化工学报Issue(11)：4309-4314,6.DOI:10.3969/j.issn.0438-1157.2014.11.013
基于最小方差的对流换热准则式非线性回归算法及检验
Regression algorithm based on minimum variance and its application in heat exchanger measurement
摘要
Abstract
Correlation regression methods for heat exchanger have been developed in last several years, such as the method based on equal flow Reynolds number, the method based on equal flow velocity, and the Wilson plot technique, improvements of which contribute outstandingly in measuring heat transfer equipment. The defect in those methods is as follows. The methods based on equal flow Reynolds number and flow velocity restrict the flow conditions, duct structure and flow media in two ducts. The Wilson plot technique demands the exponent of Reynolds number. A new method is presented in this paper, which is similar to the Wilson plot technique but avoid above restrictions through searching proper coefficient and exponent in the correlation by examining the minimum variance in different fitting consequence, giving accurate heat transfer coefficients on the fixed side. The relation between two ducts is the thermal resistances in series. The method resolves the correlation fitting technique with a dichotomy, which is more accurate than linear regression analysis commonly used. The method is validated by simulated data first and then by experimental data. The result shows that the method is reasonable.关键词
传热/准则式回归/总传热系数Key words
heat transfer/correlation regression/overall heat transfer coefficient分类
能源科技引用本文复制引用
冷学礼,邱燕,田茂诚,李蔚..基于最小方差的对流换热准则式非线性回归算法及检验[J].化工学报,2014,(11):4309-4314,6.基金项目
山东省科技发展计划项目（2012GGX10421）。@@@@ supported by the Science Development Project of Shandong (2012GGX10421) （2012GGX10421）
