ERI: Unraveling Multi-Phase Ink Shear-Thinning Flow Mechanism in Direct Ink Writing Process: Computational Fluid Dynamics Simulation and In-Situ Experimental Verification
ERI:揭示直接墨水书写过程中的多相墨水剪切稀化流动机制:计算流体动力学模拟和原位实验验证
基本信息
- 批准号:2347497
- 负责人:
- 金额:$ 19.98万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-05-01 至 2026-04-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Direct ink writing (DIW) emerges as an agile additive manufacturing method capable of fabricating functional materials into three-dimensional structures. During the DIW printing process, multi-phase ink, which combines solid-, liquid-, and gas-phase ingredients, introduces complex fluid dynamics to allow for the fabrication of parts with enhanced properties. Potential applications include electronics, aerospace, and biotechnology. This Engineering Research Initiation (ERI) award supports a comprehensive research effort to link the DIW process parameters with ink property. If successful, the project will provide new understanding of the rheological behavior of multi-phase inks used for extrusion-based 3D printing in general. The impact will extend beyond the research outcomes and empower valuable education for graduate, undergraduate, and underrepresented groups in science, technology, engineering, and mathematics (STEM) fields. The outreach activities will promote broader participation and inspire students to pursue careers in advanced manufacturing. This research project aims to unravel the shear-thinning flow mechanism of multi-phase inks in the DIW process. The current understanding of multi-phase ink primarily relies on macroscopic rheological properties, resulting in a gap between macroscopic understanding and microscopic fluid dynamics. The effort seeks to fill in this gap by discovering the fundamental knowledge of the interaction between ink shear-thinning rheological properties and DIW processing parameters via three research tasks. Task 1 focuses on establishing and implementing computational fluid dynamics (CFD) simulation for multi-phase inks. Task 2 uses the established model to evaluate rheology properties. A key research question to be addressed is how to accurately simulate the interactions among various ink components and predict rheological properties. Task 3 develops In-situ sensing for experimental verification. Simulation models will be validated using in-situ sensing and post-manufacturing characterization. The fluid dynamics data, including the flow trajectory, ink velocity, and shear rate, will be collected using a particle imaging velocimetry (PIV)-based setup. The comparison between CFD simulations and experiments could provide new insights into process control. The new knowledge to be discovered from this research will facilitate broader adoption of the DIW technology and impact the other fields of engineering.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
直接的墨水写作(DIW)是一种敏捷的添加剂制造方法,能够将功能材料构成三维结构。在DIW打印过程中,结合固体,液体和气相成分的多相墨水引入了复杂的流体动力学,以允许制造具有增强特性的零件。潜在应用包括电子,航空航天和生物技术。该工程研究启动(ERI)奖支持了一项全面的研究工作,将DIW流程参数与墨水属性联系起来。如果成功的话,该项目将对总体上用于基于挤出的3D打印的多相墨水的流变行为提供新的了解。影响将超越研究成果,并赋予科学,技术,工程和数学(STEM)领域的研究生,本科和代表性不足的群体的宝贵教育。外展活动将促进更广泛的参与,并激发学生从事高级制造业的职业。该研究项目旨在阐明DIW过程中多相墨水的剪切流动机理。当前对多相墨水的理解主要依赖于宏观的流变特性,从而导致宏观理解与微观流体动力学之间存在差距。这项工作旨在通过发现墨水剪切稀释的流变特性与DIW处理参数之间相互作用的基本知识来填补这一空白。任务1的重点是为多相油墨建立和实施计算流体动力学(CFD)模拟。任务2使用既定模型来评估流变学特性。要解决的关键研究问题是如何准确模拟各种墨水组件之间的相互作用并预测流变特性。任务3发展了实验验证的原位感测。模拟模型将使用原位感应和制造后表征进行验证。流体动力学数据,包括流动轨迹,墨水速度和剪切速率,将使用基于粒子成像的速度(PIV)设置来收集。 CFD模拟与实验之间的比较可以为过程控制提供新的见解。从这项研究中发现的新知识将有助于更广泛地采用DIW技术,并影响其他工程领域。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子和更广泛影响的评估审查标准来通过评估来获得支持的。
项目成果
期刊论文数量(0)
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Zipeng Guo其他文献
An experimental investigation into the characteristics of ammonia dissociation in a Bubbling Fluidised Bed
- DOI:
10.1016/j.ijhydene.2024.10.370 - 发表时间:
2024-12-03 - 期刊:
- 影响因子:
- 作者:
Zipeng Guo;Jianbo Li;Mengjia Zhao;Yuanyuan Zhang;Xiaofeng Lu;Dongke Zhang - 通讯作者:
Dongke Zhang
Carbon-sequestration gradient insulation composites
- DOI:
10.1016/j.xcrp.2024.102222 - 发表时间:
2024-10-16 - 期刊:
- 影响因子:
- 作者:
Arpita Sarkar;Long Zhu;Donald Petit;Abdullah Islam;Zipeng Guo;Chi Zhou;Jason N. Armstrong;Shenqiang Ren - 通讯作者:
Shenqiang Ren
Zipeng Guo的其他文献
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