Modeling robocasting with smoothed particle hydrodynamics: Printing gap-spanning filaments

Modeling robocasting with smoothed particle hydrodynamics: Printing gap-spanning filaments
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DOI:
10.1016/j.addma.2020.101488
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发表时间:
2020-12
影响因子:
11
通讯作者:
B. Dietemann;F. Bosna;M. Lorenz;N. Travitzky;H. Kruggel-Emden;T. Kraft;C. Bierwisch
B. Dietemann;F. Bosna;M. Lorenz;N. Travitzky;H. Kruggel-Emden;T. Kraft;C. Bierwisch
中科院分区:
工程技术1区
文献类型:
--
作者:
B. Dietemann;F. Bosna;M. Lorenz;N. Travitzky;H. Kruggel-Emden;T. Kraft;C. Bierwisch

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无网格方法光滑粒子流体动力学(SPH)被用来模拟Robocasting(RC),一种基于材料挤出的增材制造(EAM)工艺,其中陶瓷丝通过机器人控制的喷嘴挤出。RC的一个特征性特征是其形成跨越间隙的细丝的能力。在本文中,我们专注于这个功能作为材料性能的函数的数值研究。结果是工艺图,其允许识别流变参数,从而产生(i)合适的工艺结果,(ii)不能形成间隙跨越细丝的太液态的陶瓷浆料,或(iii)由于太大的刚度而不可加工的浆料。借助该图,可推导出工艺指南,说明如何定制浆料流变学方面的材料特性,以获得一定的长丝偏转,或者相反,获得直丝,而不会偏转到差距中。我们的研究是一个特殊的例子RC,但数值方法是转移到其他EAM技术以及。讨论了SPH方法在EAM建模中的优势和局限性。指导方针是朝着进一步改善未来的研究EAM与SPH。
The meshfree method Smoothed Particle Hydrodynamics (SPH) is used to model Robocasting (RC), a Material Extrusion based Additive Manufacturing (EAM) processes, in which ceramic filaments are extruded through a robotically controlled nozzle. One characteristic feature of RC is its capability to form gap-spanning filaments. In this paper, we focus on a numerical study of this feature as a function of material properties. The result is a process map, which allows for the identification of rheology parameters yielding (i) suitable process results, (ii) a too liquid ceramic paste which cannot form gap-spanning filaments or (iii) a paste which is not processable due to too large stiffness. With the help of this map, process guidelines are derived on how material properties in terms of paste rheology have to be tailored to obtain a certain filament deflection or, in contrast, straight filaments without any deflection into the gap. Our study is one particular example for RC but the numerical approach is transferable to other EAM techniques as well. Advantages and limitations of SPH for modeling of EAM are discussed. Guidelines are derived towards further improvements of future studies of EAM with SPH.