Scholarlink

<p>Profile stretch-bending forming is a complex process influenced by multiple factors, including processing technology, geometric parameters, and material properties. These factors make it challenging to predict and optimize the forming process, especially controlling springback, which significantly affects the final quality. This study investigates the impact of the stretch-bending process on the quality of rocket frame rings by combining both simulation and production data. A Co-Kriging model is developed to approximate the frame ring forming process, and a multi-objective optimization model is applied to minimize springback, deformation, and residual stress in the rings. The optimization is performed using the non-dominated sorting genetic algorithm with a projected target area (NSGA-II/A) to identify the optimal process parameters. The results show that the optimized parameters significantly improve the forming quality and help achieve higher precision in the production of rocket frame rings. This work provides valuable insights for enhancing the stretch-bending forming process and guiding the production of high-quality components.</p>

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

Spring-Back Prediction and Process Optimization of Rocket Frame Ring

  • 期刊论文

  • 发表日期：

    2025年5月2日

查看全文
  • Zaifang Zhang,
  • Jiayi Chen,
  • Egon Ostrosi,
  • Hui Cheng,
  • Liang Zhou,
  • Wei Meng,
  • Zhichao Zhang

摘要

Profile stretch-bending forming is a complex process influenced by multiple factors, including processing technology, geometric parameters, and material properties. These factors make it challenging to predict and optimize the forming process, especially controlling springback, which significantly affects the final quality. This study investigates the impact of the stretch-bending process on the quality of rocket frame rings by combining both simulation and production data. A Co-Kriging model is developed to approximate the frame ring forming process, and a multi-objective optimization model is applied to minimize springback, deformation, and residual stress in the rings. The optimization is performed using the non-dominated sorting genetic algorithm with a projected target area (NSGA-II/A) to identify the optimal process parameters. The results show that the optimized parameters significantly improve the forming quality and help achieve higher precision in the production of rocket frame rings. This work provides valuable insights for enhancing the stretch-bending forming process and guiding the production of high-quality components.