Inverse Methods For Computational Simulations And Optimization Of Erosion Models In Power Plants: A numerical-suRfactal Nonlinear Optimization of Modelling

Abstract

Abstract—Simulations and Linear/Nonlinear Optimization
mathematical methods constitute presently the choice of preference in
getting improvements for erosion and corrosion
simulations/determinations in general tribology, biotribology and
tribocorrosion. This criterion is also applicable for engineering-
reliability functional efficacy/efficiency during energy-power plants
lifetime—with important consequences in the probabilities of
operating failure of power-plant. Their running essential parts study-
control is carried out with the necessary tribotests for the definite
validation of the models specifically considered in their mechanical-
electromechanical-systems. In previous contributions, an extent
review of erosion and corrosion models applicable on energy power
plants machinery was presented. In this new contribution a
subsequent research stage towards formal simulation and
optimization of those models is shown. In other words, Inverse
Applied Methods, carried out computationally, are used in modern
mathematical approaches for accurate selection/fitting of the
optimized modeling results, fact that happens in a large number of
science-engineering branches, and also in energy power plants
operation. Stepping forward in this research-line, this article deals
with initial programming simulations series of selected model-
formulations, and mathematical analysis in new graphical simulation-
optimization methods. In doing so, subsequently nonlinear
optimization programming techniques are developed, to conclude
with the presentation of a hardface metal-coatings design for W-Co
composites types. That model overview is related to experimental
abrasive-erosion tribotests performed at laboratory. The deliberation
of the second generation of functional tribology models was detailed
with computational-mathematical scopes. Finally, an objective
discussion of the numerical results and data/graphs series was
presented in summary.
Keywords—power engineering, functional power-plants,
nonlinear optimization, inverse problems theory/applications,
engineering reliability operational probabilities