Investigation of Combined Loading Effects during Testing, Modeling and Optimization of Woven Fabrics under Uncertainty: An Application to Forming Processes

不确定性下机织织物测试、建模和优化过程中组合载荷效应的研究：在成型过程中的应用

• 批准号: 355751-2013
• 负责人: SadeghzadehMilani, Abbas
• 金额: $ 2.33万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638565
• 关键词: Investigation; Combined; Loading; Effects; during

Woven fabric polymer composites, owing to their ease of formability along with a combination of light weight and high strength, have found considerable attention in several leading industries including aerospace, automotive, construction, marine, and energy. Despite this wide interest, there still exists a lack of knowledge and standardization in testing and analyzing their mechanical responses under complex loading conditions. More specifically, basic material deformation mechanisms such as fiber tension and fabric trellising have been mostly studied under individual modes, and there is less information on the complexity of fabrics behavior under combined loading modes such as simultaneous biaxial tension and shear. Examples of such deformation modes in practical applications include the use of a blank-holder during stamping, and the loading and unloading of inflatable beams made of bidirectional woven fabric composites. The aim of this research is to conduct a novel, integrated approach by means of mechanical testing, computer modeling, x-ray tomography and multi-objective inverse identification of multi-scale behavior of woven fabrics under combined loading modes, with an ultimate goal of enhancing the performance of existing macro-level models used for the simulation and optimization of composite forming processes in Canada and elsewhere. Furthermore, in practice there are two sources of uncertainties that often result in non-repeatable test data and/or inconsistent parts quality. These include sources that are specific to a given deformation mode/forming set-up, and those that are inherent to the heterogeneity within fabric preforms. It is deemed that both groups of uncertainties need a closer attention during multi-objective identification of yarn properties using laboratory tests and the related inverse methods. Hence, in order to add to the reliability of the proposed fabric models under combined loading modes, uncertainty effects will be accounted for in this research via a robust design-of-experiments technique. Eventually, results will be tested against an actual forming process, and new material data will be included in a multi-criteria material selection tool for woven fabrics.

机织织物聚合物复合材料由于其易于成型以及轻质和高强度的特点，在航空航天、汽车、建筑、船舶和能源等几个领先行业中引起了广泛关注。尽管受到广泛关注，但在复杂负载条件下测试和分析其机械响应方面仍然缺乏知识和标准化。更具体地说，基本材料变形机制（例如纤维张力和织物网格）主要在单独模式下进行研究，而关于同时双轴拉伸和剪切等组合加载模式下织物行为复杂性的信息较少。实际应用中这种变形模式的例子包括冲压过程中压边圈的使用，以及双向编织织物复合材料制成的充气梁的装卸。本研究的目的是通过机械测试、计算机建模、X射线断层扫描和多目标逆识别机织物在组合加载模式下的多尺度行为来进行新颖的综合方法，最终目标是提高加拿大和其他地方用于模拟和优化复合材料成型工艺的现有宏观模型的性能。此外，在实践中，存在两个不确定性来源，通常会导致不可重复的测试数据和/或不一致的零件质量。这些包括特定于给定变形模式/成形设置的源，以及织物预成型件内的异质性所固有的源。人们认为，在使用实验室测试和相关反演方法对纱线性能进行多目标识别时，两组不确定性都需要密切关注。因此，为了增加所提出的织物模型在组合加载模式下的可靠性，本研究将通过稳健的实验设计技术来考虑不确定性影响。最终，结果将根据实际成型过程进行测试，新材料数据将包含在机织织物的多标准材料选择工具中。