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作 者:刘志猛 邓橙 詹宁波 王运斗 杨坤 刘圣军 高磊 朱孟府 LIU Zhimeng;DENG Cheng;ZHAN Ningbo;WANG Yundou;YANG Kun;LIU Shengjun;GAO Lei;ZHU Mengfu(Department of Medical Engineering,Medical Support Center of PLA General Hospital,Beijing 100039,China)
机构地区:[1]解放军总医院第五医学中心医学工程科,北京100039 [2]军事科学院系统工程研究院卫勤保障技术研究所,天津300161
出 处:《中国急救复苏与灾害医学杂志》2020年第12期1439-1441,共3页China Journal of Emergency Resuscitation and Disaster Medicine
基 金:国家重点研发计划(编号:2017YFC0806403)。
摘 要:目的为提高微型变压吸附制氧机的产氧浓度,对微型变压吸附制氧机的工艺参数进行优化。方法首先建立微型变压吸附制氧工艺流程,以吸附时间、均压时间和产氧流量为考察因素,利用Design-Expert软件建立3因素3水平的实验设计,以产氧浓度为响应值进行响应面实验并建立相应的数学模型,然后分析各因素之间的交互作用对制氧浓度的影响,最后对所得参数进行优化和检验。结果微型变压吸附制氧机的最佳工艺参数为吸附时间3.04 s、均压时间0.31 s和产氧流量0.80 L/min,在此条件下制氧机产氧浓度可达93.0%,与预期值的相对误差为0.2%。结论响应面法优化微型变压吸附制氧机的工艺参数具有可行性,可有效预测制氧机的产氧浓度。Objective To improve the oxygen concentration of micro PSA oxygen generator,the process parameters of micro PSA oxygen generator were optimized.Methods Firstly,the micro PSA oxygen production process was established.The adsorption time,average pressure time and oxygen production flow rate were taken as the investigation factors,and the experimental design of three factors and three levels was established by using design-expert software.The response surface optimization was carried out with the oxygen concentration as the response value,after that,the corresponding mathematical model was established.Then,the effects of the interaction between various factors on oxygen production concentration were analyzed,and finally the obtained parameters were optimized and tested.Results The optimal process parameters of the micro PSA oxygen generator are as follows.The adsorption time was 3.04 s,the pressure equalizing time was 0.31 s,and the oxygen output flow rate was 0.80 L/min.Under these conditions,the oxygen concentration can reach 93.0%,and the relative error with the expected value is only 0.2%.Conclusion The oxygen concentration of oxygen generator can be predicted effectively which means it is feasible to optimize the process parameters of micro PSA oxygen generator by response surface method.
分 类 号:TP20[自动化与计算机技术—检测技术与自动化装置]
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