Artificial Neural Networks Approach for Ductility Prediction of Copper Cold Spray Laser Heat Treated Coatings

人工神经网络方法预测铜冷喷涂激光热处理涂层的延展性

• 批准号: 567502-2021
• 负责人: Jodoin, Bertrand
• 金额: $ 2.19万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=723509
• 关键词: Artificial; Neural; Networks; Approach; Ductility

There is over 3 million nuclear used fuel bundles (UFBs) in Canada as by-products of electricity production by nuclear power plants and over 120,000 UFBs will be generated per year going forward. The goal of the partnership is to use in a synergetic approach existing knowledge and resources available at uOttawa and NRC to support The Nuclear Waste Management Organization (NWMO) in its quest to use cold spray (CS) additive manufacturing (CSAM) in the development of innovative used fuel container (UFC). The project is part of the NWMO extensive research and development program that will ensure the safe storage of UFBs in UFCs in deep geological repositories, replacing short-term above ground storage sites. Copper coating are to be used to cover the weld closure zone (welded junction between the main UFC body and the closing end cap) for corrosion protection of the UFCs. The project will allow achieving the coating ductility required to comply with external forces that it could encounter over the years without resulting in cracks and leaks of the radioactive material outside the UFCs. This will be achieved through the development of a laser heat treatment that will be designed using a trained neural network model able to correlate the laser parameters to the resulting ductility (input-output). In addition to the creation of new fundamental knowledge/training of highly qualified personnel, the project specific outcome will be the development of a new fast laser heat treatment (HT) on thick CSAM copper coatings (used on UFCs) to ensure a minimum ductility of 10% for safe usage. The work will have a direct impact on the UFC design viability proposed by NWMO for deep ground repository. Furthermore, it will create new knowledge on laser HT that can be adapted to industrial fields important to Canada such as aerospace and automotive.

加拿大有超过300万个核用过的燃料束（UFB）作为核电厂发电的副产品，未来每年将产生超过120，000个UFB。该合作伙伴关系的目标是以协同方式利用uOttawa和NRC现有的知识和资源，支持核废物管理组织（NWMO）寻求使用冷喷涂（CS）增材制造（CSAM）开发创新的二手燃料容器（UFC）。 该项目是西北气象组织广泛研究和开发计划的一部分，该计划将确保在深层地质储存库中安全储存UFC中的UFB，取代短期的地面储存地点。铜涂层用于覆盖焊接封闭区（UFC主体和封闭端盖之间的焊接接头），以保护UFC的腐蚀。该项目将允许实现所需的涂层延展性，以符合多年来可能遇到的外力，而不会导致UFC外部的放射性材料出现裂缝和泄漏。这将通过开发激光热处理来实现，该激光热处理将使用能够将激光参数与所得延展性（输入-输出）相关联的经训练的神经网络模型来设计。除了创造新的基础知识/培训高素质的人员外，该项目的具体成果将是在厚CSAM铜涂层（用于UFC）上开发新的快速激光热处理（HT），以确保安全使用的最低延展性为10%。这项工作将对西北气象组织提出的地下深层处置库UFC设计可行性产生直接影响。 此外，它将创造新的激光热处理知识，可适用于加拿大重要的工业领域，如航空航天和汽车。