Robust isogeometric topology optimization for piezoelectric actuators with uniform manufacturability
Received date: 17 Aug 2021
Accepted date: 14 Mar 2022
Published date: 15 Jun 2022
Copyright
Piezoelectric actuators have received substantial attention among the industry and academia due to quick responses, such as high output force, high stiffness, high accuracy, and precision. However, the design of piezoelectric actuators always suffers from the emergence of several localized hinges with only one-node connection, which have difficulty satisfying manufacturing and machining requirements (from the over- or under-etching devices). The main purpose of the current paper is to propose a robust isogeometric topology optimization (RITO) method for the design of piezoelectric actuators, which can effectively remove the critical issue induced by one-node connected hinges and simultaneously maintain uniform manufacturability in the optimized topologies. In RITO, the isogeometric analysis replacing the conventional finite element method is applied to compute the unknown electro elastic fields in piezoelectric materials, which can improve numerical accuracy and then enhance iterative stability. The erode–dilate operator is introduced in topology representation to construct the eroded, intermediate, and dilated density distribution functions by non-uniform rational B-splines. Finally, the RITO formulation for the design of piezoelectric materials is developed, and several numerical examples are performed to test the effectiveness and efficiency of the proposed RITO method.
Jie GAO , Mi XIAO , Zhi YAN , Liang GAO , Hao LI . Robust isogeometric topology optimization for piezoelectric actuators with uniform manufacturability[J]. Frontiers of Mechanical Engineering, 2022 , 17(2) : 27 . DOI: 10.1007/s11465-022-0683-5
Abbreviations | |
CAMD | Continuous approximation of material distribution |
DDF | Density distribution function |
FEM | Finite element method |
IGA | Isogeometric analysis |
ITO | Isogeometric topology optimization |
MEMS | Micro-electro-mechanical system |
MMA | Method of moving asymptotes |
NURBS | Non-uniform rational B-splines |
OC | Optimality criteria |
PEMAP | Piezoelectric material with penalization |
PEMAP-P | Piezoelectric material with penalization and polarization |
PZT | Lead zirconate titanate |
RITO | Robust isogeometric topology optimization |
SIMP | Solid isotropic material penalization |
Variables | |
Strain‒displacement matrix | |
Stiffness tensor in constant electrical field | |
Electrical displacement | |
Number of the finite element | |
Piezoelectric coefficient matrix | |
Electrical field | |
Stiffness, electromechanical coupling, and dielectric coefficients of piezoelectric solids, respectively | |
, , | Minimum values of stiffness, electromechanical coup-ling, and dielectric coefficients of the voids, respectively |
f | Global force imposed at the design domain |
Body force | |
Dummy load | |
Force in the th finite element | |
Surface traction | |
Volume constraint for the eroded, intermediate, and dilated topologies | |
Volume constraint in the intermediate design | |
Volume constraint function | |
Thickness of the piezoelectric plate | |
Number of control point in the first parametric direction | |
Number of control point in the second parametric direction | |
Objective function | |
Jacobi matrix from the parametric space to physical space | |
Jacobi matrix from the bi-unit parent element space to parametric space | |
Spring stiffness at the output location | |
Mechanical stiffness matrix | |
Piezoelectric coupling matrix | |
Dielectric stiffness matrix | |
, | Total number of control points in the parametric directions and , respectively |
B-spline basis functions in the second parametric direction | |
B-spline basis functions in the first parametric direction | |
p | Degree of NURBS basis functions in the first parametric direction |
, , , | Penalization parameters for stiffness, piezoelectricity, dielectric, and polarization, respectively |
q | Degree of NURBS basis functions in the second parametric direction |
Surface charge density accumulated on the electrodes | |
Charge density in the th finite element | |
NURBS basis functions in 2D | |
S | Mechanical strain |
T | Mechanical stress |
u | Displacement field |
ue | Displacement field in the eth finite element |
ui,j | Displacement at the (i,j)th control point |
uout | Output displacement at the specified locations of the design domain |
Vmax | Maximum material consumption |
Positive weight at the (i,j)th control point | |
First and second parametric directions, respectively | |
Permittivity coefficient matrix | |
ϕ | Electric potential |
ϕe | Electric potential in the eth finite element |
Physical design domain of the eth IGA element | |
Bi-unit parent element | |
Control design variable | |
Positive integer to avoid the occurrence of numerical singularity | |
, | Eroded, intermediate, and dilated control design variables, respectively |
th smoothed control design variable | |
, | First and second parameters in the threshold projection, respectively |
Different values of the parameter to define the erode, intermediate and dilate operators in threshold projection, respectively | |
Adjoint vector of the dummy load | |
Density distribution function | |
, | Eroded, intermediate, and dilated DDFs, respectively |
Value of the iso-contour of the DDF | |
Structural topology | |
, | Eroded, intermediate, and dilated topologies, respectively |
Second type of design variables for the polarization | |
Continuous function for the second type of design variable | |
Eroded, intermediate, and dilated continuous functions for the second type of design variable, respectively | |
, | Optimized distributions of the polarization in three eroded, intermediate, and dilated designs, respectively |
1 |
Frecker M I. Recent advances in optimization of smart structures and actuators. Journal of Intelligent Material Systems and Structures, 2003, 14( 4–5): 207– 216
|
2 |
Adriaens H J M T S, De Koning W L, Banning R. Modeling piezoelectric actuators. IEEE/ASME Transactions on Mechatronics, 2000, 5( 4): 331– 341
|
3 |
Zhang Y K, Tu Z, Lu T F, Al-Sarawi S. A simplified transfer matrix of multi-layer piezoelectric stack. Journal of Intelligent Material Systems and Structures, 2017, 28( 5): 595– 603
|
4 |
Pérez R, Agnus J, Clévy C, Hubert A, Chaillet N. Modeling, fabrication, and validation of a high-performance 2-DoF piezoactuator for micromanipulation. IEEE/ASME Transactions on Mechatronics, 2005, 10( 2): 161– 171
|
5 |
Bendsøe M P, Sigmund O. Topology Optimization: Theory, Methods and Applications. Berlin: Springer, 2003
|
6 |
Gao J, Luo Z, Li H, Gao L. Topology optimization for multiscale design of porous composites with multi-domain microstructures. Computer Methods in Applied Mechanics and Engineering, 2019, 344: 451– 476
|
7 |
Liu H, Zong H M, Shi T L, Xia Q. M-VCUT level set method for optimizing cellular structures. Computer Methods in Applied Mechanics and Engineering, 2020, 367: 113154
|
8 |
Li Q H, Sigmund O, Jensen J S, Aage N. Reduced-order methods for dynamic problems in topology optimization: a comparative study. Computer Methods in Applied Mechanics and Engineering, 2021, 387: 114149
|
9 |
Chu S, Featherston C, Kim H A. Design of stiffened panels for stress and buckling via topology optimization. Structural and Multidisciplinary Optimization, 2021, 64( 5): 3123– 3146
|
10 |
Chu S, Townsend S, Featherston C, Kim H A. Simultaneous layout and topology optimization of curved stiffened panels. AIAA Journal, 2021, 59( 7): 2768– 2783
|
11 |
Silva E C N, Fonseca J S O, Kikuchi N. Optimal design of piezoelectric microstructures. Computational Mechanics, 1997, 19( 5): 397– 410
|
12 |
Silva E C N, Fonseca J S O, de Espinosa F M, Crumm A T, Brady G A, Halloran J W, Kikuchi N. Design of piezocomposite materials and piezoelectric transducers using topology optimization—part I. Archives of Computational Methods in Engineering, 1999, 6( 2): 117– 182
|
13 |
Silva E C N, Nishiwaki S, Fonseca J S O, Kikuchi N. Optimization methods applied to material and flextensional actuator design using the homogenization method. Computer Methods in Applied Mechanics and Engineering, 1999, 172( 1–4): 241– 271
|
14 |
Zhou M, Rozvany G I N. The COC algorithm, part II: topological, geometrical and generalized shape optimization. Computer Methods in Applied Mechanics and Engineering, 1991, 89( 1–3): 309– 336
|
15 |
Bendsøe M P, Sigmund O. Material interpolation schemes in topology optimization. Archive of Applied Mechanics, 1999, 69( 9–10): 635– 654
|
16 |
Silva E C N, Kikuchi N. Design of piezoelectric transducers using topology optimization. Smart Materials and Structures, 1999, 8( 3): 350– 364
|
17 |
Canfield S, Frecker M. Topology optimization of compliant mechanical amplifiers for piezoelectric actuators. Structural and Multidisciplinary Optimization, 2000, 20( 4): 269– 279
|
18 |
Carbonari R C, Silva E C N, Nishiwaki S. Design of piezoelectric multi-actuated microtools using topology optimization. Smart Materials and Structures, 2005, 14( 6): 1431– 1447
|
19 |
Kögl M, Silva E C N. Topology optimization of smart structures: design of piezoelectric plate and shell actuators. Smart Materials and Structures, 2005, 14( 2): 387– 399
|
20 |
Kim J E, Kim D S, Ma P S, Kim Y Y. Multi-physics interpolation for the topology optimization of piezoelectric systems. Computer Methods in Applied Mechanics and Engineering, 2010, 199( 49–52): 3153– 3168
|
21 |
Gonçalves J F, De Leon D M, Perondi E A. Simultaneous optimization of piezoelectric actuator topology and polarization. Structural and Multidisciplinary Optimization, 2018, 58( 3): 1139– 1154
|
22 |
Homayouni-Amlashi A, Schlinquer T, Mohand-Ousaid A, Rakotondrabe M. 2D topology optimization MATLAB codes for piezoelectric actuators and energy harvesters. Structural and Multidisciplinary Optimization, 2021, 63( 2): 983– 1014
|
23 |
Yang S T, Li Y L, Xia X, Ning P, Ruan W T, Zheng R F, Lu X H. A topology optimization method and experimental verification of piezoelectric stick–slip actuator with flexure hinge mechanism. Archive of Applied Mechanics, 2022, 92( 1): 271– 285
|
24 |
Yang B, Cheng C Z, Wang X, Meng Z, Homayouni-Amlashi A. Reliability-based topology optimization of piezoelectric smart structures with voltage uncertainty. Journal of Intelligent Material Systems and Structures, 2022, 33(15): 1975– 1989
|
25 |
Wang Y G, Kang Z, Zhang X P. A velocity field level set method for topology optimization of piezoelectric layer on the plate with active vibration control. Mechanics of Advanced Materials and Structures, 2022 (in press)
|
26 |
Kang Z, Wang X M. Topology optimization of bending actuators with multilayer piezoelectric material. Smart Materials and Structures, 2010, 19( 7): 0 75018
|
27 |
Carbonari R C, Silva E C N, Paulino G H. Topology optimization design of functionally graded bimorph-type piezoelectric actuators. Smart Materials and Structures, 2007, 16( 6): 2605– 2620
|
28 |
Nakasone P H, Silva E C N. Dynamic design of piezoelectric laminated sensors and actuators using topology optimization. Journal of Intelligent Material Systems and Structures, 2010, 21( 16): 1627– 1652
|
29 |
Zhang X P, Kang Z. Dynamic topology optimization of piezoelectric structures with active control for reducing transient response. Computer Methods in Applied Mechanics and Engineering, 2014, 281: 200– 219
|
30 |
Moretti M, Silva E C N. Topology optimization of piezoelectric bi-material actuators with velocity feedback control. Frontiers of Mechanical Engineering, 2019, 14( 2): 190– 200
|
31 |
Kang Z, Tong L Y. Integrated optimization of material layout and control voltage for piezoelectric laminated plates. Journal of Intelligent Material Systems and Structures, 2008, 19( 8): 889– 904
|
32 |
Kang Z, Wang R, Tong L Y. Combined optimization of bi-material structural layout and voltage distribution for in-plane piezoelectric actuation. Computer Methods in Applied Mechanics and Engineering, 2011, 200( 13–16): 1467– 1478
|
33 |
Hughes T J R, Cottrell J A, Bazilevs Y. Isogeometric analysis: CAD, finite elements, NURBS, exact geometry and mesh refinement. Computer Methods in Applied Mechanics and Engineering, 2005, 194( 39–41): 4135– 4195
|
34 |
Singh S K, Singh I V. Analysis of cracked functionally graded piezoelectric material using XIGA. Engineering Fracture Mechanics, 2020, 230: 107015
|
35 |
Gao J, Xiao M, Zhang Y, Gao L. A comprehensive review of isogeometric topology optimization: methods, applications and prospects. Chinese Journal of Mechanical Engineering, 2020, 33( 1): 87
|
36 |
Hassani B, Khanzadi M, Tavakkoli S M. An isogeometrical approach to structural topology optimization by optimality criteria. Structural and Multidisciplinary Optimization, 2012, 45( 2): 223– 233
|
37 |
Gao J, Gao L, Luo Z, Li P G. Isogeometric topology optimization for continuum structures using density distribution function. International Journal for Numerical Methods in Engineering, 2019, 119( 10): 991– 1017
|
38 |
Wang Y J, Benson D J. Isogeometric analysis for parameterized LSM-based structural topology optimization. Computational Mechanics, 2016, 57( 1): 19– 35
|
39 |
Ghasemi H, Park H S, Rabczuk T. A level-set based IGA formulation for topology optimization of flexoelectric materials. Computer Methods in Applied Mechanics and Engineering, 2017, 313: 239– 258
|
40 |
Gao J, Xiao M, Zhou M, Gao L. Isogeometric topology and shape optimization for composite structures using level-sets and adaptive Gauss quadrature. Composite Structures, 2022, 285: 115263
|
41 |
Hou W B, Gai Y D, Zhu X F, Wang X, Zhao C, Xu L K, Jiang K, Hu P. Explicit isogeometric topology optimization using moving morphable components. Computer Methods in Applied Mechanics and Engineering, 2017, 326: 694– 712
|
42 |
Zhang W S, Li D D, Kang P, Guo X, Youn S K. Explicit topology optimization using IGA-based moving morphable void (MMV) approach. Computer Methods in Applied Mechanics and Engineering, 2020, 360: 112685
|
43 |
Wang Z P, Poh L H, Dirrenberger J, Zhu Y L, Forest S. Isogeometric shape optimization of smoothed petal auxetic structures via computational periodic homogenization. Computer Methods in Applied Mechanics and Engineering, 2017, 323: 250– 271
|
44 |
Gao J, Xue H P, Gao L, Luo Z. Topology optimization for auxetic metamaterials based on isogeometric analysis. Computer Methods in Applied Mechanics and Engineering, 2019, 352: 211– 236
|
45 |
Wang C, Yu T T, Shao G J, Bui T Q. Multi-objective isogeometric integrated optimization for shape control of piezoelectric functionally graded plates. Computer Methods in Applied Mechanics and Engineering, 2021, 377: 113698
|
46 |
Zhu B L, Zhang X M, Zhang H C, Liang J W, Zang H Y, Li H, Wang R X. Design of compliant mechanisms using continuum topology optimization: a review. Mechanism and Machine Theory, 2020, 143: 103622
|
47 |
Koppen S, Langelaar M, van Keulen F. A simple and versatile topology optimization formulation for flexure synthesis. Mechanism and Machine Theory, 2022, 172: 104743
|
48 |
Wang R X, Zhang X M, Zhu B L, Qu F H, Chen B C, Liang J W. Hybrid explicit–implicit topology optimization method for the integrated layout design of compliant mechanisms and actuators. Mechanism and Machine Theory, 2022, 171: 104750
|
49 |
Sigmund O. Manufacturing tolerant topology optimization. Acta Mechanica Sinica, 2009, 25( 2): 227– 239
|
50 |
Xia Q, Shi T L. Topology optimization of compliant mechanism and its support through a level set method. Computer Methods in Applied Mechanics and Engineering, 2016, 305: 359– 375
|
51 |
Wang F W, Lazarov B S, Sigmund O. On projection methods, convergence and robust formulations in topology optimization. Structural and Multidisciplinary Optimization, 2011, 43( 6): 767– 784
|
52 |
Luo J Z, Luo Z, Chen S K, Tong L Y, Wang M Y. A new level set method for systematic design of hinge-free compliant mechanisms. Computer Methods in Applied Mechanics and Engineering, 2008, 198( 2): 318– 331
|
53 |
da Silva G A, Beck A T, Sigmund O. Topology optimization of compliant mechanisms with stress constraints and manufacturing error robustness. Computer Methods in Applied Mechanics and Engineering, 2019, 354: 397– 421
|
54 |
Lerch R. Simulation of piezoelectric devices by two-and three-dimensional finite elements. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1990, 37( 3): 233– 247
|
55 |
Kang Z, Wang Y Q. Structural topology optimization based on non-local Shepard interpolation of density field. Computer Methods in Applied Mechanics and Engineering, 2011, 200( 49–52): 3515– 3525
|
56 |
Trillet D, Duysinx P, Fernández E. Analytical relationships for imposing minimum length scale in the robust topology optimization formulation. Structural and Multidisciplinary Optimization, 2021, 64( 4): 2429– 2448
|
57 |
Wang Y Q, Chen F F, Wang M Y. Concurrent design with connectable graded microstructures. Computer Methods in Applied Mechanics and Engineering, 2017, 317: 84– 101
|
58 |
Li Q H, Xu R, Wu Q B, Liu S T. Topology optimization design of quasi-periodic cellular structures based on erode–dilate operators. Computer Methods in Applied Mechanics and Engineering, 2021, 377: 113720
|
59 |
Xiao M, Liu X L, Zhang Y, Gao L, Gao J, Chu S. Design of graded lattice sandwich structures by multiscale topology optimization. Computer Methods in Applied Mechanics and Engineering, 2021, 384: 113949
|
60 |
Wang Y G, Kang Z. A level set method for shape and topology optimization of coated structures. Computer Methods in Applied Mechanics and Engineering, 2018, 329: 553– 574
|
61 |
Zhang Y, Xiao M, Gao L, Gao J, Li H. Multiscale topology optimization for minimizing frequency responses of cellular composites with connectable graded microstructures. Mechanical Systems and Signal Processing, 2020, 135: 106369
|
62 |
Zhang Y, Zhang L, Ding Z, Gao L, Xiao M, Liao W H. A multiscale topological design method of geometrically asymmetric porous sandwich structures for minimizing dynamic compliance. Materials & Design, 2022, 214: 110404
|
63 |
Svanberg K. The method of moving asymptotes—a new method for structural optimization. International Journal for Numerical Methods in Engineering, 1987, 24( 2): 359– 373
|
64 |
Hägg L, Wadbro E. On minimum length scale control in density based topology optimization. Structural and Multidisciplinary Optimization, 2018, 58( 3): 1015– 1032
|
/
〈 | 〉 |