Evaluation of Binary and Ternary Models in Powder Packing Density for Additive Manufacturing Applications

T. Abu-lebdeh, O. Kalejaiye
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引用次数: 3

Abstract

Corresponding Author: Taher M. Abu-Lebdeh Department of Civil, Architectural and Environmental Engineering, North Carolina A&T State University, Greensboro, NC27411, USA Email: taher@ncat.edu Abstract: Powder packing is a very important aspect of additive manufacturing (3-D printing), as it directly impacts the final physical and mechanical properties of the printed objects. Improving the packing density of powder directly impacts the microstructure of the finished 3D-printed product, which also contributes to the surface finish. In order to achieve the densest packing for a powder, different sizes of that powder must be mixed together in such a way that we minimize the voids, thereby increasing the density of the powder. To achieve this, a model that predicts the volume fraction of each powder grade becomes necessary to predict the maximum possible powder density. A wide variety of models have been developed for packing density which can be classified as: Binary Mixture Models, Ternary Mixture Models and Multi-Component Mixture Models. In this project, the Furnas ternary model and the modified Toufar binary model were used to evaluate the packing density of Boron powder. Two sets of Boron powders were used for the analysis: First set: d10 = 75 μm, d50 = 90 μm, d90 = 106 μm and the second set: d10 = 3.11 μm, d50 = 14.0 μm, d90 = 30.2 μm. The three different sizes of each powder were randomly mixed to obtain the maximum packing density and compared with the theoretical packing density obtained by Furnas ternary model. The three sizes were then reduced to two sizes to obtain the packing density and compare the result with the modified Toufar binary model. Different mix rations were performed to evaluate the results obtained from both Furnas model and modified Toufar model. Results indicated that the models accurately predicted the maximum density of metal powder. Packing density obtained experimentally was 1.73 g/cm at a mix ratio (coarse: Fine) of 89:11, while the values obtained by Furnas model and modified Toufar were 1.72 at 87:13 mix and 1.73 g/cm at 89:11 mix respectively.
用于增材制造的粉末包装密度二元和三元模型的评价
摘要:粉末包装是增材制造(3d打印)的一个非常重要的方面,因为它直接影响到打印对象的最终物理和机械性能。提高粉末的堆积密度直接影响3d打印成品的微观结构,这也有助于表面光洁度。为了使粉末达到最致密的包装,不同尺寸的粉末必须混合在一起,这样我们就可以最大限度地减少空隙,从而增加粉末的密度。为了实现这一点,预测每个粉末等级的体积分数的模型成为预测最大可能的粉末密度的必要条件。各种各样的填料密度模型已经发展起来,可分为:二元混合模型、三元混合模型和多组分混合模型。本课题采用Furnas三元模型和改进的Toufar二元模型对硼粉的堆积密度进行了评价。采用两组硼粉进行分析,第一组为d10 = 75 μm, d50 = 90 μm, d90 = 106 μm,第二组为d10 = 3.11 μm, d50 = 14.0 μm, d90 = 30.2 μm。将每种粉体的3种不同粒径进行随机混合,得到最大的充填密度,并与Furnas三元模型得到的理论充填密度进行比较。然后将3种尺寸缩减为2种尺寸,得到填料密度,并与改进的Toufar二元模型进行比较。采用不同的混合配比对furas模型和改进的Toufar模型的结果进行了评价。结果表明,该模型准确地预测了金属粉末的最大密度。在粗细比为89:11时,实验得到的填料密度为1.73 g/cm,而在87:13和89:11时,furas模型和改进的Toufar模型得到的填料密度分别为1.72和1.73 g/cm。
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