281,255 research outputs found

    Effect of process parameters on forming quality of SiCp/TC11 titanium matrix composites by selective laser melting (SLM)

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    In this paper, SiCp/TC11 titanium matrix composites were prepared by selective laser melting. The influence of laser process parameters on the forming quality of composites was studied by control variable method. The results show that the process parameters have a significant effect on the forming quality of the composite material. The laser power has the greatest influence on the density, followed by the scanning spacing, and the scanning speed has a relatively small influence. When the laser power is 160 ~ 180 W, the scanning speed is 1 000 ~ 1 200 mm/s, and the scanning spacing is 0,1 mm, the forming quality of the sample is better

    High temperature plastic deformation constitutive model of Mg-Zn-Zr-Y alloy

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    In order to accurately predict the flow stress of Mg-Zn-Zr-Y alloy at high temperature, the hot compression test of Mg-Zn-Zr-Y alloy was carried out on Gleeble-1500 thermal / mechanical simulator. The deformation temperature was 523 K, 573 K, 623 K, and the strain rate was 0,01 ~ 1 s-1. By obtaining the true stress-strain curve, the strain compensation factor Z parameter was introduced into the Arrhenius equation to establish a more accurate strain coupling constitutive model. The results show that the theoretical value of the peak stress calculated by the constitutive model is in good agreement with the experimental results, and the average relative error is 5,67 %, which verifies the feasibility of the model

    Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data

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    A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015–2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared

    Supplementary Material for: Blood eosinophil count and its determinants in a Chinese population-based cohort

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    Introduction: Blood eosinophil count has been shown markedly variable across different populations. However, its distribution in Chinese general population remains unclear. We aimed to investigate blood eosinophil count and its determinants in a Chinese general population. Methods: In this population-based study, general citizens of Sichuan province in China were extracted from the China Pulmonary Health study. Data on demographics, personal and family history, living condition, lifestyle, spirometry and complete blood count test were obtained and analyzed. A stepwise multivariate binary logistic regression analysis was performed to identify determinants of high blood eosinophils (>75th percentile). Results: A total of 3310 participants were included, with a mean age (SD) of 47.0 (15.6) years. In total population, the median blood eosinophil count was 110.0 (IQR 67.2-192.9) cells/ÎŒL, lower than that in smokers (133.4 cells/ÎŒL, IQR 79.3-228.4) and patients with asthma (140.7 cells/ÎŒL, IQR 79.6-218.2) or post-bronchodilator airflow limitation (141.5 cells/ÎŒL, IQR 82.6-230.1), with a right-skewed distribution. Multivariate analyses revealed that oldness (aged ≄60 years) (OR 1.66, 95% CI 1.11-2.48), smoking ≄ 20 pack-years (OR 1.90, 95% CI 1.20-3.00), raising dog/cat (OR 1.72, 95% CI 1.17-2.52) and occupational exposure to dust, allergen and harmful gas (OR 1.58, 95% CI 1.15-2.15) were significantly associated with high blood eosinophils. Conclusion: This study identifies a median blood eosinophil count of 110.0 cells/ÎŒL and determinants of high blood eosinophils in a Chinese general population, including oldness (aged ≄60 years), smoking ≄ 20 pack-years, raising dog/cat and occupational exposure to dust, allergen and harmful gas