首页> 外文会议>ASME international mechanical engineering congress and exposition >USING GENETIC ALGORITHMS TO OPTIMIZE THE BUILD ORIENTATION FOR FUSED DEPOSITION MODELED COMPONENTS CONTAINING INTERNAL REINFORCEMENT STRUCTURES
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USING GENETIC ALGORITHMS TO OPTIMIZE THE BUILD ORIENTATION FOR FUSED DEPOSITION MODELED COMPONENTS CONTAINING INTERNAL REINFORCEMENT STRUCTURES

机译:使用遗传算法优化包含内部加固结构的熔融沉积建模组件的装配方向

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Fused Deposition Modeling (FDM) is an additive fabrication process that builds a part from extruded filaments of a melted thermoplastic. Typically, the parts are built using a 'solid' (complete fill) or 'shell' (3-4 mm external boundary with a loose internal weave) strategy. The introduction of parametric internal structures to support the required tensile or compressive loads provides an intermediate solution to the standard build options, and reduces the material usage while reinforcing the part as required. The internal structures can have a hexagonal, pyramidal, or orthogonal configuration. Because of the configuration variation, the internal structure form arrangement and geometric structure will influence the optimal build orientation. This will have an effect on the productivity or build time, mechanical properties such as strength, surface finish, materials usage and the total build cost. This paper presents a model to optimize the orientation of a part for FDM fabrication while considering these various factors. The CAD part model (in STL format) is an input to the system. A genetic algorithm is used to obtain optimum orientation of the parts for FDM. The objective function for optimization is considered a weighted average of the performance measures such as build time, part quality, material usage, surface finish, interior geometry', strength characteristics, and related parameters. The merits of the approach will be demonstrated using models with varying levels of complexity. The final model tested consists of a human tibia.
机译:熔融沉积建模(FDM)是一种增材制造工艺,该工艺由熔融热塑性塑料的挤出长丝制成。通常,零件是使用“实心”(完全填充)或“壳”(3-4毫米外部边界,内部编织较松)构建的。引入参数化内部结构以支持所需的拉伸或压缩载荷为标准构建选项提供了一种中间解决方案,并减少了材料使用量,同时根据需要增强了零件。内部结构可以具有六边形,金字塔形或正交构型。由于配置变化,内部结构的形式排列和几何结构将影响最佳的构建方向。这将对生产率或建造时间,机械性能(例如强度,表面光洁度,材料使用情况和总建造成本)产生影响。本文提出了一个模型,该模型可在考虑这些因素的同时优化用于FDM制造的零件的方向。 CAD零件模型(采用STL格式)是系统的输入。遗传算法用于获得FDM零件的最佳方向。优化的目标函数被认为是性能度量的加权平均值,例如构建时间,零件质量,材料使用,表面光洁度,内部几何形状,强度特性和相关参数。将使用具有不同复杂程度的模型来演示该方法的优点。最终测试的模型由人类胫骨组成。

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