A method of constructing an inspiration library driven by user-perceived preference evaluation data for biologically inspired design

Hou, Xinggang; Mei, Yang; Zhang, Lin; Guo, Haoyue; Wang, Luyao; Li, Xinying

doi:10.1016/j.aei.2022.101617

Cited by 17 publications

(1 citation statement)

References 34 publications

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“…Ceramic product form bionic design entails the emulation of nature's characteristics through the processes of imitation, extraction, and transformation, employing morphological bionic design concepts and methods as the foundation for initial ceramic product modelling (Luo, S., Zhang, Y., Zhang, J., et al, 2020; Li, X., Hou, X., Yang, M., et al, 2022) [1,2]. Within the realm of ceramic product form bionic design activities, designers engage in more than a straightforward imitation and extraction of natural world models; they are involved in an artistic creation process.…”

Section: Research Methods Of Ceramic Product Morpho-bionic Designmentioning

confidence: 99%

Research on Morpho-Bionic Design Based on Ceramic Products

Song,

Md Ishak,

Shaari

et al. 2024

Proceedings of the International Conference on Industrial Design and Environmental Engineering, IDEE 2023, November 24–26, 2023

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China's rapid economic development and cultural prosperity have elevated people's expectations for an improved quality of life, consequently raising the demand for high-quality household ceramic products. Incorporating morphological bionic design into ceramic product design emerges as a promising avenue to enhance both the quality and artistic expression of such products. This study systematically examines the methods of morphological bionic design in ceramics, presenting innovative approaches to induce creativity and exploring effective practices in ceramic product innovation and design. The comprehensive exploration aims to provide a thorough understanding of ceramic product morphology bionic design practices, contributing to both theoretical development and practical significance.

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Section: Research Methods Of Ceramic Product Morpho-bionic Designmentioning

confidence: 99%

Research on Morpho-Bionic Design Based on Ceramic Products

Song,

Md Ishak,

Shaari

et al. 2024

Proceedings of the International Conference on Industrial Design and Environmental Engineering, IDEE 2023, November 24–26, 2023

View full text Add to dashboard Cite

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Bionic Design Model for Co-creative Product Innovation Based on Deep Generative and BID

Deng

Liu

et al. 2023

Int J Comput Intell Syst

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Bio-inspired design (BID) is an abstract process, if we can visualize the process of fusing abstract biological inspiration with figurative product shapes, and combine it with artificial intelligence technology to express the designer’s creativity, it will greatly improve the efficiency and accuracy of product shape bionic design. To address this problem, we combine BID with deep generative (DG) model to build a co-creative deep generative bio-inspired design (DGBID) model. Firstly, the designers used perceptual engineering and eye-movement experiments to select the bionic creature that best fits the bionic product and the suitable bionic product and bionic image, respectively. Then, the images are embedded into the potential space of StyleGAN, and the potential relationship between the two is visualized using StyleGAN’s image morphing technique, which generates a new bionic fusion scheme. Finally, the contour lines of the solution are extracted as a reference, the designer is involved in the optimization of the scheme as a sketch, and the hand-drawn sketch is transformed into a real product solution using style migration techniques. The entire bionic design experiment process is a co-creative approach with artificial intelligence technology as the lead and designer participation. The feasibility of the method is verified using the side view of a car as a bionic product. The results show that the integration of bionic technology with deep generative model technology can accelerate the innovation and development of bionic products and provide designers with design references and rapid-generation tools.

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BERT and Pareto dominance applied to biological strategy decision for bio-inspired design

Sun

Meng

et al. 2023

Advanced Engineering Informatics

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A method of constructing an inspiration library driven by user-perceived preference evaluation data for biologically inspired design

Cited by 17 publications

References 34 publications

Research on Morpho-Bionic Design Based on Ceramic Products

Research on Morpho-Bionic Design Based on Ceramic Products

Bionic Design Model for Co-creative Product Innovation Based on Deep Generative and BID

BERT and Pareto dominance applied to biological strategy decision for bio-inspired design

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