几何参数对 LPBF 生产的 TPMS 晶格尺寸偏差的影响:基于数值模拟的研究

IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Modelling and Simulation in Materials Science and Engineering Pub Date : 2024-04-16 DOI:10.1088/1361-651x/ad3a00
Orhan Gülcan, Kadir Günaydın, Aykut Tamer
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引用次数: 0

摘要

三周期极小表面(TPMS)晶格因其出色的机械性能,在学术界和工业界都引起了极大的关注。增材制造(AM)模式使这些晶格的生产变得非常容易。然而,尺寸不精确仍然是 AM 面临的问题之一。使用增材制造模式制造这些晶格,然后测量关键尺寸并相应地修改设计,是一个成本高昂的过程。因此,有必要在打印前预测 TPMS 晶格的尺寸偏差,这是一个关键课题。本研究通过热力学模拟,重点预测了激光粉末床熔融(LPBF)生产的陀螺、金刚石、基元、IWP 和 Fisher-Koch 晶格的尺寸偏差。选择 TPMS 类型、单元尺寸、体积分数、功能分级和零件方向作为设计变量。结果表明,所有设计输入都会影响 LPBF 制成零件的尺寸精度,而 TPMS 类型是最关键的因素。根据方差分析,提出了一种最佳晶格配置,以获得 LPBF 制作后最小的尺寸偏差。
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The effect of geometrical parameters on dimensional deviation in LPBF produced TPMS lattices: a numerical simulation based study
Triply periodic minimal surface (TPMS) lattices have drawn great attention both in academic and industrial perspective due to their outstanding mechanical behaviours. Additive manufacturing (AM) modalities enable the production of these lattices very easily. However, dimensional inaccuracy is still one of the problems that AM still faces with. Manufacturing of these lattices with AM modalities, then measuring the critical dimensions and making design changes accordingly is a costly process. Therefore, it is necessary to predict the dimensional deviation of TPMS lattices before print is a key topic. This study focused on prediction of dimensional deviation of laser powder bed fusion (LPBF) produced gyroid, diamond, primitive, IWP and Fisher-Koch lattices by using thermomechanical simulations. TPMS type, unit cell size, volume fraction, functional grading and part orientation were selected as design variables. Results showed that all the design inputs have effects on dimensional accuracy of LPBF produced parts and TPMS type has the most critical factor. Based on analysis of variance analysis, an optimum lattice configuration was proposed to obtain the lowest dimensional deviation after LPBF build.
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
96
审稿时长
1.7 months
期刊介绍: Serving the multidisciplinary materials community, the journal aims to publish new research work that advances the understanding and prediction of material behaviour at scales from atomistic to macroscopic through modelling and simulation. Subject coverage: Modelling and/or simulation across materials science that emphasizes fundamental materials issues advancing the understanding and prediction of material behaviour. Interdisciplinary research that tackles challenging and complex materials problems where the governing phenomena may span different scales of materials behaviour, with an emphasis on the development of quantitative approaches to explain and predict experimental observations. Material processing that advances the fundamental materials science and engineering underpinning the connection between processing and properties. Covering all classes of materials, and mechanical, microstructural, electronic, chemical, biological, and optical properties.
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