Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Local Fiber Orientation from X-ray Region-of-Interest Computed
  Tomography of large Fiber Reinforced Composite Components   The local fiber orientation is a micro-structural feature crucial for the
mechanical properties of parts made from fiber reinforced polymers. It can be
determined from micro-computed tomography data and subsequent quantitative
analysis of the resulting 3D images. However, although being by nature
non-destructive, this method so far has required to cut samples of a few
millimeter edge length in order to achieve the high lateral resolution needed
for the analysis. Here, we report on the successful combination of
region-of-interest scanning with structure texture orientation analysis
rendering the above described approach truly non-destructive. Several regions
of interest in a large bearing part from the automotive industry made of fiber
reinforced polymer are scanned and analyzed. Differences of these regions with
respect to local fiber orientation are quantified. Moreover, consistency of the
analysis based on scans at varying lateral resolutions is proved. Finally,
measured and numerically simulated orientation tensors are compared for one of
the regions.

37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci