Three-Dimensional Prediction of Lack-of-Fusion Porosity Volume Fraction and Morphology for Powder Bed Fusion Additively Manufactured Ti–6Al–4V

IF 2.4 3区 材料科学 Q3 ENGINEERING, MANUFACTURING Integrating Materials and Manufacturing Innovation Pub Date : 2024-03-25 DOI:10.1007/s40192-024-00347-5
Vamsi Subraveti, Brodan Richter, Saikumar R. Yeratapally, Caglar Oskay
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Abstract

Powder bed fusion (PBF) is an additive manufacturing technique that has experienced widespread growth in recent years due to various process advantages. However, defects such as porosity and the effects that porosity have on the mechanical performance remain a concern for parts manufactured using PBF. This work develops a three-dimensional framework to simulate lack-of-fusion (LoF) porosity during powder bed fusion using the voxel-based lack-of-fusion model. The framework is calibrated and validated against previously reported LoF porosity measurements and maximum equivalent pore diameter. The framework is used to study the influence of laser power, velocity, hatch spacing, and layer thickness on porosity volume fraction and morphology. Power and velocity have a linear relationship to porosity, and power has a stronger effect than velocity on changing porosity. This stronger effect of power versus velocity contributes to high variability when relating energy density to porosity, and a modified energy density metric that weighs power heavier is shown to reduce variability. In contrast to power and velocity, hatch spacing and layer thickness have a more complicated relationship with porosity, especially at their extrema. The influence of hatch spacing and layer thickness on pore equivalent diameter and sphericity is also explored, and four distinct morphological regimes are characterized. A LoF criteria proposed in a previous work are also confirmed. Overall, the framework offers a methodology to simulate porosity quantity and morphology and interfaces with other process–structure–property prediction techniques to support the design and development of reduced-defect powder bed fusion parts.

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粉末床熔融快速成型 Ti-6Al-4V 的熔融孔隙体积分数和形态的三维预测
粉末床熔融(PBF)是一种增材制造技术,由于具有各种工艺优势,近年来得到了广泛的发展。然而,气孔等缺陷以及气孔对机械性能的影响仍然是使用 PBF 制造零件时需要关注的问题。这项研究开发了一个三维框架,利用基于体素的熔融缺失模型模拟粉末床熔融过程中的熔融缺失(LoF)孔隙率。该框架根据之前报道的熔融缺乏孔隙率测量值和最大等效孔径进行了校准和验证。该框架用于研究激光功率、速度、舱口间距和层厚度对孔隙率体积分数和形态的影响。功率和速度与孔隙率呈线性关系,功率比速度对孔隙率变化的影响更大。当能量密度与孔隙度相关联时,功率相对于速度的这种较强影响导致了较高的变异性。与功率和速度相比,舱口间距和岩层厚度与孔隙度的关系更为复杂,尤其是在它们的极值处。研究还探讨了舱口间距和层厚对孔隙当量直径和球形度的影响,并描述了四种不同的形态状态。之前一项工作中提出的 LoF 标准也得到了证实。总之,该框架提供了一种模拟孔隙率数量和形态的方法,并与其他工艺-结构-性能预测技术相结合,为设计和开发减少缺陷的粉末床熔合零件提供支持。
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来源期刊
Integrating Materials and Manufacturing Innovation
Integrating Materials and Manufacturing Innovation Engineering-Industrial and Manufacturing Engineering
CiteScore
5.30
自引率
9.10%
发文量
42
审稿时长
39 days
期刊介绍: The journal will publish: Research that supports building a model-based definition of materials and processes that is compatible with model-based engineering design processes and multidisciplinary design optimization; Descriptions of novel experimental or computational tools or data analysis techniques, and their application, that are to be used for ICME; Best practices in verification and validation of computational tools, sensitivity analysis, uncertainty quantification, and data management, as well as standards and protocols for software integration and exchange of data; In-depth descriptions of data, databases, and database tools; Detailed case studies on efforts, and their impact, that integrate experiment and computation to solve an enduring engineering problem in materials and manufacturing.
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