RESUMO
In this study, total flavonoids from the Chinese herb tulip were extracted by ultrasound-assisted extraction (UAE), their main components were analysed and confirmed, and their antioxidant and anti-inflammatory activities were evaluated. The results showed that the extraction rate of total flavonoids from the Chinese herb tulip reached 390.77 ± 3.88 mg·g-1 after optimisation by one-factor test and response surface methodology. 23 compounds were identified in the solution of total flavonoids from the Chinese herb tulip, including 18 flavonoids such as Hyperoside, Quercetin, Astilbin, etc., and the effects of total flavonoids of the Chinese herb tulip (TFT) on ABTS+ radicals, DPPH radicals, and superoxide anion with a good scavenging rate, good total reducing power, and total antioxidant capacity. Secondly, TFT showed good inhibition of 5-lipoxygenase (5-LOX) and cyclooxygenase-2 (COX-2).
RESUMO
Volumetric defect types commonly observed in the additively manufactured parts differ in their morphologies ascribed to their formation mechanisms. Using high-resolution X-ray computed tomography, this study analyzes the morphological features of volumetric defects, and their statistical distribution, in laser powder bed fused Ti-6Al-4V. The geometries of three common types of volumetric defects; i.e., lack of fusions, gas-entrapped pores, and keyholes, are quantified by nine parameters including maximum dimension, roundness, sparseness, aspect ratio, and more. It is shown that the three defect types share overlaps of different degrees in the ranges of their morphological parameters; thus, employing only one or two parameters cannot uniquely determine a defect's type. To overcome this challenge, a defect classification methodology incorporating multiple morphological parameters has been proposed. In this work, by employing the most discriminating parameters, this methodology has been shown effective when implemented into decision tree (>98% accuracy) and artificial neural network (>99% accuracy).