Spidique 椅子 by Siqi Yang is a highly esteemed winner of the very prestigious 2024 A' Design Award 銀獎 in 傢俱設計 Competition Category.

銀傢俱· 2024

Spidique 椅子

by Siqi Yang

Client: Yang Siqi

A' Design Award 銀獎 Winner in 傢俱 Category

2,796,226

Verified Award Winner

Verify Award Status for #154548

View at A' Design Award Press Release Award Badge

Colors

The Design

About Spidique 椅子

Spidique係一張用PLA物料以3D打印技術製作嘅椅子。Spidique嘅形態係用Ameba軟件生成,該軟件應用BESO算法進行拓撲優化。計算出嚟嘅形狀再由設計團隊加以完善,以提升人體工學同視覺美感。纖細嘅線條融入結構之中,平衡外觀同力學表現。設計團隊打印咗多個原型,並測試其舒適度同耐用性。Spidique嘅設計理念係以最少嘅塑料同減少物料浪費嚟達到所需嘅功能。

The Recognition

About the A' Design Award 銀獎

Spidique 椅子是 A' Design Award 銀獎得主，這是授予頂級、華美而令人印象深刻的設計的極為崇高的認可。銀獎得主是極其卓越、極具創造力的作品，展現出其設計師傑出的專業技能、才華與敏銳。預計Spidique 椅子將成為一件出色的典範之作，兼具非凡的專業性與深刻的創新性。這件贏得 A' Design Award 銀獎的設計是一項備受矚目、令人欽佩的發明，造福並拓展藝術、科學、設計和技術的界限。Spidique 椅子是一件令人羨慕的創作，它喚起渴望，帶來積極的情感，並激發驚嘆與讚嘆。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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.
Dimensions & Packaging: 808.56mm x 750.57mm x 799.28mm
Tags: Parametric design, future, 3D printing，Innovative furniture，industrial design， modern design
Production Technology: 3D printing technology, PLA
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: from February 2022 to September 2023.
Chengdu, Sichuan,China
Operation Flow: 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.
Image Credits: 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