Print orientation and infill structure optimization for additive manufacturing

拟议的研究将调查和促进加法制造(AM)设计途径和方法的发展和进步。最初的目标是超越当前算法和商业软件包的能力，稍后将它们应用到行业应用中。在为期三年的项目中，将完成三个主要任务：(1)填充结构优化，(2)打印方向优化，(3)金属AM的瞬变热分析和优化。这些任务寻求通过开发先进的计算工具和基于基本理论的定制数值模型来解决将加法制造整合到航空航天部件中的主要挑战。拟议的项目旨在解决使用附加制造的几个挑战，如固有残余应力、零件变形和支撑结构问题。所有这三项任务都涉及重新设计组件或系统，以解决现实世界的行业挑战。通过皇后大学(安大略省金斯敦)的研究人员和庞巴迪航空航天部门(安大略省多伦多)的行业专家之间的合作，该项目将专注于理论进步及其对优化模块的实际应用。这一合作伙伴关系将包括一个为期三年的项目，其中包括一名博士后研究员和三名全日制研究生。

The proposed research will investigate and contribute in the development and advancement of additive manufacturing (AM) design approaches and methodologies. The initial goal will be to exceed the capability of current algorithms and commercial software packages, later implementing them into industry applications. Three main tasks will be completed during the three-year project: (1) Infill structure optimization, (2) Print orientation optimization, and (3) Transient thermal analysis of metal AM and optimization. These tasks seek to address the major challenges associated with integrating additive manufacturing into aerospace components by developing advanced computational tools and customized numerical models based on fundamental theories. The proposed project aims to solve several challenges with using additive manufacturing such as inherent residual stresses, part distortion, and support structure issues. All three tasks involve the redesign of components or systems to solve a real-world industry challenge. Through the partnership between researchers at Queen's University (Kingston, Ontario) and industry experts at Bombardier's aerospace division (Toronto, Ontario), the project will focus on theoretical advancements and their practical application to optimization modules. The partnership will feature a three-year project with a post-doctoral fellow and three full-time graduate students.