1989
DOI: 10.1155/tsm.10.265
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Advantages of Neutron Diffraction in Texture Analysis

Abstract: Neutron diffraction texture analysis is based on pole figure measurement followed by pole figure inversion. Neutron diffraction pole figure measurement is quite similar to that by X-rays. There are, however, several advantages in detail which are mainly due to the lower absorption coefficient. Besides these quantitative differences, there is one principle difference between the two methods. Neutron diffraction allows the magnetic texture to be measured which is not possible by X-rays. The paper gives a survey … Show more

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Cited by 45 publications
(28 citation statements)
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“…The advantages of neutron diffraction for texture investigations are described in detail e.g. by Kleinsttick et al (1976), Bunge (1989) and Wenk (1993).…”
Section: Introductionmentioning
confidence: 99%
“…The advantages of neutron diffraction for texture investigations are described in detail e.g. by Kleinsttick et al (1976), Bunge (1989) and Wenk (1993).…”
Section: Introductionmentioning
confidence: 99%
“…The same holds, however, equally well for all other classes of crystalline materials, such as ceramics, crystalline polymers and composites including geological or even biological materials (see e.g. Bunge, 1997). Texture measurement is therefore necessary in order to understand the properties of polycrystalline materials of any kind.…”
Section: Introductionmentioning
confidence: 91%
“…This is particularly the case for materials used in industry, where optimal property values of the material must be guaranteed (see e.g. Bunge, 1985Bunge, , 2000.…”
Section: Introductionmentioning
confidence: 99%
“…For the sake of completeness, Figure 21 is also continued to the long-range side beyond the classical X-ray texture analysis. There is, on the first place, neutron diffraction texture analysis [44] which is used particularly for two purposes (within the context of the present paper). These are, on the one hand, the measurement of global textures with the highest possible statistical relevance in order to average out inhomogeneities.…”
Section: Reviewsmentioning
confidence: 99%