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Author

Kazumi Matsui

Other affiliations: Tohoku University
Bio: Kazumi Matsui is an academic researcher from Yokohama National University. The author has contributed to research in topics: Finite element method & Topology optimization. The author has an hindex of 9, co-authored 34 publications receiving 699 citations. Previous affiliations of Kazumi Matsui include Tohoku University.

Papers
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TL;DR: In this paper, a checkboard-free topology optimization method without introducing any additional constraint parameter is proposed, which is called the method of continuous approximation of material distribution (CAMD) to emphasize the continuity imposed on the material field.
Abstract: In this paper, we propose a checkerboard-free topology optimization method without introducing any additional constraint parameter. This aim is accomplished by the introduction of finite element approximation for continuous material distribution in a fixed design domain. That is, the continuous distribution of microstructures, or equivalently design variables, is realized in the whole design domain in the context of the homogenization design method (HDM), by the discretization with finite element interpolations. By virtue of this continuous FE approximation of design variables, discontinuous distribution like checkerboard patterns disappear without any filtering schemes. We call this proposed method the method of continuous approximation of material distribution (CAMD) to emphasize the continuity imposed on the ‘material field’. Two representative numerical examples are presented to demonstrate the capability and the efficiency of the proposed approach against some classes of numerical instabilities. Copyright © 2004 John Wiley & Sons, Ltd.

189 citations

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TL;DR: In this article, the authors describe the formulation adopted for the numerical simulation of the shaped metal deposition process (SMD) and the experimental work carried out at ITP Industry to calibrate and validate the proposed model.

175 citations

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TL;DR: This work makes a feasibility study and introduces a parallel algorithm to achieve the computational efficiency of a two-scale analysis method for nonlinear heterogeneous solids with periodic microstructures.

135 citations

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TL;DR: In this article, a new topology optimization method for designing vibrating structures that targets desired eigenfrequencies and eigenmode shapes is proposed, which is applicable to the design of mechanical resonators and actuators.
Abstract: In vibration optimization problems, eigenfrequencies are usually maximized in the optimization since resonance phenomena in a mechanical structure must be avoided, and maximizing eigenfrequencies can provide a high probability of dynamic stability However, vibrating mechanical structures can provide additional useful dynamic functions or performance if desired eigenfrequencies and eigenmode shapes in the structures can be implemented In this research, we propose a new topology optimization method for designing vibrating structures that targets desired eigenfrequencies and eigenmode shapes Several numerical examples are presented to confirm that the method presented here can provide optimized vibrating structures applicable to the design of mechanical resonators and actuators

94 citations

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TL;DR: In this paper, the authors introduce the notion of two-scale kinematics and the procedure of twoscale linearization, which are indispensable to the simultaneous twoscale analysis of periodic heterogeneous solids at finite strain.

84 citations


Cited by
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TL;DR: A review of the emerging research on additive manufacturing of metallic materials is provided in this article, which provides a comprehensive overview of the physical processes and the underlying science of metallurgical structure and properties of the deposited parts.

4,192 citations

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TL;DR: Topology optimization is the process of determining the optimal layout of material and connectivity inside a design domain this paper, which is the same as the problem of finding the optimal configuration of a set of components.
Abstract: Topology optimization is the process of determining the optimal layout of material and connectivity inside a design domain. This paper surveys topology optimization of continuum structures from the year 2000 to 2012. It focuses on new developments, improvements, and applications of finite element-based topology optimization, which include a maturation of classical methods, a broadening in the scope of the field, and the introduction of new methods for multiphysics problems. Four different types of topology optimization are reviewed: (1) density-based methods, which include the popular Solid Isotropic Material with Penalization (SIMP) technique, (2) hard-kill methods, including Evolutionary Structural Optimization (ESO), (3) boundary variation methods (level set and phase field), and (4) a new biologically inspired method based on cellular division rules. We hope that this survey will provide an update of the recent advances and novel applications of popular methods, provide exposure to lesser known, yet promising, techniques, and serve as a resource for those new to the field. The presentation of each method's focuses on new developments and novel applications.

1,052 citations

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TL;DR: This paper reviews the state of the art of a particular, yet powerful, method, i.e. computational homogenization, and discusses the main trends since the early developments up to the ongoing contributions and upcoming challenges in the field.

821 citations

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TL;DR: In this article, the authors describe the thermo-mechanical behavior of the multi-layer wall structure made by the wire and arc additive layer manufacturing (WAALM) process.

449 citations

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TL;DR: In this article, a hybrid inactive/quiet element method is proposed for modeling additive manufacturing, where metal deposition element is initially inactive, then, they are switched to quiet layer by layer.

361 citations