Magnetic shield design of perpendicular magnetic recording head by using topology optimization technique

Okamoto, Yoshifumi; Ohtake, M.; Takahashi, Norio

doi:10.1109/tmag.2005.845985

Cited by 23 publications

(16 citation statements)

References 9 publications

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“…The iterative cycle then starts, with the evaluation of the antibodies over an affinity function that measures their performance as solutions of the problem at hand. The antibodies are sorted 0018-9464/$25.00 © 2007 IEEE according to their values of affinity, and the best ones are selected for the clonal expansion: for a number of times given by (1) where is the position of the antibody in the ranking, a copy (clone) of the antibody is generated, and is then subject to either the affinity maturation process or to one of the global operators, as explained below. After that, the clone is evaluated, and replaces the original antibody if it presents better performance.…”

Section: Topology Optimization Algorithmmentioning

confidence: 99%

“…The aim of this problem is to maximize the flux density in the region 1, and to minimize the flux density in region 2. The objective function is defined as the same in [1] (3) where and are the areas of region 1 and region 2, respectively, and is the area of the th element. and are the weighting coefficients, which are chosen as and .…”

Section: B Optimization Of Perpendicular Magnetic Recording Headmentioning

confidence: 99%

“…In contrast, the topology-otimization (TO) approach seeks the optimal shape for a given device by making free modifications in the distribution of material within the search space, without the need of predefining any parameters (e.g., [1]). Moreover, the topological properties of the device can change during the optimization process.…”

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confidence: 99%

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Topology Optimization Based on Immune Algorithm and Multigrid Method

2007

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This paper describes topology optimization of electromagnetic systems using the multigrid method. The topology optimization employs uniform rectangular finite elements, in which the multigrid method works effectively as a fast linear solver. Moreover, the present method uses a new optimization algorithm, based on the artificial immune systems paradigm, in which the multilevel search is carried out.Index Terms-Finite-element method (FEM), immune algorithm, multigrid method, topology optimization.

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Section: Topology Optimization Algorithmmentioning

confidence: 99%

Section: B Optimization Of Perpendicular Magnetic Recording Headmentioning

confidence: 99%

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Topology Optimization Based on Immune Algorithm and Multigrid Method

2007

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“…The permeability of magnetic material used is 1000µ 0 . This model is based on the 2-D model used by Okamoto (2005). The objective function, for a maximization problem, is defined as: In this paper, a 10 x 10 x 5 partition of the design region was used.…”

Section: Optimization Of Perpendicular Magnetic Recording Headmentioning

confidence: 99%

3D topology optimization using an immune algorithm

Campelo

Watanabe

Igarashi

2007

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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3D Topology Optimization Using an Immune Algorithm AbstractPurpose -The paper introduces an evolutionary algorithm based on the artificial immune systems paradigm for topology optimization in 3D.Design/methodology/approach -The 3D topology optimization algorithm is described, and experimentally validated on an electromagnetic design problem.Findings -The proposed method is capable of finding an optimal configuration for the validation problem used.Research limitations/implications -More tests are needed in order to fully assert the capabilities of the algorithm. Moreover, further improvements are needed in order to obtain smoother topologies at the end of the optimization procedure.Practical implications -The paper presents a novel tool for the design of electromagnetic devices, using a topology optimization approach.Originality/value -So far most of the topology optimization algorithms did not tackle true 3D problems, and the ones capable of 3D optimization do it at high computational costs. The algorithm presented here is capable of true 3D design at a reasonable computational budget.

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“…To avoid these grayscale elements, an ON/OFF method has been used for optimal designs in the low-frequency domain [2][3][4]. In this method, the sign of material sensitivity in each cell is used to determine the ON/OFF status of that cell.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid ON/OFF Method for Fast Solution of Electromagnetic Inverse Problems Based on Topological Sensitivity

Kim¹,

Byun²

2011

Journal of Magnetics

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A new hybrid ON/OFF method is presented for the fast solution of electromagnetic inverse problems in high frequency domains. The proposed method utilizes both topological sensitivity (TS) and material sensitivity (MS) to update material properties in unit design cells. MS provides smooth design space and stable convergence, while TS enables sudden changes of material distribution when MS slows down. This combination of two sensitivities enables a reduction in total computation time. The TS and MS analyses are based on a variational approach and an adjoint variable method (AVM), which permits direct calculation of both sensitivity values from field solutions of the primary and adjoint systems. Investigation of the formulations of TS and MS reveals that they have similar forms, and implementation of the hybrid ON/OFF method that uses both sensitivities can be achieved by one optimization module. The proposed method is applied to dielectric material reconstruction problems, and the results show the feasibility and effectiveness of the method.

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Magnetic shield design of perpendicular magnetic recording head by using topology optimization technique

Cited by 23 publications

References 9 publications

Topology Optimization Based on Immune Algorithm and Multigrid Method

Topology Optimization Based on Immune Algorithm and Multigrid Method

3D topology optimization using an immune algorithm

A Hybrid ON/OFF Method for Fast Solution of Electromagnetic Inverse Problems Based on Topological Sensitivity

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