灵活性(工程)
机械加工
过程(计算)
补偿(心理学)
适应性
国家(计算机科学)
机械工程
制造工程
工程类
刚度
计算机科学
班级(哲学)
数控
工程制图
控制工程
人工智能
算法
心理学
生态学
统计
数学
结构工程
精神分析
生物
操作系统
作者
Wenbo Wang,Qiang Guo,Zhibo Yang,Yan Jiang,Jinting Xu
标识
DOI:10.1016/j.rcim.2022.102436
摘要
• The challenges faced by milling robots in machining operations are systematically reviewed. • The performance indexes commonly used to evaluate machining systems are highlighted. • The differences between regenerative and modal coupling chatter are compared. • Robotic processing stability is analyzed from two aspects of posture and cutting condition optimization. • Future trends of milling robots and problems to be solved are prospected. Milling refers to a class of material processing methods that relies on a high-speed rotating milling cutter removing extra material to get desired shapes and features. Being distinct from conventional material removal techniques, like CNC machining, robotic milling has the benefits of lower cost, higher flexibility, better adaptability, etc. Therefore, robotic milling has attracted a large amount of researchers’ interest and become an important material-removing way in the machining of complex parts. Trying to present a comprehensive and systematic review on the robotic milling of complex components, this paper elaborates the history and state of the art on stiffness, dynamics, posture planning, chatter, and compensation in the robotic milling process. Furthermore, future potential research topics about robotic milling are also discussed.
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