基于在线监测排气参数的吸气带液状态预测方法研究
Prediction Method of Suction Zone Liquid State Based on Online Monitoring of Exhaust Parameters

制冷压缩机吸气状态是衡量压缩机安全运行及制冷循环经济运行的重要指标之一，但吸气状态如干度和过热度无法通过测量直接得到，尤其对于制冷负荷大、制冷剂流量大的系统。本文以一定可实测参数如压缩机排气温度、压力等作为指标建立吸气状态预测模型，判断压缩机吸气状态，分别计算出过热度或吸气干度。结果表明：压缩机排气温度、冷凝温度及蒸发温度对压缩机吸气干度的影响均近似线性。模型具有较大的适用范围：蒸发温度﹣35~12 ℃，冷凝温度35~68 ℃，吸气干度计算值最低可达0.76。
The suction state of a compressor is among the most important indicators of its safety and efficiency, but the suction state cannot be measured accurately, particularly for a system with a large refrigerating capacity and high refrigerant flow rate. Based on a certain number of measured parameters, such as temperature, pressure, and other parameters, asuctionstate prediction model is established to determine whether the suction state is in the superheated or two-phase region and calculate the superheating degree and vapor quality of suction, respectively. The results show that the compressor exhaust, condensation, and evaporation temperatures have a linear effect on the vapor quality of suction. The model works in a wide range, with the evaporation temperature﹣35–12 ℃, the condensation temperature 35–68 ℃, and the minimum vapor quality 0.76