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Photo-DSC method for liquid samples used in vat photopolymerization
Joel Bachmann1, Elisabeth Gleis2, Stefan Schmölzer3
1Technical University of Munich, Department of Chemistry, Lichtenbergstraße 4, 85748, Garching, Germany; BMW Group FIZ, Knorrstraße 147, 80788, Munich, Germany.
Photo differential scanning calorimetry (photo-DSC) optimizes photopolymer characterization for additive manufacturing. Careful sample preparation, including optimized crucible covers and reduced measurement times, ensures reliable results for resin systems.
Area of Science:
- Materials Science
- Polymer Chemistry
- Analytical Chemistry
Background:
- Photo differential scanning calorimetry (photo-DSC) is crucial for characterizing photopolymers in additive manufacturing (AM).
- Accurate photo-DSC analysis depends heavily on meticulous sample preparation, including sample shape, mass, and crucible selection.
- Surface effects like oxygen diffusion and evaporation can impact measurement reliability.
Purpose of the Study:
- To investigate optimal sample preparation techniques for photo-DSC analysis of photopolymers used in AM.
- To evaluate the influence of sample shape, mass, and preparation-to-measurement time on results.
- To develop a robust and time-efficient protocol for automated sample analysis.
Main Methods:
- Investigated two sample shapes (drop and spread) with different masses (1.0 mg and 2.8 mg).
- Tested varying preparation-to-measurement intervals (0, 4, and 7 hours) to assess surface effects.
- Evaluated different crucible covers and a shortened test protocol (24 min vs. 42 min) for automated sample changers (ASC).
Main Results:
- The 2.8 mg drop shape minimizes surface effects, while the 1.0 mg spread shape offers better comparability to high-resolution prints.
- A shortened 24-minute protocol maintained measurement accuracy.
- A combination of an 85 μL crucible covered by a 300 μL Al2O3 crucible (removed before measurement) minimized mass loss (<1% for 10 hours) for ASC compatibility.
- Photo-DSC successfully differentiated resin components, identified photoinitiators, and distinguished between methacrylate and acrylate systems.
Conclusions:
- Optimized sample preparation, including crucible selection and reduced measurement times, is essential for reliable photo-DSC characterization of photopolymers in AM.
- The developed protocol enhances the efficiency and accuracy of photo-DSC analysis, particularly for automated systems.
- Photo-DSC is a powerful tool for analyzing complex two-part resin systems used in Digital Light Synthesis (DLS).
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