SW-RheoPINN: Physics-Informed In-Line Estimation of Pipe-Effective Yield Stress from Pressure-Flow Measurements Article

Rayhan, Md Munim, Saha, Anirban, Somadder, Somnath et al. (2026). SW-RheoPINN: Physics-Informed In-Line Estimation of Pipe-Effective Yield Stress from Pressure-Flow Measurements . Fluids, 11(9), 10.3390/fluids11090236

cited authors

  • Rayhan, Md Munim; Saha, Anirban; Somadder, Somnath; Hossen, Anzaman; Hasan, Fuad; Sarker, Md Sharif Ahmed; McDaniel, Dwayne

authors

publication date

  • September 17, 2026

published in

keywords

  • Bingham fluid
  • LIQUID
  • Mechanics
  • NEURAL-NETWORKS
  • Physical Sciences
  • Physics
  • Physics, Fluids & Plasmas
  • RHEOLOGY
  • SUSPENSIONS
  • Science & Technology
  • Technology
  • in-line sensing
  • inverse rheology
  • kaolin slurry
  • physics-informed neural network
  • pipe rheometer
  • pressure loss
  • uncertainty quantification
  • yield stress

Digital Object Identifier (DOI)

publisher

  • MDPI

volume

  • 11

issue

  • 9