设计师 Xilin Tang 的作品 Eco Fusion AI 回收再生三维打印机荣获了极具声望的 2025 A' Design Award 铜奖，竞赛类别为机器人、自动装置与自动化设计。

铜机器人· 2025

Eco Fusion AI 回收再生三维打印机

设计师： Xilin Tang

客户: Osrbot

机器人类别A' Design Award 铜奖获奖者

28,945

已验证的获奖者

验证 #166278 的获奖状态

在A' Design Award上查看新闻稿获奖徽章

色彩

设计作品

关于 Eco Fusion AI 回收再生三维打印机

Eco Fusion AI 是一款回收再生三维打印机,可将塑料瓶转化为可打印的耗材线材。切割刀条省去了常规的粉碎工序,每个瓶子经切割、熔融后直接送入挤出机。机械臂负责装载新瓶,人工智能系统则自动设定温度与送料速率。温度与流量传感器在运行过程中实时监控品质。机身由再生铝加工而成,半透明面板将内部工艺一览无余地呈现出来。触摸屏显示各个工序阶段,让现场回收过程清晰明了、易于理解。

荣誉认可

关于A' Design Award 铜奖

Eco Fusion AI 回收再生三维打印机是 A' Design Award 铜奖得主，这是授予以创造力、独创性和敏锐见长的杰出设计的极具声望的认可。铜奖得主是技艺娴熟、创意惊人的作品，印证了其设计师丰富的经验、想象力与机智。预计Eco Fusion AI 回收再生三维打印机将成为一件备受推崇、令人钦佩且被珍爱的物品，兼具显著的专业性与创新性。这件赢得 A' Design Award 铜奖的设计融入艺术、科学、设计和技术领域的最佳实践，并因注重细节而出类拔萃。Eco Fusion AI 回收再生三维打印机出色地满足需求，触动渴望，迷住情感，并吸引好奇心。

设计幕后

媒体资料包

由设计师提供的致谢、团队成员及技术详情。

独特属性: EcoFusionAI is an advanced recycling 3D printer that transforms plastic waste directly into printable filament. By using AI driven process optimization, a precision cutting bar, and a robotic arm, it eliminates conventional grinding steps, reducing energy and cost. Its translucent panels and intuitive interface foster user engagement and educational value, making the recycling process transparent, efficient, and widely accessible.
尺寸与包装: Dimensions: 750 mm wide x 500 mm deep x 600 mm high, 22 kg.
Build volume: 200 mm x 200 mm x 200 mm.
Power draw: 300 W at 220 to 240 V.
CNC machined aluminum frame with injection molded translucent panels.
Features an integrated cutting bar and AI driven extruder, equipped with temperature and flow sensors for continuous real time monitoring.
标签: AI driven recycling, PET bottle transformation, 3D printing, robotic arm, circular economy, energy efficient, user friendly, sustainable manufacturing, minimal waste.
生产技术: Eco Fusion AI's chassis is CNC machined from recycled aluminum, integrating AI controllers, stepper motors, and sensor arrays. A cutting bar mechanism removes pelletizing steps, while high temp polymer extruders manage precise temperature profiles. Translucent, injection molded panels reveal internal workflows, with real time data ensuring consistent filament quality.
设计挑战: Technically, the key challenge lies in unifying robotics, AI, recycling, and 3D printing into one cohesive system. Establishing a complete robotics infrastructure also demands a robust technical background and a mature supply chain. From a social standpoint, building consensus for an inclusive and user friendly AI powered circular economy is critical. Externally, varied waste regulations and limited technical infrastructure add complexity. Overcoming these obstacles involves merging powerful mechanical solutions with minimal energy consumption, ensuring legal compliance and universal accessibility.
研究: Type of Research:Mixed methods.
Research Objectives:Evaluate feasibility, cost savings, and user engagement of direct bottle to filament processes.
Methodology:AI simulations, prototypes, pilot tests.
Data Collection & Tools:Performance logs, motion tracking, user surveys.
Participants:Educators, makerspaces, small businesses.
Results:Reduced energy use, less waste.
Insights & Impacts:Proves on site recycling viability, fosters local economies.
Effect:Promotes sustainable design, advancing responsible manufacturin
灵感: Inspired by the urgent need to reduce plastic waste, Eco Fusion AI merges advanced AI and robotics to streamline recycling and 3D printing. It reimagines discarded PET bottles as valuable resources, bridging the gap between passive waste management and proactive sustainability. Observing inefficiencies in traditional processes, this design fosters a direct, transformative approach.
项目周期: The project started in December 2023 in Auburn, Alabama, USA and ended in December 2024 in Auburn, Alabama, USA.
操作流程: EcoFusionAI is simple to operate: just place a PET bottle in the machine, and it will automatically cut, melt, and feed the material for real time 3D printing. The robotic arm retrieves new bottles as needed, while AI determines the required amount of plastic, prompts users to provide enough bottles, and manages temperature and feed rates for smooth, reliable prints. The touchscreen interface displays the entire workflow, showing how waste transforms into valuable material. By removing the separate grinding step, EcoFusionAI runs faster, uses less energy, and delivers a more sustainable production experience.
图片版权: Image #1: Designer Xilin Tang, Auburn, 2024.
Image #2: Designer Xilin Tang, Auburn, 2024.
Image #3: Designer Xilin Tang, Auburn, 2024.
Image #4: Designer Xilin Tang, Auburn, 2024.
Image #5: Designer Xilin Tang, Auburn, 2024.