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.

编织的织物聚合物复合材料，由于其易于外观性以及轻巧和高强度的结合，在包括航空航天，汽车，建筑，海洋和能源在内的多个主要行业中发现了很大的关注。尽管有如此广泛的兴趣，但仍缺乏知识和标准化在测试和分析复杂的加载条件下的机械响应时。更具体地说，基本的材料变形机制（例如纤维张力和织物嵌段）主要在各个模式下进行了研究，并且在诸如同时双轴张力和剪切等组合载荷模式下，关于织物行为的复杂性的信息较少。这种变形模式在实际应用中的示例包括在冲压过程中使用空白持有器，以及由双向机织织物复合材料制成的充气梁的加载和卸载。这项研究的目的是通过机械测试，计算机建模，X射线层析成像和多目标逆鉴定在合并的载荷模式下对编织织物的多尺度行为进行新颖的综合方法，并以最终的目的是增强用于模拟和优化组合形式的现有宏观模型的最终目标。此外，实际上，有两种不确定性来源通常会导致不可重复的测试数据和/或零件质量不一致。这些包括特定于给定的变形模式/形成设置的来源，以及织物预成式中异质性固有的源。据认为，在使用实验室测试和相关的逆方法对纱线性质的多目标识别期间，两组不确定性都需要更加关注。因此，为了在联合负载模式下添加所提出的织物模型的可靠性，在本研究中，将通过强大的实验设计技术来解释不确定性效应。最终，将针对实际成型过程进行测试，并将新的材料数据包含在用于编织织物的多标准材料选择工具中。