工程车辆传动系载荷谱编制方法

为研究工程车辆传动系疲劳载荷谱的编制方法,采集了装载机5种典型工况的传动件载荷信号,采用作业循环分成6段处理的方式,对原始信号进行预处理和特性分析,得到反映载荷变化规律的真实信号。对变速箱后传动法兰,利用雨流计数法对其载荷时间历程进行了统计处理,结果表明：后传动法兰铲掘段均值分布服从均值为1910N·m、标准差为537.8N·m的正态分布,其幅值服从三参数威布尔分布,并且均值和幅值相互独立。根据各个工况的作业时间比例,进行频次外推和合成,利用二维概率分布函数,建立了各作业段的8×8级二维载荷谱。应用Goodman方法,将二维载荷谱转化为8级一维载荷谱,编制成反映装载机传动系受载情况的程序载荷谱...

Full description

Saved in:
Bibliographic Details
Published in农业工程学报 Vol. 27; no. 4; pp. 179 - 183
Main Author 张英爽 王国强 王继新 贾海波 章二平
Format Journal Article
LanguageChinese
Published 吉林大学机械科学与工程学院,长春,130022%广西柳工机械股份有限公司技术中心,柳州,545007 2011
Subjects
传动装置
外推
概率分布函数
谱
车辆
载荷
车辆
谱
外推
载荷
概率分布函数
传动装置
Online AccessGet full text
ISSN1002-6819
DOI10.3969/j.issn.1002-6819.2011.04.031

Cover

More Information
Summary:为研究工程车辆传动系疲劳载荷谱的编制方法,采集了装载机5种典型工况的传动件载荷信号,采用作业循环分成6段处理的方式,对原始信号进行预处理和特性分析,得到反映载荷变化规律的真实信号。对变速箱后传动法兰,利用雨流计数法对其载荷时间历程进行了统计处理,结果表明：后传动法兰铲掘段均值分布服从均值为1910N·m、标准差为537.8N·m的正态分布,其幅值服从三参数威布尔分布,并且均值和幅值相互独立。根据各个工况的作业时间比例,进行频次外推和合成,利用二维概率分布函数,建立了各作业段的8×8级二维载荷谱。应用Goodman方法,将二维载荷谱转化为8级一维载荷谱,编制成反映装载机传动系受载情况的程序载荷谱。该方法可为工程车辆传动系寿命预测以及疲劳寿命试验提供参考。
Bibliography:Zhang Yingshuang, Wang Guoqiang, Wang Jixin※, Jia Haibo,Zhang Erping （1.College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China;2. Technology Center, Liugong Machinery Co. Ltd, Liuzhou 545007, China）
vehicles; power; loads spectrum; probability distribution function; extrapolation
11-2047/S
To study the compilation method for load spectrum of engineering vehicle power transmission, the load signals of a wheel loader were collected in 5 typical cases. The operating cycle was divided into six operating sections for signal processing. The real load signals that reflect dynamic variation of torque loads, were obtained after signals pretreatment and characteristics analysis. The load signals of the rear drive flange were taken as an illustration. The measured load time histories were processed by means of rain flow counting method. After statistical analysis, it was found that the distributions of load amplitude and mean were independent and obeyed Weibull distribution with three-para
ISSN:1002-6819
DOI:10.3969/j.issn.1002-6819.2011.04.031