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CAD-Based Research on the Design of a Standard Unit Cabinet for Custom Furniture of the Cabinet Type

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Data Science (ICPCSEE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1879))

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Abstract

Mass customization (MC) cabinet furniture has rapidly developed into the mainstream mode of furniture manufacturing in the information age with customized products and services, mass production mode and complete and unified space joint form through the design system of “standard unit cabinet + nonstandardized customized cabinet”. Based on this, taking the design of a standard unit cabinet as the center, the modular design method is used to study the design of functional modules in a standard unit cabinet based on a CAD drawing form. In this paper, the relationship between the function and structure of a standard unit cabinet is analysed according to the principles of serialization, generalization and combination in the standardized design principles of a custom wardrobe, combined with the modular design method. Finally, the functional and structural design of two standardized series of wardrobes from the Korean furniture brand “Hanssen” is studied in terms of functional and structural dimensions. Conclusion: MC wardrobe can be designed using a combination of configurations of functional modules to achieve a standardized design that reduces the internal diversity of the product and increases the external diversity of the product. In addition, functional modules and structural design have an adaptive relationship in the design of a standard unit cabinet for a custom wardrobe. It is hoped that this study can have some reference value for the practice of MC furniture and the development of functional modules for custom wardrobes.

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Correspondence to Guo Lan .

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Lan, G., Weiquan, F. (2023). CAD-Based Research on the Design of a Standard Unit Cabinet for Custom Furniture of the Cabinet Type. In: Yu, Z., et al. Data Science. ICPCSEE 2023. Communications in Computer and Information Science, vol 1879. Springer, Singapore. https://doi.org/10.1007/978-981-99-5968-6_3

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  • DOI: https://doi.org/10.1007/978-981-99-5968-6_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-5967-9

  • Online ISBN: 978-981-99-5968-6

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