Light Alloy Development using Machine-Learning Based Alloy Design Tools

使用基于机器学习的合金设计工具开发轻合金

• 批准号: RGPIN-2022-04767
• 负责人: Pekguleryuz, Mihriban
• 金额: $ 2.84万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=761094
• 关键词: Light; Alloy; Development; using; Machine

The aim of this proposed research is the acceleration light alloy (magnesium and aluminum) development using artificial intelligence (AI). The protection of the environment and the choice of bio-compatible solutions for our problems have immediate urgency. The environmental, societal and health benefits of light metals encompass vehicle-weight reduction to ensure fuel economy, reduced green house gases, improved efficiency, and increased range of electrical vehicles. Bio-degradable bio-compatible magnesium implants can reduce repeat interventions especially in pediatric patients alleviating healthcare costs and suffering. Magnesium solid fuel can contribute to the green energy of our globe. Unfortunately, limited resources for materials research and development result in slow progress towards these goals. Artificial intelligence is now poised to accelerate the development of materials that will contribute to the health of our environment.

这项研究的目的是利用人工智能（AI）加速轻合金（镁和铝）的开发。保护环境和选择生物相容的解决方案来解决我们的问题刻不容缓。轻金属的环境、社会和健康效益包括减轻车辆重量以确保燃油经济性、减少温室气体、提高效率和增加电动汽车的续航里程。可生物降解的生物相容性镁植入物可以减少重复干预，尤其是对于儿科患者，从而减轻医疗费用和痛苦。镁固体燃料可以为地球的绿色能源做出贡献。不幸的是，材料研究和开发的资源有限，导致这些目标进展缓慢。 人工智能现在准备加速材料的开发，为我们的环境健康做出贡献。