1,773,291 research outputs found
Untitled Memorandum from AW to Orren beaty, March 8, 1963
Memorandum (1 p) from AW communicating a message from Mr. Langley to Mr Beaty about a session with the State Department.Epson Perfection 4870 Photo, 400 dpi, 8 bi
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aw intTo start his team the driver calls "oo-ish," (in the south this becomes "hoo-eet") to turn to the right "ouk," to the left "ra-der, ra-der" and to stop "aw-aw." The leader responds to the shouted directions and the pack follow.PRINTED ITEMUsed I and SupNot usedNot usedChecked by Cathy Wiseman on Tue 09 Sep 201
Influence of the welding process on the change of mechanical properties in the HAZ of welds at alloy AW 6005 and possibilities of their renewal by heat treatment
This paper deals with monitoring the influence of welding on the mechanical properties degradation in HAZ of welds at aluminium alloy AW 6005 and also with assessing the possibility of utilization the heat treatment to minimize these effects. Workpieces from alloy AW 6005 are mostly supplied in aged state. After application of the temperature cycles during welding, there is a very intensive decrease of the mechanical properties in HAZ. The mechanical properties of the weld metal, HAZ and parent material were evaluated by means of the Vickers hardness. Moreover, influence of annealing and artificial aging on the final mechanical properties of the parent material was also evaluated. Based on the results, there were chosen the relevant heat treatment parameters, which were subsequently applied in order to recover the mechanical properties of welds in the HAZ
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aw intEdmunds had a splendid team of dogs, wonderfully trained. The big, wolfish creatures loved him and they feared him. He almost never had to use the long walrus-hide whip. They obeyed him on the instant without hesitation - "Ooisht," and they pulled in the harness as one; "Aw," and they stopped.PRINTED ITEM DNE-citG.M. Story AUG 1970JH AUG 1970Used I and SupUsed I and SupUsed IChecked by Cathy Wiseman on Tue 09 Sep 201
Influence of temperature and sliding speed on the subsurface microstructure evolution of EN AW-6060 under sticking friction conditions
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in AIP Conference Proceedings 1896, 140012 (2017) and may be found at https://doi.org/10.1063/1.5008168.The microstructure evolution of the friction boundary layer of the aluminum alloy EN AW-6060 was investigated. Sticking friction tests at different temperatures and sliding speeds were carried out. A severe deformation below the friction surface was observed by means of LOM and EBSD mapping. Thus, the thickness variation and the grain structure of the high deformation zone could be described. Fibrous structure was observed at 300 °C and 400 °C, while equiaxed grains with high misorientation angle (>15°) were generated at higher temperatures. Additionally, abnormal grain growth and coarse grains were detected at high sliding speeds (10 mm/s, 42 mm/s) at 450°C and 500 °C respectively
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
AW core data
These data were created to analyse the Atlantic Water (AW) temperature maximum (i.e. the AW core) across the Arctic from many observational programs between 1977 - 2018, with the aim to give a picture of the spatial and temporal variation in the AW core. The AW core temperature, salinity and pressure (depth) are included. The data are in netCDF format, and can be interpreted by a range of software e.g. Python (xarray module), Matlab, cdo, nco, etc.
The AW core of a given vertical profile is defined here as the warmest part of the profile with salinity greater than 34.7 psu. To promote accurate AW core identification, only profiles that started above 100 m depth and sampled more than 500 m of the water column are included in this dataset. Furthermore, before locating the AW core, profiles were smoothed over a vertical distance of 80 m by taking the mean of the profile data within 40 m of each data point. This removed spikes due to thermohaline intrusions and eddies, whilst preserving the general shape and magnitude of the temperature profile.
Please note that in the original paper which used this data (Richards et al. 2022), monthly mean profiles were used for mooring data, whereas this dataset includes all mooring profiles. This gives the user maximum flexibility
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