Autonomous Identification of Machining Dynamics for Intelligent Vibration Suppression in Milling Operations

机械加工是当今制造业中最常用的工艺。据估计，2019年全球机械加工行业的价值约为3500亿美元，复合年增长率约为7%。机加工过程中的颤振是一个战略性问题，它会降低过程生产率。颤振是指加工过程中的不稳定振动，必须不惜一切代价避免，否则会损坏机床和加工表面。目前的颤振避免方法要么需要昂贵的试验，要么需要长时间的机器停机时间和昂贵的振动测试。此外，目前的方法与越来越多地被采用以提高生产力的智能和自主制造系统不兼容。结合维多利亚大学和慕尼黑技术大学的理论和技术能力，该项目将开发一种新的颤振避免方法，该方法是自主的，不需要机器停机，并且可以被纳入现代网络物理机床。拟议的研究对加拿大制造业的好处是降低生产成本和环境足迹。设想的自主颤振避免系统将减少制造周期时间，机器停机时间，以及由于加速刀具磨损和破损或报废零件而造成的材料浪费。这些因素是加工过程的成本和环境足迹的主要贡献者，拟议项目将减少这些因素。这项研究促成的国际合作将有助于加拿大制造业的数字化，该行业雇用了170多万加拿大人，支付的工资比加拿大任何其他行业都高。

Machining is the most used process in today's manufacturing. The global machining industry was estimated to be worth about $350 billion in 2019 with the Compound Annual Growth Rate estimated at about 7%. Chatter during machining processes is a strategic problem that undermines process productivity. Chatter refers to unstable vibrations during machining, which must be avoided at all costs otherwise it damages the machine tool and the machined surface. Current chatter avoidance methods either require costly trials or long machine downtimes and expensive vibrations tests. Besides, the current methods are incompatible with intelligent and autonomous manufacturing systems that are increasingly being adopted to increase productivity. Combining the theoretical and technological competencies of the University of Victoria and the Technical University of Munich, this project will develop a new approach to chatter avoidance that is autonomous, does not require machine downtime, and can be incorporated into the modern cyber-physical machine tools. The benefits of the proposed research to the Canadian manufacturing industry are in reducing their production cost and environmental footprint. The envisioned autonomous chatter avoidance system will reduce manufacturing cycle-time, machine downtime, and material waste due to accelerated tool wear and breakage or scrapped parts. These factors are major contributors to the cost and environmental footprint of machining processes, which will be reduced by the proposed project. The international collaboration enabled by this research will contribute to the digitization of the Canadian manufacturing industry, which employs more than 1.7 million Canadians and pays more in salaries than any other sector in Canada.