Preserving Ceramic Industrial Heritage Through Digital Technologies

K. Rodriguez-Echavarria, T. Weyrich, Neil Brownsword
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Abstract

Abstract World-renowned for its perfection of Bone China and underglaze blue printing techniques, the historic Spode Works in Stoke- on-Trent was one of the few ceramic factories in Britain to have operated continuously on its original site until the company ceased trading in 2008. Since then the site has undergone many transitions with much of its former production infrastructure being discarded. Currently the site holds an estimated 70,000 moulds once used in ceramic production dating from the mid 19th century to 2008, which remain as critical elements of British industrial history at risk of disappearing. This paper presents on-going research which explores the application of 3D technologies to create digital surrogates to support the preservation of these Cultural Heritage artefacts, and ways through which their form and context can be explored to creatively disseminate the associated histories of their production. Given the complex nature of ceramic manufacturing as well as the large-scale of the problem, this is not an easy challenge. Hence, the research investigates workflows and technologies which can support creating a digital, and potentially physical, archive with a selection of mould typologies, shapes and complexities. To further understand the complexities of industrial craft practices, the resultant dataset also aims to elucidate material and craft knowledge embodied within such objects. For this, the research looks into novel manufacturing processes, such as 3D printing, to re-invent the physical shapes documented in these moulds in new interpretations of this historic legacy.
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利用数字技术保护陶瓷工业遗产
历史悠久的斯波德陶瓷工厂位于特伦特河畔斯托克,以其精湛的骨瓷和釉下蓝印花技术而闻名于世,是英国为数不多的在原址上持续运营的陶瓷工厂之一,直到2008年公司停止营业。从那时起,该站点经历了许多转变,许多以前的生产基础设施被丢弃。目前,该遗址保存着大约7万个19世纪中期至2008年期间曾用于陶瓷生产的模具,这些模具仍然是英国工业历史上面临消失危险的重要因素。本文介绍了正在进行的研究,探索应用3D技术创建数字替代品,以支持这些文化遗产文物的保护,以及探索其形式和背景的方法,以创造性地传播其生产的相关历史。考虑到陶瓷制造的复杂性以及问题的规模,这不是一个容易的挑战。因此,该研究调查了工作流和技术,这些工作流和技术可以支持创建具有模具类型、形状和复杂性选择的数字和潜在物理存档。为了进一步了解工业工艺实践的复杂性,生成的数据集还旨在阐明这些对象中包含的材料和工艺知识。为此,该研究着眼于新的制造工艺,如3D打印,重新发明这些模具中记录的物理形状,以对这一历史遗产进行新的解释。
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