Development and analysis of an online tool condition monitoring and diagnosis system for a milling process and its real-time implementation

논문상세정보

' Development and analysis of an online tool condition monitoring and diagnosis system for a milling process and its real-time implementation' 의 참고문헌

  • Wear measurement of cutting tools by computer vision
    K. B. Perdersen International J. of Machine Tools and Manufacture 30 1 131-139 [1990]
  • Tool-Wear Monitoring during Micro-End Milling using Wavelet Packet Transform and Fisher's Linear Discriminant
    홍영선 International Journal of Precision Engineering and Manufacturing 17 7 845-855 [2016]
  • Tool wear monitoring of micro-milling operations
    M. Malekian J. of Materials Processing Technology 209 10 4903-4914 [2009]
  • Tool wear condition monitoring in drilling operations using Hidden Markov models(HMMs)
    H. M. Ertunc International J. of Machine Tools and Manufacture 41 9 1364-1384 [2001]
  • Tool Wear Analysis on Coated and Uncoated Carbide Tools in Inconel Machining
    박경희 International Journal of Precision Engineering and Manufacturing 16 7 1639-1645 [2015]
  • Smart Manufacturing: Past Research, Present Findings, and Future Directions
    강형석 International Journal of Precision Engineering and Manufacturing-Green Technology 3 1 111-128 [2016]
  • Process monitoring in precision cylindrical traverse grinding of slender bar using acoustic emission technology
    Jianjian Wang Journal of Mechanical Science and Technology 31 2 859-864 [2017]
  • Prediction of tool life in end milling by response surface methodology
    M. Alauddin J. of Material Processing Technology 71 456-465 [1997]
  • Optical flank wear monitoring of cutting tools by image processing
    J. U. Jeon Wear 127 2 207-217 [1988]
  • Modeling and Parameter Optimization for Cutting Energy Reduction in MQL Milling Process
    장덕용 International Journal of Precision Engineering and Manufacturing-Green Technology 3 1 5-12 [2016]
  • Milling tool wear diagnosis by feed motor current signal using an artificial neural network
    Mehrdad Nouri Khajavi Journal of Mechanical Science and Technology 30 11 4869-4875 [2016]
  • Machine Learning-Based Imaging System for Surface Defect Inspection
    박제강 International Journal of Precision Engineering and Manufacturing-Green Technology 3 3 303-310 [2016]
  • Flank wear prediction in drilling using back propagation neural network and radial basis function network
    S. S. Panda Applied Soft Computing 8 858-871 [2008]
  • Feasibility of tool condition monitoring on micro-milling using current signals
    T. I. Ogedengbe AU J. of Technology 14 161-172 [2011]
  • Estimation of tool wear in orthogonal cutting using the finite element analysis
    Y. -C. Yen J. of Materials Processing Technology 146 1 82-91 [2004]
  • Estimation of tool wear during CNC milling using neural network-based sensor fusion
    N. Ghosh Mechanical Systems and Signal Processing 21 466-479 [2007]
  • Development of tool condition monitoring and diagnosis system for microdrilling process
    J. Nam - [2016]
  • Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques
    P. Bhattacharyya Mechanical Systems and Signal Processing 21 2665-2683 [2007]
  • Control with Micro Precision in Abrasive Machining through the Use of Acoustic Emission Signals
    Fernando Torres International Journal of Precision Engineering and Manufacturing 16 3 441-449 [2015]
  • Condition Monitoring and Control for Intelligent Manufacturing
    L. Wang - [2006]
  • An experimental investigation on monitoring of crater wear in turning using ultrasonic technique
    D. Dinakaran International J. of Machine Tools and Manufacture 49 1234-1237 [2009]
  • An artificial neural networks based in process tool wear prediction system in milling operations
    J. C. Chen International J. of Advanced Manufacturing Technology 25 5 427-434 [2005]
  • A wavelet packet based sifting process and its application for structural health monitoring
    A. Shinde Structure Health Monitoring 4 2 153-170 [2005]
  • A summary of method applied to tool condition monitoring in drilling
    E. Jantunen International J. of Machine Tools and Manufacture 42 997-1010 [2002]
  • A study on tool state monitoring system for tool wear in CNC end milling using hybrid approach to cutting force regulation
    K. J. Lee [2004]
  • A study on tool condition monitoring and diagnosis of microgrinding process based on feature extraction from force data
    P. H. Lee Proceeding of the Institution of Mechanical Engineers Part B : J. of Engineering Manufacture 229 1472-1478 [2015]
  • A cutting power model for tool wear monitoring in milling
    H. Shao International J. of Machine Tools and Manufacture 44 1503-1509 [2004]