先进制造技术的 DEM 建模:从 SLS 到 3D 混凝土打印

IF 2.2 3区 工程技术 Q2 MECHANICS Archive of Applied Mechanics Pub Date : 2024-06-19 DOI:10.1007/s00419-024-02615-4
Osvaldo D. Quintana-Ruiz, Eduardo M. B. Campello
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引用次数: 0

摘要

本文探讨先进制造业中选择性激光烧结(SLS)和三维混凝土打印(3DCP)过程的计算建模。我们重点关注其原料材料在制造过程中的中观尺度(烧结粉末颗粒和混凝土骨料尺度)现象。我们的方法基于离散元素法(DEM)来表示材料的机械行为。在 SLS 中,离散元素法与块状传热模型相结合,用于描述激光束扫描时粉末颗粒的热状态。反过来,在 3DCP 中,DEM 与所谓的离散新拌混凝土 (DFC) 模型相结合,用于表示新拌混凝土浆料的流变性。随后,我们介绍了一种简单的数值求解方案,并对两个模型问题进行了数值模拟,以说明这种建模方法的适用性。
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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DEM modeling of advanced manufacturing technologies: from SLS to 3D concrete printing

This paper addresses the computational modeling of selective laser sintering (SLS) and 3D concrete printing (3DCP) processes in advanced manufacturing. We focus on the phenomena experienced by their feedstock materials at the level of their mesoscale (the sintering powder grain and concrete aggregate scales) during the manufacturing process. Our approach is based on the discrete element method (DEM) for representing the material’s mechanical behavior. In SLS, the DEM is then combined with a lumped heat transfer model for describing the powder particles’ thermal states when scanned by the laser beam. In 3DCP, in turn, the DEM is combined with the so-called discrete fresh concrete (DFC) model for representing the fresh concrete paste rheology. We then present a simple numerical solution scheme followed by numerical simulations on two model-problems, with which we illustrate the applicability of such modeling approach.

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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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