A method for the predictive and automated detection of the shrink line location during the powder bed fusion of metals using a laser beam

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Abstract

The powder bed fusion of metals using a laser beam enables the additive manufacturing of topology-optimized parts involving structural transitions and rapid cross-sectional changes. Both geometry features can cause shrink lines, which reduce the dimensional accuracy and the fatigue resistance of the manufactured part. To provide reduction measures, their point of origin needs to be located in advance. This work presents an algorithm capable of automatically predicting the shrink line location for arbitrary discretized geometries. The results demonstrate the reliable detection and layer-wise characterization of the shrink-line-causing geometry features. Suitable discretization parameters were derived and the dependence of the computational time on the part complexity was quantified.
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利用激光束预测和自动检测金属粉末床熔化过程中收缩线位置的方法
使用激光束对金属进行粉末床熔融,可以快速制造出拓扑优化的零件,其中涉及结构转换和快速截面变化。这两种几何特征都会导致收缩线,从而降低制造零件的尺寸精度和抗疲劳性。为了采取减少收缩线的措施,需要提前定位收缩线的起始点。这项工作提出了一种算法,能够自动预测任意离散几何形状的收缩线位置。结果表明,该算法能可靠地检测和分层描述导致收缩线的几何特征。得出了合适的离散化参数,并量化了计算时间与零件复杂度的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Editorial Preface Editorial Editorial Off-axis monitoring of the melt pool spatial information in Laser Metal Deposition process
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