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The little mass eccentricity of the workpiece is taken into account when we develop a single-degree-of-freedom regenerative turning chatter dynamic model. This study provides a numerical and analytical analysis of regenerative turning chatter, with a focus on the little mass eccentricity of the workpiece. By using a numerical approach, it is examined how a little mass eccentricity affects the turning chatter bifurcation features in various initial states. It primarily concentrates on applying the multiple scale method to analyze the impact of little mass eccentricity and workpiece angular velocity on the primary resonance of turning chatter. According to the research presented in this paper, mass eccentricity cannot be disregarded throughout the turning process. • In this paper, a turning chatter model affected by little mass eccentricity is established, we mainly analyze the influence of little mass eccentricity on the mechanical characteristics of regenerative turning chatter. • Based on this dynamic model, the influence of little mass eccentricity on the dynamic response of turning chatter with different response types is studied. • Then, the multiple scale method is used to analyze the intrinsic relationship between the amplitude of turning chatter and the little mass eccentricity and workpiece angular velocity. [ABSTRACT FROM AUTHOR]

Complex electrical activities in neuron can induce time-varying electromagnetic field and the effect of various electromagnetic inductions should be considered in dealing with electrical activities of neuron. Based on an improved neuron model, the effect of electromagnetic induction is described by using magnetic flux, and the modulation of magnetic flux on membrane potential is realized by using memristor coupling. Furthermore, additive phase noise is imposed on the neuron to detect the dynamical response of neuron and phase transition in modes. The dynamical properties of electrical activities are detected and discussed, and double coherence resonance behavior is observed, respectively. Furthermore, multiple modes of electrical activities can be observed in the sampled time series for membrane potential of the neuron model. [ABSTRACT FROM AUTHOR]