叠加式力标准装置系统误差修正研究

发布时间：2018-02-28 18:01

本文关键词： 超大力值叠加式力标准装置系统误差误差修正　出处：《仪器仪表学报》2016年11期 　论文类型：期刊论文

【摘要】：超大力值叠加式力标准装置是力值计量领域研究的前沿和热点,消除系统误差对提高叠加式力标准装置的准确度水平具有重要意义。提出一种叠加式力标准装置系统误差修正的方法与流程,并对本方法中系统误差的外推提出了4种不同的外推方法。通过对3台不同结构的300 k N和一台20 MN叠加式力标准装置的实验对比研究,确定最优误差外推方法,并利用该方法对一台60 MN叠加式力标准装置进行力值修正,该装置修正后与英国国家物理实验室30 MN叠加式力标准机的力值比对相对偏差不超过±0.06%,E_n值小于1。研究结果表明:在叠加式力标准装置修正前示值误差方程的外推中,宜采用1次或2次多项式方程进行外推,避免因方程次数较高,导致外推结果发散;在叠加式力标准装置结构设计时,应尽量优化其线性度,减小外推误差,提高示值误差外推的准确性;本方法能有效减小叠加式力标准装置的系统误差,提高装置的力值准确度。
[Abstract]:The superimposed force standard device is the frontier and hot spot in the field of force measurement. It is very important to eliminate the system error to improve the accuracy level of the superposition force standard device. A method and flow chart for correcting the system error of the superposition force standard device is presented. Four different extrapolation methods are proposed for the extrapolation of systematic errors in this method. The optimal error extrapolation method is determined by comparing the experimental results of three 300 KN units with different structures and a 20mn superposition force standard device. The method is used to modify the force value of a 60 MN superposition force standard device. After correction, the force value ratio of this device with that of the 30mn superposition force standard machine of the National Physics Laboratory of England is not more than 卤0.06e / n less than 1. The research results show that: in the extrapolation of the error equation of the indication value before the correction of the superposition force standard device, In order to avoid the divergence of extrapolation results due to the higher number of equations, the linear degree of superposition force standard device should be optimized to reduce the extrapolation error. This method can effectively reduce the systematic error of the superposition force standard device and improve the accuracy of the force value of the device.
【作者单位】：福州大学机械工程及自动化学院;福建省计量科学研究院;
【基金】：国家质量监督检验检疫总局科技计划(2015QK295) 福建省属公益类科研院所基本科研专项(2014R1033-2)资助
【分类号】：TH823

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