Design of functionally graded piezocomposites using topology optimization and homogenization - Toward effective energy harvesting materials

In the optimization of a piezocomposite, the objective is to obtain an improvement in its performance characteristics, usually by changing the volume fractions of constituent materials, its properties, shape of inclusions, and mechanical properties of the polymer matrix (in the composite unit cell). Thus, this work proposes a methodology, based on topology optimization and homogenization, to design functionally graded piezocomposite materials that considers important aspects in the design process aiming at energy harvesting applications, such as the influence of piezoelectric polarization directions and the influence of material gradation. The influence of the piezoelectric polarization direction is quantitatively verified using the Discrete Material Optimization (DMO) method, which combines gradients with mathematical programming to solve a discrete optimization problem. The homogenization method is implemented using the graded finite element concept, which takes into account the continuous gradation inside the finite elements. One of the main questions answered in this work is, quantitatively, how the microscopic stresses can be reduced by combining the functionally graded material (FGM) concept with optimization. In addition, the influence of polygonal elements is investigated, quantitatively, when compared to quadrilateral 4-node finite element meshes, which are usually adopted in material design. However, quads exhibit one-node connections and are susceptible to checkerboard patterns in topology optimization applications. To circumvent these problems, Voronoi diagrams are used as an effective means of generating irregular polygonal meshes for piezocomposite design. The present results consist of bi-dimensional unit cells that illustrate the methodology proposed in this work.

[1]  Glaucio H. Paulino,et al.  Honeycomb Wachspress finite elements for structural topology optimization , 2009 .

[2]  Glaucio H. Paulino,et al.  Polygonal finite elements for topology optimization: A unifying paradigm , 2010 .

[3]  Z. A. Munir,et al.  The effect of electric field and pressure on the synthesis and consolidation of materials: A review of the spark plasma sintering method , 2006 .

[4]  K. Matsui,et al.  Continuous approximation of material distribution for topology optimization , 2004 .

[5]  A. Cherkaev Variational Methods for Structural Optimization , 2000 .

[6]  James K. Guest,et al.  Achieving minimum length scale in topology optimization using nodal design variables and projection functions , 2004 .

[7]  N. Kikuchi,et al.  Optimal design of piezoelectric microstructures , 1997 .

[8]  Kurt Maute,et al.  Design of Piezoelectric Energy Harvesting Systems: A Topology Optimization Approach Based on Multilayer Plates and Shells , 2009 .

[9]  O. Sigmund A new class of extremal composites , 2000 .

[10]  J. Petersson,et al.  Numerical instabilities in topology optimization: A survey on procedures dealing with checkerboards, mesh-dependencies and local minima , 1998 .

[11]  Noboru Kikuchi,et al.  Optimization methods applied to material and flextensional actuator design using the homogenization method , 1999 .

[12]  G. Paulino,et al.  PolyMesher: a general-purpose mesh generator for polygonal elements written in Matlab , 2012 .

[13]  S. P. Lloyd,et al.  Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.

[14]  Determination of the micro stress field in composite by homogenization method , 2006 .

[15]  Markus J. Buehler,et al.  Topology Optimization of Smart Structures Using a Homogenization Approach , 2002, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[16]  S. Rahmatalla,et al.  A Q4/Q4 continuum structural topology optimization implementation , 2004 .

[17]  Salam Rahmatalla,et al.  Form Finding of Sparse Structures with Continuum Topology Optimization , 2003 .

[18]  Erik Lund,et al.  Discrete material optimization of general composite shell structures , 2005 .

[19]  O. Sigmund Materials with prescribed constitutive parameters: An inverse homogenization problem , 1994 .

[20]  Ole Sigmund,et al.  On the design of 1–3 piezocomposites using topology optimization , 1998 .

[21]  N. Kikuchi,et al.  Design of piezocomposite materials and piezoelectric transducers using topology optimization—Part I , 1999 .

[22]  O. Sigmund,et al.  Multiphase composites with extremal bulk modulus , 2000 .

[23]  S. Torquato,et al.  Design of materials with extreme thermal expansion using a three-phase topology optimization method , 1997 .

[24]  N. Kikuchi,et al.  Design of piezocomposite materials and piezoelectric transducers using topology optimization— Part III , 1999 .

[25]  H. Rodrigues,et al.  Homogenization of textured as well as randomly oriented ferroelectric polycrystals , 2009 .

[26]  S. Priya Advances in energy harvesting using low profile piezoelectric transducers , 2007 .

[27]  Glaucio H. Paulino,et al.  Topology optimization design of functionally graded bimorph-type piezoelectric actuators , 2007 .

[28]  Henry A. Sodano,et al.  A review of power harvesting using piezoelectric materials (2003–2006) , 2007 .

[29]  N. Sukumar,et al.  Conforming polygonal finite elements , 2004 .

[30]  T. E. Bruns,et al.  Topology optimization of non-linear elastic structures and compliant mechanisms , 2001 .

[31]  H. Rodrigues,et al.  Stochastic optimization of ferroelectric ceramics for piezoelectric applications , 2011 .

[32]  S. Beeby,et al.  Energy harvesting vibration sources for microsystems applications , 2006 .

[33]  M. Bendsøe,et al.  Generating optimal topologies in structural design using a homogenization method , 1988 .

[34]  Noboru Kikuchi,et al.  Optimal design of periodic piezocomposites , 1998 .

[35]  N. Kikuchi,et al.  NORTH-HOLLAND PREPROCESSING AND POSTPROCESSING FOR MATERIALS BASED ON THE HOMOGENIZATION METHOD WITH ADAPTIVE FINITE ELEMENT METHODS Jos , 2002 .

[36]  W. A. Smith,et al.  The role of piezocomposites in ultrasonic transducers , 1989, Proceedings., IEEE Ultrasonics Symposium,.

[37]  B. Moran,et al.  Natural neighbour Galerkin methods , 2001 .

[38]  Helder C. Rodrigues,et al.  Piezoelectricity enhancement in ferroelectric ceramics due to orientation , 2008 .

[39]  Glaucio H. Paulino,et al.  Optimal design of periodic functionally graded composites with prescribed properties , 2009 .

[40]  Jae-Eun Kim,et al.  Multi-physics interpolation for the topology optimization of piezoelectric systems , 2010 .

[41]  Naotake Noda,et al.  DESIGN OF A SMART FUNCTIONALLY GRADED THERMOPIEZOELECTRIC COMPOSITE STRUCTURE , 2001 .

[42]  Steven W. Hudnut,et al.  Analysis of out-of-plane displacement and stress field in a piezocomposite plate with functionally graded microstructure , 2001 .

[43]  K. Svanberg The method of moving asymptotes—a new method for structural optimization , 1987 .

[44]  G. Allaire,et al.  Shape optimization by the homogenization method , 1997 .

[45]  Glaucio H. Paulino,et al.  PolyTop: a Matlab implementation of a general topology optimization framework using unstructured polygonal finite element meshes , 2012 .

[46]  Glaucio H. Paulino,et al.  Design of Functionally Graded Structures Using Topology Optimization , 2005 .

[47]  Noboru Kikuchi,et al.  Design of piezocomposite materials and piezoelectric transducers using topology optimization—Part II , 1999 .

[48]  M. Bendsøe,et al.  Topology Optimization: "Theory, Methods, And Applications" , 2011 .

[49]  A. Kawasaki,et al.  Functionally graded materials : design, processing and applications , 1999 .

[50]  Yoshinari Miyamoto,et al.  Functionally Graded Materials. , 1995 .

[51]  Ann Marie Sastry,et al.  Powering MEMS portable devices—a review of non-regenerative and regenerative power supply systems with special emphasis on piezoelectric energy harvesting systems , 2008 .

[52]  O. Sigmund Tailoring materials with prescribed elastic properties , 1995 .