• Smart Structures and Systems
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• 제11권3호
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• pp.241-259
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• 2013

This paper presents the optimum load-speed diagram evaluation for a linear micromotor, including multitude cantilever piezoelectric bimorphs, briefly. Each microbeam in the mechanism can be actuated in both axial and flexural modes simultaneously. For this design, we consider quasi-static and linear conditions, and a relatively new numerical method called the smoothed finite element method (S-FEM) is introduced here. For this purpose, after finding an optimum volume fraction for piezoelectric layers through a standard numerical method such as quadratic finite element method, the relevant load-speed curves of the optimized micromotor are examined and compared by deterministic topology optimization (DTO) design. In this regard, to avoid the overly stiff behavior in FEM modeling, a numerical method known as the cell-based smoothed finite element method (CS-FEM, as a branch of S-FEM) is applied for our DTO problem. The topology optimization procedure to find the optimal design is implemented using a solid isotropic material with a penalization (SIMP) approximation and a method of moving asymptotes (MMA) optimizer. Because of the higher efficiency and accuracy of S-FEMs with respect to standard FEMs, the main micromotor characteristics of our final DTO design using a softer CS-FEM are substantially improved.

• 대한전자공학회논문지SD
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• 제46권11호
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• pp.92-100
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• 2009

본 논문은 LLR-BP 복호 알고리즘을 사용하는 LDPC 복호기의 하드웨어 구조 분석하고 효율적인 복호기의 설계 방법들을 제시하였다. 또한 설계 시 복호 성능 및 하드웨어 복잡도에 영향을 미칠 수 있는 다양한 설계 이슈들을 제시하고 복호 성능의 변화를 모의실험을 통하여 분석하였다. 오류확률을 전달하는 메시지의 양자화는 정수부 3비트, 소수부 4비트를 할당하였고, 복호 성능이 저하되지 않도록 사전정보에 정수부 2비트, 소수부 4비트를 할당하였으며 LUT로 구현되는 $\Psi$(x) 함수를 조합회로인 PWL 블록으로 대체하여 하드웨어 구조의 개선에 대해 논의하였다. 복호 시간을 단축하기 위하여 중첩 스케줄링을 적용하고, 각 복호기 구조 및 설계 변수들의 제한에 따른 하드웨어 자원을 비교함으로써, 하드웨어 복잡도를 분석하였다.

• Journal of Mechanical Science and Technology
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• 제15권8호
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• pp.1143-1155
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• 2001

In order to reduce the expensive CPU time for design sensitivity analysis in dynamic response optimization, this study introduces the design sensitivities approximated within estimated confidence radius in dynamic response optimization with ALM method. The confidence radius is estimated by the linear approximation with Hessian of quasi-Newton formula and qualifies the approximate gradient to be validly used during optimization process. In this study, if the design changes between consecutive iterations are within the estimated confidence radius, then the approximate gradients are accepted. Otherwise, the exact gradients are used such as analytical or finite differenced gradients. This hybrid design sensitivity analysis method is embedded in an in-house ALM based dynamic response optimizer, which solves three typical dynamic response optimization problems and one practical design problem for a tracked vehicle suspension system. The optimization results are compared with those of the conventional method that uses only exact gradients throughout optimization process. These comparisons show that the hybrid method is more efficient than the conventional method. Especially, in the tracked vehicle suspension system design, the proposed method yields 14 percent reduction of the total CPU time and the number of analyses than the conventional method, while giving similar optimum values.