Domestic Ceramic Production and Spatial Organization

En este estudio sobre la organización espacial de la producción cerámica en Pénjamo y Abasolo (Guanajuato) se identifican los implementos básicos asociados a una tecnología de manufactura en moldes. Además, se documenta cómo los alfareros seleccionan y utilizan las materias primas en la producción de ollas para contener agua. A partir de un análisis mineralógico de los materiales se discute cómo el comportamiento del alfarero afecta la composición final de las ollas. Además, los resultados petrográficos son comparados con la composición de tiestos de ollas provenientes del sitio arqueológico Barajas, fechados en el periodo epiclásico. Finalmente se presentan algunas implicaciones arqueológicas derivadas del estudio de la producción actual.Abstract: The study of the spatial organization of ceramic production at Penjamo and Abasolo (Guanajuato) identifies the basic implements related with a mold manufacture technology. It documents how potters select and use raw materials in the production of water jars. Mineralogical analysis are used to discuss how the potter behavior affects the final composition of the ceramic jars. Also the petrographic results are compared with the composition of sherds collected from Barajas archaeological site, all dated to the Epiclasic period. Finally it presents some archaeological implications derived from the study of the actual ceramic production.Résumé : Dans cette étude de l’organisation spatiale de la production céramique à Pénjamo et à Abasolo (Guanajuato), nous présentons les outils de base associés à une technologie de manufacture au moule. Nous expliquons également comment les potiers choisissent et utilisent les matières premières afin de produire des jarres destinée à contenir de l’eau. Une analyse minéralogique des matériaux donne lieu à un débat concernant les effets qu’entraîne le comportement de l’artisan sur la composition finale des jarres. Les résultats de l’analyse pétrographique sont comparés à la composition des tessons de jarres provenant du site archéologique épiclassique de Barajas. Enfin, sont présentées quelques implications archéologiques découlant de l’étude de la production actuelle.

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Analysis of energy saving in domestic ceramic industry kilns

E3S Web of Conferences ◽

10.1051/e3sconf/202126701011 ◽

2021 ◽

Vol 267 ◽

pp. 01011

Author(s):

Wen Yin ◽

Kaifang Wang

Keyword(s):

Energy Saving ◽

Tunnel Kiln ◽

Construction Materials ◽

Ceramic Production ◽

Roller Kiln ◽

Combustion Technology ◽

Transport Vehicle ◽

Automation Control ◽

Insulation Performance ◽

Domestic Ceramic

Ceramic industrial kiln refers to the combustion equipment for ceramic production, which generally refers to roller kiln, shuttle tunnel kiln and shuttle kiln. Roller kiln refers to the kiln with continuous firing and rotating roller as the vehicle of the billet body; Tunnel kiln refers to the kiln which adopts continuous firing and takes rail kiln car as the transport vehicle of billet body. Shuttle kiln refers to the kiln which is fired intermittently and consists of kiln car, kiln chamber and kiln door. Factors influencing energy saving of kiln include construction materials, kiln structure, combustion technology, thermal insulation performance and automation control.

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Spatial organization and ceramic production

Domestic Ceramic Production and Spatial Organization ◽

10.1017/cbo9780511598395.006 ◽

1991 ◽

pp. 99-119

Keyword(s):

Spatial Organization ◽

Ceramic Production

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Computational Micrograph Registration with Sieve Processes

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100164660 ◽

1996 ◽

Vol 54 ◽

pp. 440-441

Author(s):

P.J. Phillips ◽

J. Huang ◽

S. M. Dunn

Keyword(s):

Planar Graph ◽

Efficient Algorithm ◽

Spatial Organization ◽

Spatial Arrangement ◽

Stereo Image ◽

Image Model ◽

Geometric Invariants ◽

Point Set

In this paper we present an efficient algorithm for automatically finding the correspondence between pairs of stereo micrographs, the key step in forming a stereo image. The computation burden in this problem is solving for the optimal mapping and transformation between the two micrographs. In this paper, we present a sieve algorithm for efficiently estimating the transformation and correspondence.In a sieve algorithm, a sequence of stages gradually reduce the number of transformations and correspondences that need to be examined, i.e., the analogy of sieving through the set of mappings with gradually finer meshes until the answer is found. The set of sieves is derived from an image model, here a planar graph that encodes the spatial organization of the features. In the sieve algorithm, the graph represents the spatial arrangement of objects in the image. The algorithm for finding the correspondence restricts its attention to the graph, with the correspondence being found by a combination of graph matchings, point set matching and geometric invariants.

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