An Integrated Digital Framework for Manufacturing and Design of Composite Structures under Crash and Impact Loading

用于碰撞和冲击载荷下复合结构制造和设计的集成数字框架

• 批准号: RGPIN-2019-06906
• 负责人: Vaziri, Reza
• 金额: $ 3.35万
• 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: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=689214
• 关键词: Integrated; Digital; Framework; Manufacturing; Design

High performance polymer matrix composites have increasingly become the material of choice for primary load bearing structures in aerospace (Boeing 787, Airbus 350, Bombardier C-series), automotive (BMW i3 and i8), energy (wind turbines) and defence (personal protection) industries. To realize the full potential of these advanced materials and reduce the time and cost required to introduce them in various design applications, it is critical to have science-based computational tools that can be used reliably and efficiently to predict the behaviour of the composite structure to loads that they are expected to sustain in-service. While significant progress has been made over the last couple of decades in structural analysis and design technologies for composite materials, the prediction of their response to extreme loading conditions such as crash and impact events that impart significant damage remains an elusive and challenging proposition. ******The manufacturing process of polymeric composites generally entails stacking of sheets of unidirectional or woven fibres that are pre-impregnated with resin (or pre-pregs) at various orientations over a tool of desired shape and then subjecting the entire assembly to a controlled cycle of temperature and pressure inside an autoclave or oven. This process results in the curing or solidification of the composite part during which the polymer matrix develops stiffness. The mismatch of the properties of the fibre and the resin at the micro-level combined with the layered and anisotropic nature of composite materials at the macro-level inevitably lead to generation of defects (e.g. residual stresses, spring-in, fibre misalignments, wrinkles, etc.) in the final manufactured component. Quantification of these as-manufactured properties (both geometrical and material) and their incorporation in the structural analyses is therefore a vital design requirement for composite structures where the material and the finished structure are built in one step. ******Building on the previous body of work developed by the applicant and his team of collaborators and students in the two core areas of process and damage modelling of composite materials, the aim of this research is to create a computational (digital) platform that integrates the manufacturing and structural simulations of composites to predict their response to crash and impact loading and apply it to typical composite material systems that are currently being used in aerospace and defence industries. The proposed research takes advantage of ongoing collaborations with leading international institutes and will lead to training of 4 Ph.D. and 2 M.A.Sc. students who will be supported partially or fully by this NSERC DG as well as several undergraduate students, post-doctoral fellows, and visiting students from the collaborating institutes who will be supported from other sources of funding. **

高性能聚合物基复合材料已日益成为航空航天（波音787、空客350、庞巴迪C系列）、汽车（宝马i3和i8）、能源（风力涡轮机）和国防（个人防护）行业主要承重结构的首选材料。为了实现这些先进材料的全部潜力，并减少在各种设计应用中引入它们所需的时间和成本，关键是要有基于科学的计算工具，可以可靠有效地用于预测复合材料结构的行为，以承受预期的载荷。虽然在过去的几十年里，复合材料的结构分析和设计技术取得了重大进展，但预测它们对极端载荷条件（如碰撞和冲击事件）的响应仍然是一个难以捉摸和具有挑战性的命题。** 聚合物复合材料的制造过程通常需要将单向或编织纤维的片材堆叠在所需形状的工具上的各种取向上，所述片材用树脂（或预浸料）预浸渍，然后使整个组件在高压釜或烘箱内经受温度和压力的受控循环。该过程导致复合材料部件的固化或凝固，在此期间聚合物基质形成刚度。纤维和树脂在微观层面上的性能不匹配，以及复合材料在宏观层面上的分层和各向异性性质，不可避免地导致缺陷的产生（例如残余应力、弹入、纤维错位、褶皱等）。在最终制造的组件中。因此，对这些制造性能（几何和材料）进行量化并将其纳入结构分析是复合材料结构的重要设计要求，其中材料和成品结构是一步建成的。** 基于申请人及其合作者和学生团队在复合材料的过程和损伤建模两个核心领域开发的先前工作，这项研究的目的是建立一个计算（数字）该平台集成了复合材料的制造和结构模拟，以预测其对碰撞和冲击载荷的响应，并将其应用于典型的复合材料系统目前用于航空航天和国防工业。拟议的研究利用与领先的国际研究机构正在进行的合作，并将导致4个博士学位的培训。和2个硕士谁将部分或全部由这个NSERC DG以及几个本科生，博士后研究员和访问学生从合作机构谁将从其他资金来源的支持的学生。 **