Drvna industrija, Vol. 67 No. 4, 2016.
Original scientific paper
https://doi.org/10.5552/drind.2016.1622
Design Methodology of New Furniture Joints
Marcin Podskarbi
; Poznan University of Life Sciences, Faculty of Wood Technology, Department of Furniture Design, Poznan, Poland
Jerzy Smardzewski
; Poznan University of Life Sciences, Faculty of Wood Technology, Department of Furniture Design, Poznan, Poland
Krzysztof Moliński
; Poznan University of Life Sciences, Faculty of Agriculture and Bioengineering, Department of Mathematical and Statistical Methods, Poznan, Poland
Marta Molińska-Glura
; Poznan University of Medical Sciences, Department of Computer Science and Statistics, Poznan, Poland
Abstract
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.
Keywords
furniture; joints; design; brief; cluster analysis
Hrčak ID:
172566
URI
Publication date:
11.1.2017.
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