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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

38
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
38

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Synthesis of Soft Polysiloxane-urea Elastomers for Intraocular Lens Application
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液透镜的质量优化基于顺序近似优化和辐射基函数网络.

Hanjui Chang1,2, Shuzhou Lu3,4, Yue Sun3,4

  • 1Department of Mechanical Engineering, College of Engineering, Shantou University, Shantou, 515063, China. changhj@stu.edu.cn.

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|February 3, 2025
PubMed
概括

这项研究提出了一种新的优化方法,用于液体光学镜片注射成型. 它显著减少了诸如残余应力和收缩等缺陷,提高了质量和效率,同时降低了对环境的影响.

关键词:
具有破坏性的措施.液态光学镜头是液态光学镜头.多目标优化多目标优化射线基础函数的作用顺序近似优化优化 顺序近似优化

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科学领域:

  • 材料科学 材料科学 材料科学
  • 制造业 工程 制造工程
  • 优化理论 优化理论

背景情况:

  • 液体光学镜片的注射成型面临残余应力和体积收缩的挑战,影响产品质量和制造效率.
  • 传统的优化方法往往涉及广泛的试错,导致高成本和物料浪费.
  • 减少制造工艺的环境足迹是一个日益关注的问题.

研究的目的:

  • 开发和验证一种创新的多目标优化方法,用于液体光学镜片的注塑成型.
  • 为了最大限度地减少制造的镜头中的残余应力和体积收缩.
  • 提高整体产品质量,制造效率和工艺可持续性.

主要方法:

  • 使用顺序近似优化 (SAO) 与辐射基函数 (RBF) 网络相结合,创建注塑工艺的近似模型.
  • 用RBF网络取代了计算上昂贵的有限元再分析,以更快地构建功能关系.
  • 将多目标优化简化为单个目标问题,并使用帕雷托边界分析进行参数调整.

主要成果:

  • 在液体光学镜片中实现了剩余应力和体积收缩的显著减少.
  • 确定了最佳的工艺参数:填充时间 (1.57秒),化温度 (27.18°C),模具温度 (150°C),固化时间 (20.02秒) 和固化压力 (28.79 MPa).
  • 使用非破坏性测试进行的实验验证证证了数值结果和方法的有效性.

结论:

  • 提出的SAO-RBF优化方法为改善注塑成型工艺提供了可靠和实用的解决方案.
  • 这种方法有效地减少了试错,材料浪费和碳排放,有助于成本效益和可持续性.
  • 这种方法证明了对优化各种复杂的制造工艺的广泛适用性.