MECHANICS, DYNAMICS AND CONTROL OF MACHINING SYSTEMS

机械加工是机械零件制造中应用最广泛的工序。昂贵的航空航天零件是通过去除90%的材料从实心块加工而成的。为了缩短加工时间，同时避免废品率，汽车行业大规模生产线的原型成本可达数百万美元。用于定向加工应用的计算机数字控制(CNC)机床的物理试验和样机是昂贵和耗时的。该行业需要高效的加工策略，通过在昂贵的物理试验之前预测制造步骤的物理性能来保持竞争力。这项研究有助于对多轴加工操作及其与机床结构、运动学和控制系统的相互作用进行数学建模。数学模型将用于预测机器设计和制造方案的结果，这将使工程师能够优化制造操作。

Machining is the most widely used operation in manufacturing mechanical parts. Costly aerospace parts are machined from solid blocks by removing 90% of the material. Prototyping costs of mass production lines in the automotive industry can reach a few million dollars in order to shorten the machining time while avoiding scrap rates. The physical trial and prototyping of Computer Numerical Control (CNC) machine tools for targeted machining applications are costly and time consuming. The industry needs productive machining strategies to stay competitive by predicting the physical performance of manufacturing steps ahead of costly physical trials. This research contributes to the mathematical modeling of multi-axis machining operations and their interaction with machine tool structures, kinematics, and control systems. The mathematical models will be used to predict the outcome of the machine design and manufacturing scenarios, which will enable the engineer to optimize manufacturing operations.