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Failure process and optimal design of hybrid adhesive joints - a microscale experimental and numerical approach

Failure process and optimal design of hybrid adhesive joints - a microscale experimental and numerical approach
混合粘合接头的失效过程和优化设计——微尺度实验和数值方法
批准号:
EP/T020695/1
负责人:
Xiaonan Hou
金额:
$27.72万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

项目摘要

项目成果

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中文摘要
翻译
随着新型工程材料的发展,通过应用新材料代替传统材料,混杂结构得到了广泛的应用,以达到预期的性能。这在汽车、航空航天和国防行业尤其如此,因为这是实现更高性能、更好燃油效率和最大限度减少温室气体排放的主要方法。这种技术正在德国和美国等其他以制造业为基础的高价值经济体迅速被利用。在制造混杂结构方面,粘接技术因其具有高性价比、高集成度、载荷分布均匀和提高损伤容限等优点而受到越来越多的关注。然而,粘结连接在混合结构中的应用仍有一定的局限性。“混合接头”的概念涉及两个或两个以上具有不同材料特性的不同成分的组合。到目前为止,还没有成熟的理论来描述成分组合、几何结构(界面和粘结层的微观结构、粘结剂的厚度和重叠等)之间的关系。以及混合动力关节的整体性能。此外,混杂胶接接头的优化是另一个挑战,因为混杂胶接接头的可能影响因素的数量明显高于传统接头,并且这些因素是相互作用的。在实践中,对于混杂节点还没有一种有效的优化方法。这些限制导致了“过度设计”混合连接结构的趋势。因此,该项目将专注于混合胶接失效机理的基础研究,并开发符合学术界和工业界观点的优化策略。为实现这些目标,该项目有四个主要工作包(WPS)。在WP1中,将使用先进的测试设备分析接头的失效机理,并考虑微观结构的影响。然后,在WP2中,将开发一个DEM模型来描述接头的力学特性,并生成必要的数据点进行优化。基于WPS 1和2的结果,将在WP3中使用DOE和遗传编程技术开发优化算法,以根据设计要求生成混合胶接的优化设计。最后,将基于真实世界的应用进行案例研究以进行验证。该项目的成果将在很大程度上克服目前该领域研究的局限性,并使高价值制造中高性能混合结构的开发发生阶段性变化。
英文摘要
With development of new engineering materials, hybrid structures are now widely used to achieve desired performances by applying new materials instead of conventional ones. This is especially so in the automotive, aerospace and defence industries, since it is a major method to achieve enhanced performance, better fuel efficiency and to minimise greenhouse gas emissions. This technique is being rapidly exploited in other high-value manufacturing-based economies such as Germany and the US. To fabricate hybrid structures, adhesive joining technique attracts more attentions due to their advantage of enabling cost-effective, highly integrated structures with a uniform load distribution and improved damage tolerance. However, there are still some limitations to the use of adhesive joining in hybrid structures. The concept of "hybrid joint" involves a combination of two or more different constituents, with different material properties. To date, there is no well-established theory, which can describe the relationships among the combination of constituents, geometric configuration (microstructures of interfaces and adhesive layer, thickness and overlap of adhesives, etc.) and the overall performance of a hybrid joint. Furthermore, optimization of hybrid adhesive joints is another challenge, since the number of possible effective factors for hybrid adhesive joints is significantly higher than conventional joints and the factors are interactional. In practice, there is no effective optimization method for hybrid joints. Those limitations have resulted in the tendency to "overdesign" hybrid-joining structures. Therefore, the project will focus on a fundamental study of failure mechanisms of a hybrid adhesive joint, and the development of an optimization strategy, which aligns with perspectives from both academia and industry. To achieve the objectives, the project has four main work packages (WPs). In WP1, the failure mechanism of the joint will be analysed using advanced testing facilities, with consideration of the effects of microstructure. Then, in WP2, a DEM model will be developed to describe the mechanical properties of the joint and generate essential date points for optimization. Based on the results of WPs 1 and 2, an optimization algorithm will be developed in WP3 using DoE and Genetic Programming techniques for generating optimal design for hybrid adhesive joints according to design requirements. Finally, case studies will be carried out based on real-world applications for validation. It is intended that the outcomes of the project will substantially overcome the current limitations of the researches in this field and allow a step change in development of high-performance hybrid structures in high value manufacturing.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.compositesb.2021.108894
发表时间: 2021-04-30
期刊: COMPOSITES PART B-ENGINEERING
影响因子: 13.1
作者: [Gu, Zewen, Liu, Yiding, Hou, Xiaonan]
通讯作者: Hou, Xiaonan
DOI: 10.1016/j.tws.2022.109985
发表时间: 2022-11
期刊: Thin-Walled Structures
影响因子: 6.4
作者: [Xing-er Wang;Armin Yousefi Kanani;Kai Pang;Jian Yang-;Jianqiao Ye;X. Hou]
通讯作者: Xing-er Wang;Armin Yousefi Kanani;Kai Pang;Jian Yang-;Jianqiao Ye;X. Hou
Analysis of failure mechanisms of adhesive joints modified by a novel additive manufacturing-assisted method
新型增材制造辅助方法改性粘合接头的失效机制分析
DOI: 10.1016/j.engstruct.2022.115428
发表时间: 2023
期刊: Engineering Structures
影响因子: 5.5
作者: [Kanani A]
通讯作者: Kanani A
DOI: 10.1016/j.engfracmech.2022.108954
发表时间: 2022-11
期刊: Engineering Fracture Mechanics
影响因子: 5.4
作者: [Xing-er Wang;Kai Pang;Xu-Hao Huang;Jian Yang-;Jianqiao Ye;X. Hou]
通讯作者: Xing-er Wang;Kai Pang;Xu-Hao Huang;Jian Yang-;Jianqiao Ye;X. Hou
共 8 条
    国内基金
    海外基金
    Neural Process模型的多样化高保真技术研究
    磁转动超新星爆发中weak r-process的关键核反应
    转运蛋白RCP调控巨噬细胞脂肪酸氧化参与系统性红斑狼疮发病的机制研究
    • 批准号:
      82371798
    • 项目类别:
      面上项目
    • 资助金额:
      49.00万元
    • 批准年份:
      2023
    • 负责人:
      叶俊娜
    • 依托单位:
    富营养化藻分段式水热液化过程营养元素N迁移及低N成油机制