Tool Path Optimization for Complex Cavity Milling Based on Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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

Published:2023 Issue: Volume:11 Page:66793-66807
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wan Yi¹^ORCID,Xu Wei²^ORCID,Zuo Tian-Yu³

Affiliation:

1. School of Environmental Science, Nanjing Xiaozhuang University, Nanjing, China

2. School of Mechanical and Electrical Engineering, Sanjiang University, Nanjing, China

3. School of Automation, Nanjing University of Information Science and Technology, Nanjing, China

Funder

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10081313.pdf?arnumber=10081313

Reference41 articles.

1. An ACO-Based Tool-Path Optimizer for 3-D Printing Applications

2. A Markov Decision Process Approach to Dynamic Power Management in a Cluster System

3. A novel integrating between tool path optimization using an ACO algorithm and interpreter for open architecture CNC system

4. Markov decision processes

5. Tool Path Generator for Bone Machining in Minimally Invasive Orthopedic Surgery

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1. A review of 5-axis milling techniques for centrifugal impellers: Tool-path generation and deformation control;Journal of Manufacturing Processes;2024-12

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