Dynamic modeling and optimal trajectory planning for multi-axis contour machining for aerospace parts

该项目的目标是： - 2½轴、3轴和5轴加工的新的时间最佳轨迹生成算法 - 快速识别技术，用于在生产机械的最短停机时间内构造数控机床驱动器的虚拟模型; - 柔性多体动力学（FMBD）建模方法，用于建立高精度的自下而上的多轴机床虚拟样机（VP），可用于工艺优化。 开发完成后，这些技术将以新模块和模型的形式转让给行业合作伙伴Pratt & Whitney Canada（P&WC），这些模块和模型可用于商用软件Virtual CNC（VCNC）。这将使P&WC的工程师和研究人员能够在高速轮廓加工过程中准确模拟和优化多轴机床的动态响应，从而使具有复杂几何形状的航空航天零件能够在更短的周期内生产并提高生产率。通过使P&WC能够以更高的生产率生产燃气涡轮机发动机的安全关键部件，拟议的研究将有助于加强加拿大在高科技航空航天制造业的领导地位。 所开发的技术将是普遍的，因为它们也可以应用于提高航空航天、汽车、电子、模具和生物医学设备行业中生产的其他复杂零件的多轴制造操作的生产率，这些零件需要沿着预定义的轮廓沿着高速高精度运动。总的来说，该项目将通过帮助培训两名博士生（PhD），一名博士后研究员（PDF）和一名研究助理（RA）来支持滑铁卢大学（UW）的轨迹优化，系统识别和动态建模的前沿研究。

This project targets the development of: - New time-optimal trajectory generation algorithms for 2½ -, 3-, and 5-axis machining operations; - Rapid identification techniques, for constructing virtual models of CNC machine tool drives in minimum downtime to production machinery; - Flexible Multi-Body Dynamic (FMBD) modeling methods, to build highly accurate bottom-up Virtual Prototypes (VP) of multi-axis machines, which can be used for process optimization. As developed, these technologies will be transferred to the industry partner, Pratt & Whitney Canada (P&WC) in the form of new modules and models that can be used inside commercially available software, Virtual CNC (VCNC). This will enable P&WC engineers and research personnel to accurately simulate and optimize the dynamic response of multi-axis machine tools during high speed contouring operations, thus enabling aerospace parts with complex geometry to be produced in shorter cycle time and increased productivity. By enabling P&WC to produce safety-critical components of gas turbine engines at higher productivity rates, the proposed research will help strengthen Canada's leadership in high-tech aerospace manufacturing. The technologies developed will be pervasive in the sense that they can also be applied to boost the productivity of multi-axis manufacturing operations for other complex parts produced in aerospace, automotive, electronics, die and mold, and biomedical device industries, for which high-speed high-accuracy motion along pre-defined contours is required. Overall, the project will support cutting edge research on trajectory optimization, system identification, and dynamic modeling at the University of Waterloo (UW), by helping train two doctoral students (PhD's), one post-doctoral fellow (PDF), and one research associate (RA).