• The Journal of the Acoustical Society of Korea
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• v.18 no.1E
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• pp.20-26
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• 1999

Although the radiation impedance of a transducer with a regular square surface has been studied by many researchers, the formulas are still very complicated, which results in long computation time and low accuracy. In this paper, we propose a new algorithm for the calculation of acoustic radiation impedance in which the regular square vibrating surface of a transducer is divided into small elements and duplicate calculations are eliminated in the process of calculating mutual effects of the elements. Using this algorithm, shorter computation time and higher accuracy of results can be obtained. As a demonstration, the self and the mutual radiation impedance of transducers with a regular square surface are calculated and the accuracy of the results is evaluated.

• The Journal of the Acoustical Society of Korea
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• v.19 no.7
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• pp.85-89
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• 2000

In this paper, by extending the previously developed self- and mutual-radiation impedance calculation method for a regular-square vibrating surface by using numerical series, we proposed a method to obtain the self-radiation impedance of a rectangular transducer with an arbitrary integer ratio of the length to width. The proposed method exhibits high accuracy and a short computation time. After investigating the accuracy and computation time as the number of elements changes, we have calculated the self-radiation impedance of several rectangular transducers, and compared the results with those in the literature.

• The Journal of the Acoustical Society of Korea
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• v.36 no.2
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• pp.108-114
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• 2017

We have experimentally analyzed the self-radiation impedance of an ultrasonic transducer with a square radiation surface that is used as a vibrator in underwater ultrasonic detection systems. The radiation reactance and the radiation resistance were measured in the range from 1 to 3 of ka that is the product of a wave number and a length of the edge of the square vibrator. By comparing the measured results with those of theoretical calculation of the radiation impedance using a series, we confirmed the validity of the experimental method and experimentally confirmed the variation trend in the radiation impedance of the square radiation surface.

• The Journal of the Acoustical Society of Korea
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• v.29 no.7
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• pp.422-430
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• 2010

The radiation property of a Tonpilz transducer is influenced by the structural variables of the transducer. In this study, with respect to a single mode Tonpilz transducer, the radiation patterns were calculated for different head mass geometries of the same effective radiation area. The shapes of the head mass analyzed were the most popular circular, regular triangular, square, regular hexagonal and regular octagonal types, and radiation pattern equations were derived for each of the head mass shapes. Based on the derived equations, radiation patterns in accordance with the shape and size of the head mass were calculated and the results were compared with each other. Validity of the calculation results were confirmed by means of finite element analysis.

• Journal of Sensor Science and Technology
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• v.10 no.6
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• pp.286-294
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• 2001

In this study, 3-D underwater object recognition using the self-made 3-3 type composite ultrasonic transducer and modified SOFM(Self Organizing Feature Map) neural network are investigated. Properties of the self-made 3-3 type composite specimens are satisfied considerably with requirements as an underwater ultrasonic transducer's materials. 3-D underwater all object's recognition rates obtained from both the training data and testing data in different objects, such as a rectangular block, regular triangular block, square block and cylinderical block, were 100% and 94.0%, respectively. All object's recognition rates are obtained by utilizing the self-made 3-3 type composite transducer and SOFM neural network. From the object recognition rates, it could be seen that an ultrasonic transducer fabricated with the self-made 3-3 type composite resonator will be able to have application for the underwater object recognition.