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A color masterbatch assistance system for optimizing product color by masterbatch addition in injection molding of post-industrial recyclates

  • Magdalena Pöttinger EMAIL logo , Christian Marschik , Klaus Straka , Klaus Fellner and Georg Steinbichler
Published/Copyright: March 19, 2025
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Abstract

In injection molding, ensuring consistent optical part quality, in particular achieving identical color across the parts produced, is crucial. In the context of processing recycled materials, variations in the input material streams can pose challenges, requiring color masterbatch content to be adapted inline if a predefined reference color is to be achieved. This study presents a color assistance system that uses a sensor to measure the color of injection molded parts and to determine the optimal amount of masterbatch to be added for achieving a specified color for a defined material input stream. Testing of the system focused on post-industrial recyclate which had a color in the second color quadrant in the CIELAB color space. The system proved effective in regulating masterbatch contents to improve color consistency and can be employed for quality assurance in the injection molding process, particularly when using recycled materials.


Corresponding author: Magdalena Pöttinger, Competence Center CHASE GmbH, Hafenstraße 47-51, 4020 Linz, Austria, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: This work was conducted within the COMET Centre CHASE, funded within the COMET – Competence Centers for Excellent Technologies program by the BMK, the BMDW and the Federal Provinces of Upper Austria and Vienna. The COMET program is managed by the Austrian Research Promotion Agency (FFG).

  7. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2024-07-27
Accepted: 2025-01-14
Published Online: 2025-03-19
Published in Print: 2025-05-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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