激光量热计不确定度分析

Uncertainty analysis of laser calorimetry

  • 摘要: 基于激光量热平台,对ISO 11551涉及的3种弱吸收数据处理方法指数法、脉冲法和梯度法进行了不确定度分析。从回归分析的角度对拟合参数和A等进行了不确定度评估,采用Matlab软件进行不确定度的计算。采用B类评定法对质量、功率等测量参数进行不确定度评估。随机选取样本进行多次测量,验证了本文不确定度评估的有效性。分析和实验表明,拟合偏差是弱吸收测量不确定度的主要来源。指数法的相对不确定度约为0.0129,脉冲法的相对不确定度约为0.0029,是最优的数据处理方法,梯度法采用的样本点过于单一,相对不确定度约为0.0961。提高量热计精度的可行途径是改进数据处理方法和提高激光功率测量精度。

     

    Abstract: Based on a laser calorimetry instrument, the error source of the measurement or uncertainty of weak absorption were analyzed with the exponential method, pulse method and gradient method given in ISO 11551. The uncertainties of the parameters such as mass and laser power were evaluated by B method, while the uncertainties of the parameters induced by fitting and residual errors were evaluated by regression analysis and calculated by MATLAB. A sample was picked up randomly to make measurement repetitively, proving the feasibility of the evaluation. It was revealed that the fitting error contributed notably to the uncertainty of absorption calculation. The relative uncertainty of exponential method was approximately 0.0129, and the uncertainty of the pulse method was 0.0029, proving that the pulse method was the best among the three. The gradient method adopted no more than 2 points in temperature data, and had a relative uncertainty about 0.0961. The promising way to increase the precision of calorimetry is to improve the data processing method and the laser power measurement.

     

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