The text explains the fundamental mechanisms and complexities involved in two-phase flow systems. It presents the physical and rheological properties of slurries, solid-liquid interactions, and the flow regimes. The book focuses on sector-specific use cases, including energy, mining, and processing systems. It highlights the use of machine learning models for predicting the rate of erosion based on experimental and material data.
 
This book:
·       Focuses on modelling approaches such as computational fluid dynamics, multiphase flow solvers, and simulation-based predictive tools relevant to both academic and industrial applications.                                                                                      
·       Examines hydraulic issues associated with slurry transportation, such as pressure decline, loss of corrected energy, and the impacts of vortex production.                                                                                              
·       Explains the dynamics of slurry erosion, inspecting the mechanisms under the influence of impact forces and wear processes, as well as the behaviour of materials.                                                                                          
·       Discusses surface modification strategies, including thermal spraying, laser cladding, and surface alloying.                                                                                             
·    Demonstrates machine learning models used for predicting the rate of erosion based on experimental and material data.                                                                             
It is primarily written for senior undergraduates, graduate students, and academic researchers in mechanical engineering, aerospace engineering, fluid dynamics, heat transfer, manufacturing engineering, production engineering, and materials science.