Digital Taihu 3D打印傢俱 by Yang Pu and Ding Wen Nic Bao

Digital Taihu 3D打印傢俱 by Yang Pu and Ding Wen Nic Bao is a highly esteemed winner of the very prestigious 2023 A' Design Award 鐵獎 in 三維打印設計 Competition Category.

鐵三維打印· 2023

Digital Taihu 3D打印傢俱

by Yang Pu and Ding Wen Nic Bao

Client: Nanjing University of the Arts and RMIT University

A' Design Award 鐵獎 Winner in 三維打印 Category

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Colors

The Design

About Digital Taihu 3D打印傢俱

數碼太湖運用3D打印技術，於數碼時代活化中國傳統文化的應用，結合太湖石與雙向演化結構優化算法，探索源於自然系統的設計生成方法，最終呈現出結構優化的數碼可持續設計作品。

The Recognition

About the A' Design Award 鐵獎

Digital Taihu 3D打印傢俱是 A' Design Award 鐵獎得主，這是授予滿足人們對設計精良的創作所期待的專業與工業要求的優良設計的聲望認可。鐵獎得主展現出其創作者的高超技藝、高度專業化、專家級的理解力和創造能力。預計Digital Taihu 3D打印傢俱將成為一件備受推崇、令人欽佩且被珍愛的創作，既實用又創新。這件贏得 A' Design Award 鐵獎的設計整合了行業最佳實踐，並擁有與專業知識和才華相結合的稱職技術特性。Digital Taihu 3D打印傢俱因其嚴謹而受到尊重，旨在提供有助於讓世界變得更美好的生活品質改善。

Behind the Design

Press Kit

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

Unique Properties: 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.
Dimensions & Packaging: Length 915mm, width 1125mm, height 1052mm
Tags: Bi-directional evolutionary structural optimization, 3D Printing, Conceptual Design, Furniture Design
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: The project started in July 2022 and ended in September 2022. Project duration: 2 months. Location: Wuhan City, Hubei Province, China.
Operation Flow: 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.
Team Members: Yang Pu
Ding Wen Bao
Image Credits: Yang Pu and Ding Wen‘Nic’Bao，2022.