Notice: Undefined index: linkPowrot in C:\wwwroot\wwwroot\publikacje\publikacje.php on line 1275
[98050] Rozdział: Methodology of Experimental Research of Aeroelastic Interaction Between Two-Phase Flow and Deflecting Elements for Modular Separation Devicesw książce: Advanced Manufacturing Processes. InterPartner 2019. Lecture Notes in Mechanical EngineeringISBN: 978-3-030-40723-0 Wydawca: Springer Opublikowano: 2020 Miejsce wydania: Cham Seria wydawnicza: Lecture Notes in Mechanical Engineering Liczba stron: 11 Liczba arkuszy wydawniczych: 0.50 Autorzy / Redaktorzy / Twórcy Grupa MNiSW: Autorstwo rozdziału w monografii z listy wydawnictw 2019 Punkty MNiSW: 20 DOI Keywords: Aerohydroelasticity problem Gas-dynamic separation device Arduino Test stand Measuring system  |
One of the promising methods for efficiency increase of heterogeneous systems separation is the gas-dynamic separation method. Devices that implement this method act like the automatic control systems that have as a controlled action (elastic force) and the regulating object (hydraulic resistance). It should be noted that calculations of these devices contain a number of difficulties with the solution of the aerohydroelasticity problem. To overcome the above difficulties, the process of the calculation methodology for this separation devices was divided into three stages. The first stage considers accounting only a gas phase, the second stage – both liquid and gas phase, and the third stage – the mechanical vibrations impact on the separation efficiency. This paper describes the development of the test stand for experimental studies of the dynamic separation devices, which is necessary at each stage. The designed test stand allows one to determine the deflections and stresses of deformable elements, amplitudes and frequencies of oscillations, as well as the gauge pressure and separation efficiency by using a single board computer Arduino MEGA 2560 uploaded software for collecting data from the sensors. The ADC Delta-Sigma Data Acquisition Shield for Arduino is used to achieve better accuracy through over-sampling, digital filtering, noise shaping, decimation, and synchronization of measurements from all connected sensors.