An interfacial imperfection coupling model is proposed to characterize the imperfect interface in a bi-layered multiferroic cylinder by extending the generalized linear spring model of the uncoupled imperfect interface. Based on the model, fracture analysis is performed on the multiferroic cylinder containing intra-layer cracks. Parametric studies on the stress intensity factor (SIF) yield three main conclusions: (a) the mechanical imperfection can enhance the SIF independently; (b) the magnetic or electric imperfection can reduce the SIF only through its coupling with the mechanical imperfection; and (c) the magneto-electric imperfection coupling does not affect the SIF in any case.
Abstract. Magneto-rheological fluid dual-clutch transmission (MRDCT) uses Magneto-rheological fluid (MRF) to replace the traditional friction to transmit torque. By controlling the current in the coil of the dual clutch, the magnetic flux density is changed, and the separation and combination of the dual clutch is realized. Based on the characteristics of MRF and MFC, MRDC is proposed. The principle of MRDC is introduced. The torque transmission models of plate-style and cylindrical MRDC are established and the torque transmission formulas are driven.
Unmanned amphibious platform (UAP in short) is a complex nonlinear system. It shows plenty of dynamic properties, such as parameter uncertainty and large time-lag, when controlled, which hinders the development of the approaches of exactly course tracking. Motivated by adaptive fuzzy sliding mode control method, a new course tracking method is proposed in this paper. Firstly, UAP's manipulating response function is established, and then the function is transformed to SISO system based on diffeomorphism. Secondly, course tracking method is established based on adaptive fuzzy sliding mode control method, and its global stability is testified theoretically under the favor of Lyapunov method. In the end, simulation is carried out based on a UAP, and the result illustrates that the approach is stable to disturbances and uncertainties.
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