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: Lancaster University
• 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
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT020695%2F1
• 关键词: Failure; process; optimal; design; hybrid

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.

随着新工程材料的开发，混合结构现在被广泛用于通过应用新材料而不是传统材料来实现所需的性能。在汽车，航空航天和国防行业中尤其如此，因为这是提高性能，提高燃油效率并最大程度地减少温室气体排放的主要方法。在德国和美国等其他高价值制造经济体中，这项技术正在迅速利用。为了制造混合结构，粘合剂连接技术吸引了更多的关注，因为它们的优势能够实现具有均匀的负载分布和改善损伤耐受性的具有成本效益的高度集成结构。但是，在混合结构中使用粘合剂连接仍然存在一些局限性。 “混合关节”的概念涉及两个或更多不同的成分，具有不同的材料特性。迄今为止，还没有完善的理论，可以描述成分组成，几何配置（接口的微观结构和粘合剂层的微观结构，粘合剂的厚度和重叠等）以及混合关节的整体性能。此外，混合粘合接头的优化是另一个挑战，因为混合粘合接头的可能有效因素的数量显着高于常规接头，并且这些因素是相互作用的。实际上，没有有效的混合接头优化方法。这些局限性导致了“过度设计”杂交结构的趋势。因此，该项目将集中于对混合粘合剂关节的故障机制的基本研究，以及制定优化策略，该策略与学术界和行业的观点相吻合。为了实现目标，该项目有四个主要的工作包（WPS）。在WP1中，考虑到微观结构的影响，将使用高级测试设施分析关节的故障机制。然后，在WP2中，将开发一个DEM模型来描述关节的机械性能并生成优化的基本日期点。根据WPS 1和2的结果，将使用DOE和基因编程技术在WP3中开发优化算法，根据设计要求为混合粘合接头生成最佳设计。最后，将根据现实世界的应用程序进行验证进行案例研究。目的是，该项目的结果将基本上克服该领域研究的当前局限性，并允许在高价值制造业中高性能混合结构的开发变化。

项目成果

A parametric study of adhesive bonded joints with composite material using black-box and grey-box machine learning methods: Deep neuron networks and genetic programming

• 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

A novel genetic expression programming assisted calibration strategy for discrete element models of composite joints with ductile adhesives

• 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

Insights into the micromechanical response of adhesive joint with stochastic surface micro-roughness

• 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

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

Estimating microscale DE parameters of brittle adhesive joints using genetic expression programming

• DOI: 10.1016/j.ijadhadh.2022.103230
• 发表时间: 2022-07
• 期刊: International Journal of Adhesion and Adhesives
• 影响因子: 3.4
• 作者: Xing-er Wang;Armin Yousefi Kanani;Zewen Gu;Jian Yang-;Jianqiao Ye;X. Hou