Rapid detection methods face challenges in identifying various pesticide residues together, and sensor arrays are limited by high costs and complexity of receptor preparation. Inspired by self-assembled nanoenzymes, w...
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Image analysis is an important process required for characterization in different engineering domains. This work presents a novel image processing methodology to segment phases and quantify grain morphology in ultra-h...
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ISBN:
(数字)9798350369786
ISBN:
(纸本)9798350369793
Image analysis is an important process required for characterization in different engineering domains. This work presents a novel image processing methodology to segment phases and quantify grain morphology in ultra-high carbon steel (UHCS) micrographs. Unlike conventional global thresholding methods, an interactive random walker technique which leverages user-defined markers for localized phase discrimination was deployed. Adaptive histogram equalization enhances contrast to identify seed markers representing distinct phases. The random walker algorithm propagates labels from these seeds by minimizing an edge-weighted cost function. This interactive approach provides precise phase boundaries despite variability in grain morphology. The segmented output enables statistical grain size, shape, and orientation quantification. The study demonstrates the UHCS micrograph data for an input grayscale image, and the mean area, mean intensity, and mean orientation of all the grains are computed to be 716.667 px
2
, 129.449, and -53.648, respectively. By combining accessible preprocessing, interactive localization, and rigorous postprocessing, our pipeline automates the characterization of microstructural features from image customizable nature of this physics-based machine learning technique makes it widely applicable for robust characterization of varied material microstructures from images.
Experimental and computational methods are employed in this study to examine how varying heat treatment temperatures and composition of Moo3nanoparticles, a transition metal oxide (TMO) impact the mechanical propertie...
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ISBN:
(数字)9798350358834
ISBN:
(纸本)9798350358841
Experimental and computational methods are employed in this study to examine how varying heat treatment temperatures and composition of Moo3nanoparticles, a transition metal oxide (TMO) impact the mechanical properties of PEDOT:PSS/MoO3 thin film blends for organic photovoltaics (OPVs) and organic light emitting diode (OLED) applications. The study primarily investigates the mechanical properties (hardness and Young's modulus), microstructure and surface morphology of solution-processed PEDOT:PSS/MoO3 ink blends of different compositions prepared at temperature regimes between 60 to 120 °C. Nanoindentation is used to investigate mechanical properties and Scanning Probe Microscopy to examine the surface morphological and microstructural changes. mechanical maps and statistical deconvolutions are used to show the distribution of mechanical properties and phases respectively in the PEDOT:PSS/Mo03 thin film blends at the different annealing temperatures (60 - 120 °C). The experimental and computational results lead to the conclusion that incorporating different percentages of Moo3into PEDOT:PSS can, depending on the blended ratio improve the microstructure, mechanical properties and surface morphology of the PEDOT:PSS/MoO3 blends. Lightly doped PEDOT:PSS/MoO3 blends (1:0.1, 1:0.3), generally exhibit improved surface morphologies, enhanced elastic modulus and hardness, suitable for applications in efficient and mechanically durable electronic devices.
The first-ever investigation on rudorffite/silicon-based two-terminal (2T) tandem solar cells is presented in this innovative study, which investigates their potential to achieve unprecedented levels of efficiency. Th...
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A strategy that combines experiment and simulation to design and optimize electromagnetic (EM) metamaterial absorbers containing a periodic porous structure is described. The approach provides the ability to produce a...
A strategy that combines experiment and simulation to design and optimize electromagnetic (EM) metamaterial absorbers containing a periodic porous structure is described. The approach provides the ability to produce absorbers that meet multiple user-specified objectives. Using the measured intrinsic properties of the baseline materials as an input to EM-field based computational modelling and optimization, absorption by the studied metamaterials measured by their reflection loss (RL) increases significantly. The resulting metamaterials have the potential for lower cost and lighter weight while providing greater protection than traditional metal gaskets and foams.
This study introduces a novel method for manufacturing porous SUS316L using the metal material extrusion (MEX) process and examines the effects of the powder particle size on the pore structure, gas flowability, and m...
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This study introduces a novel method for manufacturing porous SUS316L using the metal material extrusion (MEX) process and examines the effects of the powder particle size on the pore structure, gas flowability, and mechanical properties. SUS316L foams were fabricated using powders with average sizes of 50 μm and 8 μm. Open pore diameters were approximately 10 μm for the 50 μm foam and 2 μm for the 8 μm foam. Gas flowability measurements revealed that the 50 μm foam exhibited slope values suitable for filtration applications, whereas the 8 μm foam showed lower flowability due to a reduced pore fraction and size. Compressive testing indicated yield strengths of 82.57 MPa and 141.33 MPa for the 50 μm and 8 μm foams, respectively, demonstrating superior strength-to-weight ratios compared to SUS316L foams fabricated by conventional methods and surpassing the mechanical performance of commercial 316L filters manufactured by powder metallurgy process. These findings highlight the capability of MEX in producing porous SUS316L structures with tunable pores and mechanical properties for various applications.
Vectored non-covalent interactions—mainly hydrogen bonding and aromatic interactions—extensively contribute to(bio)-organic self-assembling processes and significantly impact the physicochemical properties of the as...
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Vectored non-covalent interactions—mainly hydrogen bonding and aromatic interactions—extensively contribute to(bio)-organic self-assembling processes and significantly impact the physicochemical properties of the associated ***,vectored non-covalent interaction-driven assembly occursmainly along one-dimensional(1D)or three-dimensional(3D)directions,and a two-dimensional(2D)orientation,especially that of multilayered,graphene-like assembly,has been reported *** this present research,by introducing amino,hydroxyl,and phenyl moieties to the triazine skeleton,supramolecular layered assembly is achieved by vectored non-covalent *** planar hydrogen bonding network results in high stability,with a thermal sustainability of up to about 330°C and a Young’s modulus of up to about 40 *** introducing wrinkles by biased hydrogen bonding or aromatic interactions to disturb the planar organization,the stability ***,the intertwined aromatic interactions prompt a red edge excitation shift effect inside the assemblies,inducing broad-spectrum fluorescence covering nearly the entire visible light region(400–650 nm).We show that bionic,superhydrophobic,pillar-like arrays with contact angles of up to about 170°can be engineered by aromatic interactions using a physical vapor deposition approach,which cannot be realized through hydrogen *** findings show the feasibility of 2D assembly with engineerable properties by modulating vectored non-covalent interactions.
Global warming necessitates energy-efficient thermal management solutions, and radiative cooling has emerged as a promising strategy for buildings and wearable applications. Despite significant advancements, the effic...
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The preparation of cellulose-based flame retardant paper treated with sodium silicate and silicon dioxide (SiO2) colloidal particle by simple immersion process is reported. Cellulose-based paper was preheated at 90...
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Complex coating for corrosion protection was developed on magnesium alloy AZ31 using plasma electrolytic oxidation (PEO), spray pyrolysis (SP) and two-part paint. PEO coatings were obtained using electrolyte with phos...
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