کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1467218 990093 2009 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling fibre orientation in short fibre suspensions using the neural network-based orthotropic closure
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد سرامیک و کامپوزیت
پیش نمایش صفحه اول مقاله
Modeling fibre orientation in short fibre suspensions using the neural network-based orthotropic closure
چکیده انگلیسی

Industrial methods for modeling the fibre orientation within short-fibre reinforced polymer composites require the use of a closure approximation, whereby the equation of motion for an even-ordered orientation tensor depends on the next higher even-ordered orientation tensor. The orientation within the processed part correlates to the material stiffness tensor; therefore it is essential to have confidence in the accuracy of the selected closure. This paper suggests a novel methodology in formulating a closure by employing an artificial neural network (ANN) training algorithm, and presents the coordinate frame invariant Neural Network-Based Orthotropic Closure (NNORT). Results demonstrate that, for most of the flows investigated, the NNORT closure offers accuracies representing the orientation and the stiffness tensors, equal to or greater than the current industrially employed closures, without any computational increases.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composites Part A: Applied Science and Manufacturing - Volume 40, Issue 10, October 2009, Pages 1524–1533
نویسندگان
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