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基于统计数据的分体式空调系统泄漏点及成因分析
引用本文:葛滢滢,杨昭,贺红霞,陈裕博. 基于统计数据的分体式空调系统泄漏点及成因分析[J]. 制冷学报, 2021, 42(5): 56-63
作者姓名:葛滢滢  杨昭  贺红霞  陈裕博
作者单位:天津大学 中低温热能高效利用教育部重点实验室
基金项目:国家自然科学基金重点项目(51936007)。
摘    要:环保类工质应用于空调系统已成为当前研究热点,但其可燃性不容忽视,一旦发生泄漏则存在巨大安全隐患.本文基于某高市场占有率的空调厂家的统计数据,利用故障树分析法建立了分体式空调系统泄漏模型,并对其泄漏成因及泄漏位置进行定性定量分析.结果表明:分体式空调室外侧发生泄漏的概率约为2.72×10-3,高于室内侧泄漏的概率(2.7...

关 键 词:空气调节系统  制冷剂  泄漏  故障树分析
收稿时间:2021-04-14
修稿时间:2021-05-25

Leakage Components and Causes Analysis of Split Air-conditioning System Based on Statistical Data
Ge Yingying,Yang Zhao,He Hongxi,Chen Yubo. Leakage Components and Causes Analysis of Split Air-conditioning System Based on Statistical Data[J]. Journal of Refrigeration, 2021, 42(5): 56-63
Authors:Ge Yingying  Yang Zhao  He Hongxi  Chen Yubo
Affiliation:Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Tianjin University
Abstract:The application of environmentally friendly refrigerants to air-conditioning systems is receiving considerable research attention; however, the flammability of the refrigerants cannot be ignored. Leaks represent a significant potential safety hazard. In this study fault tree analysis is used to establish a split air-conditioning system leakage model using statistical data from an air-conditioning manufacturer with a high market share. A qualitative and quantitative analysis of the causes of leakage and the components involved, is conducted. The results show that the probability of leakage on the outdoor side of the split air-conditioning system is approximately 2.72×10-3, which is higher than the probability of 2.74×10-4 on the indoor side. The most likely components to become a source of leakage by descending probability on the outdoor side are the outdoor pipe connection bell mouth, condenser, four-way valve, and two-way valve. In contrast, on the indoor side the most likely components to become a source of leakage by descending probability are the evaporator piping, evaporator elbow, evaporator inlet, and outlet connecting pipe. The causes of system leakage by descending probability are process defects, improper brazing, improper operation, and fatigue cracks. This study provides data support for the in-depth study of the selection of leak-prone points for split air-conditioning systems and provides comprehensive guidance for leakage prevention.
Keywords:air-conditioning system   refrigerant   leakage   fault tree analysis
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