Multi-Objective Optimization of a Piezoelectric Sandwich Ultrasonic Transducer by Using Elitist Non-Dominated Sorting Genetic Algorithm (bibtex)
by Tobias Hemsel, Bo Fu, Yi Jing, Xuan Fu
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.
Reference:
Hemsel, T.; Fu, B.; Jing, Y.; Fu, X.: Multi-Objective Optimization of a Piezoelectric Sandwich Ultrasonic Transducer by Using Elitist Non-Dominated Sorting Genetic Algorithm. Key Engineering Materials, Trans Tech Publ, volume 474 - 476, 2011.
Bibtex Entry:
@ARTICLE{Hemsel2011,
  author = {Hemsel, Tobias and Fu, Bo and Jing, Yi and Fu, Xuan},
  title = {Multi-Objective Optimization of a Piezoelectric Sandwich Ultrasonic
	Transducer by Using Elitist Non-Dominated Sorting Genetic Algorithm},
  journal = {Key Engineering Materials},
  year = {2011},
  volume = {474 - 476},
  pages = {1808--1812},
  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.},
  bdsk-url-1 = {http://dx.doi.org/10.4028/www.scientific.net/KEM.474-476.1808},
  doi = {10.4028/www.scientific.net/KEM.474-476.1808},
  publisher = {Trans Tech Publ},
  timestamp = {2013.09.26}
}