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Design de superfície e complexidade: investigação do design de padrões generativos e o uso de algoritmos computacionais

Authors: Boratto, Mariana Araujo Laranjeira;

Design de superfície e complexidade: investigação do design de padrões generativos e o uso de algoritmos computacionais

Abstract

A complexidade é uma propriedade com reconhecimento emergente dentro das ciências, e sua presença está cada vez mais valorizada no desenvolvimento de projetos interdisciplinares. Tratando de lidar com princípios evolutivos e as regras de organização dos sistemas complexos, a complexidade traz conceitos que podem aportar inovações para a área do design e dos métodos de composição de formas e geometrias. Nesse cenário, o design de superfícies é uma especialidade que pode se beneficiar desses novos métodos, principalmente com o avanço das tecnologias digitais e o uso de algoritmos computacionais. Buscando entender a importância da complexidade para o design de superfícies complexas, este trabalho investiga a relação da programação de dados com as metodologias de design envolvidas. Por meio de um estudo de caso, foram pesquisados os projetos que envolvessem os princípios do desenvolvimento de padrões aplicados à área têxtil, estabelecendo a conexão de superfícies bidimensionais e tridimensionais com os sistemas complexos e a utilização de softwares de programação algorítmica, como o Processing e o Grasshopper. Foram realizadas também experimentações que reproduzissem alguns algoritmos de padronagem. Deste modo, o projeto abrange novos caminhos para a concepção do design de superfícies e busca estabelecer parâmetros para o uso de novos processos digitais.

Complexity is a property with emerging recognition within the sciences, and its presence is increasingly valued in the development of interdisciplinary projects. Trying to deal with evolutionary principles and the rules of organization of complex systems, complexity theory carry concepts that can bring innovations to the area of design with methods of composition of shapes and geometries. In this scenario, surface design is a specialty that can benefit from these new processes, especially with the advancement of digital technologies and the use of computational algorithms. Seeking to understand the importance of complexity for the design of complex surfaces, this work investigates the relationship of data programming with the design methodologies involved. Through a case study, were analyzed projects involving the development of textile design with pattern principles, establishing the connection of two-dimensional and three-dimensional surfaces with complex systems and the use of algorithmic programming software, such as Processing and the Grasshopper. As a consequence of the research, were also performed experiments that reproduced some algorithms for pattern design. In this way, the project covers new ways of improving surface design and establishes parameters for the use of new digital processes.

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Pós-graduação em Design - FAAC

2017/07647-0

Country
Brazil
Keywords

Design de superfície, Complexidade, Design, Algoritmos, Surface design, Textile, Textiles, Complexity, Pattern design, algorithms, Padronagens

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green