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Development of Advanced Numerical Fluids models for complex flows found in composites

Development of Advanced Numerical Fluids models for complex flows found in composites
开发复合材料中复杂流动的高级数值流体模型
批准号:
2267409
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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中文摘要
翻译
该项目旨在显著改进可用平滑粒子流体动力学(SPH)有效模拟的模型。该项目旨在对复合层中的流体、流体-孔洞和流体-孔洞-固体相互作用进行建模。它应该开发一个高性能、可伸缩的代码,可以应用于制造过程。然后,该模型将根据从各种来源获得的测试数据进行测试,然后将其用于执行数值优化,以减少空隙含量。最后,将建立一个示范器来与SPH预测进行比较,以量化空穴含量。该项目将在当前用于模拟复合材料中空穴形成的模型的质量不令人满意的背景下进行。假设球形空洞是目前最好的分析模型,这些模型不能令人满意地描述在制造过程中发现的非球形空洞的演变。SPH提供了模拟所有相关物理行为的能力,同时允许非球形空洞并避免网格生成的问题。用于实现这一点的主要方法将是平滑粒子流体动力学(SPH),然而,该方法的发展将远远超过其迄今的使用方式。该项目将受益于Rendall博士在数值流体建模、SPH和优化方面的丰富经验,以及Kratz博士与实验数据、ACCIS复合材料小组和NCC的链接。还将提供诸如现场显微CT数据和访问蓝晶等资源。
英文摘要
The project aims to significantly improve on what can be effectively modelled with smoothed particle hydrodynamics (SPH). The project aims to model fluid, fluid-void and fluid-void-solid interactions in composite layers. It should develop a high performance, scalable code which can be applied to manufacturing processes. This model would then be tested against test data taken from a variety of sources, and it would then be used to perform numerical optimisation to reduce void content. Finally a demonstrator would be built to quantify the void content compared to SPH predictions.This project would be pursued in the context of the unsatisfactory quality of current models used to model void formation in composites. Analytical models assuming spherical voids are currently the best available, and these cannot satisfactorily describe the evolution of non spherical voids found during manufacture. SPH offers the capability to model all of the relevant physical behaviour, while allowing for non spherical voids and avoiding the problems of mesh generation.The main method used to achieve this will be smoothed particle hydrodynamics (SPH), however the method would have to be developed significantly beyond how it has been used to date. The project would benefit from Dr Rendall's extensive experience in numerical fluid modelling, SPH and optimisation, as well as Dr Kratz's links to experimental data, the ACCIS composites group and the NCC. Resources such as in-situ micro CT data and access to Blue Crystal would also be available.
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