Design Methodology of New Furniture Joints

Techniques for self-assembly and disassembly of furniture are predominant mainly in the group of cabinet furniture. The lack of new constructions of furniture joints affects the market development of skeletal furniture intended for self-assembly. These connections should have the following character...

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Autores principales:	Marcin Podskarbi, Jerzy Smardzewski, Krzysztof Moliński, Marta Molińska-Glura
Formato:	article
Lenguaje:	EN
Publicado:	University of Zagreb, Faculty of Forestry and Wood Technology 2017
Materias:	furniture joints design brief cluster analysis Forestry SD1-669.5
Acceso en línea:	https://doaj.org/article/d95fb07177254c42bde9dd06bbe33a96
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spelling	oai:doaj.org-article:d95fb07177254c42bde9dd06bbe33a962021-12-02T04:54:26ZDesign Methodology of New Furniture Joints10.5552/drind.2016.16220012-67721847-1153https://doaj.org/article/d95fb07177254c42bde9dd06bbe33a962017-01-01T00:00:00Zhttp://hrcak.srce.hr/file/254616https://doaj.org/toc/0012-6772https://doaj.org/toc/1847-1153Techniques for self-assembly and disassembly of furniture are predominant mainly in the group of cabinet furniture. The lack of new constructions of furniture joints affects the market development of skeletal furniture intended for self-assembly. These connections should have the following characteristics: be easy to assemble and disassemble, have a minimum number of components, meet aesthetic requirements and be externally invisible. The aim of the study was to develop a methodology for formulating the assumptions for designing a new connection of skeletal furniture. At the outset, the distinguished joint features were presented. Then, assessment criteria were formulated for each feature, with adequate numerical values. On this basis, specific joints and fittings for skeletal furniture were collected and divided into 84 groups. The prepared numerical values were used as the data for statistical analysis. In the first step of the analysis, relationships were characterized between the studied features using the Spearmans rank correlation. On the basis of statistical analysis, the correctness of the obtained classifi cation was confirmed. Based on the analysis of the characteristics of the cluster and Spearmans correlation coefficient values, there was no reason to highlight any qualities as a component of project assumptions. Cluster analysis pointed to differences between groups, as well as groups having similar features. Against this background, a clear design assumption was built.Marcin PodskarbiJerzy SmardzewskiKrzysztof MolińskiMarta Molińska-GluraUniversity of Zagreb, Faculty of Forestry and Wood Technologyarticlefurniturejointsdesignbriefcluster analysisForestrySD1-669.5ENDrvna Industrija, Vol 67, Iss 4, Pp 371-380 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	furniture joints design brief cluster analysis Forestry SD1-669.5
spellingShingle	furniture joints design brief cluster analysis Forestry SD1-669.5 Marcin Podskarbi Jerzy Smardzewski Krzysztof Moliński Marta Molińska-Glura Design Methodology of New Furniture Joints
description	Techniques for self-assembly and disassembly of furniture are predominant mainly in the group of cabinet furniture. The lack of new constructions of furniture joints affects the market development of skeletal furniture intended for self-assembly. These connections should have the following characteristics: be easy to assemble and disassemble, have a minimum number of components, meet aesthetic requirements and be externally invisible. The aim of the study was to develop a methodology for formulating the assumptions for designing a new connection of skeletal furniture. At the outset, the distinguished joint features were presented. Then, assessment criteria were formulated for each feature, with adequate numerical values. On this basis, specific joints and fittings for skeletal furniture were collected and divided into 84 groups. The prepared numerical values were used as the data for statistical analysis. In the first step of the analysis, relationships were characterized between the studied features using the Spearmans rank correlation. On the basis of statistical analysis, the correctness of the obtained classifi cation was confirmed. Based on the analysis of the characteristics of the cluster and Spearmans correlation coefficient values, there was no reason to highlight any qualities as a component of project assumptions. Cluster analysis pointed to differences between groups, as well as groups having similar features. Against this background, a clear design assumption was built.
format	article
author	Marcin Podskarbi Jerzy Smardzewski Krzysztof Moliński Marta Molińska-Glura
author_facet	Marcin Podskarbi Jerzy Smardzewski Krzysztof Moliński Marta Molińska-Glura
author_sort	Marcin Podskarbi
title	Design Methodology of New Furniture Joints
title_short	Design Methodology of New Furniture Joints
title_full	Design Methodology of New Furniture Joints
title_fullStr	Design Methodology of New Furniture Joints
title_full_unstemmed	Design Methodology of New Furniture Joints
title_sort	design methodology of new furniture joints
publisher	University of Zagreb, Faculty of Forestry and Wood Technology
publishDate	2017
url	https://doaj.org/article/d95fb07177254c42bde9dd06bbe33a96
work_keys_str_mv	AT marcinpodskarbi designmethodologyofnewfurniturejoints AT jerzysmardzewski designmethodologyofnewfurniturejoints AT krzysztofmolinski designmethodologyofnewfurniturejoints AT martamolinskaglura designmethodologyofnewfurniturejoints
_version_	1718401039049162752

Design Methodology of New Furniture Joints

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