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Published on: August 4, 2018
Investigation of Product and Process Fingerprints for Fast Quality Assurance in Injection Molding of Micro-Structured
Nikolaos Giannekas1, Per Magnus Kristiansen2,3, Yang Zhang4
1Department of Mechanical Engineering, Technical University of Denmark, Produktionstorvet, Building 427A, DK-2800 Kgs. Lyngby, Denmark. nikgia@mek.dtu.dk.
This study introduces "Product and Process Fingerprints" for rapid quality control in injection molding. These fingerprints use process data to predict part quality, reducing the need for time-consuming metrology.
Area of Science:
- Manufacturing Engineering
- Materials Science
- Quality Control
Background:
- Injection molding is a cost-efficient manufacturing process for polymer components.
- Traditional metrological inspections for quality control are time-consuming and can lead to significant waste if issues are detected late.
- There is a need for rapid, in-process quality monitoring systems in injection molding.
Purpose of the Study:
- To present an alternative approach for process monitoring and quality control of injection molded parts.
- To introduce the concept of "Product and Process Fingerprints" for real-time quality assessment.
- To correlate in-mold and machine processed data with part quality indicators.
Main Methods:
- Developed a concept of "Product and Process Fingerprints" using calculated indices.
- Employed a statistically designed set of experiments to map the experimental space.
- Quantified micro-feature replication based on position and processing parameters.
Main Results:
- Identified several "Product and Process Fingerprints" that correlate well with micro-feature quality.
- Demonstrated that these fingerprints are dependent on feature geometry and location.
- Confirmed the potential of fingerprints as indirect indicators of part quality.
Conclusions:
- The "Product and Process Fingerprints" concept can support a rapid quality monitoring system.
- This approach has the potential to decrease reliance on off-line, time-consuming metrology.
- The fingerprints can serve as an early warning system during the manufacturing process.
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