A Semi-Empirical Model to Predict Diesel Engine Combustion Parameters
Publish place: 6th International Conference on Internal Combustion Engines
Publish Year: 1388
Type: Conference paper
Language: English
View: 2,532
متن کامل این Paper منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل Paper (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دانلود نمایند.
- Certificate
- I'm the author of the paper
Export:
Document National Code:
ICICE06_099
Index date: 30 September 2009
A Semi-Empirical Model to Predict Diesel Engine Combustion Parameters abstract
To carry out the investigation, the cylinder pressure model was developed based on the parameters on engine: a) position of crankshaft; b) engine load; c) engine speed; d) fuel injection time. This is first model of its type that has taken in account the maximum number of parameters involved. The accuracy of model was proved comparing the test results. The average error of the cylinder pressure, the average radical of thesquare of the error of the cylinder pressure and the average error of maximum pressure was calculated respectively 1.85%, 3.32, 0.66 (percent of maximum pressure), in which all the figures are accurate. This model was compared with the existing model (by Conolly & Yagle); the two models are similar in terms of the pressure relating the square of time and the exponential of time. This model seems to be applicable to other diesel engines. The results of the equation along with experimental results were compared and described by Fourier series that are indicative ofcylinder pressure level between them.
A Semi-Empirical Model to Predict Diesel Engine Combustion Parameters Keywords:
A Semi-Empirical Model to Predict Diesel Engine Combustion Parameters authors
Barat Ghobadian
Associated professor-Tarbiat Modares University
M Nayebi
M.E Graduated from TMU
G Najafi
Ph.D. Candidate-TMU
M Saidi Neicharan
Ph.D. student, Tarbiat Modares University