1 --In this paper, the sizing equation analyses are presented for two different radial and axial ... more 1 --In this paper, the sizing equation analyses are presented for two different radial and axial flux field controlled PM machines. These types of machines have two sources of excitation which allows one to easily control the airgap flux. Variable flux component provided by the field winding and fixed flux component obtained from PM converge into the airgap so that an additive or subtractive effect can be achieved over a wide range such that the machine speed range can be increased. A detailed analysis is made in order to evaluate the performance, power density and efficiency. In addition, guidelines for optimal design of the two machines are pointed out.
Multi-core computers give the opportunity to solve high-performance applications more efficiently... more Multi-core computers give the opportunity to solve high-performance applications more efficiently by using parallel computing. In this way, it is possible to achieve the same results in less time compared to the non-parallel version. Since computers continue to grow on the number of cores, we need to make our parallel applications scalable. This paper shows how a Genetic Algorithm (GA) in a non-parallel version takes long time to solve an optimization problem; in comparison, using multi-core parallel computing the processing time can be reduced significantly as the number of cores grows. The tests were made on a quad-core computer; a comparison of the speeding up in relation to the number of cores is shown.
1 --In this paper, the sizing equation analyses are presented for two different radial and axial ... more 1 --In this paper, the sizing equation analyses are presented for two different radial and axial flux field controlled PM machines. These types of machines have two sources of excitation which allows one to easily control the airgap flux. Variable flux component provided by the field winding and fixed flux component obtained from PM converge into the airgap so that an additive or subtractive effect can be achieved over a wide range such that the machine speed range can be increased. A detailed analysis is made in order to evaluate the performance, power density and efficiency. In addition, guidelines for optimal design of the two machines are pointed out.
Multi-core computers give the opportunity to solve high-performance applications more efficiently... more Multi-core computers give the opportunity to solve high-performance applications more efficiently by using parallel computing. In this way, it is possible to achieve the same results in less time compared to the non-parallel version. Since computers continue to grow on the number of cores, we need to make our parallel applications scalable. This paper shows how a Genetic Algorithm (GA) in a non-parallel version takes long time to solve an optimization problem; in comparison, using multi-core parallel computing the processing time can be reduced significantly as the number of cores grows. The tests were made on a quad-core computer; a comparison of the speeding up in relation to the number of cores is shown.
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Papers by juan tapia