基于人工神经网络的乐甫波液体密度粘度并行检测研究

doi:10.3969/j.issn.1000-1158.2017.06.14

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Abstract When Love wave device is loaded with liquid, the liquid density and viscosity are coupling together, its hard to use the Love wave device for the parallel measurement of liquid density and viscosity directly. Based on the background mentioned above, the theoretical model of liquid sensing by the Love wave device composed of both piezoelectric substrate and piezoelectric film is established, the parallel measurement method of liquid density and viscosity based on the artificial neural networks is presented. Utilizing the numerical values calculated by the theoretical model as the training data, the liquid density and viscosity are forecasted parallel by the Love wave propagation velocity and attenuation. The comparison between the forecast results and the theoretical simulation shows the effectiveness of the method.

Key words： metrology Love wave density viscosity parallel measurement artificial neural networks

Received: 17 October 2016 Published: 27 September 2017

PACS:

TB933

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	Articles by authors
	CHEN Zhi-jun
	HAN Chao
	CHEN Tao
	CHEN Zhao-xing
	PENG Fu-qiang

Cite this article:

CHEN Zhi-jun,HAN Chao,CHEN Tao, et al. Research on Parallel Measurement of Liquid Density and Viscosity Using Love Wave Based on Artificial Neural Networks[J]. Acta Metrologica Sinica, 2017, 38(6): 721-724.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2017.06.14 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2017/V38/I6/721