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Geometric Analysis for Concurrent Process Optimization of AM

机译:AM并发过程优化的几何分析

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Build orientation and deposition direction are two important AM process parameters which are determined at the pre-processing stage of AM. Carefully determined build direction and deposition direction can significantly improve the process and fabrication attributes. Either build direction or deposition direction is usually optimized independently considering one or multiple attributes. Such approach undermines the hierarchical relationship in the AM process plan and may produce sub-optimal solution. Besides, both build direction and deposition direction alter the layer topology and tool-path pattern which eventually determine the process and part attributes. But, the geometry is not taken into consideration while determining the build and deposition orientation. In this paper, an integrated framework is proposed to concurrently determine the optimum build orientation and tool-path/deposition direction using Genetic Algorithm (GA). The proposed methodology is designed on the basis of the layer geometries and the resulting part attributes to ensure manufacturability and minimize fabrication complexity for parts in AM processes. The proposed algorithm is implemented on two free form shaped objects and the process converges within a reasonable number of iterations.
机译:构建方向和沉积方向是两个重要的AM工艺参数,其在AM的预处理阶段确定。精心确定的构建方向和沉积方向可以显着改善过程和制造属性。构建方向或沉积方向通常是考虑一个或多个属性的独立优化。这种方法在AM过程计划中破坏了分层关系,并且可以产生次优的解决方案。此外,构建方向和沉积方向都改变了最终确定过程和部分属性的层拓扑和工具路径模式。但是,在确定构建和沉积方向时,不考虑几何形状。在本文中,提出了一种综合框架,以使用遗传算法(GA)同时确定最佳构建方向和刀具路径/沉积方向。所提出的方法是基于层几何形状和所产生的部分属性设计,以确保可制造性和最小化AM过程中的零件的制造复杂性。所提出的算法在两个自由形式的形状物体上实现,并且该过程在合理数量的迭代内收敛。

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