Discovery of Governing Laws in Real Multiphysics, Multicoupled Systems in Materials Processing

发现材料加工中真实多物理场、多耦合系统的控制定律

• 批准号: RGPIN-2019-05981
• 负责人: Mendez, Patricio
• 金额: $ 3.35万
• 依托单位: University of Alberta
• 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=689256
• 关键词: Discovery; Governing; Laws; Real; Multiphysics

The proposed program will bridge fundamental concepts with manufacturing applications and will also bridge academic HQP with industrial counterparts. As done in previous years, the HQP and beneficiaries from this work will represent the diverse composition of Canadian society. Materials processing, and its application to manufacturing involves people from all walks of life, united by the common thread of a final product. In welding, the fundamental aspects require understanding of heat transfer, fluid flow, electromagnetics, plasmas, metallurgy, and solid mechanics (all are areas in which the PI has an established track record). The HQP involved in this discovery program will master these concepts, and bring them to industry as future employees, as products, or through knowledge transfer. The people closest to the applications are the welders and welding technologists, with a high proportion of indigenous, women, and visible minorities. The PI has hosted welders, welding students, and other interested members of society as part of the previous discovery proposal. During these visits, the HQP learned how to communicate their learning and findings, and the non-academic members of the project learned the “why” behind many of their practical observations. Perhaps most importantly, barriers and prejudices were replaced by appreciation of complimentary approaches to the same end; in this example, welding of real components.***The academic aspect of the proposed program will further the significant theoretical and experimental progress made in the previous Discovery grant, which have been published and received prestigious international awards. The methodologies developed will be of direct help in relating processing, structure, and properties to each other at a quantitative level, with an emphasis on welding, but also including other materials processes such as casting, and metalworking (hot or cold forging, rolling, etc.). Activities in this program will use deep mathematical concepts and a thorough understanding of physics of materials processes to produce reliable guidelines and heuristics that can be used by practitioners in industry and by other researchers. The education objective of this program is to expose future HQP to real-life processes that are very difficult to idealize, and to teach them to distill the essential features of these processes to make quantitative predictions. Beyond the traditional transmission of knowledge through peer-reviewed publications and the classroom, current efforts will be maintained to disseminate learning using the internet by uploading videos and raw data, and social media.***The methodologies to be employed are a combination of mathematical modeling and experimental measurements to generate general design rules from fundamental principles. The PI already counts with all necessary software, experimental facilities, and theoretical foundation to develop and bring to practice the methodologies proposed.**

拟议的计划将基本概念与制造应用联系起来，并将学术 HQP 与工业公斤联系起来，正如前几年所做的那样，HQP 和这项工作的受益者将代表加拿大材料加工及其在制造领域的应用。来自各行各业的人们，通过最终产品的共同点团结在一起 在焊接中，基本方面需要了解传热、流体流动、电磁学、等离子体、冶金和固体力学（所有这些都是 PI 擅长的领域）。一个参与该发现计划的 HQP 将掌握这些概念，并将其作为未来的员工、产品或通过知识转移带入行业。最接近应用的人员是具有较高水平的焊工和焊接技术人员。作为先前发现提案的一部分，PI 接待了焊工、焊接学生和其他感兴趣的社会成员。该项目的非学术成员了解了他们许多实际观察背后的“原因”，也许最重要的是，障碍和偏见被对达到同一目的的互补方法的欣赏所取代。***拟议项目的学术方面将进一步推进先前的 Discovery 资助所取得的重大理论和实验进展，这些进展已发表并获得了享有盛誉的国际奖项。所开发的方法将直接帮助将加工、结构和特性与每个项目相关联。其他在数量层面上，重点是焊接，还包括其他材料工艺，例如铸造和金属加工（热锻或冷锻、轧制等）。该计划中的活动将利用深入的数学概念和对材料工艺物理学的透彻理解来产生可靠的指南和启发法。该项目的教育目标是让未来的 HQP 接触到现实生活中很难理想化的过程，并教他们提炼出这些过程的基本特征，以供行业从业者和其他研究人员使用。定量预测。传统的知识传播是通过同行评审的出版物和课堂进行的，目前将继续努力通过上传视频和原始数据以及社交媒体来利用互联网传播学习成果。***所采用的方法是数学建模和PI 已经掌握了所有必要的软件、实验设施和理论基础，以开发和实践所提出的方法。**