Yang Pu and Ding Wen Nic Bao의 Digital Taihu 3D 프린팅 가구

디자이너 Yang Pu and Ding Wen Nic Bao의 작품 Digital Taihu 3D 프린팅 가구은(는) 매우 권위 있는 2023 A' Design Award 철상의 3D 프린팅 형태 및 제품 디자인 부문에서 탁월한 수상작입니다.

철3D 프린팅· 2023

Digital Taihu 3D 프린팅 가구

디자이너: Yang Pu and Ding Wen Nic Bao

클라이언트: Nanjing University of the Arts and RMIT University

3D 프린팅 부문 A' Design Award 철상 수상작

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Digital Taihu 3D 프린팅 가구 소개

디지털 타이후는 3D 프린팅 기술을 활용하여 디지털 시대에 중국 전통 문화의 적용을 활성화하며, 타이후석과 양방향 진화적 구조 최적화 알고리즘을 결합하여 자연 시스템으로부터 디자인 생성 방법을 탐구하고, 최적화된 구조를 가진 디지털 지속가능 디자인을 구현합니다.

수상 인정

A' Design Award 철상 소개

Digital Taihu 3D 프린팅 가구, 이 작품은 A' Design Award 철상 수상작으로, 잘 디자인된 창작물에 기대되는 전문적·산업적 요건을 충족하는 좋은 디자인에 수여되는 권위 있는 인정입니다. 철상 수상작은 창작자의 뛰어난 기술, 높은 전문성, 전문가다운 이해, 창의적 역량을 보여 줍니다. Digital Taihu 3D 프린팅 가구, 이 작품은 높이 평가받고 감탄과 사랑을 받는 창작물로서 실용적이고 혁신적일 것으로 기대됩니다. 이 철상 수상 디자인은 업계 모범 사례를 통합하며 노하우와 재능으로 연결된 유능한 기술적 특성을 갖추고 있습니다. Digital Taihu 3D 프린팅 가구, 이 작품은 철저함으로 존중받으며 삶의 질을 개선하여 세상을 더 나은 곳으로 만들도록 디자인되었습니다.

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디자이너가 제공한 크레딧, 팀원 및 기술 세부 사항.

고유 특성: The work uses 3D printing to activate traditional Chinese culture to realize the synergistic design of structural properties generated by the 'Taihu Stone' and bi-directional evolutionary structural optimization algorithms, focusing on the complexity of virtual birth forms into the rationality of physical forms. This digital design practice learns from nature and derives its design biomorphic approach from natural systems to achieve the sustainable goal of living in symbiosis with nature.
치수 및 패키징: Length 915mm, width 1125mm, height 1052mm
태그: Bi-directional evolutionary structural optimization, 3D Printing, Conceptual Design, Furniture Design
생산 기술: A bi-directional evolutionary structural optimization method was used to optimize the furniture structure and to obtain a simulated natural form of Taihu stone. The furniture model is constructed from liquid photosensitive resin material by integrated 3D printing. The actual construction was carried out using metal 3D printing.
디자인 과제: The most difficult part of the project development process is the topology optimization phase, including the application of relevant mechanics methods and the testing of data iterations. Secondly, it was also a challenge to verify the feasibility of the structural materials, which needed to be considered in terms of production difficulties and the extent to which people would use them.
연구: Research objectives: 1. The digital expression of traditional Chinese cultures. 2. furniture structures optimization and 3D printing technology combined to achieve sustainability goals. Research methods: 1. Structural data collection and analysis. 2. Algorithmic data iteration to generate forms. Research findings: 1. 3D printing technology allows for rapid lightweight design, moving away from traditional production models. 2. Furniture structures and materials are cutting-edge. Research Impact: Provides the possibility of diverse design for the future digital design industry.
영감: In the long history of furniture design, traditional culture has given furniture shapes a richer morphological language, and 3D printing as a new design culture can bring more surprises to furniture design. From a design perspective, we hope that the combination of the natural form of the traditional Chinese stone "Taihu Stone" and digital design will result in a more vivid shape through 3D printing, activating a new way of communicating Chinese traditional culture in the digital age.
프로젝트 기간: The project started in July 2022 and ended in September 2022. Project duration: 2 months. Location: Wuhan City, Hubei Province, China.
운영 흐름: Firstly, the furniture is designed using a bi-directional evolutionary structural optimization algorithm and the prototype is iterated according to the corresponding optimization results. Secondly, the furniture is constructed by 3D printing. The topologically optimized furniture not only has reasonable structural properties, reduces the amount of material used, and shortens the construction production cycle, but also results in a better quality customized lightweight designs.
팀원: Yang Pu
Ding Wen Bao
이미지 출처: Yang Pu and Ding Wen‘Nic’Bao，2022.