CAREER: MULTIPHASE FLUID-MATERIAL INTERACTION: CAVITATION MODELING AND DAMAGE ASSESSMENT

职业：多相流体-材料相互作用：空化建模和损伤评估

• 批准号: 1751487
• 负责人: Kevin Wang
• 金额: $ 52.69万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1751487&HistoricalAwards=false
• 关键词: CAREER; MULTIPHASE; FLUID; MATERIAL; INTERACTION

Cavitation describes the formation, growth, and violent collapse of bubbles in a liquid when exposed to rapid pressure variations. If carefully controlled, cavitation can be a unique approach for high-precision material modification and fabrication, as it allows high-intensity energy pulses to be generated safely, released remotely, and focused within a small target region. The goal of this project is to understand how cavitation affects solid materials close to the bubbles; and to use this knowledge to be able to predict how cavitation modifies nearby material. The proposed research will provide new scientific insight for a broad range of engineering and biomedical applications, from fabricating materials to curing diseases. The educational and outreach component of the project will directly impact the education of K-12 schoolchildren in Central and Western Virginia, through collaboration with the Center for the Enhancement of Engineering Diversity at Virginia Tech and the Science Museum of Western Virginia in Roanoke, VA.Previous research on cavitation has primarily focused on either the fluid part of the problem, without considering the material's response, or the material part, particularly the macroscopic fracture (e.g., pits, cracks, holes) after multiple cycles of bubble collapse. This project will start with developing and experimentally validating a computational fluid dynamics/computational solid dynamics - coupled model, which will enable direct numerical simulation of up to hundreds of bubbles interacting with a broad range of materials, including fluid-induced damage and fracture. Next, the comprehensive characterization of single bubbles, tandem bubbles, and small bubble clusters collapsing near various materials will create a theoretical foundation for clarifying the micro-scale mechanisms underlying cavitation-induced material damage. Further, the direct numerical simulation model will be used to examine simplified bubbly flow models and, in combination with machine learning, design new models with improved predictive capability.

空化描述了当暴露于快速压力变化时，液体中气泡的形成、增长和剧烈破裂。如果仔细控制，空化可以成为高精度材料改性和制造的独特方法，因为它可以安全地产生高强度能量脉冲，远程释放，并集中在一个小的目标区域内。该项目的目标是了解空化作用如何影响气泡附近的固体材料;并利用这些知识来预测空化作用如何改变附近的材料。拟议的研究将为广泛的工程和生物医学应用提供新的科学见解，从制造材料到治疗疾病。该项目的教育和推广部分将直接影响K-12学童在弗吉尼亚州中部和西部的教育，通过与弗吉尼亚理工大学工程多样性增强中心和西弗吉尼亚州罗阿诺克，弗吉尼亚科学博物馆合作。以前的研究空化主要集中在流体部分的问题，不考虑材料的反应，或材料部分，特别是宏观断裂（例如，凹坑、裂缝、孔）。该项目将从开发和实验验证计算流体动力学/计算固体动力学耦合模型开始，该模型将能够直接数值模拟多达数百个气泡与各种材料的相互作用，包括流体诱导的损伤和断裂。接下来，对单个气泡、串联气泡和小气泡簇在各种材料附近坍塌的综合表征将为澄清空化引起的材料损伤的微观机制奠定理论基础。此外，直接数值模拟模型将用于检查简化的泡状流模型，并与机器学习相结合，设计具有更好预测能力的新模型。

项目成果

A spatially varying robin interface condition for fluid‐structure coupled simulations

用于流固耦合模拟的空间变化的罗宾界面条件

• DOI: 10.1002/nme.6386
• 发表时间: 2020
• 期刊: International Journal for Numerical Methods in Engineering
• 影响因子: 2.9
• 作者: Cao, Shunxiang;Wang, Guangyao;Wang, Kevin G.
• 通讯作者: Wang, Kevin G.

Shock-induced bubble collapse near solid materials: effect of acoustic impedance

• DOI: 10.1017/jfm.2020.810
• 发表时间: 2021-01-25
• 期刊: JOURNAL OF FLUID MECHANICS
• 影响因子: 3.7
• 作者: Cao, S.;Wang, G.;Wang, K.
• 通讯作者: Wang, K.

Investigation of Energy Transport during Hypervelocity Impacts in an Ambient Fluid

环境流体超高速撞击过程中能量传输的研究

• DOI: 10.2514/6.2024-0936
• 发表时间: 2024
• 期刊: American Institute of Aeronautics and Astronautics
• 作者: Islam, Shafquat;Narkhede, Aditya;Wang, Kevin
• 通讯作者: Wang, Kevin

Simulating laser-fluid coupling and laser-induced cavitation using embedded boundary and level set methods

• DOI: 10.1016/j.jcp.2022.111656
• 发表时间: 2022-10-14
• 期刊: JOURNAL OF COMPUTATIONAL PHYSICS
• 影响因子: 4.1
• 作者: Zhao, Xuning;Ma, Wentao;Wang, Kevin
• 通讯作者: Wang, Kevin

Data of compressible multi-material flow simulations utilizing an efficient bimaterial Riemann problem solver

利用高效双材料黎曼问题求解器进行可压缩多材料流动模拟的数据

• DOI: 10.1016/j.dib.2024.110081
• 发表时间: 2024
• 期刊: Data in Brief
• 影响因子: 1.2
• 作者: Ma, Wentao;Zhao, Xuning;Islam, Shafquat;Narkhede, Aditya;Wang, Kevin
• 通讯作者: Wang, Kevin