A variable reluctance machine (VRM) has been proven to be an outstanding candidate for electric vehicle (EV) applications. This paper introduces a new double-stator, 12/14/12-pole three-phase hybrid-excited modular variable reluctance machine (MVRM) for EV applications. In order to demonstrate the superiorities of the proposed structure, the static torque characteristics and dynamic performance...

this paper provides a comparison of the maximum inter-story drifts and tip acceleration of both a 16 and 30 stories building each with different structural systems; hybrid r.c moment frame with shear walls and hybrid steel frame with shear walls and x bracing which are equipped by passive dampers. each of the building models were analyzed as fully non-linear structures for variety of dampers pl...

A set of hybrid microstrip patch and semi-circular cavity antennas is introduced. The semi-circular cavity is implemented using Half-mode Substrate Integrated Waveguide (HMSIW) technique. Different shapes of patch include rectangular, semi-circular and equilateral triangular are excited using proximity effect by the circular SIW cavity at its TM010 mode of operation. The whole structures have b...

This paper presents a Hybrid Excited Double-Sided Linear Flux Switching Machine (HEDSLFSM) with crooked tooth modular stator. Generally, the conventional stators are made of full-length iron core, increasing manufacturing costs and losses. Higher losses result in lower efficiency overall performance. A U-shaped stator is used to consumption increase machine’s efficiency. Ferrite magnets replace...

This paper presents a novel linear hybrid excited flux switching permanent magnet machine (LHEFSPMM) with crooked tooth modular stator. Conventional stators are made up of pure iron core, which results in high manufacturing costs and increased core losses. Using stator lowers the volume by to 18% compared conventional stator, minimizes losses reduces machine’s overall cost. A angle is introduce...

in this study a machine learning algorithm was applied in order to develop a predictive model for the changes in phytoplankton biomass (chlorophyll a) in the lower nakdong river, south korea. we used a “hybrid evolutionary algorithm (hea)” which generated model consists of three functions ‘if-thenelse’ on the basis of a 15-year, weekly monitored ecological database. we used the average ...