Overview

Today, modeling and simulation are widely applied in electrical and mechanical engineering, automotive industry, aeronautics and aerospace, ship building and oceanography, bioscience, nuclear science, medicine, finances/ stock markets etc. There are two most important aspects of the simulation models: user’s (operator) training, and investigation of the current and future dynamic systems. Users training is very important, (e.g. flight simulator) because it is cheaper and safer than handling of a real system (aka aircraft). By proper training - the users will gain knowledge and skills to be able to work with real complex systems. The simulation process investigates the system features and proposes ways to improve the system’s performances. All simulation experiments are free of risk that the system will be damaged or destroyed. By simulation - the analytical results can be confirmed, and the impact of the environment can be model in unobtrusive way (with variables). This edition covers different topics from system modeling and simulation, and application of modeling and simulation in different industries (engineering fields). Section 1 focuses on modeling and simulation in mechanical engineering, describing modeling and simulation of hydraulic hammer for sleeve valve, modeling and simulation of high performance electrical vehicle powertrains in VHDL-AMS, analysis, modeling and simulation of a poly-bag manufacturing system, two-phase flow at a chute aerator with experiments and CFD modelling, and virtual prototype modeling and simulation of pipe wagon articulating system. Section 2 focuses on modeling and simulation in electrical engineering, describing fault diagnosis and detection in industrial motor network environment, electrical vehicle design and modeling, electromagnetic flow metering, analysis and applications of the measurement uncertainty in electrical testing, and electrical parameters modeling and experimentation of copper vapor laser. Section 3 focuses on modeling and simulation in chemical (process) engineering, describing modeling and simulation of laser assisted turning of hard steels, pore scale simulation of colloid deposition, constitutive modelling of elastomeric seal material under compressive loading, and new methods to model and simulate air exchange and particle contamination of portable devices. Section 4 focuses on modeling and simulation of social and economic systems, describing a guide to population modelling for simulation, game model for supply chain finance credit risk based on multi-agent, the effect of social network structure on workflow efficiency performance, and scenario based municipal wastewater estimation.

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9781773610764

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Dr Zoran Gacovski has earned his PhD degree at Faculty of Electrical engineering, Skopje. His research interests include Intelligent systems and Software engineering, fuzzy systems, graphical models (Petri, Neural and Bayesian networks), and IT security. He has published over 50 journal and conference papers, and he has been reviewer of renowned Journals.

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