...
首页> 外文期刊>Polymer-Plastics Technology and Engineering >Fast Optimization of Injection Velocity Profile Based on Graph Theory
【24h】

Fast Optimization of Injection Velocity Profile Based on Graph Theory

机译:基于图论的注射速度曲线快速优化

获取原文
获取原文并翻译 | 示例
           

摘要

Injection velocity profile is an important process parameter that affects the quality of injection-molded parts. In this paper, a fast optimization method for injection velocity profile is proposed, which aims at a constant melt-front-velocity throughout the filling stage. According to the relationship between cavity geometry and the melt-front-velocity, the ideal injection velocity is proportional to the melt-front-area. Through studying the filling behavior of molten polymer and the characteristic of 3D surface mesh model, a modified Dijkstra's algorithm is employed to predict the melt-front-area at different filling steps. Based on the predicted melt-front-area, a least square method is adopted to find out the optimum injection velocity profile by minimizing the difference of injection velocity and the ideal injection velocity. Finally, a short shot experiment and a Moldflow simulation experiment have been conducted to verify the proposed optimization method, which demonstrate that the proposed method is correct and effective.
机译:注射速度曲线是影响注塑件质量的重要工艺参数。本文提出了一种快速优化注射速度曲线的方法,该方法旨在在整个填充阶段保持恒定的熔体前沿速度。根据型腔几何形状与熔体前沿速度之间的关系,理想的注射速度与熔体前沿区域成比例。通过研究熔融聚合物的填充行为和3D表面网格模型的特性,采用改进的Dijkstra算法预测不同填充步骤的熔体前沿面积。基于预测的熔体前沿区域,采用最小二乘法通过最小化注射速度与理想注射速度之差来找出最佳注射速度曲线。最后,通过短时实验和Moldflow仿真实验验证了所提方法的正确性,证明了所提方法的正确性和有效性。

著录项

  • 来源
    《Polymer-Plastics Technology and Engineering》 |2011年第6期|p.581-587|共7页
  • 作者

    Peng Zhao; Ding Yang;

  • 作者单位

    State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, Zhejiang, China;

    Sichuan Vocational and Technical College, Suining, Sichuan, China;

    State Key Laboratory of Material Processing and Die & Mould Technology, Huaz;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号