Print orientation and infill structure optimization for additive manufacturing

拟议的研究将调查并有助于增材制造（AM）设计方法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，然后将其应用于行业应用。在三年的项目期间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的瞬态热分析和优化。这些任务旨在通过开发先进的计算工具和基于基础理论的定制数值模型来解决与将增材制造集成到航空航天部件相关的主要挑战。拟议项目旨在解决使用增材制造的几个挑战，例如固有残余应力，零件变形和支撑结构问题。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（金斯顿，安大略）的研究人员和庞巴迪航空航天部门（多伦多，安大略）的行业专家之间的合作，该项目将侧重于理论进步及其在优化模块中的实际应用。该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.