数值方法提高增材制造工艺生产率的潜力

IF 2.7 Q1 MATERIALS SCIENCE, CERAMICS Ceramics-Switzerland Pub Date : 2023-03-01 DOI:10.3390/ceramics6010038
U. Scheithauer, Tetyana Romanova, Oleksandr Pankratov, Eric Schwarzer-Fischer, M. Schwentenwein, F. Ertl, A. Fischer
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引用次数: 0

摘要

由于零部件的逐层创建,增材制造(AM)工艺能够灵活生产具有高度复杂几何形状的零部件,而这些几何形状以前是无法实现的,或者只需要付出很大的努力。虽然AM技术在研究领域非常广泛,但到目前为止,它们只在少数个别应用领域进行了工业应用。制造成本是其中一个原因。在这项工作中,提出了一种在建筑箱中优化组件布置的新方法及其降低制造成本的潜力,并通过选定的示例和讨论进行了说明。需要三种不同几何形状和/或倾斜度的圆柱体,每种圆柱体的数量约为1000个。该优化旨在以尽可能少的打印作业数进行布置。与当前基于边界框方法的自动软件工具获得的解决方案相比,优化的布置导致建筑平台上的组件数量增加70%,或者换句话说,导致制造每种类型的980个组件所需的建筑平台数量减少44%。最后,提出了一种三步走的方法,以在未来自动优化AM部件的制造准备。
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Potentials of Numerical Methods for Increasing the Productivity of Additive Manufacturing Processes
Thanks to the layer-by-layer creation of components, additive manufacturing (AM) processes enable the flexible production of components with highly complex geometries, that were previously not realizable or only with very great effort. While AM technologies are very widespread in the research sector, they have so far only been used industrially in a few individual areas of application. The manufacturing costs are one reason for this. In this work, a new approach for the optimized arrangement of components in the building box and its potential for reducing the manufacturing costs are presented, illustrated by a selected example, and a discussion. Three types of cylinders, which differ in geometry and/or inclination, are required in quantities of around 1000 each. The optimization aims at an arrangement with the smallest possible number of printing jobs. Compared to the solution obtained by the current automatic software tool that is based on the bounding box method, the optimized arrangement leads to a 70% increase in the number of components on a building platform or, in other words, to a 44% reduction in the number of building platforms needed to manufacture 980 components of each type. Finally, a three-step method is proposed, to optimize the manufacturing preparation for AM components automatically in the future.
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来源期刊
CiteScore
3.00
自引率
7.10%
发文量
66
审稿时长
10 weeks
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