Scholarlink

Carbon fiber-reinforced thermoplastics (CFRTPs) are a revolutionary material class offering a winning combination of lightweight strength and design flexibility, making them a game-changer for various industries. A machine-learning model is developed to predict the values of Young’s modulus for a given Polymer—to—Carbon-fiber composition ratio, and the results are compared with the experimented values. The composite is first manufactured for a given composition, and then subjected to structural and deformation analysis to generate results. The model is applied to estimate the Young’s modulus of various short inorganic fiber reinforced polymer composites. The comparative results are at par with the experimental values, and thus provide fruitful knowledge to act as a base for manufacturing the composites without resource-wastage.

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

Studying Deformation Behavior of Carbon Fiber-Reinforced Thermoplastics Using Machine-Learning Models

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • A. A. Stepashkin,
  • Suresh Chavhan,
  • S. V. Gromov,
  • Ashish Khanna,
  • V. V. Tcherdyntsev,
  • Deepak Gupta,
  • H. Mohammad,
  • E. V. Medvedeva,
  • Namita Gupta,
  • S. S. Alexandrova,
  • Akshay Mool

摘要

Carbon fiber-reinforced thermoplastics (CFRTPs) are a revolutionary material class offering a winning combination of lightweight strength and design flexibility, making them a game-changer for various industries. A machine-learning model is developed to predict the values of Young’s modulus for a given Polymer—to—Carbon-fiber composition ratio, and the results are compared with the experimented values. The composite is first manufactured for a given composition, and then subjected to structural and deformation analysis to generate results. The model is applied to estimate the Young’s modulus of various short inorganic fiber reinforced polymer composites. The comparative results are at par with the experimental values, and thus provide fruitful knowledge to act as a base for manufacturing the composites without resource-wastage.