کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1560629 1513914 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An effective inverse procedure for identifying viscoplastic material properties of polymer Nafion
ترجمه فارسی عنوان
یک روش معکوس مؤثر برای شناسایی خواص مایع ویسکوزپلاستی پلی فنول
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی


• We report an inverse procedure to identify the viscoplastic properties of polymer Nafion.
• The procedure mainly consists of experiment, forward calculation and inverse operator.
• A two-layer viscoplastic model is conveniently used to describe mechanical behavior of Nafion.
• Parameters A, n and f in the viscoplastic model play a key role in force displacement response.
• Key parameters A, n and f in the viscoplastic model are successfully identified.

An effective inverse procedure is suggested to identify the viscoplastic material properties of polymer Nafion, by minimizing differences in the force–displacement responses of uniaxial tension test between experimental and simulation results. In this procedure, a two-layer viscoplastic constitutive model is adopted to describe the viscoplastic behavior of Nafion. A response surface method is used as a forward solver to calculate the force–displacement response for given material property varying continuously in a certain range. An intergeneration projection genetic algorithm (IP-GA) is then employed as the inverse operator on the response surface to determine the unknown key constants. The selected viscoplastic constants, A, n and f, are varied iteratively using the proposed inverse procedure until the stopping criterion is satisfied. The identification results for two cases demonstrate the effectiveness of the present inverse procedure, as well as its robustness to the noises effects. It is found that this procedure is a potentially useful tool to effectively help determine the viscoplastic material properties of polymer Nafion.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Materials Science - Volume 95, December 2014, Pages 159–165
نویسندگان
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