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Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.

Technology: general issues --- History of engineering & technology --- composites --- multi-scale --- embedded damage --- non-destructive testing --- photoacoustic --- ultrasonic representation --- terahertz --- coded-aperture imaging --- convolution neural network (CNN) --- fast image reconstruction --- nondestructive evaluation --- acoustic nonlinearity parameter --- indirect method --- laser ultrasound --- fully non-contact --- surface acoustic wave --- UWB-PPM --- UWB-OOK --- buried objects --- nondestructive environment --- Levenberg–Marquardt method --- textured surface anomaly detection --- computer vision --- deep learning --- attention mechanism --- adaptive fusion --- power quality disturbances --- long short term memory --- convolutional neural network --- short time Fourier transform --- leaky Lamb wave --- semi-analytical finite element (SAFE) --- waveguide sensor --- finite-width plate --- waveguide plate --- width modes --- spatial beating --- Rayleigh–Sommerfeld integral (RSI) --- weld cracks --- eddy current nondestructive testing --- gradiently relative magnetic permeability --- heat affected zone --- austenitic stainless steel --- circulating fluidized bed combustion boiler --- water-cooled wall tube --- magnetic sensor array --- magnetic flux density --- flexible ultrasonic probe --- neutron irradiation embrittlement --- reactor pressure vessel --- magnetic nondestructive evaluation --- micromagnetic multiparameter microstructure and stress analysis 3MA --- magnetic adaptive testing --- 3D imaging of metal grains --- non-destructive testing methods --- stacking images --- SA106 carbon steel --- terahertz waves --- refractive index --- thickness measurement --- Shim stock films --- composite materials --- reflection mode --- neutron radiography --- Bragg-edge imaging --- gas tungsten arc welding (GTAW) --- low transformation temperature (LTT) steel --- austenite-to-martensite transformation --- Debye–Waller factor --- n/a --- Levenberg-Marquardt method --- Rayleigh-Sommerfeld integral (RSI) --- Debye-Waller factor

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Fluid interfaces are promising candidates for confining different types of materials - e.g., polymers, surfactants, colloids, and even small molecules - and for designing new functional materials with reduced dimensionality. The development of such materials requires a deepening of the Physico-chemical bases underlying the formation of layers at fluid interfaces, as well as on the characterization of their structures and properties. This is of particular importance because the constraints associated with the assembly of materials at the interface lead to the emergence of equilibrium and dynamics features in the interfacial systems, which are far from those conventionally found in the traditional materials. This Special Issue is devoted to studies on fundamental and applied aspects of fluid interfaces, trying to provide a comprehensive perspective on the current status of the research field.

Technology: general issues --- thermal radiations --- magnetic field --- Carreau fluid --- stretching/shrinking surface --- Hall effect --- nonlinear radiations --- HAM --- desulfurization wastewater evaporation technology --- evaporation performance --- orthogonal test --- simulation --- spray coating --- coating film formation --- leveling of coating surface --- fluorescence method --- visualization --- ferromagnetic --- nanofluid --- bioconvection --- porous medium --- heat suction/injection --- magnetic dipole --- liquid-infused surfaces --- durability --- lubricants --- wetting --- liquid-repellent coatings --- annealed Co40Fe40W20 thin films --- magnetic tunnel junctions (MTJs) --- X-ray diffraction (XRD) --- contact angle --- surface energy --- nanomechanical properties --- Prandtl nanofluid flow --- convectively heated surface --- stochastic intelligent technique --- Levenberg Marquardt method --- backpropagated network --- artificial neural network --- Adam numerical solver --- surface hydrophilicity --- graphene --- ice formation --- clearance --- molecular dynamic simulation --- dynamics --- fluid interfaces --- inhalation --- lung surfactant --- nanoparticles --- pollutants --- rheology --- emulsion --- droplet size --- microscopy-assisted --- image analysis --- laser diffraction --- turbidity --- viscosity --- Ree-Eyring nanofluid --- viscous dissipation --- Cattaneo-Christov model --- Koo-Kleinstreuer model --- chemical reaction --- heat transfer --- stretching cylinder --- nonlinear radiation --- Powell–Eyring --- Darcy–Forchheimer --- n/a --- Powell-Eyring --- Darcy-Forchheimer

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Fluid interfaces are promising candidates for confining different types of materials - e.g., polymers, surfactants, colloids, and even small molecules - and for designing new functional materials with reduced dimensionality. The development of such materials requires a deepening of the Physico-chemical bases underlying the formation of layers at fluid interfaces, as well as on the characterization of their structures and properties. This is of particular importance because the constraints associated with the assembly of materials at the interface lead to the emergence of equilibrium and dynamics features in the interfacial systems, which are far from those conventionally found in the traditional materials. This Special Issue is devoted to studies on fundamental and applied aspects of fluid interfaces, trying to provide a comprehensive perspective on the current status of the research field.

Technology: general issues --- thermal radiations --- magnetic field --- Carreau fluid --- stretching/shrinking surface --- Hall effect --- nonlinear radiations --- HAM --- desulfurization wastewater evaporation technology --- evaporation performance --- orthogonal test --- simulation --- spray coating --- coating film formation --- leveling of coating surface --- fluorescence method --- visualization --- ferromagnetic --- nanofluid --- bioconvection --- porous medium --- heat suction/injection --- magnetic dipole --- liquid-infused surfaces --- durability --- lubricants --- wetting --- liquid-repellent coatings --- annealed Co40Fe40W20 thin films --- magnetic tunnel junctions (MTJs) --- X-ray diffraction (XRD) --- contact angle --- surface energy --- nanomechanical properties --- Prandtl nanofluid flow --- convectively heated surface --- stochastic intelligent technique --- Levenberg Marquardt method --- backpropagated network --- artificial neural network --- Adam numerical solver --- surface hydrophilicity --- graphene --- ice formation --- clearance --- molecular dynamic simulation --- dynamics --- fluid interfaces --- inhalation --- lung surfactant --- nanoparticles --- pollutants --- rheology --- emulsion --- droplet size --- microscopy-assisted --- image analysis --- laser diffraction --- turbidity --- viscosity --- Ree-Eyring nanofluid --- viscous dissipation --- Cattaneo-Christov model --- Koo-Kleinstreuer model --- chemical reaction --- heat transfer --- stretching cylinder --- nonlinear radiation --- Powell-Eyring --- Darcy-Forchheimer

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This book details the advanced actuators for IEVs and the control algorithm design. In the actuator design, the configuration four-wheel independent drive/steering electric vehicles is reviewed. An in-wheel two-speed AMT with selectable one-way clutch is designed for IEV. Considering uncertainties, the optimization design for the planetary gear train of IEV is conducted. An electric power steering system is designed for IEV. In addition, advanced control algorithms are proposed in favour of active safety improvement. A supervision mechanism is applied to the segment drift control of autonomous driving. Double super-resolution network is used to design the intelligent driving algorithm. Torque distribution control technology and four-wheel steering technology are utilized for path tracking and adaptive cruise control. To advance the control accuracy, advanced estimation algorithms are studied in this book. The tyre-road peak friction coefficient under full slip rate range is identified based on the normalized tyre model. The pressure of the electro-hydraulic brake system is estimated based on signal fusion. Besides, a multi-semantic driver behaviour recognition model of autonomous vehicles is designed using confidence fusion mechanism. Moreover, a mono-vision based lateral localization system of low-cost autonomous vehicles is proposed with deep learning curb detection. To sum up, the discussed advanced actuators, control and estimation algorithms are beneficial to the active safety improvement of IEVs.

Technology: general issues --- History of engineering & technology --- Mechanical engineering & materials --- curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution

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This book details the advanced actuators for IEVs and the control algorithm design. In the actuator design, the configuration four-wheel independent drive/steering electric vehicles is reviewed. An in-wheel two-speed AMT with selectable one-way clutch is designed for IEV. Considering uncertainties, the optimization design for the planetary gear train of IEV is conducted. An electric power steering system is designed for IEV. In addition, advanced control algorithms are proposed in favour of active safety improvement. A supervision mechanism is applied to the segment drift control of autonomous driving. Double super-resolution network is used to design the intelligent driving algorithm. Torque distribution control technology and four-wheel steering technology are utilized for path tracking and adaptive cruise control. To advance the control accuracy, advanced estimation algorithms are studied in this book. The tyre-road peak friction coefficient under full slip rate range is identified based on the normalized tyre model. The pressure of the electro-hydraulic brake system is estimated based on signal fusion. Besides, a multi-semantic driver behaviour recognition model of autonomous vehicles is designed using confidence fusion mechanism. Moreover, a mono-vision based lateral localization system of low-cost autonomous vehicles is proposed with deep learning curb detection. To sum up, the discussed advanced actuators, control and estimation algorithms are beneficial to the active safety improvement of IEVs.

Technology: general issues --- History of engineering & technology --- Mechanical engineering & materials --- curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution