Integrated Generative Design Tools for the Mass Customization of Furniture

Barros, Mário; Duarte, José Pinto; Chaparro, Bruno M.

doi:10.1007/978-94-017-9112-0_16

Cited by 11 publications

(7 citation statements)

References 11 publications

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“…However, the integration of concept exploration and engineering information only available after detailed design (first addressed in [42]) began to attract interest. Using chair design, Barros et al [48] integrated conceptual design by SGs with detailed design by conversion to CAD model and structural testing using the Finite Element Method (FEM). The intention was to allow the interactive exploration and customization of designs according to both aesthetics and engineering criteria.…”

Section: The Development Of Generative Product Design Systemsmentioning

confidence: 99%

Progress and Challenges in Generative Product Design: A Review of Systems

Mountstephens

Teo

2020

Computers

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Design is a challenging task that is crucial to all product development. Advances in design computing may allow machines to move from a supporting role to generators of design content. Generative Design systems produce designs by algorithms and offer the potential for the exploration of vast design spaces, the fostering of creativity, the combination of objective and subjective requirements, and the revolutionary integration of conceptual and detailed design phases. The application of generative methods to the design of discrete, physical, engineered products has not yet been reviewed. This paper reviews the Generative Product Design systems developed since 1998 in order to identify significant approaches and trends. Systems are analyzed according to their primary goal, generative method, the design phase they focus on, whether the generation is automatic or interactive, the number of design options they generate, and the types of design requirements involved in the generation process. Progress using this approach is recognized, and a number of challenges that must be addressed in order to achieve widespread acceptance are identified. Possible solutions are offered, including innovative approaches in Human–Computer Interaction.

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Section: The Development Of Generative Product Design Systemsmentioning

confidence: 99%

Progress and Challenges in Generative Product Design: A Review of Systems

Mountstephens

Teo

2020

Computers

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“…A design sampling technique was introduced by Gunpinar and Gunpinar [9] via particle tracing to create parametric space-filling designs. Hornby [10] and Barros et al [11] utilized generative design techniques for furniture design. Khan et al [12] suggested a spatial simulated annealing based generative design technique for creating customer-centered products.…”

Section: Generative Designmentioning

confidence: 99%

Evolving a Psycho-Physical Distance Metric for Generative Design Exploration of Diverse Shapes

Khan

Günpinar

Moriguchi

et al. 2019

Journal of Mechanical Design

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In this paper, a generative design approach is proposed that involves the users’ psychological aspect in the design space exploration stage to create distinct design alternatives. Users’ perceptual judgment about designs is extracted as a psycho-physical distance metric, which is then integrated into the design exploration step to generate design alternatives for the parametric computer-aided design (CAD) shapes. To do this, a CAD model is first parametrized by defining geometric parameters and determining ranges of these parameters. Initial design alternatives for the CAD model are generated using Euclidean distance-based sampling teaching–learning-based optimization (S-TLBO), which is recently proposed and can sample N space-filling design alternatives in the design space. Similar designs are then clustered, and a user study is conducted to capture the subjects’ perceptual response for the dissimilarities between the cluster pairs. In addition, a furthest-point-sorting technique is introduced to equalize the number of designs in the clusters, which are being compared by the subjects in the user study. Afterward, nonlinear regression analyses are carried out to construct a mathematical correlation between the subjects’ perceptual response and geometric parameters in the form of a psycho-physical distance metric. Finally, a psycho-physical distance metric obtained is utilized to explore distinct design alternatives for the CAD model. Another user study is designed to compare the diversification between the designs when the Euclidean and the suggested psycho-physical distance metrics are utilized. According to the user study, designs generated with the latter metric are more distinct.

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“…Besides, some researchers have used computer-aided and finite element multifunctional analysis to design chairs and analyze their structures to assess the strength of furniture [17][18] effectively. Other researchers applied shape syntax and parametric methods for chair design to enhance the efficiency of mass customization of chairs [19]. With the rapid development of artificial intelligence, researchers also learned to use convolutional neural networks and generative adversarial networks to assist chair design improving design efficiency [20][21].…”

Section: Introductionmentioning

confidence: 99%

Study on Imagery Modeling of Solid Wood Chairs in Big Data

Xu¹,

Younghwan²

2023

Preprint

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With the continuous improvement of people's quality of life and aesthetics, furniture products have higher requirements. Excellent solid wood chairs are the most representative products in furniture to enhance space and taste and whose design may significantly impact consumers' emo-tional experience and purchase decisions. This study aims to evaluate how the modeling imagery of solid wood chairs affects user preferences and emotional experiences. The development of the current era is inseparable from the analysis of big data. Firstly, a representative sample was ob-tained by multidimensional scaling (MDS), and the sample was analyzed and evaluated by fac-tor analysis. Moreover, five groups of adjective vocabulary were selected to describe the model-ing imagery of solid wood chairs, such as "balanced and coordinated", "unique and novel", "prac-tical and simple", "quality and detailed" and "traditional and plain". Further, the triangular fuzzy theory was applied to analyze and discuss the 12 types of solid wood chairs in the five groups of adjective vocabulary. Then the study verified that the differences in the evaluations of the 12 sam-ples in the "unique and novel" and "quality and detailed" groups were significant, but more minor differences in the groups of "traditional and plain", "balanced and coordinated" and "practical and simple". Through comprehensive comparison, five groups with similar modeling imagery were created, and solid wood chairs with different modeling imagery should be placed in suita-ble spaces. According to the results of this study, the evaluation of the modeling imagery of solid wood chairs can not only rely on subjective judgments but can be reasonably described through data analysis and mathematical algorithms. It can scientifically and effectively reflect the poten-tial perception needs of consumers on the modeling imagery of solid wood chairs, as well as help to improve the design efficiency of the furniture product development stage.

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Integrated Generative Design Tools for the Mass Customization of Furniture

Cited by 11 publications

References 11 publications

Progress and Challenges in Generative Product Design: A Review of Systems

Progress and Challenges in Generative Product Design: A Review of Systems

Evolving a Psycho-Physical Distance Metric for Generative Design Exploration of Diverse Shapes

Study on Imagery Modeling of Solid Wood Chairs in Big Data

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