Furniture collapsible design optimization using spatial geometric analysis
In this paper, the function, style, and material of foldable furniture are designed, and the process of selecting, generating, and deforming the blocks is combined with parametric techniques to model the foldable furniture blocks. To generate shrinkable unfolded furniture, the objective function of...
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| Veröffentlicht in: | Applied mathematics and nonlinear sciences Jg. 9; H. 1 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Beirut
Sciendo
01.01.2024
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
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| ISSN: | 2444-8656, 2444-8656 |
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| Abstract | In this paper, the function, style, and material of foldable furniture are designed, and the process of selecting, generating, and deforming the blocks is combined with parametric techniques to model the foldable furniture blocks. To generate shrinkable unfolded furniture, the objective function of the foldable furniture is optimized, combined with the optimization algorithm of Voronoi polygon and surface parameterization, and the spatial geometry results of the foldable furniture are optimized using spatial geometry. After analyzing the optimized foldable furniture, it was concluded that the overall mechanical strength index was greater than 0.76, and the optimized weight, fluidity, operational complexity, material, degree of structural wear, and node stability were all significant factors exceeding 0.7. |
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| AbstractList | In this paper, the function, style, and material of foldable furniture are designed, and the process of selecting, generating, and deforming the blocks is combined with parametric techniques to model the foldable furniture blocks. To generate shrinkable unfolded furniture, the objective function of the foldable furniture is optimized, combined with the optimization algorithm of Voronoi polygon and surface parameterization, and the spatial geometry results of the foldable furniture are optimized using spatial geometry. After analyzing the optimized foldable furniture, it was concluded that the overall mechanical strength index was greater than 0.76, and the optimized weight, fluidity, operational complexity, material, degree of structural wear, and node stability were all significant factors exceeding 0.7. |
| Author | Qiu, Qi Dong, Manman |
| Author_xml | – sequence: 1 givenname: Qi surname: Qiu fullname: Qiu, Qi organization: A.N. Kosygin Russian State University (Technologies, Design, Art), Moscow, 119071, Russia – sequence: 2 givenname: Manman surname: Dong fullname: Dong, Manman email: qiuqi2765@gmail.com organization: Xuanhua Vocational College of Science and Technology, Xuanhua, Zhangjiakou, Hebei, 075000, China |
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| Cites_doi | 10.1016/j.jmsy.2021.02.003 10.1162/desi_a_00688 10.5552/drind.2016.1622 10.1139/cjce-2020-0306 10.4236/eng.2020.1211059 10.1155/2022/4992547 10.1016/j.actaastro.2017.01.029 10.3390/su11246898 10.1145/3054740 10.1051/matecconf/201710403008 10.1016/j.jclepro.2020.121957 10.1016/j.rser.2016.11.145 |
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| SubjectTerms | 65D17 Building block modeling Collapsible furniture Parametric techniques Spatial geometry Voronoi polygons |
| Title | Furniture collapsible design optimization using spatial geometric analysis |
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