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Determining the optimal build directions in layered manufacturing

机译:确定分层制造中的最佳构建方向

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Determining the optimal build directions is one of the most critical factors in RP processes because it affects on the build time, support structure, surface quality as well as the cost. The previous methods could handle simple parts or limited objective functions. Moreover the methods with multiple objective functions, had abstracted them into a single fitness function in which the characteristics of individual objectives could not be reflected properly. In the present work a new algorithm is presented to determine the optimal build-up directions of the part in Stereolithography systems. The algorithm can help RP users select among the optimal build-up directions. The optimization is done using Multi-Objective Genetic Algorithm (MOGA). The method proposed here handles build time, support volume and surface finish as objective functions individually. At each GA step, the surface finish is achieved applying adaptive layer thickness method and optimization algorithm finds the optimal build directions with minimum build time and volume support. The algorithm is developed by MATLAB. To evaluate the algorithm, several sample parts are checked.
机译:确定最佳的建造方向是RP工艺中最关键的因素之一,因为它会影响建造时间,支撑结构,表面质量以及成本。先前的方法可以处理简单的零件或有限的目标函数。此外,具有多个目标函数的方法已将它们抽象为一个适合度函数,其中单个目标的特征无法正确反映。在本工作中,提出了一种新算法,用于确定立体光刻系统中零件的最佳堆积方向。该算法可以帮助RP用户在最佳构建方向中进行选择。使用多目标遗传算法(MOGA)进行了优化。这里提出的方法将制造时间,支撑量和表面光洁度作为目标函数进行单独处理。在每个GA步骤中,均采用自适应层厚度方法获得表面光洁度,并且优化算法以最少的构建时间和体积支持找到最佳的构建方向。该算法由MATLAB开发。为了评估算法,检查了几个样本部分。

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