To address the misplacement of fine particles in the underflow caused by structural defects in conventional hydrocyclones, a composite column-cone hydrocyclone (C-C hydrocyclone) was proposed, featuring a cone-column-cone structure. Computational Fluid Dynamics (CFD) techniques were employed to study the diameter ratio and various configurations of C-C hydrocyclone, assessing the impact on separation performance. Results indicated that increasing the column section diameter ratio from 0.5 to 0.7 reduced the cutting size by 22.96 %, enhanced sharpness by 9.87 %, and improved separation efficiency. These findings offer valuable insights for the design and application of C-C hydrocyclones based on specific requirements such as grinding classification and flotation operations.
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As a highly ductile concrete, engineered cementitious composites (ECC) can be used as pavement to form a lightweight composite bridge deck system. However, the structural damage introduced by fatigue load in operation might lead to the degradation of structural performance. In this paper, piezoelectric sensors and hierarchical clustering algorithm are used to identify structural damage of steel-ECC composite deck. First, three steel-ECC composite decks were tested under four-point loading, and the electrical impedance signals were measured. The root mean square deviation (RMSD) was extracted to quantify the structural damage severities and locations. Then the frequency interval is divided into nine sub-frequency range to employ the sensitivity analysis. On this basis, a hierarchical clustering algorithm was introduced to analyze the impedance signal to identify the damage of steel-ECC composite deck. The results show that the development of the structural damage can be continuously monitored using impedance methodology and hierarchical clustering algorithm even in the case of small unlabeled datasets.
The purpose of this study was to quantify the impact of smartphone use while sitting on the toilet on the spinal flexion angles and the time effect. Methods: Measurements of the spinal flexion angles in the sagittal plane were made by thirty participants while they sat on the toilet for 10 min, using a smartphone in either one, both, or neither hand. The individual’s forehead, cervical, thoracic and lumbar spinal areas were each fitted with five different inertial motion sensors. SPSS 26.0 software was used to statistically evaluate all of the data. Results: People who used smartphones with both hands had considerably larger (P < 0.05) cervical and spinal flexion angles than those who did not. A statistically significant (P < 0.001) association was observed by regression analysis between time and spinal flexion angle (r = 0.747 for no smartphone, r = 0.793 for a smartphone used in one hand and r = 0.855 for a smartphone used in both hands). Consequently, when using the smartphone with both hands, the flexion angle of the spine entered a more stable state of angles. Conclusions: The results showed that the cervical region’s flexion angles change when using a smartphone while sitting on the toilet. Even when not using a smartphone, the flexion angle of the spine when sitting on the toilet will progressively increase.
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