کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
710640 892116 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling and simulation of the thermodynamic cycle of the Diesel Engine using Neural Networks
ترجمه فارسی عنوان
مدل سازی و شبیه سازی چرخه ترمودینامیکی موتور دیزل با استفاده از شبکه های عصبی
کلمات کلیدی
موتور دیزل، چرخه ترمودینامیکی، مدل سازی شبکه عصبی مصنوعی، حالت عمل نادرست
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی

:In this paper, a unique single zone combustion model is proposed to predict Diesel engine’s performance, pressure, and temperature based on the conservation of mass and energy. In order to simulate all phases of combustion, the proposed model takes in consideration the dynamics of the intake and exhaust gas through the valves, the ignition delay, the instantaneous change in gas properties, the properties of the burned fuel, and the heat losses by the walls. Validation of this model has been realized by experimental data. Important issue has been recognized that the physical model takes too much time in calculation. For this purpose, a Feed-Forward Neural Network (FFNN) model is developed and validated experimentally to predict the pressure and temperature in the cylinder in nominal and faulty operations. Finally, the influence of some possible faults that may be produced on the diesel engine cycle during the operation has been analyzed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC-PapersOnLine - Volume 49, Issue 3, 2016, Pages 221–226
نویسندگان
, , , , ,