Neural network prediction of slurry erosion wear of ni-wc coated stainless steel

HIGHLIGHTS

  • who: Sourabh Kumar et al. from the Peter the Great StPetersburg Polytechnic University, StPetersburg, Russia have published the paper: Neural Network Prediction of Slurry Erosion Wear of Ni-WC Coated Stainless Steel, in the Journal: Metals 2022, 12, 706. of /2022/
  • what: __SECTION__ 6. Conclusions.

SUMMARY

    10.3390/met12050706 Slurry pipelines are commonly utilized to transport solid goods across short and large distances using carrier fluids. Other factors that impact solid-liquid flow behavior include particle size, solid material concentration, flow velocity, slurry viscosity and density. Artificial neural_networks (ANN) models are . . .

     

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