A Grammar-Based Model for the Mass Customisation of Chairs: Modelling the Optimisation Part

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

doi:10.1007/s00004-015-0265-5

Cited by 8 publications

(9 citation statements)

References 29 publications

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“…Duarte (2001) focused on the customization of housing and tested the grammar implementation with potential clients. Barros, Duarte and Chaparro (2015) designed an integrated automated process, from idea to manufacturing, for the customization of Thonet chairs. Castro e Costa and Duarte (2014) created an SG-based system for the customization of ceramic tableware that is flexible enough to adapt to both designers and end-users.…”

Section: Sgs As Toolsmentioning

confidence: 99%

“…However, the resulting tool is non-parametric. Barros, Duarte and Chaparro (2015) also developed an SG for chairs, where selected designs were implemented as parametric chair models, each one with a fixed topology, which could then be used for structural optimization. Nevertheless, the work is focused on a very specific kind of chair, namely, Thonet chairs.…”

Section: The Chairdna Toolmentioning

confidence: 99%

“…SGs also address different design tasks, such as, the generation of original designs, the generation of new designs within a style or a brand (Pugliese & Cagan, 2002), the generation of product families (Castro e Costa & Duarte, 2014), and the transformation of existing designs (Eloy & Duarte, 2012). They are also useful for providing guidelines and constraints to the generation process (Duarte, 2001), and for evaluation and optimization tasks (Barros, Duarte & Chaparro, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Shape grammars as design tools: an implementation of a multipurpose chair grammar

Garcia

Leitão

2018

AIEDAM

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This paper presents a multipurpose chair grammar and its implementation in the design tool ChairDNA. This tool is oriented for the exploration of design alternatives in the early concept phase of the chair design process. This work addresses two shortcomings within the research area of shape grammars (SGs), namely, the lack of implementation of SGs applied to design domains, and the lack of practical applications in real-life design scenarios. To address these problems, a methodology is proposed for the implementation of a SG (more specifically, a set grammar) into a tool, comprising the translation of the grammar into user-interface elements oriented for design practitioners. By using the proposed tool, the user can add/delete chair components and edit shape parameters, while visualizing the effects on a three-dimensional digital model presented in a variety of CAD applications. Compared with other SG implementations, ChairDNA uses an approach that keeps under control the combinatorial explosion of rule applications, which simplifies the use of the tool by designers that do not have experience in SGs. The generative potential of the tool is demonstrated by generating chairs of different types, and its usability and utility in aiding the designer are evaluated by design students and design practitioners.

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Section: Sgs As Toolsmentioning

confidence: 99%

Section: The Chairdna Toolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Shape grammars as design tools: an implementation of a multipurpose chair grammar

Garcia

Leitão

2018

AIEDAM

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“…There are only a few works in which shape grammars were linked to FEA. In addition to the work described, Barros et al (2015) generated Thonet chair topologies for the back of the chair using a 2D parametric shape grammar. These topologies were then translated into a parametric CAD model already integrated within a FEA model and simulation.…”

Section: Introductionmentioning

confidence: 99%

“…These works show that the research focus lies mainly on the combination of shape grammars and stochastic optimization, and much less on the automated integration with FEA. Further, even though FEA is performed in the work of, for example, Barros et al (2015), it limits the design generation since the underlying FEA model is still parametrized. Hence, the present paper contributes by addressing the challenges in linking generated designs to FEA automatically, and thus by generalizing the applicability of such CDS approaches in combination with stochastic optimization that integrates engineering performance evaluated through simulation.…”

Section: Introductionmentioning

confidence: 99%

A 3D, performance-driven generative design framework: automating the link from a 3D spatial grammar interpreter to structural finite element analysis and stochastic optimization

Zimmermann¹,

Chen²,

Shea³

2018

AIEDAM

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Since the introduction of spatial grammars 45 years ago, numerous grammars have been developed in a variety of fields from architecture to engineering design. Their benefits for solution space exploration when computationally implemented and combined with optimization have been demonstrated. However, there has been limited adoption of spatial grammars in engineering applications for various reasons. One main reason is the missing, automated, generalized link between the designs generated by the spatial grammar and their evaluation through finite-element analysis (FEA). However, the combination of spatial grammars with optimization and simulation has the advantage over continuous structural topology optimization in that explicit constraints, for example, modeling style and fabrication processes, can be included in the spatial grammar. This paper discusses the challenges in providing a generalized approach by demonstrating the implementation of a framework that combines a three-dimensional spatial grammar interpreter with automated FEA and stochastic optimization using simulated annealing (SA). Guidelines are provided for users to design spatial grammars in conjunction with FEA and integrate automatic application of boundary conditions. A simulated annealing method for use with spatial grammars is also presented including a new method to select rules through a neighborhood definition. To demonstrate the benefits of the framework, it is applied to the automated design and optimization of spokes for inline skate wheels. This example highlights the advantage of spatial grammars for modeling style and additive manufacturing (AM) constraints within the generative system combined with FEA and optimization to carry out topology and shape optimization. The results verify that the framework can generate structurally optimized designs within the style and AM constraints defined in the spatial grammar, and produce a set of topologically diverse, yet valid design solutions.

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Combining ARIZ with Shape Grammars to Support Designers

Ang

Cher

et al. 2019

Advances in Visual Informatics

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A Grammar-Based Model for the Mass Customisation of Chairs: Modelling the Optimisation Part

Cited by 8 publications

References 29 publications

Shape grammars as design tools: an implementation of a multipurpose chair grammar

Shape grammars as design tools: an implementation of a multipurpose chair grammar

A 3D, performance-driven generative design framework: automating the link from a 3D spatial grammar interpreter to structural finite element analysis and stochastic optimization

Combining ARIZ with Shape Grammars to Support Designers

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