“…Based on the characteristics of Figure 2c, the common feature of both functions can be obtained, which is that they are parallel to the line ŴSST = W. Therefore, considering the drawbacks of both functions, we need an asymptotic semisoft threshold function to compensate for the discontinuity of the hard threshold function and the deviation of the soft threshold function, i.e., it can eliminate sudden changes in pixel grayscale values and weaken blurring effects. Since the line ŴSST = W belongs to the oblique asymptote, and Equation (2) has this feature, we construct the formula shown in Equation (5).…”
Section: Adaptive Noise Removal In Wavelet Domainmentioning
confidence: 99%
“…Zirconium and its compounds have unique physicochemical properties, e.g., amazing corrosion resistance, extremely high melting point, and ultrahigh hardness and strength, accounting for their applications in engineering and science [ 1 , 2 ]. As a relatively rare metal material, zirconium sheet plays a significant role in machinery manufacturing, aerospace, nuclear reactor, chemical industry, ceramic industry, and other fields [ 3 , 4 , 5 , 6 , 7 , 8 ]. However, in various production and processing processes, scratches will appear on the surface of zirconium sheets due to various factors.…”
Zirconium sheet has been widely used in various fields, e.g., chemistry and aerospace. The surface scratches on the zirconium sheets caused by complex processing environment have a negative impact on the performance, e.g., working life and fatigue fracture resistance. Therefore, it is necessary to detect the defect of zirconium sheets. However, it is difficult to detect such scratch images due to lots of scattered additive noise and complex interlaced structural texture. Hence, we propose a framework for adaptively detecting scratches on the surface images of zirconium sheets, including noise removing and texture suppressing. First, the noise removal algorithm, i.e., an optimized threshold function based on dual-tree complex wavelet transform, uses selected parameters to remove scattered and numerous noise. Second, the texture suppression algorithm, i.e., an optimized relative total variation enhancement model, employs selected parameters to suppress interlaced texture. Finally, by connecting disconnection based on two types of connection algorithms and replacing the Gaussian filter in the standard Canny edge detection algorithm with our proposed framework, we can more robustly detect the scratches. The experimental results show that the proposed framework is of higher accuracy.
“…Based on the characteristics of Figure 2c, the common feature of both functions can be obtained, which is that they are parallel to the line ŴSST = W. Therefore, considering the drawbacks of both functions, we need an asymptotic semisoft threshold function to compensate for the discontinuity of the hard threshold function and the deviation of the soft threshold function, i.e., it can eliminate sudden changes in pixel grayscale values and weaken blurring effects. Since the line ŴSST = W belongs to the oblique asymptote, and Equation (2) has this feature, we construct the formula shown in Equation (5).…”
Section: Adaptive Noise Removal In Wavelet Domainmentioning
confidence: 99%
“…Zirconium and its compounds have unique physicochemical properties, e.g., amazing corrosion resistance, extremely high melting point, and ultrahigh hardness and strength, accounting for their applications in engineering and science [ 1 , 2 ]. As a relatively rare metal material, zirconium sheet plays a significant role in machinery manufacturing, aerospace, nuclear reactor, chemical industry, ceramic industry, and other fields [ 3 , 4 , 5 , 6 , 7 , 8 ]. However, in various production and processing processes, scratches will appear on the surface of zirconium sheets due to various factors.…”
Zirconium sheet has been widely used in various fields, e.g., chemistry and aerospace. The surface scratches on the zirconium sheets caused by complex processing environment have a negative impact on the performance, e.g., working life and fatigue fracture resistance. Therefore, it is necessary to detect the defect of zirconium sheets. However, it is difficult to detect such scratch images due to lots of scattered additive noise and complex interlaced structural texture. Hence, we propose a framework for adaptively detecting scratches on the surface images of zirconium sheets, including noise removing and texture suppressing. First, the noise removal algorithm, i.e., an optimized threshold function based on dual-tree complex wavelet transform, uses selected parameters to remove scattered and numerous noise. Second, the texture suppression algorithm, i.e., an optimized relative total variation enhancement model, employs selected parameters to suppress interlaced texture. Finally, by connecting disconnection based on two types of connection algorithms and replacing the Gaussian filter in the standard Canny edge detection algorithm with our proposed framework, we can more robustly detect the scratches. The experimental results show that the proposed framework is of higher accuracy.
“…Cations' valence and size affect the stabilization mechanism of the tetragonal phase [47][48][49][50], even if the correlation is not univocal, as suggested by Yoshimura et al [51].…”
Zirconia–alumina composites couple the high toughness of zirconia with the peculiar properties of alumina, i.e., hardness, wear, and chemical resistance, so they are considered promising materials for orthopedic and dental implants. The design of high performance zirconia composites needs to consider different aspects, such as the type and amount of stabilizer and the sintering process, that affect the mechanics of toughening and, hence, the mechanical properties. In this study, several stabilizers (Y2O3, CuO, Ta2O5, and CeO2) were tested together with different sintering processes to analyze the in situ toughening mechanism induced by the tetragonal–monoclinic (t–m) transformation of zirconia. One of the most important outcomes is the comprehension of the opposite effect played by the grain size and the tetragonality of the zirconia lattice on mechanical properties, such as fracture toughness and bending strength. These results allow for the design of materials with customized properties and open new perspectives for the development of high-performance zirconia composites for orthopedic implants with high hydrothermal resistance. Moreover, a near-net shape forming process based on the additive manufacturing technology of digital light processing (DLP) was also studied to produce ceramic dental implants with a new type of resin–ceramic powder mixture. This represents a new frontier in the development of zirconia composites thanks to the possibility to obtain a customized component with limited consumption of material and reduced machining costs.
“…The observed phenomenon can be attributed to various factors, such as a heightened rate of work hardening, the development of dislocation tangles around the particles, a consistent distribution of reinforcement, and plastic incongruity between the reinforcement and matrix [45][46][47][48]. Zirconium Oxide also improved the exural strength of composite when it is added in different wt.% into the composite [49][50][51]. Different ammability tests such as Cone calorimetry and horizontal burning as residual showed that zirconium oxide is advantageous to boosting the char layer's strength and its barrier effect on oxygen and heat [52].…”
This study proposes a novel approach to enhance the sustainability of polyurethane foam (PUF) by using renewable castor oil as a partial substitute for petrochemical polyols. The research focuses on developing an organic, low-density PUF reinforced with graphite nanoparticles (GNP), bamboo charcoal (BC), and zirconium oxide (ZrO2) nanoparticles. These reinforcements are incorporated using an absorption and hydrothermal reduction (AHR) technique. The resulting composite material is then evaluated for its multifunctional attributes, including density, tensile strength, flammability, and dielectric constant. The experimental results demonstrate significant improvements in the mechanical properties of the bio-based PUF, with the tensile strength increasing from 80 to 114 KPa due to the addition of nanoparticles. Moreover, the flammability tests show that while the bio-based PUF without nanoparticles achieved a UL-94 flame rating of V-2, the nanoparticle-reinforced PUF achieved higher ratings of V-0 and V-1, indicating improved flame retardancy. Furthermore, the study systematically assesses the dielectric properties of the open-cell bio-foam, comparing experimental results with a statistical experimental design. Optimization using an RSM central composite design (CCD) reveals a composition of 0.5 wt.% GNP, 0.5 wt.% ZrO2, and 2.5 wt.% BC results in a high dielectric constant of 4.95, making it suitable for effective dielectric applications. Experimental confirmation and simulation using COMSOL Multiphysics validate the optimized parameters, with error percentages of 3.12% and 2.48%, respectively. Overall, these findings underscore the potential of the proposed material as a sustainable alternative to conventional materials, aligning it with the growing demand for environmentally conscious solutions.
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