2011
DOI: 10.1007/s00216-011-4854-1
|View full text |Cite
|
Sign up to set email alerts
|

Ancient and historic steel in Japan, India and Europe, a non-invasive comparative study using thermal neutron diffraction

Abstract: The production and refinement of steel has followed very different paths in different parts of the Eurasian continent. In aiming to characterize the similarities and differences between various smelting and smithing methods, we have analysed steel samples from four different areas and historic periods: the Kotō Age in Japan (twelfth-sixteenth century), the Moghul Empire in India (seventeenth-nineteenth century), the Ottoman Turkish Empire (seventeenth century) and the late Middle Ages (fifteenth century) in It… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
18
0

Year Published

2012
2012
2016
2016

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 33 publications
(18 citation statements)
references
References 3 publications
0
18
0
Order By: Relevance
“…They have proved to be among the most Fig. 1 The Shamsheer mounted on a rigid frame effective methods for the noninvasive characterization of precious specimens of archaeometallurgical interest [7][8][9][10]. These techniques can provide useful microstructural properties of the constituent materials as well as a quantitative phase analysis of the investigated volume.…”
Section: Neutron Analysismentioning
confidence: 98%
See 1 more Smart Citation
“…They have proved to be among the most Fig. 1 The Shamsheer mounted on a rigid frame effective methods for the noninvasive characterization of precious specimens of archaeometallurgical interest [7][8][9][10]. These techniques can provide useful microstructural properties of the constituent materials as well as a quantitative phase analysis of the investigated volume.…”
Section: Neutron Analysismentioning
confidence: 98%
“…The analysis of the diffraction profile performed using one perturbative expansion in spherical harmonics is able to provide an index of the texture (J) which is a function of the level of orientation of the domains. The size of the domains is calculated using the Scherrer's law D = K S *DT/c 2 ; where c 2 is the Lorentian secondary broadening, K S is the Scherrer's constant and is 0.8 in the case of neutron diffractometers in ToF and DT is the conversion constant from ToF to its d-spacing of a specific detector on which measurement is made [8,9,11,15,16]. This relationship has an upper limit of validity which, in the case of the diffractometer INES, is equal to 200 nm.…”
Section: Inesmentioning
confidence: 99%
“…The ENGIN-X beamline has successfully been used to investigate strain, phase composition in various structures of historical [30][31][32]36] and archaeological [33][34][35] samples.…”
Section: Investigations Of Historical Samplesmentioning
confidence: 99%
“…The study focused on two Japanese long swords in order to determine the composition of the steel, the presence of phases related to the smelting (fayalite, wuestite, troilite) and the presence of oxides due to the mineralization (goethite, magnetite, hematite) [37][38]. The two swords investigated, pertain to two different traditions of the Koto Age: the Bizen (Kanesada school) and the Mino (Aoe school) of the Koto (Ancient sword) age [30][31]. The former developed as one of the two most ancient and was born in the southern part of Honshu Island while the latter developed in the Mino province.…”
Section: Investigation Of Japanese Swords Of the Koto Agementioning
confidence: 99%
“…Neutron diffraction (ND) [1,2] results determine the phase composition and microstructural properties of materials, neutron resonance capture analysis (NRCA) [3,4] provides the elemental composition and neutron radiography (NR) 7 Author to whom any correspondence should be addressed. 8 Present address: ENEA-Cenro Ricerche Frascati, Via E Fermi 45, 00044 Frascati, Rome, Italy. and neutron tomography (NT) [5,6] recognize internal features of the samples.…”
Section: Introductionmentioning
confidence: 99%