基于遗传算法的低频标准振动台簧片式回复结构优化

doi:10.3969/j.issn.1000-1158.2021.11.08

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Abstract In order to effectively improve the flexible guiding performance and high-frequency working stability of the leaf spring recovery mechanism of the low-frequency standard vibrator, the working principle of the leaf-spring-type electromagnetic vibrator and its simplified electromechanical coupling model are analyzed. The influence of different combination of recovery spring sizes on the modal frequencies and output characteristics of the vibrator are obtained through the modal and harmonic response analyses based on Ansys. The results show that the width and thickness of the horizontal and side springs are the main influencing factors. Based on the multi-objective genetic algorithm, the optimal sizes of the horizontal and side springs are obtained iteratively under the condition of the vibrator output characteristics, and the second-order twisted mode frequency of the recovery spring is increased to 442.05Hz, which is nearly twice as much as the lowest value. The research results effectively expand the stable working frequency range and improve the working performance of the vibrator.

Key words： metrology low-frequency vibrator modal frequency genetic algorithm leaf spring recovery

Received: 02 March 2021 Published: 01 December 2021

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TB936

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	Articles by authors
	ZHANG Xu-fei
	ZHANG Feng-yang
	LI Kai
	QUAN Long

Cite this article:

ZHANG Xu-fei,ZHANG Feng-yang,LI Kai, et al. Optimization of Leaf-spring-type Recovery Mechanism for Low-frequency Standard Vibrator Based on Genetic Algorithm[J]. Acta Metrologica Sinica, 2021, 42(11): 1459-1465.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2021.11.08 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2021/V42/I11/1459

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