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Five-axis machining time estimation algorithm based on machine characteristics

  • Published:2007-06 Issue: Volume:187-188 Page:37-40
  • ISSN:0924-0136
  • Container-title:Journal of Materials Processing Technology
  • language:en
  • Short-container-title:Journal of Materials Processing Technology

Author:

So B.S.,Jung Y.H.,Park J.W.,Lee D.W.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modelling and Simulation,Ceramics and Composites

Reference8 articles.

1. Integration of tool selection with design. Part 2. Aggregate machining time estimation;Maropoulos;J. Mater. Process. Technol.,2000

2. NC program evaluator for higher machining productivity;Yan;Int. J. Mach. Tools Manuf.,1999

3. Estimation of machining time in high speed milling of prismatic parts;Rodriguez,1999

4. Influence of tool path strategy on the cycle time of high-speed milling;Manuel;Computer-Aided Des.,2003

5. Development of a machining simulator considering machine behavior;Dugas;Proc. IMECHE B: J. Eng. Manuf.,2003

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1. Accurate Prediction of CNC Machining Time for Milling Operations Using Neural Networks;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

2. Accurate prediction of five-axis machining cycle times with deep neural networks using Bi-LSTM;CIRP Journal of Manufacturing Science and Technology;2024-02

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

4. Cycle Time Estimation of Block Overlap Based CNC;Journal of the Korean Society for Precision Engineering;2022-07-01

5. Prompt Estimation of Die and Mold Machining Time by AI Without NC Program;International Journal of Automation Technology;2021-05-05
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