Tool Path Optimization for Complex Cavity Milling Based on Reinforcement Learning Approach

Tool Path Optimization for Complex Cavity Milling Based on Reinforcement Learning Approach

In the machining of parts, tool paths for complex cavity milling often have different generation options, as opposed to simple machining features. The different tool path generation options influence the machining time and cost of the part during the machining process. Decision makers prefer tool pa...

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Bibliographic Details
Main Authors: Yi Wan, Wei Xu, Tian-Yu Zuo
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Tool path optimization
cavity milling
path planning algorithm
reinforcement learning
Q-learning algorithm
Online Access:https://ieeexplore.ieee.org/document/10081313/

Internet

https://ieeexplore.ieee.org/document/10081313/

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