空间绿密度变化及其对粘结剂喷射增材制造变形预测的影响

IF 11.1 1区 工程技术 Q1 ENGINEERING, MANUFACTURING Additive manufacturing Pub Date : 2025-01-25 Epub Date: 2025-01-07 DOI:10.1016/j.addma.2025.104640
Basil J. Paudel , Albert C. To
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引用次数: 0

摘要

粘结剂喷射增材制造(BJAM)经常遇到严重的几何变形,零件收缩超过15% %。先进的补偿模型已经开发,以减轻这些扭曲,减少最终偏差在2-3 %的目标尺寸。这些模型中的一个关键因素是打印部件的绿色密度,它根据打印参数和部件在构建中的位置而变化。本研究深入研究了BJAM中绿色密度的三维空间变化,研究了两种常见的粉末散布机制:带有垂直移动平台和圆柱滚筒式散布器的固定粉末给料容器,以及用于粉末沉积的水平移动料斗。在三个定向缩放的样本上进行了实验,以评估几何尺寸对绿密度分布的影响。分析显示,在不同的垂直位置(“部分层”)上,绿色密度至少有5 %的变化,特别是在由于粉末扩散和压实过程而具有广泛扩散距离的系统中。此外,在较大的打印系统中,在相同构建的部件中观察到密度差异超过10 %,强调了空间变化对制造部件最终性能的影响。将空间绿密度变化纳入有限元烧结模型显著提高了预测精度,将误差降低到实验结果的1 %(约0.5 mm)以内,比均匀密度假设提高了75 %。该研究强调了考虑空间绿色密度变化的必要性,以实现对BJAM零件最终几何形状的精确控制。
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Spatial green density variation and its effect on distortion prediction in binder jet additive manufacturing
Binder Jet Additive Manufacturing (BJAM) often encounters significant geometric distortions with part shrinking by over 15 %. Advanced compensation models have been developed to mitigate these distortions, reducing final deviations to within 2–3 % of target dimensions. A critical factor in these models is the green density of the printed part, which varies based on printing parameters and part location within the build. This study delves into the three-dimensional spatial variation of green density in BJAM, examining two prevalent powder spreading mechanisms: a fixed powder feedstock container with a vertically movable platform and cylindrical roller spreader, and a horizontally moving hopper for powder deposition. Experiments were conducted on three directionally scaled samples to assess the influence of geometric size on green density distribution. Analysis reveals at least 5 % green density variations across different vertical positions ('part layers'), particularly in systems with extensive spreading distances due to the powder spreading and compaction process. Additionally, density discrepancies exceeding 10 % were observed within parts of the same build in larger printing systems, underscoring the impact of spatial variation on the final properties of the manufactured parts. Incorporating spatial green density variations into finite element sintering models dramatically enhances prediction accuracy, reducing errors to within 1 % (approximately 0.5 mm) of experimental results, representing a 75 % improvement over uniform density assumption. This research highlights the necessity of accounting for spatial green density variations to achieve precise control over the final geometry of BJAM parts.
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来源期刊
Additive manufacturing
Additive manufacturing Materials Science-General Materials Science
CiteScore
19.80
自引率
12.70%
发文量
648
审稿时长
35 days
期刊介绍: Additive Manufacturing stands as a peer-reviewed journal dedicated to delivering high-quality research papers and reviews in the field of additive manufacturing, serving both academia and industry leaders. The journal's objective is to recognize the innovative essence of additive manufacturing and its diverse applications, providing a comprehensive overview of current developments and future prospects. The transformative potential of additive manufacturing technologies in product design and manufacturing is poised to disrupt traditional approaches. In response to this paradigm shift, a distinctive and comprehensive publication outlet was essential. Additive Manufacturing fulfills this need, offering a platform for engineers, materials scientists, and practitioners across academia and various industries to document and share innovations in these evolving technologies.
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