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Engineering mathematics is a branch of applied mathematics where mathematical methods and techniques are implemented for solving problems related to the engineering and industry. It also represents a multidisciplinary approach where theoretical and practical aspects are deeply merged with the aim at obtaining optimized solutions. In line with that, the present Special Issue, 'Engineering Mathematics in Ship Design', is focused, in particular, with the use of this sort of engineering science in the design of ships and vessels. Articles are welcome when applied science or computation science in ship design represent the core of the discussion.
Lead-Zirconium-Titanium (PZT) --- n/a --- H.O.M.E.R. nozzle --- finite element --- low-speed Diesel engine --- piezoelectric sensor --- AHP method --- environmental management system --- SPH --- state-of-the-art --- marine transport --- single-stepped planing hulls --- optimisation --- finite element method --- computational fluid dynamic --- slamming --- FSI --- roll motion --- harmonic excitation --- external forces --- towing tank tests --- modelling --- roll damping --- ISO 9126 --- selection --- stiffened plate --- numerical model --- damaged sensor --- CFD --- symmetric 2D + T theory --- hydroelasticity --- ISO 14001 --- water entry --- plate --- constitutive model --- turbulence model --- SHIPMOVE --- impact traction --- fixed pitch propeller --- stiffeners --- numerical simulation --- cavitation --- controllable pitch propeller --- ISO 14598 --- MMG Model --- hydrodynamic forces --- balanced scorecard --- finite volume method --- deflection --- constructal design --- fluid-structure interaction --- MCDM method --- marine industry --- ship design --- fracture mechanics --- coanda effect
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Very recently, a great deal of attention has been paid by researchers and technologists to trying to eliminate metal materials in the design of products and processes in favor of plastics and composites. After a few years, it is possible to state that metal materials are even more present in our lives and this is especially thanks to their ability to evolve. This Special Issue is focused on the recent evolution of metals and alloys with the scope of presenting the state of the art of solutions where metallic materials have become established, without a doubt, as a successful design solution thanks to their unique properties.
Technology: general issues --- material properties prediction --- experimental data analysis --- ductile/spheroidal cast iron (SGI) --- compact graphite cast iron (CGI) --- Machine Learning (RF) --- pattern recognition --- Random Forest (RF) --- Artificial Neural Network (NN) --- k-nearest neighbours (kNN) --- tribology --- wear --- slurry erosion --- coating --- cermet --- spheroidal graphite cast iron --- pack aluminizing --- microstructure --- high-temperature oxidation resistance --- hybrid composite --- wear performance --- ZA27 alloy --- deflection --- plates --- stiffeners --- numerical simulation --- Constructal Design --- austenitic stainless steel --- tensile properties --- artificial neural network --- MIV analysis --- pallet rack --- moment-rotation curve --- connection --- experiment --- numerical analysis --- thermomechanical processing --- grain growth --- forging --- retained austenite --- bainitic microstructure --- extended finite element method (xFEM) --- polarization curve --- long-term operated metals --- hybrid materials --- fatigue crack growth --- stress intensity factors (SIF) --- linear regression --- micromagnetic testing --- hardness --- case hardening depth --- phase-field modeling --- modified damage model --- large-strain plasticity --- S355J2+N steel --- ductile fracture --- two-stage yield function --- copper coatings --- pulsating current (PC) --- composite hardness models --- creep resistance --- n/a
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Very recently, a great deal of attention has been paid by researchers and technologists to trying to eliminate metal materials in the design of products and processes in favor of plastics and composites. After a few years, it is possible to state that metal materials are even more present in our lives and this is especially thanks to their ability to evolve. This Special Issue is focused on the recent evolution of metals and alloys with the scope of presenting the state of the art of solutions where metallic materials have become established, without a doubt, as a successful design solution thanks to their unique properties.
material properties prediction --- experimental data analysis --- ductile/spheroidal cast iron (SGI) --- compact graphite cast iron (CGI) --- Machine Learning (RF) --- pattern recognition --- Random Forest (RF) --- Artificial Neural Network (NN) --- k-nearest neighbours (kNN) --- tribology --- wear --- slurry erosion --- coating --- cermet --- spheroidal graphite cast iron --- pack aluminizing --- microstructure --- high-temperature oxidation resistance --- hybrid composite --- wear performance --- ZA27 alloy --- deflection --- plates --- stiffeners --- numerical simulation --- Constructal Design --- austenitic stainless steel --- tensile properties --- artificial neural network --- MIV analysis --- pallet rack --- moment-rotation curve --- connection --- experiment --- numerical analysis --- thermomechanical processing --- grain growth --- forging --- retained austenite --- bainitic microstructure --- extended finite element method (xFEM) --- polarization curve --- long-term operated metals --- hybrid materials --- fatigue crack growth --- stress intensity factors (SIF) --- linear regression --- micromagnetic testing --- hardness --- case hardening depth --- phase-field modeling --- modified damage model --- large-strain plasticity --- S355J2+N steel --- ductile fracture --- two-stage yield function --- copper coatings --- pulsating current (PC) --- composite hardness models --- creep resistance --- n/a
Choose an application
Very recently, a great deal of attention has been paid by researchers and technologists to trying to eliminate metal materials in the design of products and processes in favor of plastics and composites. After a few years, it is possible to state that metal materials are even more present in our lives and this is especially thanks to their ability to evolve. This Special Issue is focused on the recent evolution of metals and alloys with the scope of presenting the state of the art of solutions where metallic materials have become established, without a doubt, as a successful design solution thanks to their unique properties.
Technology: general issues --- material properties prediction --- experimental data analysis --- ductile/spheroidal cast iron (SGI) --- compact graphite cast iron (CGI) --- Machine Learning (RF) --- pattern recognition --- Random Forest (RF) --- Artificial Neural Network (NN) --- k-nearest neighbours (kNN) --- tribology --- wear --- slurry erosion --- coating --- cermet --- spheroidal graphite cast iron --- pack aluminizing --- microstructure --- high-temperature oxidation resistance --- hybrid composite --- wear performance --- ZA27 alloy --- deflection --- plates --- stiffeners --- numerical simulation --- Constructal Design --- austenitic stainless steel --- tensile properties --- artificial neural network --- MIV analysis --- pallet rack --- moment-rotation curve --- connection --- experiment --- numerical analysis --- thermomechanical processing --- grain growth --- forging --- retained austenite --- bainitic microstructure --- extended finite element method (xFEM) --- polarization curve --- long-term operated metals --- hybrid materials --- fatigue crack growth --- stress intensity factors (SIF) --- linear regression --- micromagnetic testing --- hardness --- case hardening depth --- phase-field modeling --- modified damage model --- large-strain plasticity --- S355J2+N steel --- ductile fracture --- two-stage yield function --- copper coatings --- pulsating current (PC) --- composite hardness models --- creep resistance --- material properties prediction --- experimental data analysis --- ductile/spheroidal cast iron (SGI) --- compact graphite cast iron (CGI) --- Machine Learning (RF) --- pattern recognition --- Random Forest (RF) --- Artificial Neural Network (NN) --- k-nearest neighbours (kNN) --- tribology --- wear --- slurry erosion --- coating --- cermet --- spheroidal graphite cast iron --- pack aluminizing --- microstructure --- high-temperature oxidation resistance --- hybrid composite --- wear performance --- ZA27 alloy --- deflection --- plates --- stiffeners --- numerical simulation --- Constructal Design --- austenitic stainless steel --- tensile properties --- artificial neural network --- MIV analysis --- pallet rack --- moment-rotation curve --- connection --- experiment --- numerical analysis --- thermomechanical processing --- grain growth --- forging --- retained austenite --- bainitic microstructure --- extended finite element method (xFEM) --- polarization curve --- long-term operated metals --- hybrid materials --- fatigue crack growth --- stress intensity factors (SIF) --- linear regression --- micromagnetic testing --- hardness --- case hardening depth --- phase-field modeling --- modified damage model --- large-strain plasticity --- S355J2+N steel --- ductile fracture --- two-stage yield function --- copper coatings --- pulsating current (PC) --- composite hardness models --- creep resistance
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