The Discovery and Preliminary Analysis of an Ancient Kiln Site near Cao Village in Linzhang Town of Hebei Province

Article Preview

Abstract:

In order to find out the kiln of some articles unearthed at Fancui tomb of Northern Dynasty, we use the article samples to track to a kiln site near Cao village, Linzhang town, Hebei province. By compare and contrast of Cao village kiln samples with Northern Dynasty tomb articles, we conclude that Cao village kiln are of Northern Dynasty. We measure the physical properties and the chemical composition of the samples using energy dispersive X-ray fluorescence (EDXRF), and identify the samples are of lead glaze pottery, Fuzzy cluster analysis of the samples shows that Cao village kiln body samples raw materials come from 3~4 batches, while the glaze samples raw material come from 3 batches. It also shows that the body raw materials and the glaze raw materials of the sample supporting pins are the same as those of Cao Village kiln.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 415-417)

Pages:

1190-1195

Citation:

Online since:

December 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] The museum in Henan province, Excavate Brief report of Fancui Tomb of Northern-Qi Dynasty in Anyang Henan Province, Cultural Relic, No.1 (1972)(In Chinese).

Google Scholar

[2] Zongzhen Luo, Archaeology of Wei, Jin, and Southern and Northern Dynasties, (Cultural Relics Press, China 2001). In Chinese.

Google Scholar

[3] A.E. Pillay,L. Jacobson,J .Eriksen,C. Punyadeera: X-Ray Spectrometry Vol.29, No.1 (2000), p.53.

Google Scholar

[4] Guoxia Li, Weijuan Zhao, Rongwu Li, et al., Sci. in China, Vol. 49, No.4 (2006), p.411.

Google Scholar

[5] H Chen, The Application of Fuzzy Mathematics in National Economy, ( Huazhong University of Science & Technology Press, China 1994). In Chinese.

Google Scholar

[6] B. S. Everitt, S. Landau and M. Lecse, Cluster Analysis 4th ed. (London: Edward Arnold) (2001)

Google Scholar