An earlier study introduced the concept of piezoelectric energy-harvesting skin (EHS) to harvest energy by attaching thin piezoelectric patches onto a vibrating skin. This paper presents a methodology for the optimum design of EHS with the use of an efficient topology optimization method referred to as the hybrid cellular automaton (HCA) algorithm. The design domain of the piezoelectric material is discretized into cellular automata (CA), and the response of each CA is measured using high-fidelity finite-element analysis of a vibrating structure. The CA properties are parameterized using nonlinear interpolation functions that follow the principles of the SIMP model. The HCA algorithm finds the optimal densities and polarizing directions at each CA that maximize the output power from the EHS. The performance of this approach is demonstrated for the optimal design of EHS in two real-world case studies.
Topology Optimization of Piezoelectric Energy Harvesting Skin Using Hybrid Cellular Automata
Contributed by Design Innovation and Devices of ASME for publication in the Journal of Mechanical Design. Manuscript received February 9, 2012; final manuscript received December 17, 2012; published online January 17, 2013. Assoc. Editor: Shinji Nishiwaki.
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Lee, S., and Tovar, A. (January 17, 2013). "Topology Optimization of Piezoelectric Energy Harvesting Skin Using Hybrid Cellular Automata." ASME. J. Mech. Des. March 2013; 135(3): 031001. https://doi.org/10.1115/1.4023322
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