Spidique 椅子 by Siqi Yang is a highly esteemed winner of the very prestigious 2024 A' Design Award 银奖 in 家具设计 Competition Category.

银家具· 2024

Spidique 椅子

by Siqi Yang

Client: Yang Siqi

A' Design Award 银奖 Winner in 家具 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 是一款采用 PLA 材料通过 3D 打印技术制造的椅子。其形态由 Ameba 软件生成，该软件运用 BESO 算法进行拓扑优化。设计团队随后对计算所得的形态进行了细化，以提升人体工学性能与视觉美感。纤细的线条融入整体结构之中，在外观与力学性能之间取得平衡。团队打印了多款原型，并对其舒适度与耐久性进行了测试。Spidique 的设计初衷是以最少的塑料用量和更低的材料浪费实现所需功能。

The Recognition

About the A' Design Award 银奖

Spidique 椅子是 A' Design Award 银奖得主，这是授予顶级、华美而令人印象深刻的设计的极为崇高的认可。银奖得主是极其卓越、极具创造力的作品，展现出其设计师杰出的专业技能、才华与敏锐。预计Spidique 椅子将成为一件出色的典范之作，兼具非凡的专业性与深刻的创新性。这件赢得 A' Design Award 银奖的设计是一项备受瞩目、令人钦佩的发明，造福并拓展艺术、科学、设计和技术的边界。Spidique 椅子是一件令人羡慕的创作，它唤起渴望，带来积极的情感，并激发惊叹与赞叹。

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