Design optimization of axial hybrid magnetic thrust bearings (with bias magnets) is
carried out using multi-objective evolutionary algorithms (MOEAs) and compared with
the case of electro magnetic bearings (without bias magnets). Mathematical models of
objective functions and associated...
In the present work, an optimum design and analyses of active magnetic thrust bearings (AMTB) and hybrid magnetic thrust bearings (HMTB) have been carried out. The active magnetic bearing contains only electromagnets, whereas, the hybrid contains both the electro-magnets and permanent magnets....
Integration of the geometric and control designs in conjunction with the optimization is the current trend
in mechatronic products. In the present work, an optimal design methodology of double-acting hybrid
active magnetic thrust bearings has been proposed. Double-acting actuators and controller...
An optimum design of thrust magnetic bearings has been carried
out using multi-objective genetic algorithms (MOGAs). The
power-loss and the weight have been selected as the minimization
type objective functions for the optimum design. The maximum
space available, the maximum current density that...
There are classical techniques based on differential and integral calculus to solve differential equations analytically. However, as the number of variables and/or the order of differential equation increase, finding a closed form solution using analytical methods becomes very tedious and...
In the present work, an optimum design and analyses of active magnetic thrust bearings (AMTB) and hybrid magnetic thrust bearings (HMTB) have been carried out. The active magnetic bearing contains only electromagnets, whereas, the hybrid contains both the electro-magnets and permanent magnets. Initially, the optimization has been carried out using single-objective genetic algorithms (SOGA). Two...