be characterized by the operating conditions and requirements of the
application. In this study a statistical analysis is developed to formu-
late the fouling model of a shell and tube heat exchanger. Analyz-
ing the fouling data over a period of observation, the K-S statistics
is utilized to develop the fouling growth model.
For the time required to reach critical fouling level, the cumula-
tive distributive function (CDF) can be given as [19,20]
(9)
Where i=1, 2, ……., Nf
for the i
th
event of time to reach the critical
level of fouling and F(ti
) is the cumulative value of F(t) at t=ti
.
The probability of -ree operation of the exchanger can be expressed
in terms of the probability function R(t) defined as
(10)
The degree of cumulative damage to the heat exchanger can be ex-
pressed in terms of cumulative hazard function H(t) [19,20]
∂mst , ()用统计学的方法对热传递进行数值模拟和对管壳式换热器进行污垢分析摘要:通过适当的监控,问题可以在经济因素受到威胁之前被识别并且被很好的提取出来。相对于大多数传统的方法,当换热器在瞬态状态下工作时污垢可以被检测到。数据分析法用来当换热器受到污垢影响时创建一个污垢增长模型。数据分析方法有四种方法,其中正态分布的方法被认为是对这次的实验最合适的方法。本论文中中,实验采用了一个单管式换热器,在换热器中装水分别充当冷、热流体。结果表明:所推荐的方法对测试换热器的临界污染非常有用,这个方法可以被用于预测最佳文修计划。今后,这项工作的结果可以在根据换热器的污染预测换热器效率的减少程度,同时也便于协助换热器的操作人员制定清洁计划。