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Fluid Viscence Measurement With Capiler Pipe Based On Internet Of Things (IoT)

EasyChair Preprint no. 6087

15 pagesDate: July 16, 2021

Abstract

. Capillary tube viscosity gauges or viscosities can measure the viscosity of fluids such as water, oil, and oil. Currently, there are still a lot of fluid viscosity tools that are done manually when measuring the impact of which there are many Human Errors caused by human errors. In addition, a fluid viscosity device with a capillary tube is also in the absence of an automatic and IoT-based system (Internet of Things). From these problems, an automatic fluid viscosity measuring device is designed to minimize human error or Human Error with a measurement system using a fluid pressure sensor and fluid velocity sensor which can measure the viscosity of a fluid automatically In this study, two methods were conducted, namely simulation and experimentation. Simulations were conducted using CFDs while experiments were conducted by designing viscometer measuring instruments using IoT-integrated capillary pipe methods.From the simulation results obtained a constant fluid speed along the pipe from input to output while for fluid pressure obtained a value that decreases from input to output with a maximum fluid velocity value of 505.129 cm/s and a maximum value of 0 cm/s while for pressure the maximum value is 1.5e+07 dyne/cm² and a minimum value of 2e+0d dyne/cm².While from the test results of the tool that has been designed to wake up, the results of fluid viscosity are constant, for the speed and pressure are also obtained constant results with a water viscosity value of 21 Pa.s, Oil Vvskosity 28 Pa.s, and oil viscosity 29 Pa.s.

Keyphrases: Capillary metod, IoT, Viscometer

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:6087,
  author = {Herry Sufyan Hadi and Putri Yeni Aisyah and Achmad Mabrur},
  title = {Fluid Viscence Measurement With Capiler Pipe Based On Internet Of Things (IoT)},
  howpublished = {EasyChair Preprint no. 6087},

  year = {EasyChair, 2021}}
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