Eco Fusion AI Iṣẹ Akọkọ: Ẹrọ Titẹwe Onigun Mẹta Atunlo by Xilin Tang

Eco Fusion AI Iṣẹ Akọkọ: Ẹrọ Titẹwe Onigun Mẹta Atunlo by Xilin Tang is a highly esteemed winner of the very prestigious 2025 Àmì-ẹ̀yẹ Idẹ A' Design Award in Àpẹẹrẹ Rọ́bọ́tíìkì, Ẹ̀rọ Adáṣe àti Ìṣàdáṣe Competition Category.

IdẹRọ́bọ́tíìkì· 2025

Eco Fusion AI Iṣẹ Akọkọ: Ẹrọ Titẹwe Onigun Mẹta Atunlo

by Xilin Tang

Client: Osrbot

Àmì-ẹ̀yẹ Idẹ A' Design Award Winner in Rọ́bọ́tíìkì Category

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The Design

About Eco Fusion AI Iṣẹ Akọkọ: Ẹrọ Titẹwe Onigun Mẹta Atunlo

Ọrọ Iwe: Eco Fusion AI jẹ́ ẹrọ titẹwe onigun mẹta atunlo tí ó ń yí àwọn ìgò ike padà sí okùn tí a lè lò fún títẹ̀wé. Ọ̀pá gígé kan yọ ìgbésẹ̀ lílọ̀ tí a máa ń lò tẹ́lẹ̀ kúrò, nítorí náà ìgò kọ̀ọ̀kan ni a gé, dà, tí a sì fi taara sínu ẹ̀rọ extruder. Apá roboti kan ń gbé àwọn ìgò tuntun wọlé, ẹ̀rọ ọgbọ́n àtọwọ́dá (AI) sì ń ṣètò iwọ̀n ooru àti iyara ìfilọ́lẹ̀. Àwọn sensọ ooru àti sisan ń bójútó ìgúnrégé nígbà tí ẹ̀rọ náà bá ń ṣiṣẹ́. A ṣe àwòrán ẹ̀rọ náà (chassis) láti inu aluminium tí a ti tún lò, àwọn pátákò tí a lè rí gbà inú rẹ̀ sì ń ṣe àfihàn ìṣesẹ̀ inú rẹ̀. Ìbojú ìfọwọ́kàn kan ń fi ìpele kọ̀ọ̀kan hàn, tí ó mú kí àtúnlò lórí ibùdó jẹ́ ọ̀rọ̀ tí ó ṣe kedere tí ó sì rọrùn láti lóye.

The Recognition

About the Àmì-ẹ̀yẹ Idẹ A' Design Award

Eco Fusion AI Iṣẹ Akọkọ: Ẹrọ Titẹwe Onigun Mẹta Atunlo jẹ́ olùborí Àmì-ẹ̀yẹ Idẹ A' Design Award, ìdánimọ̀ olókìkí gan-an tí a fún àwọn àwòṣe tó tayọ tí wọ́n yàtọ̀ nípasẹ̀ ìṣẹ̀dá, àrékérekè àti ọgbọ́n inú. Àwọn olùborí Idẹ jẹ́ àwọn ohun èlò tó ní ìjáfáfá gan-an tí wọ́n sì ní ìṣẹ̀dá tó yani lẹ́nu tí wọ́n ń ṣe ẹ̀rí ìrírí gbígbòòrò, ìrònú àti ọgbọ́n àwọn olùṣàwòṣe wọn. A retí pé Eco Fusion AI Iṣẹ Akọkọ: Ẹrọ Titẹwe Onigun Mẹta Atunlo yóò jẹ́ ohun tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó jẹ́ ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Idẹ A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ nínú iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ jọ, ó sì tayọ nítorí àfiyèsí rẹ̀ sí àwọn àlàyé kékeré. Eco Fusion AI Iṣẹ Akọkọ: Ẹrọ Titẹwe Onigun Mẹta Atunlo ń tẹ́ àwọn ohun tí a nílò lọ́rùn lọ́nà àgbàyanu, ó ń fọwọ́ kan àwọn ìfẹ́ inú, ó ń gbà ọkàn ó sì ń fa ìfẹ́ láti mọ̀ mọ́ra.

Behind the Design

Press Kit

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

Unique Properties: 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.
Dimensions & Packaging: 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.
Tags: AI driven recycling, PET bottle transformation, 3D printing, robotic arm, circular economy, energy efficient, user friendly, sustainable manufacturing, minimal waste.
Production Technology: 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.
Design Challenge: 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.
Research: 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
Inspiration: 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.
Project Duration: The project started in December 2023 in Auburn, Alabama, USA and ended in December 2024 in Auburn, Alabama, USA.
Operation Flow: 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.
Image Credits: 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.