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<p>Properties of polymers and composites deteriorate due to hydrothermal aging and recycling. To enable rapid structural degradation assessment after a certain time in service, a novel rapid method of non-destructive evaluation (NDE) of degradation degree was developed. It is shown that it is possible by using quantitative structure-property relationship (QSPR) modeling principles and rapid Fourier Transform Infrared (FTIR) spectroscopic characterization to evaluate rapidly the degradation degree of polymers due to both aging and recycling. The methodology was validated in a case study, using polylactic acid (PLA) material, hygrothermally aged for 60 days at 40°C, immersed in distilled water. Mechanical recycling cycles, involving grinding, extrusion, and additive manufacturing (AM; 3D printing), were performed at intervals of 15 days of hygrothermal aging. The developed QSPR methodology accurately predicted Young’s modulus values of PLA material, both in a virgin and aged state, capturing stiffness degradation due to hygrothermal aging and recycling after 15, 30, 45, and 60 days, until complete deterioration of the polymer was achieved, at 60 days of aging and four cycles of aging &amp; recycling. This novel NDE methodology contributes to the advancement of the modular multiscale modeling framework.</p>

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Rapid Non-Destructive Polymer Degradation Degree Evaluation Method Using Quantitative Structure-Property Relationship

  • 期刊论文

  • 发表日期：

    2025年9月2日

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  • A. E. Krauklis,
  • F. Verceux,
  • S. Grammatikos

摘要

Properties of polymers and composites deteriorate due to hydrothermal aging and recycling. To enable rapid structural degradation assessment after a certain time in service, a novel rapid method of non-destructive evaluation (NDE) of degradation degree was developed. It is shown that it is possible by using quantitative structure-property relationship (QSPR) modeling principles and rapid Fourier Transform Infrared (FTIR) spectroscopic characterization to evaluate rapidly the degradation degree of polymers due to both aging and recycling. The methodology was validated in a case study, using polylactic acid (PLA) material, hygrothermally aged for 60 days at 40°C, immersed in distilled water. Mechanical recycling cycles, involving grinding, extrusion, and additive manufacturing (AM; 3D printing), were performed at intervals of 15 days of hygrothermal aging. The developed QSPR methodology accurately predicted Young’s modulus values of PLA material, both in a virgin and aged state, capturing stiffness degradation due to hygrothermal aging and recycling after 15, 30, 45, and 60 days, until complete deterioration of the polymer was achieved, at 60 days of aging and four cycles of aging & recycling. This novel NDE methodology contributes to the advancement of the modular multiscale modeling framework.