Prediction of refractive index and density of supercritical carbon dioxide based on GA-BP neural network

SUN Hui; ZHANG Lixin; YANG Qiguo; GAO Ming; LIU Jingnan

doi:10.19666/j.rlfd.202004121

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Prediction of refractive index and density of supercritical carbon dioxide based on GA-BP neural network

更新时间：2025-09-28

- Prediction of refractive index and density of supercritical carbon dioxide based on GA-BP neural network
- Thermal Power Generation Vol. 49, Issue 10, Pages: 59-64(2020)
- 作者机构：
  
  1. 上海理工大学能源与动力工程学院
  2. 上海市动力工程多相流动与传热重点实验室
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202004121
  CLC： TK121
- Published Online：15 September 2020，
  
  Published：2020
- 稿件说明：
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SUN Hui, ZHANG Lixin, YANG Qiguo, et al. Prediction of refractive index and density of supercritical carbon dioxide based on GA-BP neural network[J]. Thermal power generation, 2020, 49(10): 59-64.
DOI：

SUN Hui, ZHANG Lixin, YANG Qiguo, et al. Prediction of refractive index and density of supercritical carbon dioxide based on GA-BP neural network[J]. Thermal power generation, 2020, 49(10): 59-64. DOI： 10.19666/j.rlfd.202004121.

摘要

基本光学性质折射率是研究物质物理性质的重要参数。本文以超临界二氧化碳(S-CO_2)为对象

整合各文献在不同温度、压力下对S-CO_2折射率的测量数据

使用遗传算法(GA)优化后的BP神经网络建立了预测S-CO_2折射率的模型

并基于S-CO_2密度与波长、折射率内在联系的洛伦兹-洛伦兹关系式

对S-CO_2的密度进行反演。结果表明:该模型预测S-CO_2折射率的最大相对误差仅为0.844%;反演的S-CO_2密度值同REFPROP软件结果相比

平均误差不超过3.65%;在亚临界和超临界区

通过实验测量折射率来研究CO_2物性是可行的;在近临界区

由于CO_2物性变化剧烈

对折射率变化规律的测量及折射率与CO_2物性的关系尚需进一步研究。

Abstract

The refractive index is an important parameter to study the physical properties of materials. This paper takes supercritical carbon dioxide(S-CO_2) as the object to integrate the measured data of S-CO_2 refractive index of various literatures at different temperatures and pressures. The BP neural network optimized by genetic algorithm(GA) is used to establish a model for predicting S-CO_2 refractive index

and the density of S-CO_2 is inverted based on the Lorentz-Lorenz relationship between S-CO_2 density and wavelength and refractive index. The results show that

the maximum error of the model is 0.844%. The average error of inversion of S-CO_2 density value is no more than 3.65% compared with that of REFPROP. It is feasible to study the physical property of CO_2 by experimental measurement of refractive index in subcritical and supercritical regions. In the near critical region

due to the drastic change of the physical property of CO_2

the measurement of the law of refractive index change and the relationship between the refractive index and the physical property of CO_2 still need to be further studied.

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