디자이너 Siqi Yang의 작품 Spidique 의자은(는) 매우 권위 있는 2024 A' Design Award 은상의 가구 디자인 부문에서 탁월한 수상작입니다.

은가구· 2024

Spidique 의자

디자이너: Siqi Yang

클라이언트: Yang Siqi

가구 부문 A' Design Award 은상 수상작

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디자인

Spidique 의자 소개

Spidique는 PLA 소재를 사용해 3D 프린팅 기술로 제작한 의자이다. Spidique의 형태는 위상 최적화를 위해 BESO 알고리즘을 적용하는 Ameba 소프트웨어를 통해 생성되었다. 이렇게 산출된 형상은 인체공학성과 시각적 매력을 높이기 위해 디자인 팀이 다듬었다. 가늘고 섬세한 선들이 구조에 통합되어 외형과 역학적 성능의 균형을 이룬다. 프로토타입을 출력해 편안함과 내구성을 시험하였다. Spidique가 지향하는 바는 최소한의 플라스틱 사용량과 줄어든 재료 낭비로 요구되는 기능을 구현하는 것이다.

수상 인정

A' Design Award 은상 소개

Spidique 의자, 이 작품은 A' Design Award 은상 수상작으로, 최상급이며 아름답고 인상적인 디자인에 수여되는 비범하게 권위 있는 인정입니다. 은상 수상작은 대단히 뛰어나고 매우 창의적인 작품으로, 디자이너의 탁월한 전문 지식, 재능, 통찰력을 보여 줍니다. Spidique 의자, 이 작품은 훌륭한 대표작으로서 매우 전문적이고 깊이 있게 혁신적일 것으로 기대됩니다. 이 은상 수상 디자인은 예술, 과학, 디자인, 기술의 경계를 넓히는 데 이바지하는 주목할 만하고 찬사를 받는 발명품입니다. Spidique 의자, 이 작품은 모두가 부러워하는 창작물로서 욕망을 일깨우고 긍정적인 감정을 불러오며 경탄과 경이로움을 불러일으킵니다.

디자인 비하인드

프레스 킷

디자이너가 제공한 크레딧, 팀원 및 기술 세부 사항.

고유 특성: Spidique is a chair manufactured using 3D printing technology. Its shape calculation and design were carried out using the Ameba software, which employs the BESO (Bidirectional Evolutionary Structural Optimization) algorithm for topological optimization. A primary challenge during the design process was how to further optimize and redesign the computed chair shape.
치수 및 패키징: 808.56mm x 750.57mm x 799.28mm
태그: Parametric design, future, 3D printing，Innovative furniture，industrial design， modern design
생산 기술: 3D printing technology, PLA
디자인 과제: Navigating the optimization of the chair's computed shape posed a significant challenge. Historically, chair designs have been a blend of functionality and aesthetics, crafted over centuries of human experience. Today's social perspective demands both comfort and sustainability. While computation provides precise design outcomes, it sometimes lacks the human touch essential for ergonomics and visual appeal. External factors, such as production constraints, also influenced design choices. Moreover, with evolving technology, leveraging the right tools for accurate simulations was paramount. Bridging this gap between computational efficiency and human-centric design was the crux of my challenge.
연구: This design research focuses on the application of 3D printing technology in furniture manufacturing, aiming to explore its potential impact on innovation and environmental sustainability. I employed a comparative analysis, contrasting the efficiency, material usage, and environmental footprint between traditional furniture production and 3D printed furniture. Data collection primarily relied on surveys involving 20 furniture designers and 100 general consumers, and we also crafted a series of prototypes using CAD software and 3D printers. The results revealed that 3D printing technology can reduce material waste by approximately 25% and shorten production time by about 30% in furniture manufacturing. This discovery underscores the significant innovation opportunities 3D printing introduces to the furniture design industry, while also presenting a reduced environmental impact. In real-life implications, this suggests that the furniture sector is on the cusp of a transformative shift, which could not only stimulate commercial growth but also reshape consumption patterns and innovative thinking in the design world.
영감: Plastic's introduction has drawn both praise and criticism. Its unmatched convenience makes it indispensable, but its environmental impact is concerning. In my opinion, plastic's eco-impact largely rests on our handling. When recycled efficiently, its harm lessens. Moreover, achieving design goals with minimal plastic material signifies sustainable design. Inspired by this, I'm developing a plastic-based design, leveraging simulations for structural support. Merging elegant lines into the chair's design, I aim to balance aesthetics with mechanics.
프로젝트 기간: from February 2022 to September 2023.
Chengdu, Sichuan,China
운영 흐름: Operation:
1. Initialize the algorithm with set parameters.
2. Run the algorithm to get the initial chair design.
3. Designers evaluate the computer-generated model.

Process:
1. Refine the model post-review, emphasizing ergonomics.
2. Create a prototype, using methods like 3D printing.
3. Test the prototype's comfort and durability.
4. Analyze feedback, refine the design as needed, and repeat until optimal.

Interaction:
1. Designers input parameters and refine the algorithm's output.
2. Physical prototypes help designers assess design quality.
3. End-users test the chair, providing comfort and usability feedback.
4. Designers work with the production team to ensure the design is production-ready.
이미지 출처: Image #1:creator Yang Siqi ，2023
Image #2: Model Yang Siqi , 2023
Image #3: Model Yang Siqi , 2023
Image #4: creator Yang Siqi ，2023
Image #4: creator Yang Siqi ，2023