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This book introduces novel results on mathematical modelling, parameter identification, and automatic control for a wide range of applications of mechanical, electric, and mechatronic systems, where undesirable oscillations or vibrations are manifested. The six chapters of the book written by experts from international scientific community cover a wide range of interesting research topics related to: algebraic identification of rotordynamic parameters in rotor-bearing system using finite element models; model predictive control for active automotive suspension systems by means of hydraulic actuators; model-free data-driven-based control for a Voltage Source Converter-based Static Synchronous Compensator to improve the dynamic power grid performance under transient scenarios; an exact elasto-dynamics theory for bending vibrations for a class of flexible structures; motion profile tracking control and vibrating disturbance suppression for quadrotor aerial vehicles using artificial neural networks and particle swarm optimization; and multiple adaptive controllers based on B-Spline artificial neural networks for regulation and attenuation of low frequency oscillations for large-scale power systems. The book is addressed for both academic and industrial researchers and practitioners, as well as for postgraduate and undergraduate engineering students and other experts in a wide variety of disciplines seeking to know more about the advances and trends in mathematical modelling, control and identification of engineering systems in which undesirable oscillations or vibrations could be presented during their operation.

B-spline neural networks --- adaptive power system control --- coordinated multiple controllers --- StatCom --- exact plate theory --- thick plate --- bending vibration --- partial differential operator theory --- gauge condition --- data-driven control --- reactive power compensation --- STATCOM --- voltage control --- voltage source converter --- quadrotor UAV --- artificial neural networks --- robust control --- Taylor series --- B-splines --- particle swarm optimization --- active suspension --- model predictive control --- linear parameter varying --- ellipsoidal set --- attraction sets --- quadratic stability --- algebraic identification --- rotor-bearing system --- finite element model --- rotordynamic coefficients

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The use of lightweight structures across several industries has become inevitable in today’s world given the ever-rising demand for improved fuel economy and resource efficiency. In the automotive industry, composites, reinforced plastics, and lightweight materials, such as aluminum and magnesium are being adopted by many OEMs at increasing rates to reduce vehicle mass and develop efficient new lightweight designs. Automotive weight reduction with high-strength steel is also witnessing major ongoing efforts to design novel damage-controlled forming processes for a new generation of efficient, lightweight steel components. Although great progress has been made over the past decades in understanding the thermomechanical behavior of these materials, their extensive use as lightweight solutions is still limited due to numerous challenges that play a key role in cost competitiveness. Hence, significant research efforts are still required to fully understand the anisotropic material behavior, failure mechanisms, and, most importantly, the interplay between industrial processing, microstructure development, and the resulting properties. This Special Issue reprint book features concise reports on the current status in the field. The topics discussed herein include areas of manufacturing and processing technologies of materials for lightweight applications, innovative microstructure and process design concepts, and advanced characterization techniques combined with modeling of material’s behavior.

n/a --- microstructure --- Mg-Al-Ba-Ca alloy --- strength --- severe plastic deformation --- hot working --- surface roughness --- high pressure torsion extrusion --- optimization --- fatigue fracture behavior --- magnesium alloys --- de-coring --- formability --- multilayered sheets --- HPDC --- spring-back --- contact heat transfer --- mechanical properties --- bending --- in-die quenching --- equivalent strain --- light metals --- processing --- heat transfer --- damage --- creep aging --- thin-walled profile --- rolling --- aluminum alloy --- transmission line fittings --- ceramic core --- processing map --- automated void recognition --- FEA --- multi-output porthole extrusion --- density --- kinetic analysis --- texture --- non-ferrous alloys --- material characterization --- stress superposition --- hot stamping --- metal flow --- hybrid composite material --- V-bending test --- finite element model --- aluminium alloy --- shear lap test --- Al-Cu-Mg alloy --- characterization

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The development of modern numerical methods has led to significant advances in the field of fatigue and fracture, which are pivotal issues in structural integrity. Because of the permanent tendency to shorten time-to-market periods and the development cost, the use of the finite element method, extended finite element method, peridynamics, or meshless methods, among others, has represented a viable alternative to experimental methods. This Special Issue aims to focus on the new trends in computational methods to address fatigue and fracture problems. Research on innovative and successful industrial applications as well as on nonconventional numerical approaches is also addressed.

Technology: general issues --- History of engineering & technology --- finite element method --- Taguchi method --- tooth surface contact stress --- tooth profile deviations --- meshing errors --- lead crowning modifications --- critical load --- fracture --- tubular cantilever beam --- U-notch --- theory of critical distances --- LEFM --- mesh density --- mixed mode stress intensity factors --- fatigue crack growth --- FEM --- fatigue failure --- design flaws --- mechanical system --- parametric ALT --- hinge kit system --- XFEM --- ANSYS mechanical --- smart crack growth --- stress intensity factors --- fatigue life prediction --- gears --- Single Tooth Bending Fatigue --- STBF --- Finite Element Model --- material characterization --- multiaxial fatigue --- critical plane --- metal casting --- mold design --- simulation --- optimization --- fatigue life --- reliability --- n/a

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Third millennium engineering address new challenges in materials sciences and engineering. In particular, the advances in materials engineering combined with the advances in data acquisition, processing and mining as well as artificial intelligence allow for new ways of thinking in designing new materials and products. Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm.

plasticity --- machine learning --- constitutive modeling --- manifold learning --- topological data analysis --- GENERIC --- soft living tissues --- hyperelasticity --- computational modeling --- data-driven mechanics --- TDA --- Code2Vect --- nonlinear regression --- effective properties --- microstructures --- model calibration --- sensitivity analysis --- elasto-visco-plasticity --- Gaussian process --- high-throughput experimentation --- additive manufacturing --- Ti–Mn alloys --- spherical indentation --- statistical analysis --- Gaussian process regression --- nanoporous metals --- open-pore foams --- FE-beam model --- data mining --- mechanical properties --- hardness --- principal component analysis --- structure–property relationship --- microcompression --- nanoindentation --- analytical model --- finite element model --- artificial neural networks --- model correction --- feature engineering --- physics based --- data driven --- laser shock peening --- residual stresses --- data-driven --- multiscale --- nonlinear --- stochastics --- neural networks --- n/a --- Ti-Mn alloys --- structure-property relationship

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Welding remains one of the most studied manufacturing processes worldwide. It has always assumed a vital importance in terms of research, and the market demand for increasingly complex solutions has kept the search for new solutions around welding more and more alive. This book describes, in 14 chapters, recent investigations around various welding processes, showing new developments in important areas, such as biomedicine or the automotive industry. Following the current trend, several developments around the friction stir welding process are also described. However, other processes are also studied, and new interesting developments are presented. Problems normally felt in welding, such as the installation of internal stresses or the generation of defects are also studied, and very interesting solutions are provided. Thus, this book is of particular importance for a very wide audience, ranging from the technician who is curious to want to know more and more, to the professor who seeks the latest developments in the matter to prepare his classes.

History of engineering & technology --- spot welding --- hot-stamped hardened steel --- microstructure --- martensite --- bainite --- friction stir welding --- aluminium alloys --- forced air cooling --- microstructures --- tensile strength --- hardness distribution --- ferritic stainless steel --- cerium --- solidification crack --- Trans-varestraint test --- beryllium-copper alloy --- mechanical properties --- post-weld heat treatment --- high-power ultrasonic welding --- interface --- magnesium --- cu interlayer --- intermetallic compound --- material flow --- finite element model --- temperature field --- welding defects --- brazing --- titanium --- alumina --- interfacial microstructure --- FSSW --- dissimilar metals --- interface behavior --- impact properties --- residual stresses --- neutron diffraction --- hardness --- precipitation --- wear-resistant martensitic steel --- submerged arc welding (SAW) --- heat treatment --- structures --- hardness changes --- Hardox Extreme steel --- bobbin friction stir welding --- materials flow --- metallography --- AA6082-T6 --- weld defect --- aluminum alloy --- heterogeneity --- mechanical --- P91 steel --- heat-resistant steels --- welding --- PWHT --- welds characterization --- heat-treatment processing time --- sustainability --- ultrasonic vibration --- dissimilar metal --- semi-solid status --- microstructure evolution