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Spidique チェア by Siqi Yang

Spidique チェア by Siqi Yang is a highly esteemed winner of the very prestigious 2024 A' Design Award 銀賞 in 家具デザイン Competition Category.


銀家具· 2024

Spidique チェア

by Siqi Yang

Client: Yang Siqi

A' Design Award 銀賞 Winner in 家具 Category

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The Design

About Spidique チェア

Spidiqueは、PLA樹脂を用いた3Dプリンティング技術によって製作されたチェアである。その形状は、位相最適化のためのBESOアルゴリズムを適用するAmebaソフトウェアによって生成された。算出された形状は、その後デザインチームによって人間工学的な快適性と視覚的な魅力を高めるべく洗練された。細く繊細なラインが構造体へと融合され、外観と力学性能のバランスが図られている。プロトタイプを出力し、快適性と耐久性の検証が行われた。Spidiqueが目指したのは、最小限のプラスチック使用量と материалの廃棄削減によって、求められる機能を実現することである。

The Recognition

About the A' Design Award 銀賞

Spidique チェアは、見事で印象的なハイエンドのデザインに授与される、非常に権威ある評価である A' Design Award 銀賞の受賞作品です。銀賞の受賞作品は、きわめて輝かしく創造性に富んだ作品であり、デザイナーの傑出した専門知識、才能、洞察力を示しています。Spidique チェアは、素晴らしい代表作であり、驚くほどプロフェッショナルで、深く革新的であることが期待されます。この A' Design Award 銀賞を受賞したデザインは、非常に注目すべき称賛される発明であり、芸術・科学・デザイン・技術の境界に寄与し、それを前進させます。Spidique チェアは、多くの人に羨まれる創造物であり、欲求を呼び覚まし、前向きな感情をもたらし、驚きと感嘆を灯します。

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

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