界面粗糙度条件对铆接悬臂梁阻尼的影响

IF 1.4 Q2 ENGINEERING, MULTIDISCIPLINARY
S. Yemineni, M. Kutchibotla, Subba Rao V.V.
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引用次数: 0

摘要

目的深入分析两层铆接悬臂梁共同界面的表面粗糙度条件对其在第一模态自由横向振动过程中摩擦阻尼的影响。这里,乘积(µ×α)和阻尼比ξ是本研究中分析其变化的参数。为此,考虑的影响参数为振动的固有频率f;初始激励的振幅,y;和表面粗糙度值,Ra.Design/metrology/approach为了通过实验评估对数阻尼衰减率d,使用了自由横向振动情况下的频率响应函数分析仪。后来,为了评估产品,µ×α(其中µ是运动摩擦系数,α是动态滑移率),然后使用阻尼比ξ,即铆接悬臂梁对数阻尼衰减率d的经验关系。之后,在Design Expert 11软件的帮助下,使用了产品的全二次模型和简化二次模型µ×α,ξ,响应面方法(RSM)。获得了相应的主效应图、表面图和预测比较图,以观察影响参数f、y和Ra变化的乘积µ×α、ξ的变化。最后,使用MATLAB R13a软件中的“nntool”,使用机器学习技术(如人工神经网络)来预测f、y和Ra的不同组合的ξ,根据参数f、y和Ra,得到了铆接悬臂梁在第一模态自由横向振动下的ξ。此外,还获得了产品µ×α,ξ的主效应图、表面图和预测比较图,以及产品µ×a,ξ相应的实验值。此外,与从Design Expert 11软件获得的二次回归方程相比,使用MATLAB R13a软件执行Ann被证明是预测阻尼比的更准确的工具。最后,使用从Design Expert 11软件获得的产品(µ×α)和ξ的主要影响图,证明了表面粗糙度值对产品(µxα)和阻尼比ξ的影响可以忽略不计的假设是正确的。独创性/值根据参数f、y和Ra,获得了双层铆接悬臂梁的乘积(µ×α)和ξ的完整和简化二次回归方程。此外,还获得了乘积(µ×α)和ξ的相应最小值和最大值的条件。随后,还获得了预测产物(µ×α)和ξ与实验产物(µxα)和ζ的主效应图、表面图和比较图。最后,与使用Design Expert 11软件从RSM获得的值相比,使用ANNs工具的产品预测值(µ×α)和ξ是更准确的值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of interfacial surface roughness condition on damping of riveted cantilever beams
Purpose This paper aims to analyze deeply the effect of surface roughness conditions of the common interface of the two-layered riveted cantilever beams on their frictional damping during free lateral vibration at first mode. Here, the product, (µ × α), and damping ratio, ξ, are the parameters whose variations are analyzed in this investigation. For this, the influencing parameters considered are the natural frequency of vibration, f; the amplitude of initial excitation, y; and surface roughness value, Ra. Design/methodology/approach For experimentally evaluating logarithmic damping decrement, d, the frequency response function analyzer for the case of free lateral vibrations was used. Later, for evaluating the product, µ × α (where µ is the kinematic coefficient of friction and α is the dynamic slip ratio), and then, the damping ratio, ξ, the empirical relation suggested for logarithmic damping decrement, d, of riveted cantilever beams was used. After this, the full and reduced quadratic models of the product, µ × α, ξ, response surface methodology (RSM) with the help of Design Expert 11 software was used. Corresponding main effects plots, surface plots and prediction comparison plots were obtained to observe the variations of the product, µ × α, ξ for the variations of influencing parameters: f, y and Ra. Finally, a machine learning technique such as artificial neural networks (ANNs) using “nntool” present in MATLAB R13a software was used to predict the ξ for the different combinations of f, y and Ra. Findings The full and reduced quadratic regression models for the product, (µ × α) and the damping ratio, ξ of riveted cantilever beams for free lateral vibrations of the first mode in terms of the parameters: f, y and Ra were obtained. In addition, the main effects plots, surface plots and prediction comparison plots for the product, µ × α, ξ, with the corresponding experimental values of the product, µ × α, ξ, were obtained. Also, the execution of ANNs using MATLAB R13a software is proved to be the more accurate tool for the prediction of damping ratios in comparison to quadratic regression equations obtained from Design Expert 11 software. In the end, the assumption that the effect of surface roughness value on the product, (µ × α), and the damping ratio, ξ, is negligible is proved to be true using the main effects plots for the product, (µ × α) and ξ obtained from the Design Expert 11 software. Originality/value Obtaining the full and reduced quadratic regression equations for the product, (µ × α), and ξ of the two-layered riveted cantilever beams in terms of parameters: f, y and Ra was done. In addition, the conditions for the corresponding minimum and maximum values of the product, (µ × α), and ξ were obtained. Later, the main effects plots, surface plots and comparison plots of the predicted product, (µ × α), and ξ versus experimental product, (µ × α), and ξ were also obtained. Finally, the predicted values of the product, (µ × α), and ξ using the ANNs tool are observed to be the more accurate values in comparison to that obtained from RSM using the Design Expert 11 software.
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来源期刊
World Journal of Engineering
World Journal of Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
4.20
自引率
10.50%
发文量
78
期刊介绍: The main focus of the World Journal of Engineering (WJE) is on, but not limited to; Civil Engineering, Material and Mechanical Engineering, Electrical and Electronic Engineering, Geotechnical and Mining Engineering, Nanoengineering and Nanoscience The journal bridges the gap between materials science and materials engineering, and between nano-engineering and nano-science. A distinguished editorial board assists the Editor-in-Chief, Professor Sun. All papers undergo a double-blind peer review process. For a full list of the journal''s esteemed review board, please see below.
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