| 微构件的力学性质分析与验证 |
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| 引用本文： | 罗钦平,孙华东.微构件的力学性质分析与验证[J].湖南文理学院学报(自然科学版),2011(2):37-39,54. |
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| 作者姓名： | 罗钦平 孙华东 |
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| 作者单位： | 中北大学应用力学研究所; |
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| 摘 要： | 分析了微悬臂梁的挠度与载荷、微悬臂梁的长度、宽度的力学关系.提出了一种改进的BP神经网络算法,并用该算法进行挠度与载荷在不同条件下关系的拟合实验,验证了力学分析的结论.理论和实验都表明:当其他参数固定时,挠度与悬臂梁的长度正相关,与悬臂梁的宽度负相关;挠度在较小的范围内与载荷呈线性关系,在形变位移到达最大值时接近于常量.
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| 关 键 词： | 改进BP网络 微构件 力学性质 |
Analysis and verification for mechanical properties of micro component |
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| LUO Qin-ping,SUN Hua-dong.Analysis and verification for mechanical properties of micro component[J].Journal of Hunan University of Arts and Science:Natural Science Edition,2011(2):37-39,54. |
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| Authors: | LUO Qin-ping SUN Hua-dong |
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| Institution: | LUO Qin-ping,SUN Hua-dong(Institute of Applied Mechanics,North University of China,Taiyuan 030051,China) |
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| Abstract: | According to the increasing demand for performance of Micro components for MEMS(Micro-Electro-Mechanical System),it is very important to research the mechanics properties of micro component.The relationship between the deflection and load of the microcantilever beam,the deflection and the length and the width of microcantilever beam are analyzed.The improved BP neural network algorithm is applied,the Data Fitting experiment is done to validate the relationship of Deflect and Load under different conditions ... |
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| Keywords: | improvemed BP network micro component mechanics properties |
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