Alsalaet Jaafar, Munahi Basil Sh, Al-Sabur Raheem, Al-Saad Mohammed, Ali Abdulbaki K, Shari B Abdulbaseer, Fadhil Hayder Ali, Laftah Rafil M, Ismael Muneer
University of Basrah, Engineering College, Basrah, 61004, Iraq.
Flow Meas Instrum. 2021 Dec;82:102058. doi: 10.1016/j.flowmeasinst.2021.102058. Epub 2021 Oct 1.
The rapid and sudden attack of the covid-19 pandemic has emerged the urgent need for pulmonary resuscitation devices (ventilators). The airflow sensor is a main element in the ventilator. Sensing very low airflow rates is an essential requirement to meet the least significant bit of the analogue to digital converter included in the ventilator. This short communication describes the fabrication and test of five flow sensors using basic and the 3D printing techniques to overcome the severe challenge arising from the pandemic under strict quarantine. The principle of these five flow sensors is based on Fleisch pneumotachograph technology, which creates a pseudo-laminar flow within a bundle of capillary tubes. Amongst the five tested sensors, those fabricated by 3D printing technique were the most accurate and reliable. Results show that the 3D printed sensor of 33 trapezoidal capillary tubes and displaced pressure taps meet the requirement of sensing flowrates with less resistance to patient at exhalation and more linearity figure. The experimental data were correlated using a sophisticated MMF correlation with an R-squared factor of 0.9999 and a percentage error of 1.68%.
新冠疫情的迅速突然爆发凸显了对肺复苏设备(呼吸机)的迫切需求。气流传感器是呼吸机的一个主要部件。感知极低的气流速率是满足呼吸机中模数转换器最低有效位的一项基本要求。本简短通讯描述了使用基础技术和3D打印技术制造和测试五种流量传感器的过程,以克服在严格隔离状态下疫情带来的严峻挑战。这五种流量传感器的原理基于弗莱施呼吸流速描记器技术,该技术在一束毛细管内产生伪层流。在测试的五种传感器中,采用3D打印技术制造的传感器最为精确可靠。结果表明,具有33个梯形毛细管和错位压力 taps 的3D打印传感器满足了在呼气时对患者阻力较小且线性度更高的情况下感知流速的要求。使用复杂的MMF相关性对实验数据进行关联,相关系数R平方为0.9999,百分比误差为1.68%。