Modeling and Simulation in Engineering

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: abstraction; accelerated algorithm; adjoint; analog circuits; anomalous diffusion; anomalous diffusion equation; biodiesel; calcium leaching; CAM; carbon nanotubes; category theory; change of frequency; Chinese A-share market; combustion process; continuous time random walk; diesel engine performance; fault diagnosis; ferrofluidslip effect; formal approaches; fractal dimension; fractional material derivative; functors; fuzzy model; gradient-descent; grout curtain; heat transfer; high-dimensional problems; hurst exponent; hybrid nanofluid; hydraulic conductivity; inverse modeling; junctions; Kriging; Levy walks; local estimate; mathematical modelling; Mathematics and Science; milling vibration signal; modeling; Monte Carlo method; n/a; nanofluid; neural networks; optimization; principal component dimension reduction; radiation; Reference, Information and Interdisciplinary subjects; Research and information: general; response surface methodology; rotating; rotation; roughness of volatility; roughness scaling extraction; spiral groove; spot volatility; Stefan blowing; stretching sheet; stretching/shrinking; surrogate model; thermodiffusion; transport equation; trochoidal milling; unsteady flow; variable feed; Weierstrass–Mandelbrot function
• DOI: 10.3390/books978-3-0365-5940-7
• ISBN: 303655940X; 9783036559391; 9783036559407; 3036559396

The Special Issue Modeling and Simulation in Engineering, belonging to the section Engineering Mathematics of the Journal Mathematics, publishes original research papers dealing with advanced simulation and modeling techniques. The present book, “Modeling and Simulation in Engineering I, 2022”, contains 14 papers accepted after peer review by recognized specialists in the field. The papers address different topics occurring in engineering, such as ferrofluid transport in magnetic fields, non-fractal signal analysis, fractional derivatives, applications of swarm algorithms and evolutionary algorithms (genetic algorithms), inverse methods for inverse problems, numerical analysis of heat and mass transfer, numerical solutions for fractional differential equations, Kriging modelling, theory of the modelling methodology, and artificial neural networks for fault diagnosis in electric circuits. It is hoped that the papers selected for this issue will attract a significant audience in the scientific community and will further stimulate research involving modelling and simulation in mathematical physics and in engineering.