دانلود مقاله ISI انگلیسی شماره 151587
ترجمه فارسی عنوان مقاله

بهبود مدل های تحلیلی انتقال حرارت برای قالب گیری تزریقی گرمانرم و مقایسه با آزمایشات

عنوان انگلیسی
Improvement of heat transfer analytical models for thermoplastic injection molding and comparison with experiments
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
151587 2018 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : International Journal of Heat and Mass Transfer, Volume 118, March 2018, Pages 14-26

ترجمه کلمات کلیدی
قالب گیری تزریقی، ترموپلاستی، انتقال گرما، مدل های تحلیلی، زمان خنک کننده، مقاومت در برابر حرارت،
کلمات کلیدی انگلیسی
Injection molding; Thermoplastics; Heat transfer; Analytical models; Cooling time; Thermal contact resistance;
پیش نمایش مقاله
پیش نمایش مقاله  بهبود مدل های تحلیلی انتقال حرارت برای قالب گیری تزریقی گرمانرم و مقایسه با آزمایشات

چکیده انگلیسی

The aim of analytical models presented in this paper was to provide a first set of data for choosing thermal conditions during thermoplastic injection molding. Two different models allowed the quick determination of the cooling/solidifying time, the mold surface temperature variation and the heat flux densities exchanged between the polymer and the mold. The first model specific to amorphous polymers was based on the 1D heat conduction equation. The second model dedicated to semi-crystalline polymer was based on the adaptation of the solution of the Stefan problem for part with a finite thickness. For each case, the influence of the thermal contact resistance between polymer and the mold on the cooling/solidifying time was highlighted. Then, the description of heat transfer in the mold allowed to determine the time needed to produce reliable parts when the mold was in periodic steady state. The attenuation of the periodic temperature variation through the thickness of the mold was evaluated through the penetration depth. Parameters calculated from these analytical models were compared with experimental results obtained with an instrumented mold or with data computed with a coupled model. The good agreement between them validated the interest to these models to get quickly reliable characteristic parameters of injection molding.