2019
DOI: 10.1016/j.ceramint.2018.10.039
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Effects of BN on the microstructural evolution and mechanical properties of BAS-BN composites

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Cited by 18 publications
(13 citation statements)
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“…These results suggest that a homogenous particle packing in the green body was provided by tape casting (or colloidal processing) method due to dispersion of the plate-like hBN particles, which allowed high hBN loading into the dense Al 2 O 3 /glass structure. Similar effects of the platelet hBN particles on densification were reported in barium aluminosilicate (BaAl 2 Si 2 O 8 , BAS)/ hBN (10 to 50 wt%) composites fabricated by hot pressing at 1500°C [16]. The bulk density decreased from 3.18 g/cm 3 at 10 wt% hBN without any visible micro-cracks to 2.22 g/cm 3 at 50 wt% hBN with cracks and voids.…”
Section: Resultssupporting
confidence: 67%
“…These results suggest that a homogenous particle packing in the green body was provided by tape casting (or colloidal processing) method due to dispersion of the plate-like hBN particles, which allowed high hBN loading into the dense Al 2 O 3 /glass structure. Similar effects of the platelet hBN particles on densification were reported in barium aluminosilicate (BaAl 2 Si 2 O 8 , BAS)/ hBN (10 to 50 wt%) composites fabricated by hot pressing at 1500°C [16]. The bulk density decreased from 3.18 g/cm 3 at 10 wt% hBN without any visible micro-cracks to 2.22 g/cm 3 at 50 wt% hBN with cracks and voids.…”
Section: Resultssupporting
confidence: 67%
“…9. Moreover, it was shown that the introduction of BN results in the strengthening and toughening of ceramic composites [28,82,175].…”
Section: Strengthmentioning
confidence: 99%
“…Recently, the population-based meta-heuristic algorithms that can handle constrained optimization problems have become the efficient and effective techniques for path planning [2,[12][13][14][15][16][17][18][19][20]. By designing specific objective functions or constraint functions, both the self-constraints of UAV and environmental constraints can be taken into account during the planning process [21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Roberge et al [2] compared the performance of parallel GA and particle swarm optimization (PSO) for real-time UAV path planning. In addition, the artificial bee colony (ABC) [13], ant colony optimization (ACO) [14], water drops optimization (WDO) [15], and their variations have also been utilized to search the optimal flight path for single or multiple UAVs. More critical situation such as scenarios with disaster and dynamic threats usually desires improved intelligent algorithms [18][19][20].…”
Section: Introductionmentioning
confidence: 99%