ABSTRACT

This paper presents a methodology to estimate and optimize the process of slicing for a layer-based additive manufacturing process. An objective function for optimizing the process planning parameters is proposed in which perimetral offsets for each layer are considered as a parameter in addition to the layer thickness. The root-mean-square (RMS) value of the deviations between the NURBS representation of the CAD model and its built-up simulation is suggested to estimate a quantitative measure for the uncertainties. The proposed approach eliminates the sophistication of the calculation cusp volume in 3D space and has more compatibility with the corresponding inspection processes. The developed methodology is introduced based on using a metaheuristic algorithm to find the optimal layer thicknesses and perimetral offsets for a built-up model. A data collecting approach is also introduced to reduce the computation time associated with the simulation of the build-up model at each iteration. The developed methodology potentially can be used for layer-based additive manufacturing processes

摘要

本文提出了一种评估和优化基于层的增材制造过程的切片过程的方法。提出了用于优化工艺规划参数的目标函数，其中每层的周边偏移被视为除层厚度之外的一个参数。建议使用 CAD 模型的 NURBS 表示与其建立的模拟之间偏差的均方根 (RMS) 值来估计不确定性的定量测量。所提出的方法消除了 3D 空间中计算尖端体积的复杂性，并且与相应的检查过程具有更大的兼容性。所开发的方法是基于使用元启发式算法来找到构建模型的最佳层厚度和周界偏移量的。还引入了一种数据收集方法，以减少与每次迭代时构建模型模拟相关的计算时间。开发的方法可能可用于基于层的增材制造工艺