Scholarlink

<p>As important medical implantation devices, cardiovascular stents play an important role in the treatment of cardiovascular diseases. However, in laser cutting manufacturing, a processing area may produce manufacturing defects, which can cause adverse reactions in the human body. A regression model of key process parameters (laser power, pulse frequency, cutting speed, and pulse width) and the comprehensive machining influence zone was successfully constructed utilizing the response surface method. By analyzing the interactive thermal mechanisms, the optimal process parameters were determined as: laser power of 80.0&#xa0;W, pulse frequency of 5000&#xa0;Hz, cutting speed of 6.8&#xa0;mm/s, and pulse width of 5.0&#xa0;µm. Results demonstrate that under these optimized conditions, the machining influence zone was minimized to an average of 35.60&#xa0;µm. The error between the actual and predicted values is only 8.82%, demonstrating the robust prediction accuracy of the model. Therefore, this study has a good practical value for improving the surface quality and performance of cardiovascular stents.</p> Graphical Abstract <p></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

Study on Laser Processing of Nitinol Stent Based on Response Surface Method

  • 期刊论文

  • 发表日期：

    2026年4月27日

查看全文
  • Yongqi Wang,
  • Kailong Yang,
  • Xiuting Wei,
  • Zhiyong Li,
  • Xuemin Jing,
  • Fazhan Yang,
  • Yang Li,
  • Xuefeng Zhang

摘要

As important medical implantation devices, cardiovascular stents play an important role in the treatment of cardiovascular diseases. However, in laser cutting manufacturing, a processing area may produce manufacturing defects, which can cause adverse reactions in the human body. A regression model of key process parameters (laser power, pulse frequency, cutting speed, and pulse width) and the comprehensive machining influence zone was successfully constructed utilizing the response surface method. By analyzing the interactive thermal mechanisms, the optimal process parameters were determined as: laser power of 80.0 W, pulse frequency of 5000 Hz, cutting speed of 6.8 mm/s, and pulse width of 5.0 µm. Results demonstrate that under these optimized conditions, the machining influence zone was minimized to an average of 35.60 µm. The error between the actual and predicted values is only 8.82%, demonstrating the robust prediction accuracy of the model. Therefore, this study has a good practical value for improving the surface quality and performance of cardiovascular stents.

Graphical Abstract