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A feature-based method for NC machining time estimation

  • Published:2013-08 Issue:4 Volume:29 Page:8-14
  • ISSN:0736-5845
  • Container-title:Robotics and Computer-Integrated Manufacturing
  • language:en
  • Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Liu Changqing,Li Yingguang,Wang Wei,Shen Weiming

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference24 articles.

1. A fuzzy expert system for optimizing parameters and predicting performance measures in hard-milling process;Iqbal;Expert Systems with Applications,2007

2. Generic simulation approach for multi-axis machining, part 2: model calibration and feed rate scheduling;Bailey;Journal of Manufacturing Science and Engineering,2002

3. Mechanistic approach to predict real machining time for milling free-form geometries applying high feed rate;Coelho;International Journal of Advanced Manufacturing Technology,2010

4. Time modeling in high-speed machining of mold pocket;Hbaieb;International Journal of Advanced Manufacturing Technology,2010

5. Estimation of NC machining time using NC block distribution for sculptured surface machining;Heo;Robotics and Computer-Integrated Manufacturing,2006

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2. Predictive Model for Machining Time in CNC Lathe Process;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

3. Verification and Learning of Feature Automatic Recognition with Time Prediction for EDM and WEDM;Advances in Science and Technology;2024-02-07

4. A multi-objective modeling and optimization method for high efficiency, low energy, and economy;The International Journal of Advanced Manufacturing Technology;2023-08-08

5. Accurate prediction of machining cycle times and feedrates with deep neural networks using BiLSTM;Journal of Manufacturing Systems;2023-06
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