integrated glass fiber-reinforced composites with soft and stiff sections, focusing on the influence of fiber orientation. The composites were fabricated using Tailored Fiber Placement (TFP), allowing precise positioning of 1200 tex yarns to create angled fiber architectures. The stiffened sections were formed by varying the fiber density, enabling controlled bending-twisting deformation under SMA activation. To assess the deformation response, Microsoft Azure Kinect cameras were employed to capture RGBD images, which were processed to generate point cloud data for detailed 3D spatial analysis. The experimental approach provided key insights into the interaction between fiber orientation, SMA activation, and localized deformation effects. Additionally, the study highlights how TFP enables programmable deformation control, offering a pathway for advanced adaptive composite structures. These findings contribute to the optimization of SMA-integrated composites for applications in soft robotics, morphing structures, and adaptive material systems.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Development and Evaluation of Anisotropic Glass Fiber Rubber Composites with Stiffened Section and Integrated SMA

  • Achyuth Ram Annadata,
  • Thomas Gereke,
  • Chokri Cherif

摘要

This study investigates the deformation behavior of Shape Memory Alloy (SMA) integrated glass fiber-reinforced composites with soft and stiff sections, focusing on the influence of fiber orientation. The composites were fabricated using Tailored Fiber Placement (TFP), allowing precise positioning of 1200 tex yarns to create angled fiber architectures. The stiffened sections were formed by varying the fiber density, enabling controlled bending-twisting deformation under SMA activation. To assess the deformation response, Microsoft Azure Kinect cameras were employed to capture RGBD images, which were processed to generate point cloud data for detailed 3D spatial analysis. The experimental approach provided key insights into the interaction between fiber orientation, SMA activation, and localized deformation effects. Additionally, the study highlights how TFP enables programmable deformation control, offering a pathway for advanced adaptive composite structures. These findings contribute to the optimization of SMA-integrated composites for applications in soft robotics, morphing structures, and adaptive material systems.