Szczegóły publikacji

Opis bibliograficzny

Bronze Jewellery from the Early Iron Age urn-field in Mała Kępa : an approach to casting technology / A. GARBACZ-KLEMPKA, Ł. Kowalski, J. Gackowski, M. PEREK-NOWAK // Archives of Foundry Engineering / Polish Academy of Sciences. Commission of Foundry Engineering ; ISSN 1897-3310. — Tytuł poprz.: Archiwum Odlewnictwa. — 2017 — vol. 17 iss. 3, s. 175–183. — Bibliogr. s. 182–183, Abstr. — Publikacja dostępna online od: 2017-09-29

Autorzy (4)

Słowa kluczowe

non destructive testingarchaeometallurgyinvestment castingLusatian cultureX-ray fluorescence spectroscopy

Dane bibliometryczne

ID BaDAP109452
Data dodania do BaDAP2017-10-25
Tekst źródłowyURL
DOI10.1515/afe-2017-0112
Rok publikacji2017
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaArchives of Foundry Engineering

Abstract

This study characterizes the bronze jewellery recovered from the Lusatian culture urn-field in Mała Kępa (Chełmno land, Poland). Among many common ornaments (e.g. necklaces, rings, pins) the ones giving evidence of a steppe-styled inspiration (nail earrings) were also identified. With the dendritic microstructures revealed, the nail earrings prove the implementing of a lost-wax casting method, whereas some of the castings were further subjected to metalworking. The elemental composition indicates the application of two main types of bronze alloys: Cu-Sn and Cu-Sn-Pb. It has been established that the Lusatian metalworkers were familiar with re-melting the scrap bronze and made themselves capable of roasting the sulphide-rich ores. The collection from Mała Kępa has been described in terms of its structure and composition. The investigations were made by means of the energy dispersive X-ray fluorescence spectroscopy (ED-XRF), scanning electron microscopy (SEM) coupled with an energy dispersive X - ray analysis system (EDS) and optical microscopy (OM). In order to fingerprint an alloy profile of the castings with a special emphasis on the nail earrings, the data-set (ED-XRF, EDS) was statistically evaluated using multidimensional analyses (FA, DA).

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