Multi-physics interpolation for the topology optimization of piezoelectric systems

被引:54
|
作者
Kim, Jae Eun [2 ]
Kim, Dae Seung [3 ]
Ma, Pyung Sik [1 ]
Kim, Yoon Young [1 ]
机构
[1] Seoul Natl Univ, Natl Creat Res Initiat Ctr Multiscale Design, Adv Automobile Res Ctr, Sch Mech & Aerosp Engn, Seoul 151744, South Korea
[2] Catholic Univ Daegu, Fac Mech & Automot Engn, Gyongsan 712702, Gyeongbuk, South Korea
[3] Hyundai Kia Motors, Div Res & Dev, Hwaseong Si 445706, Gyeonggi Do, South Korea
关键词
Topology optimization; Piezoelectric system; Material interpolation; SMART STRUCTURES; VIBRATION CONTROL; DESIGN; ACTUATORS; PLACEMENT; PLATE; ALGORITHMS; SENSORS;
D O I
10.1016/j.cma.2010.06.021
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Unlike single-physics static structural problems, the topology optimization of piezoelectric systems involves three different material coefficient groups, such as the mechanical, electrical, and electromechanical coefficient groups, which correspondingly necessitate three values of penalty exponents. Earlier investigations have shown that stable convergence cannot be ensured if the exponents are selected arbitrarily or based simply on typical rules used for static structural problems. Here, stable convergence implies that the use of more materials can yield better system performance and a distinct void-solid distribution is favored over an intermediate material distribution during the optimization process. However, no rule for choosing the values of penalty exponents has yet been studied for piezoelectric systems and in fact, they have been chosen mainly by trial and error. In this work, two conditions that the three penalty exponents must satisfy for stable convergence are derived for one-dimensional problems and their effectiveness for two-dimensional problems is investigated. The first condition is an intrinsic condition ensuring better energy conversion efficiency between mechanical and electric energy for more piezoelectric material usage and the second one is an objective-dependent condition favoring a distinct void-solid distribution over an intermediate material distribution for the same amount of piezoelectric material used. In this study, we consider the design of piezoelectric actuators, sensors and energy harvesters that can be analyzed by static analysis. Several numerical examples are solved to check the validity of the proposed conditions. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:3153 / 3168
页数:16
相关论文
共 50 条
  • [42] Multiobjective and multi-physics topology optimization using an updated smart normal constraint bi-directional evolutionary structural optimization method
    David J. Munk
    Timoleon Kipouros
    Gareth A. Vio
    Geoffrey T. Parks
    Grant P. Steven
    Structural and Multidisciplinary Optimization, 2018, 57 : 665 - 688
  • [43] Multi-objective and Multi-physics Optimization of Fully Coupled Complex Structures
    Chagraoui, Hamda
    Ghanmi, Samir
    Guedri, Mohamed
    Soula, Mohamed
    Bouhaddi, Noureddine
    Design and Modeling of Mechanical Systems - II, 2015, : 29 - 39
  • [44] A System Engineering Conception of Multi-objective Optimization for Multi-physics System
    Chen, Mian
    Hammami, Omar
    MULTIPHYSICS MODELLING AND SIMULATION FOR SYSTEMS DESIGN AND MONITORING, 2015, 2 : 299 - 306
  • [45] Multi-physics Analysis of Waveguide Filters for Wireless Communication Systems
    Liu, Xiangjun
    Wu, Qiuyi
    Shi, Xiaowei
    2016 IEEE MTT-S INTERNATIONAL CONFERENCE ON NUMERICAL ELECTROMAGNETIC AND MULTIPHYSICS MODELING AND OPTIMIZATION (NEMO), 2016,
  • [46] Minimal Realization of Linear Graph Models for Multi-physics Systems
    Clarence W.DE SILVA
    Instrumentation, 2019, 6 (04) : 72 - 84
  • [47] Physically Consistent Neural ODEs for Learning Multi-Physics Systems
    Zakwan, M.
    Di Natale, L.
    Svetozarevic, B.
    Heer, P.
    Jones, C. N.
    Trecate, G. Ferrari
    IFAC PAPERSONLINE, 2023, 56 (02): : 5855 - 5860
  • [48] Communication in multi-physics applications
    Wolf, K
    Brakkee, E
    Ho, DP
    RECENT ADVANCES IN PARALLEL VIRTUAL MACHINE AND MESSAGE PASSING INTERFACE, 1997, 1332 : 167 - 174
  • [49] Data-driven identification of partial differential equations for multi-physics systems using stochastic optimization
    Im, Jinwoo
    de Barros, Felipe P. J.
    Masri, Sami F.
    NONLINEAR DYNAMICS, 2023, 111 (03) : 1987 - 2007
  • [50] Multi-Physics Models and Simulation
    Mukesh, Sagarika
    Kim, Yong-Hoon
    IEEE NANOTECHNOLOGY MAGAZINE, 2024, 18 (06) : 3 - 3