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Adaptive process planning of rapid prototyping and manufacturing for complex biomedical models

机译:快速原型制造和复杂生物医学模型的自适应过程规划

摘要

In this research, a set of novel, integrated and systematic adaptive process planning algorithms and strategies, which include adaptive tool-path generation algorithms and strategies, adaptive slicing algorithms and strategies, adaptive approach for FGM(Functionally Graded Material)-based biomedical model and build time and geometrical accuracy analysis and control modules, for complex biomedical model fabrication in the RP/M (Rapid Prototyping and Manufacturing) process, have been developed to balance and optimise the geometrical accuracy and build efficiency.In the developed adaptive tool-path generation algorithms and strategies, directly slicing algorithm and NURBS(Non-Uniform Rational B-Spline)-based curves have been developed to represent the boundary contours of the sliced layers to maintain the geometrical accuracy of original biomedical models. The developed mixed tool-path generation algorithm can be used to generate mixed contour and zigzag tool-paths to preserve geometrical accuracy and speed up fabrication. Based on the developed build time and geometrical accuracy analysis modules, the developed adaptive speed algorithms can be used to further reduce build time of biomedical model fabrication in RP/M.In the developed adaptive slicing approach, rotating slicing and two thresholds have been introduced to extract surface feature of biomedical models. Then, an adaptive slicing thickness determination algorithm has been developed to decide the thickness of each slicing layer based on the outside surface complexity of the model. In addition, the user can balance the geometrical accuracy and the build efficiency during RP/M processing with the different values of two pre-setting thresholds. Furthermore, by choosing the right value of the pre-setting thresholds, it can also effectively reduce the build time and improve the accuracy of biomedical model fabrication in RP/M. In the developed adaptive approach for FGM-based biomedical model fabrication, FGM-based modelling features can represents typical FGM-based biomedical models effectively, and the linear and non-linear control parameters for FGM composition and distributions can enable users to address their specific functional needs of FGM-based biomedical model. The proposed mixed tool-path generation algorithm and adaptive speed algorithm can be used to generate a series of contour/offset tool-paths to represent the material gradual change, and zigzag tool-path is generated for the internal area of a single material to support the realizable and customized FGM-based biomedical models fabrication in RP/M efficiently.
机译:在这项研究中,提出了一套新颖,集成且系统的自适应过程规划算法和策略,包括自适应工具路径生成算法和策略,自适应切片算法和策略,基于功能梯度材料的生物医学模型的自适应方法以及为了在RP / M(快速原型制造)过程中制造复杂的生物医学模型,建立了构建时间和几何精度分析和控制模块,以平衡和优化几何精度和构建效率。算法和策略,直接切片算法和基于NURBS(非均匀有理B样条)的曲线已被开发出来,以表示切片层的边界轮廓,以保持原始生物医学模型的几何精度。开发的混合刀具路径生成算法可用于生成混合轮廓和锯齿形刀具路径,以保持几何精度并加快制造速度。基于改进的构建时间和几何精度分析模块,可以将改进的自适应速度算法用于进一步减少RP / M中生物医学模型制造的构建时间。在改进的自适应切片方法中,引入了旋转切片和两个阈值提取生物医学模型的表面特征。然后,开发了一种自适应切片厚度确定算法,用于根据模型的外表面复杂度来确定每个切片层的厚度。另外,用户可以在RP / M处理期间通过两个预设阈值的不同值来平衡几何精度和建造效率。此外,通过选择合适的预设阈值,还可以有效减少构建时间并提高RP / M中生物医学模型制作的准确性。在开发的基于FGM的生物医学模型的自适应方法中,基于FGM的建模功能可以有效地表示典型的基于FGM的生物医学模型,并且FGM组成和分布的线性和非线性控制参数可以使用户满足其特定功能基于FGM的生物医学模型的需求。提出的混合刀具路径生成算法和自适应速度算法可用于生成一系列轮廓/偏移刀具路径来表示材料的逐渐变化,并为单个材料的内部区域生成锯齿形的刀具路径以进行支撑在RP / M中高效地实现可定制的基于FGM的生物医学模型制造。

著录项

  • 作者

    Jin G.;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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