基于统计分析的有机硅-乙醇软执行器行为辨识

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Hojat Zamyad, Samaneh Sahebian, Javad Safaie
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引用次数: 0

摘要

有机硅-乙醇致动器是一种新型的人造肌肉,它基于弹性基体内乙醇相在液体和气体状态之间的转换而膨胀和收缩。然而,对影响其性能的参数缺乏准确的排序。本研究采用尖端的统计和定性方法对该执行器的行为特性进行排序。本研究首次研究了功率强度对硅-乙醇作动器性能和结构变化的影响。研究发现,使用更强的功率增加了执行器的响应速度,但也加剧了其结构损伤。结果表明,能量和温度是预测有机硅-乙醇致动器动态行为的最关键变量,而乙醇含量和施加功率是长期最重要的功能特征。希望这种科学方法将被用来区分其他新发现的智能材料的真实和虚拟行为指标,其中没有完整的物理和化学方程的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Behavior Identification of Silicone-Ethanol Soft Actuator Based on Statistical Analysis

Behavior Identification of Silicone-Ethanol Soft Actuator Based on Statistical Analysis
Silicone-ethanol actuator is a new type of artificial muscle that expands and contracts based on the switching of the ethanol phase between liquid and gas states within the elastomeric matrix. However, there is a lack of accurate ranking of the parameters that affect its performance. This research uses cutting-edge statistical and qualitative methods to rank the behavioral characteristics of this actuator. In this research, the effect of the power intensity on the performance and structural changes of the silicone-ethanol actuator is investigated, for the first time. It is found that the use of more intense power increased the response speed of the actuator, but also intensifies its structural damage. Also, the results show that energy and temperature are the most crucial variables in predicting the dynamic behavior of the silicone-ethanol actuator while ethanol content and applied power are the most important functional characteristics in the long term. It is hoped that this scientific approach will be leveraged to distinguish real from dummy behavioral indices of the other newfound smart materials, where there is no complete knowledge of their governing physical and chemical equations.
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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