MECHANICS, DYNAMICS AND CONTROL OF MACHINING SYSTEMS

机械加工系统的力学、动力学和控制

• 批准号: RGPIN-2016-03702
• 负责人: Altintas, Yusuf
• 金额: $ 3.35万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638397
• 关键词: MECHANICS; DYNAMICS; CONTROL; MACHINING; SYSTEMS

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.

机械加工是制造机械零件中使用最广泛的操作。昂贵的航空航天零件是从固体块通过去除90%的材料加工而成的。汽车工业中大规模生产线的原型成本可能达到数百万美元，以缩短加工时间，同时避免废品率。用于目标加工应用的计算机数控（CNC）机床的物理试验和原型制作成本高且耗时。该行业需要高生产率的加工策略，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。这项研究有助于多轴加工操作的数学建模及其与机床结构，运动学和控制系统的相互作用。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。