دورية أكاديمية

Numerical simulation for expansion of preform and optimization of preform in thermoset composites

التفاصيل البيبلوغرافية
العنوان: Numerical simulation for expansion of preform and optimization of preform in thermoset composites
المؤلفون: Jiatong Hou, Bo You, Jiazhong Xu, Qiaomu Hu
المصدر: Advances in Mechanical Engineering, Vol 13 (2021)
بيانات النشر: SAGE Publishing, 2021.
سنة النشر: 2021
المجموعة: LCC:Mechanical engineering and machinery
مصطلحات موضوعية: Mechanical engineering and machinery, TJ1-1570
الوصف: The expansion of preform and the optimization of preform have become important steps in the molding process. At present, there are some questions in the expansion of thermoset composite material preform and precompression, for example, the inaccurate dimensions, cracks, and wrinkles. For the expansion of preform, the finite element inverse algorithm is used as the expansion algorithm, and then the initial solution is optimized by the arc length mapping method, the expansion of preform is realized by the iterative equation which is solved by the ABAQUS solver. The effectiveness of the expansion of preform is verified through the comparison between the finite element inverse algorithm with DYNAFORM. The optimization of the precompression process is researched in order to solved the problems of cracks and wrinkles in the integral precompression method of preform. Firstly, the precompression sequence is adjusted by the precompression method, and then the precompression direction is optimized by the genetic algorithm. Through numerical simulation, the maximum thinning rate is reduced to 13%, and the maximum thickening rate is reduced to 6%, which improve the problems of cracks and wrinkles of preform, and the effectiveness of the optimization method is verified.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1687-8140
16878140
Relation: https://doaj.org/toc/1687-8140
DOI: 10.1177/16878140211017002
URL الوصول: https://doaj.org/article/bb032a36edf34a999efb9cc0b450fdd3
رقم الأكسشن: edsdoj.bb032a36edf34a999efb9cc0b450fdd3
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16878140
DOI:10.1177/16878140211017002