Multi-Objective Optimization of a Piezoelectric Sandwich Ultrasonic Transducer by Using Elitist Non-Dominated Sorting Genetic Algorithm

Abstract:

The multi-objective optimal design of a piezoelectric sandwich ultrasonic transducer is studied. The maximum vibration amplitude and the minimum electrical input power are considered as optimization objectives. Design variables involve continuous variables (dimensions of the transducer) and discrete variables (material types). Based on analytical models, the optimal design is formulated as a constrained multi-objective optimization problem. The optimization problem is then solved by using the elitist non-dominated sorting genetic algorithm (NSGA-II) and Pareto-optimal designs are obtained. The optimized results are analyzed and the preferred design is proposed. The optimization procedure presented in this contribution can be applied in multi-objective optimization problems of other piezoelectric transducers.

• Periodical: Key Engineering Materials (Volumes 474-476)
• Pages: 1808-1812
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.474-476.1808
• Online since: April 2011
• Authors: Bo Fu, Yi Jing, Xuan Fu, Tobias Hemsel
• Keywords: Genetic Algorithm (GA), Multi-Objective Optimization (MOP), Pareto-Optimal Design, Piezoelectric Sandwich Transducer

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