TY - JOUR
T1 - Non-linear mechanism in electrical discharge machining process
AU - Wang, Peng
AU - Li, Bohu
AU - Shi, Guoqiang
AU - Lin, Tingyu
AU - Wang, Binxiu
N1 - Publisher Copyright:
© 2018, Springer-Verlag London Ltd., part of Springer Nature.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - Electrical discharge machining (EDM) is an advanced non-traditional manufacturing technology that has many advantages over other machining methods. Many papers have discussed the machining mechanism and modeling of the EDM process. However, previous mechanism models have mainly been linear, which contradicts their precondition that EDM is a stochastic process. In this paper, a non-linear mechanism model is proposed for the EDM process. A threshold condition that leads to chaos is calculated using the Melnikov theory. The theoretical results indicate that the EDM system can generate varied chaos in the evolution of electrical discharge. To verify this conclusion, validation experiments are implemented. Several sets of complete EDM processes’ real-time series are analyzed by multiple chaotic numerical criteria, including power spectrum analysis, principle component analysis (PCA), correlation dimension analysis, and Lyapunov exponent analysis. The experimental results provide further qualitative and quantitative evidence that a complete EDM process has dynamical chaotic characteristics.
AB - Electrical discharge machining (EDM) is an advanced non-traditional manufacturing technology that has many advantages over other machining methods. Many papers have discussed the machining mechanism and modeling of the EDM process. However, previous mechanism models have mainly been linear, which contradicts their precondition that EDM is a stochastic process. In this paper, a non-linear mechanism model is proposed for the EDM process. A threshold condition that leads to chaos is calculated using the Melnikov theory. The theoretical results indicate that the EDM system can generate varied chaos in the evolution of electrical discharge. To verify this conclusion, validation experiments are implemented. Several sets of complete EDM processes’ real-time series are analyzed by multiple chaotic numerical criteria, including power spectrum analysis, principle component analysis (PCA), correlation dimension analysis, and Lyapunov exponent analysis. The experimental results provide further qualitative and quantitative evidence that a complete EDM process has dynamical chaotic characteristics.
KW - Chaotic analysis
KW - Electrical discharge machining (EDM)
KW - Mechanism model
KW - Melnikov
KW - Non-traditional manufacturing
UR - https://www.scopus.com/pages/publications/85046140555
U2 - 10.1007/s00170-018-1888-y
DO - 10.1007/s00170-018-1888-y
M3 - 文章
AN - SCOPUS:85046140555
SN - 0268-3768
VL - 97
SP - 1687
EP - 1696
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 5-8
ER -