Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effects
To accurately predict the service life of the hydroxy-terminated polybutadiene (HTPB) propellant, in this study, we constructed a maximum elongation degradation model that comprehensively considers physical damage and chemical aging effects. Specifically, we conducted accelerated thermal aging and u...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Polymer Testing |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S014294182500025X |
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| _version_ | 1832576587882561536 |
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| author | Tingjing Geng Hongfu Qiang Heyang Miao Xueren Wang Zhejun Wang Huimin Zhang |
| author_facet | Tingjing Geng Hongfu Qiang Heyang Miao Xueren Wang Zhejun Wang Huimin Zhang |
| author_sort | Tingjing Geng |
| collection | DOAJ |
| description | To accurately predict the service life of the hydroxy-terminated polybutadiene (HTPB) propellant, in this study, we constructed a maximum elongation degradation model that comprehensively considers physical damage and chemical aging effects. Specifically, we conducted accelerated thermal aging and uniaxial tensile tests under different constant strain conditions to obtain performance degradation datasets. Additionally, a new degradation performance characterization model was proposed, which was validated and improved based on the correlation between the Williams-Landel-Ferry (WLF) and Arrhenius equation parameters. Finally, we performed HTPB propellant service life prediction and verification for the proposed model based on the performance data under natural storage for 22 and 26 y, and compared our results with those of traditional methods. The prediction results of the improved model were more consistent with the natural storage estimated results compared to the traditional model, with a relative error of only 7.5 % and an accuracy improvement of 75 %. This study serves as a reference for efficient resource allocation and equipment maintenance planning, thus effectively avoiding economic losses caused by resource wastage. |
| format | Article |
| id | doaj-art-ef0a3ce463034c27a15162489311d8da |
| institution | Kabale University |
| issn | 1873-2348 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Polymer Testing |
| spelling | doaj-art-ef0a3ce463034c27a15162489311d8da2025-01-31T05:09:59ZengElsevierPolymer Testing1873-23482025-02-01143108711Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effectsTingjing Geng0Hongfu Qiang1Heyang Miao2Xueren Wang3Zhejun Wang4Huimin Zhang5Zhi-jian Laboratory, PLA Rocket Force University of Engineering, Xi'an, 710025, ChinaZhi-jian Laboratory, PLA Rocket Force University of Engineering, Xi'an, 710025, China206 Staff Room, PLA Rocket Force University of Engineering, Xi'an, 710025, ChinaZhi-jian Laboratory, PLA Rocket Force University of Engineering, Xi'an, 710025, China; Corresponding author.206 Staff Room, PLA Rocket Force University of Engineering, Xi'an, 710025, China; Corresponding author.7 Staff Room, Inner Mongolia Power Machinery Research Institute, Hohhot, 010000, ChinaTo accurately predict the service life of the hydroxy-terminated polybutadiene (HTPB) propellant, in this study, we constructed a maximum elongation degradation model that comprehensively considers physical damage and chemical aging effects. Specifically, we conducted accelerated thermal aging and uniaxial tensile tests under different constant strain conditions to obtain performance degradation datasets. Additionally, a new degradation performance characterization model was proposed, which was validated and improved based on the correlation between the Williams-Landel-Ferry (WLF) and Arrhenius equation parameters. Finally, we performed HTPB propellant service life prediction and verification for the proposed model based on the performance data under natural storage for 22 and 26 y, and compared our results with those of traditional methods. The prediction results of the improved model were more consistent with the natural storage estimated results compared to the traditional model, with a relative error of only 7.5 % and an accuracy improvement of 75 %. This study serves as a reference for efficient resource allocation and equipment maintenance planning, thus effectively avoiding economic losses caused by resource wastage.http://www.sciencedirect.com/science/article/pii/S014294182500025XHTPB propellantDegradation modelService life predictionConstant strainChemical agingDamage effects |
| spellingShingle | Tingjing Geng Hongfu Qiang Heyang Miao Xueren Wang Zhejun Wang Huimin Zhang Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effects Polymer Testing HTPB propellant Degradation model Service life prediction Constant strain Chemical aging Damage effects |
| title | Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effects |
| title_full | Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effects |
| title_fullStr | Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effects |
| title_full_unstemmed | Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effects |
| title_short | Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effects |
| title_sort | maximum elongation degradation model and service life prediction for htpb propellant under constant strain and chemical aging effects |
| topic | HTPB propellant Degradation model Service life prediction Constant strain Chemical aging Damage effects |
| url | http://www.sciencedirect.com/science/article/pii/S014294182500025X |
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