A new regenerator matrix design that improves the efficiency of a Stirling engine has been developed in a numerical study of the existing SM5 Stirling engine. A new, detailed, one-dimensional Stirling engine model that delivers results in good agreement with experimental data was used for mapping the performance of the engine, for mapping the effects of regenerator matrix temperature oscillatio...

The problem of fault detection for stochastic Markovian jump system is considered. The system under consideration involves discrete and distributed time-varying delays, Itô-type stochastic disturbance, and different system and delay modes. The aim of this paper is to design a fault detection filter such that the fault detection system is stochastically stable and satisfies a prescribed H∞ distu...

Abstract. Simulating numerically the sound radiation of a rolling tire requires the solution of a very large and sparse gyroscopic eigenvalue problem. Taking advantage of the automated multi– level substructuring (AMLS) method it can be projected to a much smaller gyroscopic problem, the solution of which however is still quite costly since the eigenmodes are non–real and complex arithmetic is ...

A two-dimensional multi-phase lag model in the context of generalized thermoelasticity is established for an isotropic half-space medium. vector-matrix differential equation obtained from governing equations using normal mode analysis. The eigenvalue approach applied to obtain solutions. temperature-dependent displacements, stresses, strains are calculated numerically and represented graphicall...

in this paper, load and buckling mode of a smart column are presented. the theoretical model is a three-layer piezoelectric composite beam that behaves as an axial actuating mechanism. this actuator consists of an elastic core sandwiched between two piezoelectric active outer layers. the piezoelectric layers are polarized transversely, i.e., the polarization vector is parallel to the applied el...

Control chart pattern recognition is the method to realize quality online monitoring and diagnosis of production process. For the conditions that the number of existing normal mode products is much higher than the abnormal ones during the actual manufacturing process, we proposed a method about WSVM (Weighted Support Vector Machines) for dynamic process of abnormal pattern recognition based on ...