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Digital Material Surface Image Analysis for Evaluating Geometric Fatigue Crack Parameters
A procedure for acquiring and analyzing digital fatigue crack propagation images is advanced, which provides automatic crack size detection and the...
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Fractal-Related Multiscale Geometric Characterisation of Topographies
In this chapter, the basic natures of fractalsFractal and multiscale characterisations are discussed, and practical applications of these...
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Monitoring the forming dimensions of components produced by arc-directed energy deposition based on a molten pool’s geometric characteristics
A deposition size monitoring method based on a molten pool’s geometric characteristics, including image calibration, contour extraction, contour...
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Three-dimensional deviation analysis and digital visualization of shape change before and after conservation treatment of historic kiln site
The Gang** Celadon Kiln, after its excavation in 1982, was relocated and restored in 1987 and subjected to primary conservation treatment in 2007....
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Elastic Modulus Prediction from Indentation Using Machine Learning: Considering Tip Geometric Imperfection
Instrumented indentation technique provides a simple and quick means to investigate mechanical properties such as hardness and elastic modulus near...
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Next-Generation Materials and Digital Additive Technologies for the Production of Resource Parts in FGUP VIAM: II. Deviation Compensation and Control, HIP, and Heat Treatment
Abstract —The generation of supporting structures, the compensation of geometric deviations in the process of selective laser synthesis,...
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Study of Geometric Parameters and Mechanical Properties of Metal-Based Composites
As the aerospace industry continues to grow, so does the demand for new materials that can withstand high temperatures and corrosive environments. In...
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Unperceivable motion mimicking hygroscopic geometric resha** of pine cones
The hygroscopic deformation of pine cones, featured by opening and closing their scales depending on the environmental humidity, is a well-known...
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Impact of End Friction and Lateral Inertia Confinement on the Dynamic Compressive Performance of Standard and High-Strength Concrete
Present study focused on to investigate the impact of end friction and lateral inertia on the dynamic properties of concrete obtained by performing...
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Time-Resolved Geometric Feature Tracking Elucidates Laser-Induced Keyhole Dynamics
During laser melting of metals, localized metal evaporation resulting in the formation of a keyhole shaped cavity can occur if processing conditions...
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On the Limits of the Geometric Scale Ratio Using Water Modeling in Ladles
Scaled-down models have been extensively employed to study fluid flow phenomena in metallurgical ladles. The geometric scale factor in the models...
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Patient-Specific Cranial Implant Fabrication: Evaluating Single-Point Incremental Forming with Perforated Titanium Grade-2 Sheets
Single-point incremental forming (SPIF) has emerged as a promising method, offering efficiency and precision in creating patient-specific implants....
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Evaluation of Surface Flatness and Roughness for Marble Products Produced with CNC Machining
Industrial parts quality manufactured with CNC machining is related to the cutting parameters, the material of the part, and the part geometry....
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Forty years of durability assessment of nuclear waste glass by standard methods
Standard methods to assess the durability of vitrified radioactive waste were first developed in the 1980’s and, over the last 40 years, have evolved...
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One-order closed model of fluctuating particle coagulation term in the Reynolds averaged general dynamic equation for nanoparticles
The effect of fluctuating coagulation on particle distribution in multiphase turbulence of nanoparticles was studied based on the Reynolds averaged...
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Development of a high-temperature (295–900 K) Seebeck coefficient Standard Reference Material
We report the development of a high-temperature Seebeck coefficient Standard Reference Material (SRM) for use in instrument validation and...
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Improving the Accuracy of ACI 318-08 Design Standard for Predicting Strength of CFST Columns Using Machine Learning
This study proposes a new modified ACI 318-08 formula based on machine learning (ML) to forecast better the compressive strength of Concrete-Filled...
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Investigation of Dimensional Integrity and Surface Quality of Different Thin-Walled Geometric Parts Produced via Fused Deposition Modeling 3D Printing
Advances in 3D printer technology are increasing rapidly, enabling the creation of many products. However, there are problems in ensuring dimensional...
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Machine Learning Approach to Predict Feature Dimensions for Fused Deposition Modelling
Additive manufacturing (AM) offers an efficient way of building complicated geometry in a shorter and cost-effective manner. Though process...
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Influence of Geometric Parameters on Flatwise Compression Properties of a Novel Lattice Sandwich
Fiber reinforced composite lattice sandwich structures are lightweight attractive for their excellent mechanical properties. It is an ideal option...
