Results 41 to 50 of about 4,027,438 (349)
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat +6 more
wiley +1 more source
MATHEMATICAL MORPHOLOGY BASED CHARACTERIZATION OF BINARY IMAGE
This paper reports the results of a theoretical study on morphological characterization of foreground (X) and background (Xc) of a discrete binary image. Erosion asymmetry and dilation asymmetry, defined to elaborate smoothing of an image respectively by
Raghvendra Sharma, B. S. Daya Sagar
doaj +1 more source
On the use of Global Urban Footprint to the Polish settlement vector database development [PDF]
Urbanization has a far-reaching impact on the environment, economy, political and social processes. Therefore, understanding the spatial distribution and evolution of human settlements is a key element in planning strategies that ensure the sustainable ...
Małgorzata Brzezińska-Klusek
doaj +1 more source
This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach +6 more
wiley +1 more source
On Nonlocal Mathematical Morphology [PDF]
In this paper, nonlocal mathematical morphology operators are introduced as a natural extension of nonlocal-means in the max-plus algebra. Firstly, we show that nonlocal morphology is a particular case of adaptive morphology. Secondly, we present the necessary properties to have algebraic properties on the associated pair of transformations.
Santiago Velasco-Forero, Jesús Angulo
openaire +2 more sources
This study reports the fabrication of trabecular bioactive glass scaffolds (composition “1d”: 46.1SiO2‐28.7CaO‐8.8MgO‐6.2P2O5‐5.7CaF2‐4.5Na2O wt%) through vat photopolymerization and the relevant results from mechanical testing and in vivo implantation procedures in rabbit femora, showing great promise for bone tissue engineering applications.
Dilshat Tulyaganov +8 more
wiley +1 more source
Linguistic Interpretation of Mathematical Morphology [PDF]
Mathematical Morphology is a theory based on geometry, algebra, topology and set theory, with strong application to digital image processing. This theory is characterized by two basic operators: dilation and erosion. In this work we redefine these operators based on compensatory fuzzy logic using a linguistic definition, compatible with previous ...
Bouchet, Agustina +4 more
openaire +3 more sources
Linking Heat Treatment to Plastic Deformation in Pearlitic Steels Through Mesoscale Modeling
Surface wear on rail and wheel steels results from surface deformation during use. This research uses mathematical models to forecast the plastic behavior of pearlitic steels, connected to the microstructure formed during heat treatment. While the cooling rate impacts the steels’ strength, the size of prior austenite grains and blocks does not ...
Saham Sadat Sharifi +5 more
wiley +1 more source
Thermally Induced Gelling Systems Based on Patchy Polymeric Micelles
A novel strategy to design thermally induced gelling systems with tunable material properties is reported. Polymeric mixed‐shell micelles displaying multiple thermosensitive patchy domains formed hydrogels by assembling into well‐entangled worm‐like network structures upon heating to body temperature. The patchy micelle design significantly affects the
Binru Han +9 more
wiley +1 more source
Nonlocal and multivariate mathematical morphology [PDF]
The generalization of mathematical morphology to multivariate images is addressed in this paper. The proposed approach is fully unsupervised and consists in constructing a complete lattice from an image as a rank transformation together with a learned ordering of vectors. This unsupervised ordering of vectors relies on three steps: dictionary learning,
Lezoray, Olivier, Elmoataz, Abderrahim
openaire +3 more sources

