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The aim of this book was to collect the most recent methods developed for NSO and its practical applications. The book contains seven papers: The first is the foreword by the Guest Editors giving a brief review of NSO and its real-life applications and acknowledging the outstanding contributions of Professor Adil Bagirov to both the theoretical and practical aspects of NSO. The second paper introduces a new and very efficient algorithm for solving uncertain unit-commitment (UC) problems. The third paper proposes a new nonsmooth version of the generalized damped Gauss–Newton method for solving nonlinear complementarity problems. In the fourth paper, the abs-linear representation of piecewise linear functions is extended to yield simultaneously their DC decomposition as well as the pair of generalized gradients. The fifth paper presents the use of biased-randomized algorithms as an effective methodology to cope with NP-hard and nonsmooth optimization problems in many practical applications. In the sixth paper, a problem concerning the scheduling of nuclear waste disposal is modeled as a nonsmooth multiobjective mixed-integer nonlinear optimization problem, and a novel method using the two-slope parameterized achievement scalarizing functions is introduced. Finally, the last paper considers binary classification of a multiple instance learning problem and formulates the learning problem as a nonconvex nonsmooth unconstrained optimization problem with a DC objective function.
Information technology industries --- multiple instance learning --- support vector machine --- DC optimization --- nonsmooth optimization --- achievement scalarizing functions --- interactive method --- multiobjective optimization --- spent nuclear fuel disposal --- non-smooth optimization --- biased-randomized algorithms --- heuristics --- soft constraints --- DC function --- abs-linearization --- DCA --- Gauss–Newton method --- nonsmooth equations --- nonlinear complementarity problem --- B-differential --- superlinear convergence --- global convergence --- stochastic programming --- stochastic hydrothermal UC problem --- parallel computing --- asynchronous computing --- level decomposition --- n/a --- Gauss-Newton method
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This book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.
model predictive control --- bulbous bow --- improvement differential evolution algorithm --- evolutionary multi-objective optimization --- location routing problem --- flexible job shop scheduling problem --- basic differential evolution algorithm --- metric measure spaces --- NEAT --- genetic algorithm --- multiobjective optimization --- improved differential evolution algorithm --- performance indicator --- rubber --- averaged Hausdorff distance --- mixture experiments --- U-shaped assembly line balancing --- Genetic Programming --- Local Search --- driving events --- surrogate-based optimization --- single component constraints --- crop planning --- Pareto front --- numerical simulations --- shape morphing --- genetic programming --- economic crops --- local search and jump search --- model order reduction --- optimal solutions --- EvoSpace --- risky driving --- intelligent transportation systems --- optimal control --- IV-optimality criterion --- Bloat --- decision space diversity --- modify differential evolution algorithm --- power means --- driving scoring functions --- open-source framework --- evolutionary computation --- differential evolution algorithm --- vehicle routing problem --- multi-objective optimization
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Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several demand aggregation levels. The first challenge is the improvement of STLF models and their performance at new aggregation levels. Moreover, the mix of renewables in the power system, and the necessity to include more flexibility through demand response initiatives have introduced greater uncertainties, which means new challenges for STLF in a more dynamic power system in the 2030–50 horizon. Many techniques have been proposed and applied for STLF, including traditional statistical models and AI techniques. Besides, distribution planning needs, as well as grid modernization, have initiated the development of hierarchical load forecasting. Analogously, the need to face new sources of uncertainty in the power system is giving more importance to probabilistic load forecasting. This Special Issue deals with both fundamental research and practical application research on STLF methodologies to face the challenges of a more distributed and customer-centered power system.
History of engineering & technology --- short-term load forecasting --- demand-side management --- pattern similarity --- hierarchical short-term load forecasting --- feature selection --- weather station selection --- load forecasting --- special days --- regressive models --- electric load forecasting --- data preprocessing technique --- multiobjective optimization algorithm --- combined model --- Nordic electricity market --- electricity demand --- component estimation method --- univariate and multivariate time series analysis --- modeling and forecasting --- deep learning --- wavenet --- long short-term memory --- demand response --- hybrid energy system --- data augmentation --- convolution neural network --- residential load forecasting --- forecasting --- time series --- cubic splines --- real-time electricity load --- seasonal patterns --- Load forecasting --- VSTLF --- bus load forecasting --- DBN --- PSR --- distributed energy resources --- prosumers --- building electric energy consumption forecasting --- cold-start problem --- transfer learning --- multivariate random forests --- random forest --- electricity consumption --- lasso --- Tikhonov regularization --- load metering --- preliminary load --- short term load forecasting --- performance criteria --- power systems --- cost analysis --- day ahead --- feature extraction --- deep residual neural network --- multiple sources --- electricity
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This book brings together all 16 articles published in the Special Issue "Applied Mathematics to Mechanisms and Machines" of the MDPI Mathematics journal, in the section “Engineering Mathematics”. The subject matter covered by these works is varied, but they all have mechanisms as the object of study and mathematics as the basis of the methodology used. In fact, the synthesis, design and optimization of mechanisms, robotics, automotives, maintenance 4.0, machine vibrations, control, biomechanics and medical devices are among the topics covered in this book. This volume may be of interest to all who work in the field of mechanism and machine science and we hope that it will contribute to the development of both mechanical engineering and applied mathematics.
Technology: general issues --- History of engineering & technology --- path generation --- dimensional synthesis --- hybrid optimization --- slider-crank mechanism --- hybrid compliant mechanisms --- path analysis --- numerical methods --- elliptic integrals --- kinematics --- Levenberg–Marquardt algorithm --- convergence --- neural networks --- local minima --- optimization --- three-legged parallel mechanism --- compliant mechanism --- flexure-based mechanism --- flexure --- compliant joint --- decoupled motion --- coupled motion --- stiffness --- compliance --- suspension algorithm --- predictive suspension --- land vehicle --- sprung mass --- autoencoder --- aeroengine --- denoising --- GRU --- rotordynamic --- adaptive rejection control --- sinusoidal disturbance --- flexible rotor --- hydrodynamic journal bearing --- six-bar mechanism --- dynamic balancing --- fully Cartesian coordinates --- multiobjective optimization --- differential evolution --- Pareto front --- serial robotic manipulators --- singularity identification --- geometric algebra --- rotor group --- distance to a singularity --- air flow medical sensor --- emergency air flow sensor --- low-cost air flow sensor --- nanostructures --- COVID-19 --- FEM analysis --- biomechanics --- effort mathematical models --- NMR reconstruction --- reverse engineering --- elbow joint --- zipper-coupled tubes --- Miura-ori pattern --- deployable mechanism --- origami inspired design --- smooth sheet attachment --- relative rotation --- jump --- safe basin --- fractal --- heteroclinic bifurcation --- delayed feedback --- helical spring --- vibration --- Frenet trihedral --- dispersion relation --- natural frequency --- approximate entropy --- non-linear systems --- phase space reconstruction --- fault classification --- random forest --- support vector machines --- lateral dynamics --- track parameters --- vehicle mathematical modeling --- safety vehicle index
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Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business and engineering processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches, in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. Particular attention is devoted to information aggregation operators; 65% of papers dealt with this item. The topics of this Special Issue gained attention in Europe and Asia. A total of 48 authors from seven countries contributed to this Issue. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.
multiple attribute decision making --- maximizing deviation model --- interval multiplicative preference relations --- rough sets --- queuing systems --- fuzzy EDAS --- nonnegative normal neutrosophic number --- single-valued linguistic neutrosophic interval linguistic number --- order allocation --- multi-attribute decision-making (MADM) --- multi-criteria decision-making --- Pythagorean uncertain linguistic variable --- neutrosophic sets --- supplier --- green supplier --- trust interval --- ANFIS --- reliable group decision-making --- multiple criteria decision-making --- adaptive neuro-fuzzy inference system (ANFIS) --- multi-attribute group decision-making --- Pythagorean fuzzy set --- Muirhead mean --- subcontractor evaluation --- fuzzy sets --- group decision-making --- score function --- supplier selection --- unbalanced linguistic set --- projection model --- multiple criteria group decision-making --- warehouse --- multi-hesitant fuzzy sets --- Dombi operations --- interaction operational laws --- decision making --- MCDM --- multiple criteria decision making (MCDM) --- rough ANP --- MADM --- multiple attributes decision-making --- interactive approach --- weighted aggregation operator --- logistics --- rough analytical hierarchical process (AHP) --- linguistic cubic variable --- multiobjective optimization --- aggregation operators --- bi-directional projection model --- rough boundary interval --- prioritized average operator --- binary discernibility matrices --- Einstein operations --- hesitant probabilistic fuzzy Einstein aggregation operators --- multiple-criteria decision-making (MCDM) --- aggregation operator --- linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator --- linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator --- multi-attribute decision making --- trapezoidal fuzzy number --- rough number --- evidence theory --- uncertain group decision-making support systems --- desirability function --- deterministic finite automata --- rough weighted aggregated sum product assessment (WASPAS) --- hesitant probabilistic fuzzy element (HPFE) --- multiple attribute decision making (MADM).
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The most influential research topic in the twenty-first century seems to be mathematics, as it generates innovation in a wide range of research fields. It supports all engineering fields, but also areas such as medicine, healthcare, business, etc. Therefore, the intention of this Special Issue is to deal with mathematical works related to engineering and multidisciplinary problems. Modern developments in theoretical and applied science have widely depended our knowledge of the derivatives and integrals of the fractional order appearing in engineering practices. Therefore, one goal of this Special Issue is to focus on recent achievements and future challenges in the theory and applications of fractional calculus in engineering sciences. The special issue included some original research articles that address significant issues and contribute towards the development of new concepts, methodologies, applications, trends and knowledge in mathematics. Potential topics include, but are not limited to, the following: Fractional mathematical models; Computational methods for the fractional PDEs in engineering; New mathematical approaches, innovations and challenges in biotechnologies and biomedicine; Applied mathematics; Engineering research based on advanced mathematical tools.
Technology: general issues --- History of engineering & technology --- fractional order IMC --- first order plus dead-time processes --- event-based implementation --- numerical simulations --- comparative closed loop results --- nonlinear wave phenomen --- RBF --- local RBF-FD --- stability --- unmanned aerial vehicle (UAV) --- quaternion-based estimator --- low-cost design --- automatic optical inspection --- kinetic theory --- parallel robots --- robust control --- sliding mode control --- basinI --- basinII --- mean pressure head --- pressure head with different probabilities of occurrence --- standard deviation of the pressure fluctuations --- statistical modeling --- USBR --- desalination --- humidification-dehumidification --- waste heat recovery --- mathematical model --- yearly analysis --- thermo-economics --- multi-objective optimization --- cruise altitude --- fuel consumption --- time to climb --- Hermite-Simpson method --- trajectory optimization --- terminal residual analysis (TRA) --- m-σ terminal residual analysis (m-σ TRA) --- power transformer --- stray losses --- analytical methods --- finite element method --- gridshell structures --- shape ratio --- length ratio --- regularity --- particle swarm optimization --- genetic algorithm --- hybrid nanofluid --- dual solutions --- mixed convection --- stagnation point --- radiation --- stability analysis --- machine learning --- eXterme Gradient Boosting --- Computation Fluid Dynamics --- blade vibration --- unsteady aerodynamic model --- active disturbance rejection control (ADRC) --- multiobjective optimization --- time delay systems --- tuning rules --- soft robotics --- fractional calculus --- CACSD toolbox --- operating point linearization --- automatic uncertainty bound computation --- Model-in-the-Loop simulation --- hybrid simulation --- ℋ∞ control --- μ synthesis --- DC-to-DC power converters --- buck --- boost --- SEPIC --- rainfall-runoff model --- curve number --- inferential statistics --- 3D runoff difference model --- model calibration --- PAT model --- modified affinity laws --- hydraulic simulation tool --- μ-synthesis --- fractional-order control --- swarm optimization --- artificial bee colony optimization --- CNC machine --- mixed sensitivity --- D–K iteration --- Linear Matrix Inequality --- biotechnology --- fermentation process --- batch bioreactors --- modeling --- control system design and synthesis --- linear control --- adaptive control --- model reference adaptive control --- control system realization --- mixed-sensitivity --- FO-PID --- twin rotor aerodynamic system
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This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.
n/a --- Stackelberg game --- MILP --- optimal congestion threshold --- magnetic field mitigation --- simulation --- multi-objective particle swarm optimization --- virtual power plant --- internal defect --- day-ahead load forecasting --- neural network --- modular predictor --- multi-objective particle swarm optimization algorithm --- stochastic optimization --- dragonfly algorithm --- unit commitment --- metaheuristic --- multi-population method (MP) --- optimization --- tabu search --- considerable decomposition --- loss minimization --- active distribution system --- islanded microgrid --- dynamic solving framework --- feature selection --- electric energy costs --- power factor compensation --- dependability --- interactive load --- overhead --- energy internet --- evolutionary computation --- wind power --- developed grew wolf optimizer --- underground --- ETAP --- fuzzy algorithm --- electric vehicles --- Schwarz’s equation --- evolutionary algorithms --- electric power contracts --- congestion management --- optimizing-scenarios method --- building energy management system --- particle encoding method --- ringdown detection --- HOMER software --- DC optimal power flow --- prosumer --- constrained parameter estimation --- distributed generations (DGs) --- strong track filter (STF) --- transient stability --- calibration --- cost minimization --- radiance --- decentralized and collaborative optimization --- hybrid renewable energy system --- renewable energy sources --- rural electrification --- distribution network reconfiguration --- interval variables --- optimization methods --- particle swarm optimization --- hierarchical scheduling --- micro grid --- AC/DC hybrid active distribution --- consensus --- artificial bee colony --- CCHP system --- data center --- support vector machine --- affinity propagation clustering --- extended Kalman filter --- affine arithmetic --- linear discriminant analysis (LDA) --- current margins --- heterogeneous networks --- Cameroon --- hybrid method --- distributed heat-electricity energy management --- discrete wind driven optimization --- fitness function --- cross-entropy --- GenOpt --- wind energy --- demand uncertainty --- UC --- off-design performance --- genetic algorithm --- energy storage --- the biomimetic membrane computing --- power system optimization --- electric vehicle --- power architectures --- economic load dispatch problem (ELD) --- runner-root algorithm (RRA) --- Cable joint --- battery energy storage system --- load curtailment --- integration assessment --- power system unit commitment --- artificial lighting --- power flow --- hybrid membrane computing --- two-point estimation method --- low-voltage networks --- demand bidding --- non-sinusoidal circuits --- energy flow model --- power transfer distribution factors --- sustainability --- HVAC system --- voltage deviation --- street light points --- radial basis function --- energy storage system --- charging/discharging --- power systems --- intelligent scatter search --- MV/LV substation --- optimal power flow --- stochastic state estimation --- eight searching sub-regions --- chaos optimization algorithm (COA) --- mutual information theory --- inter-turn shorted-circuit fault (ISCF) --- C&I particle swarm optimization --- multiobjective optimization --- passive shielding --- sub-Saharan Africa --- micro-phasor measurement unit --- geometric algebra --- bio-inspired algorithms --- adaptive consensus algorithm --- energy management --- PCS efficiency --- multi-stakeholders --- generalized generation distribution factors --- the genetic algorithm based P system --- JAYA algorithm --- thermal probability density --- power optimization --- pumped-hydro energy storage --- smart grid --- two-stage feature selection --- piecewise linear techniques --- photovoltaic --- SOCP relaxations --- switched reluctance machine (SRM) --- optimal reactive power dispatch --- optimal operation --- controllable response --- off-grid --- active shielding --- transformer-fault diagnosis --- IEEE Std. 80-2000 --- principal component analysis --- demand response --- Schwarz's equation
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This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.
n/a --- Stackelberg game --- MILP --- optimal congestion threshold --- magnetic field mitigation --- simulation --- multi-objective particle swarm optimization --- virtual power plant --- internal defect --- day-ahead load forecasting --- neural network --- modular predictor --- multi-objective particle swarm optimization algorithm --- stochastic optimization --- dragonfly algorithm --- unit commitment --- metaheuristic --- multi-population method (MP) --- optimization --- tabu search --- considerable decomposition --- loss minimization --- active distribution system --- islanded microgrid --- dynamic solving framework --- feature selection --- electric energy costs --- power factor compensation --- dependability --- interactive load --- overhead --- energy internet --- evolutionary computation --- wind power --- developed grew wolf optimizer --- underground --- ETAP --- fuzzy algorithm --- electric vehicles --- Schwarz’s equation --- evolutionary algorithms --- electric power contracts --- congestion management --- optimizing-scenarios method --- building energy management system --- particle encoding method --- ringdown detection --- HOMER software --- DC optimal power flow --- prosumer --- constrained parameter estimation --- distributed generations (DGs) --- strong track filter (STF) --- transient stability --- calibration --- cost minimization --- radiance --- decentralized and collaborative optimization --- hybrid renewable energy system --- renewable energy sources --- rural electrification --- distribution network reconfiguration --- interval variables --- optimization methods --- particle swarm optimization --- hierarchical scheduling --- micro grid --- AC/DC hybrid active distribution --- consensus --- artificial bee colony --- CCHP system --- data center --- support vector machine --- affinity propagation clustering --- extended Kalman filter --- affine arithmetic --- linear discriminant analysis (LDA) --- current margins --- heterogeneous networks --- Cameroon --- hybrid method --- distributed heat-electricity energy management --- discrete wind driven optimization --- fitness function --- cross-entropy --- GenOpt --- wind energy --- demand uncertainty --- UC --- off-design performance --- genetic algorithm --- energy storage --- the biomimetic membrane computing --- power system optimization --- electric vehicle --- power architectures --- economic load dispatch problem (ELD) --- runner-root algorithm (RRA) --- Cable joint --- battery energy storage system --- load curtailment --- integration assessment --- power system unit commitment --- artificial lighting --- power flow --- hybrid membrane computing --- two-point estimation method --- low-voltage networks --- demand bidding --- non-sinusoidal circuits --- energy flow model --- power transfer distribution factors --- sustainability --- HVAC system --- voltage deviation --- street light points --- radial basis function --- energy storage system --- charging/discharging --- power systems --- intelligent scatter search --- MV/LV substation --- optimal power flow --- stochastic state estimation --- eight searching sub-regions --- chaos optimization algorithm (COA) --- mutual information theory --- inter-turn shorted-circuit fault (ISCF) --- C&I particle swarm optimization --- multiobjective optimization --- passive shielding --- sub-Saharan Africa --- micro-phasor measurement unit --- geometric algebra --- bio-inspired algorithms --- adaptive consensus algorithm --- energy management --- PCS efficiency --- multi-stakeholders --- generalized generation distribution factors --- the genetic algorithm based P system --- JAYA algorithm --- thermal probability density --- power optimization --- pumped-hydro energy storage --- smart grid --- two-stage feature selection --- piecewise linear techniques --- photovoltaic --- SOCP relaxations --- switched reluctance machine (SRM) --- optimal reactive power dispatch --- optimal operation --- controllable response --- off-grid --- active shielding --- transformer-fault diagnosis --- IEEE Std. 80-2000 --- principal component analysis --- demand response --- Schwarz's equation
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This book derives from the Special Issue of the Manufacturing Engineering Society (MES) that was launched as a Special Issue of the journal Materials. The 48 contributions, published in this book, explore the evolution of traditional manufacturing models toward the new requirements of the Manufacturing Industry 4.0 and present cutting-edge advances in the field of Manufacturing Engineering focusing on additive manufacturing and 3D printing, advances and innovations in manufacturing processes, sustainable and green manufacturing, manufacturing systems (machines, equipment and tooling), metrology and quality in manufacturing, Industry 4.0, product lifecycle management (PLM) technologies, and production planning and risks.
History of engineering & technology --- ultrasonic metal welding --- finite element analysis --- temperature distribution --- strength of the joint in tension --- heat flux --- friction --- plastic deformation --- thermocouple --- WEDM --- deep learning --- deep neural networks --- Industry 4.0 --- crash boxes --- joining by forming --- resistance spot-welding --- crashworthiness --- UNS A92024 --- WC–Co --- wear mechanism --- tribology --- adhesion --- laser --- additive manufacturing --- laser beam machining --- laser polishing --- waviness --- roughness --- Inconel 718 --- Ti6Al4V alloy --- chip geometry --- dry machining --- parametric models --- turning --- UNS A92024-T3 --- corrosion --- surface integrity --- Ra --- residual stress --- functional performance --- ultimate tensile strength --- wear --- drilling --- machining --- dry drilling --- stack --- FML --- CFRP --- UNS A97075 --- stepped shaft --- cross wedge rolling --- plastic flow kinetic theories --- variable cone angle billets --- near-net forming --- gear manufacturing --- roughness model --- multitasking machines/multiprocess machines --- NEXAFS --- soft X-rays SXR --- SXR absorption spectroscopy --- respiratory movement --- lung tumor --- radiotherapy --- arduino --- cancer treatment --- linear accelerator --- ultrasonic molding --- microchannel --- thin-wall plate --- replicability --- polystyrene --- medical devices --- FDM --- PLA --- material color --- pigmentation --- extrusion temperature --- humidity --- micro-manufacturing --- manufacturing systems --- production planning --- polylactide (PLA) --- acrylonitrile butadiene styrene (ABS) --- tensile behaviour --- layer height --- infill density --- layer orientation --- cybernetics --- system dynamics --- production management --- maintenance management --- Viable System Model --- automotive industry --- hybrid components stack --- titanium --- magnesium --- repair and maintenance operations --- roughness average (Ra) --- ANOVA --- in-process measurement --- geometric accuracy --- grinding process --- tapered roller bearings --- single --- point --- incremental --- forming --- thermoplastics --- biocompatible --- temperature --- process --- parameters --- 3D printing --- correlation coefficients --- fused deposition modeling --- non-parametric tests --- surface roughness --- LMD --- laser metal deposition --- shielding gas --- argon --- helium --- melt pool temperature --- synthetic polymer --- bioprinting --- multi-material microextrusion --- bioink --- Selective Laser Melting --- thermo fluidic --- phase change --- consolidation --- Arbitrary Lagrangean–Eulerian Method --- metallic powder --- basalt fiber reinforced plastic (BFRP) --- delamination --- edge trimming --- tool wear --- scaffold --- PCL --- RepRap --- fused filament fabrication --- three-dimensional --- cell culture --- design --- topological optimization --- cost --- stock --- spare parts --- free-form filament fabrication (FFF) --- robot-assisted polishing --- force signal --- end point detection --- WAAM --- GMAW --- cold metal transfer --- hardness --- mechanical properties --- thermal input --- microstructure --- Synchrotron X-rays --- lithography --- curved substrate --- microstructures --- computed tomography --- surface extraction --- Canny algorithm --- Deriche algorithm --- carbon fiber reinforced polymer --- hole quality characteristics --- geometrical parameters --- roughness parameters --- taper --- heat affected zone --- product lifecycle management (PLM) --- manufacturing problem solving (MPS) --- fault diagnosis --- smart factory --- process failure mode and effect analysis (PFMEA) --- case-based reasoning (CBR) --- hole making --- surface texture --- contact measurement --- optical measurement --- delphi prospection --- education --- employment --- feature-based modeling --- inspection planning --- dimensional and geometrical specification --- process specification --- collaborative and integrated product-process development --- modeling --- laser processing --- simulation --- pyrometer --- aluminum --- brain --- rapid prototyping --- atlas --- rat --- magnetic resonance imaging --- educative model --- scaffolds --- porosity --- pore size --- multiobjective optimization --- priority dispatching rules --- simulation optimization --- job shop scheduling --- flexible manufacturing systems --- service-oriented manufacturing systems --- maintenance --- aircrat engine repair and overhaul (MRO) --- incremental forming --- FEM --- force prediction --- numerical model --- semi-analytical model --- specific energy --- welding distortion --- LSND (low stress no distortion) --- htTTT --- model validation --- Compression-After-Impact testing --- Compression-After-Impact strength --- carbon fiber reinforced plastics --- flat specimen --- AA7075 --- risk assessment --- dangerous substance --- Directive 89/391/EEC --- Directive 2012/18/EU --- ISO 45001:2018 standard --- emerging risk --- major accident --- manufacturing --- occupational accident --- risk management --- manufacturing industry --- bow-tie analysis --- pallet mover accidents --- accident analysis --- safety barriers --- sheet metal forming --- flanging --- hole-flanging --- incremental sheet forming --- Single Point Incremental Forming (SPIF) --- thickness distribution --- additive manufacturing and 3D printing --- advances and innovations in manufacturing processes --- sustainable and green manufacturing --- manufacturing systems: machines --- equipment and tooling --- metrology and quality in manufacturing --- product lifecycle management (PLM) technologies --- risks
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This book derives from the Special Issue of the Manufacturing Engineering Society (MES) that was launched as a Special Issue of the journal Materials. The 48 contributions, published in this book, explore the evolution of traditional manufacturing models toward the new requirements of the Manufacturing Industry 4.0 and present cutting-edge advances in the field of Manufacturing Engineering focusing on additive manufacturing and 3D printing, advances and innovations in manufacturing processes, sustainable and green manufacturing, manufacturing systems (machines, equipment and tooling), metrology and quality in manufacturing, Industry 4.0, product lifecycle management (PLM) technologies, and production planning and risks.
History of engineering & technology --- ultrasonic metal welding --- finite element analysis --- temperature distribution --- strength of the joint in tension --- heat flux --- friction --- plastic deformation --- thermocouple --- WEDM --- deep learning --- deep neural networks --- Industry 4.0 --- crash boxes --- joining by forming --- resistance spot-welding --- crashworthiness --- UNS A92024 --- WC–Co --- wear mechanism --- tribology --- adhesion --- laser --- additive manufacturing --- laser beam machining --- laser polishing --- waviness --- roughness --- Inconel 718 --- Ti6Al4V alloy --- chip geometry --- dry machining --- parametric models --- turning --- UNS A92024-T3 --- corrosion --- surface integrity --- Ra --- residual stress --- functional performance --- ultimate tensile strength --- wear --- drilling --- machining --- dry drilling --- stack --- FML --- CFRP --- UNS A97075 --- stepped shaft --- cross wedge rolling --- plastic flow kinetic theories --- variable cone angle billets --- near-net forming --- gear manufacturing --- roughness model --- multitasking machines/multiprocess machines --- NEXAFS --- soft X-rays SXR --- SXR absorption spectroscopy --- respiratory movement --- lung tumor --- radiotherapy --- arduino --- cancer treatment --- linear accelerator --- ultrasonic molding --- microchannel --- thin-wall plate --- replicability --- polystyrene --- medical devices --- FDM --- PLA --- material color --- pigmentation --- extrusion temperature --- humidity --- micro-manufacturing --- manufacturing systems --- production planning --- polylactide (PLA) --- acrylonitrile butadiene styrene (ABS) --- tensile behaviour --- layer height --- infill density --- layer orientation --- cybernetics --- system dynamics --- production management --- maintenance management --- Viable System Model --- automotive industry --- hybrid components stack --- titanium --- magnesium --- repair and maintenance operations --- roughness average (Ra) --- ANOVA --- in-process measurement --- geometric accuracy --- grinding process --- tapered roller bearings --- single --- point --- incremental --- forming --- thermoplastics --- biocompatible --- temperature --- process --- parameters --- 3D printing --- correlation coefficients --- fused deposition modeling --- non-parametric tests --- surface roughness --- LMD --- laser metal deposition --- shielding gas --- argon --- helium --- melt pool temperature --- synthetic polymer --- bioprinting --- multi-material microextrusion --- bioink --- Selective Laser Melting --- thermo fluidic --- phase change --- consolidation --- Arbitrary Lagrangean–Eulerian Method --- metallic powder --- basalt fiber reinforced plastic (BFRP) --- delamination --- edge trimming --- tool wear --- scaffold --- PCL --- RepRap --- fused filament fabrication --- three-dimensional --- cell culture --- design --- topological optimization --- cost --- stock --- spare parts --- free-form filament fabrication (FFF) --- robot-assisted polishing --- force signal --- end point detection --- WAAM --- GMAW --- cold metal transfer --- hardness --- mechanical properties --- thermal input --- microstructure --- Synchrotron X-rays --- lithography --- curved substrate --- microstructures --- computed tomography --- surface extraction --- Canny algorithm --- Deriche algorithm --- carbon fiber reinforced polymer --- hole quality characteristics --- geometrical parameters --- roughness parameters --- taper --- heat affected zone --- product lifecycle management (PLM) --- manufacturing problem solving (MPS) --- fault diagnosis --- smart factory --- process failure mode and effect analysis (PFMEA) --- case-based reasoning (CBR) --- hole making --- surface texture --- contact measurement --- optical measurement --- delphi prospection --- education --- employment --- feature-based modeling --- inspection planning --- dimensional and geometrical specification --- process specification --- collaborative and integrated product-process development --- modeling --- laser processing --- simulation --- pyrometer --- aluminum --- brain --- rapid prototyping --- atlas --- rat --- magnetic resonance imaging --- educative model --- scaffolds --- porosity --- pore size --- multiobjective optimization --- priority dispatching rules --- simulation optimization --- job shop scheduling --- flexible manufacturing systems --- service-oriented manufacturing systems --- maintenance --- aircrat engine repair and overhaul (MRO) --- incremental forming --- FEM --- force prediction --- numerical model --- semi-analytical model --- specific energy --- welding distortion --- LSND (low stress no distortion) --- htTTT --- model validation --- Compression-After-Impact testing --- Compression-After-Impact strength --- carbon fiber reinforced plastics --- flat specimen --- AA7075 --- risk assessment --- dangerous substance --- Directive 89/391/EEC --- Directive 2012/18/EU --- ISO 45001:2018 standard --- emerging risk --- major accident --- manufacturing --- occupational accident --- risk management --- manufacturing industry --- bow-tie analysis --- pallet mover accidents --- accident analysis --- safety barriers --- sheet metal forming --- flanging --- hole-flanging --- incremental sheet forming --- Single Point Incremental Forming (SPIF) --- thickness distribution --- additive manufacturing and 3D printing --- advances and innovations in manufacturing processes --- sustainable and green manufacturing --- manufacturing systems: machines --- equipment and tooling --- metrology and quality in manufacturing --- product lifecycle management (PLM) technologies --- risks
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