Abstract: An annular water removal system (AWRS) for an air cycle environmental control system (ECS) includes a line replaceable unit (LRU) configured to output air flow, and a water collector coupled to the LRU. The water collector includes an upper portion and a lower portion. The upper portion includes a coalescing unit having a collector inlet to receive the air flow and configured to coalesce moisture from the air flow output from the LRU. The lower portion includes a collection unit in fluid communication with the coalescing unit. The collection unit is configured to collect the moisture coalesced by the coalescing unit.

Abstract: An annular water removal system (AWRS) for an air cycle environmental control system (ECS) includes a line replaceable unit (LRU) configured to output air flow, and a water collector coupled to the LRU. The water collector includes an upper portion and a lower portion. The upper portion includes a coalescing unit having a collector inlet to receive the air flow and configured to coalesce moisture from the air flow output from the LRU. The lower portion includes a collection unit in fluid communication with the coalescing unit. The collection unit is configured to collect the moisture coalesced by the coalescing unit.

Abstract: A heat exchanger includes a header and an annular core fluidly connected to the header. The annular core includes an inner diameter, an outer diameter, first flow channels arranged in a first set of layers, and second flow channels arranged in a second set of layers and interleaved with the first flow channels. Each of the first flow channels includes a first inlet, a first outlet, and a first axial region extending between the first inlet and the first outlet. Each of the second flow channels includes a second inlet, a second outlet, and a second axial region extending between the second inlet and the second outlet.

Abstract: An annular water removal system (AWRS) for an air cycle environmental control system (ECS) includes a line replaceable unit (LRU) configured to output air flow, and a water collector coupled to the LRU. The water collector includes an upper portion and a lower portion. The upper portion includes a coalescing unit having a collector inlet to receive the air flow and configured to coalesce moisture from the air flow output from the LRU. The lower portion includes a collection unit in fluid communication with the coalescing unit. The collection unit is configured to collect the moisture coalesced by the coalescing unit.

Abstract: A heat exchanger includes a header and an annular core fluidly connected to the header. The annular core includes an inner diameter, an outer diameter, first flow channels arranged in a first set of layers, and second flow channels arranged in a second set of layers and interleaved with the first flow channels. Each of the first flow channels includes a first inlet, a first outlet, and a first axial region extending between the first inlet and the first outlet. Each of the second flow channels includes a second inlet, a second outlet, and a second axial region extending between the second inlet and the second outlet.

Abstract: Implementations of the disclosure are directed to improving the ductility of a tin-enriched AuSn solder alloy by doping the solder alloy with Germanium (Ge). The final AuSnGe alloy may consist of 75 to 80 wt % Au, 20 to 25 wt % Sn, and 0.05 to 1.5 wt % Ge.

Abstract: According to an example implementation, a computer-implemented method may include extracting, by a computing device, structured content from a website, determining a recent taxonomy by applying category rules to the structured content, the recent taxonomy including multiple categories and a new category, and updating a stored taxonomy based on the determined recent taxonomy by adding the new category to the stored taxonomy.

Abstract: According to an example implementation, a computer-implemented method may include extracting, by a computing device, structured content from a website, determining a recent taxonomy by applying category rules to the structured content, the recent taxonomy including multiple categories and a new category, and updating a stored taxonomy based on the determined recent taxonomy by adding the new category to the stored taxonomy.

Abstract: A training set generator may be configured to input a taxonomy including a hierarchy of categories and a plurality of top-level sites, and to output a training set of categorized data. The training set generator may include a crawler configured to crawl each of the top-level sites to determine at least one lower-level site associated therewith and to store the top-level sites and associated lower-level sites as crawl data. The training set generator also may include an extractor configured to determine, for each of the top-level sites, a corresponding site-specific extraction template associating at least one portion of the corresponding top-level site with at least one category of the hierarchy of categories, and further configured to apply each site-specific extraction template to corresponding crawl data to thereby associate the crawl data with the categories of the hierarchical categories and obtain categorized data of the training set.

Abstract: A training set generator may be configured to input a taxonomy including a hierarchy of categories and a plurality of top-level sites, and to output a training set of categorized data. The training set generator may include a crawler configured to crawl each of the top-level sites to determine at least one lower-level site associated therewith and to store the top-level sites and associated lower-level sites as crawl data. The training set generator also may include an extractor configured to determine, for each of the top-level sites, a corresponding site-specific extraction template associating at least one portion of the corresponding top-level site with at least one category of the hierarchy of categories, and further configured to apply each site-specific extraction template to corresponding crawl data to thereby associate the crawl data with the categories of the hierarchical categories and obtain categorized data of the training set.