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Project cooperationUpdated on 17 March 2025

HORIZON-CL4-INDUSTRY-2025-01-TWIN-TRANSITION-01 , Integrated approaches for remanufacturing

Evrim Ozgul

Technology Lead - R&D at Beko

Istanbul, Türkiye

About

Objectives:  Enhancing the utilization of recycled material in the plastic injection molding process presents operational challenges, as higher proportions of recycled content often led to frequent interruptions and require continuous adjustments to process parameters. These disruptions can hinder manufacturing efficiency. This study aims to increase the proportion of recycled material usage from approximately 5% to 15% while maintaining stable production performance. App.annual consumption os  +150.000 Ton.

Expected Results: Utilizing sensor technologies embedded within the mold, AI-based algorithms will analyze sensor data to optimize process parameters, ensuring seamless production. The plastic injection molding process involves more than 60 parameters, necessitating real-time feedback control to maintain operational efficiency and product quality. Additionally, an LLM-based chatbot advisor will enhance process management and status visualization, facilitating informed decision-making and operational oversight

Stage

  • Early (Idea)

Call

  • Artificial Intelligence (AI) based Tools and Technologies
  • Digital Solutions and Digitalization
  • Manufacturing Industries
  • AI & Data & Robotics

Type

  • R&D Partner
  • Technical Partner
  • Coordinator
  • Dissemination & Exploitation Partner

Organisation

Beko

Company

Istanbul, Türkiye

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