Rheological identification of jetted fluid using machine learning

HIGHLIGHTS

• who: Guillaume Mau00eetrejean and colleagues from the CNRS France have published the research work: Rheological identification of jetted fluid using machine learning, in the Journal: (JOURNAL)
• what: The aim of this paper to identify the rheological properties of fluid jetted using Continuous Inject Printing (CIJ) process by comparing the morphology of the aforementioned jetted fluid to dataset of known (rheologically-speaking) fluid jets morphologies. properties of fluid by the viscosity the surface tension and the density of fluids using large datasets and Continuous Inject Printing (CIJ) process. Using large numerically-generated dataset of Newtonian fluid . . .
  

   

  

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