Simulating the variability and scale effect for slow crack growth in Hi-Nicalon SiC-based tows: A parametric study |
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| Affiliation: | 1. Federal University of São Carlos, Graduate Program in Materials Science and Engineering (PPGCEM), 13565-905, São Carlos, SP, Brazil;2. Federal University of São Carlos (UFSCar), Department of Materials Engineering (DEMa), 13565-905, São Carlos, SP, Brazil;3. Université Paris-Saclay, ENS Paris-Saclay, CNRS, LMT – Laboratoire de Mécanique et Technologie, 91190 Gif-sur-Yvette, France;1. Key Laboratory of Aero-engine Thermal Environment and Structure, Ministry of Industry and Information Technology, Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China;2. Nanjing Forestry University, College of Chemical Engineering, Nanjing 210016, PR China;3. AECC Commercial Aircraft Engine Co., Ltd., Shanghai 200241, China;1. State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha, Hunan, 410083, PR China;2. Hunan Province Key Laboratory of New Specialty Fibers and Composite Material, Central South University, Changsha, Hunan, 410083, PR China;3. Powder Metallurgy Research Institute, Central South University, Changsha, Hunan 410083, PR China;4. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University, No. 800, Dongchuan Road, Minhang District, Shanghai 200240, PR China;5. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, No. 29, Jiangjun Ave., Nanjing 211106, PR China;1. Department of Materials Convergence and System Engineering, Changwon National University, Changwon, Gyeongnam, 51140, Republic of Korea;2. School of Material Science and Engineering, Changwon National University, Changwon, Gyeongnam, 51140, Republic of Korea;3. Department of Physics, University of Petroleum & Energy Studies, Dehradun, 248 007, India;4. Department of Physics, College of Science, King Faisal University, Hofuf, Al-Ahsa, 31982, Saudi Arabia |
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| Abstract: | The delayed failure time of SiC-based multifilament tows under static fatigue condition is as broadly scattered as for individual filaments, despite it is commonly used as strong scatter reduction. Moreover, the stress exponent (n) is hierarchy-dependent as revealed by a Monte-Carlo algorithm: decreasing from filament (micro) scale to tow (meso) scale. This is demonstrated to originate from the mismatch between the stress applied to the critical filament (affecting the growth kinetics), variable because of fiber misalignment in the tow, and its tow-averaged value used for endurance diagram construction. In the context of this algorithm, it is shown that n would evolve with fiber parallelism, tow stress range or the critical filament rank whereas filament strength distribution plays a secondary role. The tow structure shall therefore be considered as a major parameter for composite part design aiming long service life. |
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| Keywords: | Hi-Nicalon Static fatigue Scale effect Delayed failure prediction Slow crack growth |
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