Feature Points Recognition of Computerized Numerical Control Machining Tool Path Based on Deep Learning

Author:

Hu Pengcheng,Song Yingbo,Zhou Huicheng,Xie Jiejun,Zhang Chenglei

Funder

National Major Science and Technology Projects of China

Major Science and Technology Project of Hainan Province

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Reference43 articles.

1. The modeling, analysis, and application of the in-process machining data for CNC machining;Zhou;Int J Adv Manuf Technol,2019

2. Cross-directional feed rate optimization using tool-path surface;Lee;Int J Adv Manuf Technol,2020

3. Three-axis CNC machining feedrate scheduling based on the feedrate restricted interval identification with sliding arc tube;Su;Int J Adv Manuf Technol,2018

4. A CL surface deformation approach for constant scallop height tool path generation from triangular mesh;Kim;Int J Adv Manuf Technol,2006

5. Deep learning for smart manufacturing: Methods and applications;Wang;J Manuf Syst,2018

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2. A digital solution for CPS-based machining path optimization for CNC systems;Journal of Intelligent Manufacturing;2024-01-16

3. A Lightweight Model for Feature Points Recognition of Tool Path Based on Deep Learning;Lecture Notes in Computer Science;2024

4. Deep learning-based instantaneous cutting force modeling of three-axis CNC milling;International Journal of Mechanical Sciences;2023-05

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