Development of a structured approach to evaluate and optimize resin infusion molding

复合材料提供了强度重量比、耐用性和节省成本的制造机会的独特组合。这些独特的性能和制造特性解释了为什么主要的航空航天公司，如波音和空客，已经完全采用了这项技术。因此，全球航空航天复合材料市场对复合材料的需求在过去十年中持续增长，预计2019年将增长至47亿美元。 为了保持其市场份额，大型航空航天公司的供应商，如ASCO Aerospace Canada，需要迅速采用这项新技术。在过去的30年里，ASCO Aerospace Canada在金属飞机结构的组装和加工方面发展了广泛的能力，但尚未在复合材料技术方面建立类似的专业知识。ASCO Aerospace Canada希望将其服务组合扩展到使用树脂灌注工艺制造复杂的整流罩结构，并希望提高他们对该工艺技术的了解。ASCO加拿大航空航天公司已请求不列颠哥伦比亚省大学的复合材料研究网络提供援助，以便在这一领域提供指导。本项目的目标是创建和验证一个工作流程，以评估和优化树脂灌注工艺的概念水平。该工作流程将提供一种方法，通过该方法，可以使用过程模拟，实验和常识的实用混合物来优化选择材料和工艺选项。该综合方法将使用复合材料工艺模拟和决策的最新技术来评估材料和工艺选择的性能和成本。

Composite materials offer a unique combination of strength to weight ratios, durability, and cost-saving manufacturing opportunities. These unique performance and manufacturing properties explain why the main aerospace companies such as Boeing and Airbus, have fully adopted this technology. As a result, the demand for composite materials in the global aerospace composite market has recorded a continuous growth over the past decade and is forecasted to grow to $4.7 billion in 2019. To maintain their market share, suppliers to the large aerospace companies, such as ASCO Aerospace Canada, need to quickly embrace this new technology. Over the past 30 years, ASCO Aerospace Canada has developed extensive capabilities in the assembly and machining of metallic aircraft structures but has not yet established a similar expertise with composite material technologies. ASCO Aerospace Canada would like to extend its service portfolio to the manufacturing of complex fairing structures using resin infusion process and wants to improve their knowledge of this process technology. ASCO Aerospace Canada has requested the assistance of the Composites Research Network (CRN), at the University of British Columbia, to offer guidance in this field. The goal of this project is to create and validate a workflow to evaluate and optimize resin infusion processes at the conceptual level. The workflow will provide a methodology by which material and process options can be optimally selected using a pragmatic mixture of process simulation, experiments, and common knowledge. The integrated methodology will assess the performance and costs of material and process options using the state of the art in composites process simulation and decision-making.