Kullanım Kılavuzu
Neden sadece 3 sonuç görüntüleyebiliyorum?
Sadece üye olan kurumların ağından bağlandığınız da tüm sonuçları görüntüleyebilirsiniz. Üye olmayan kurumlar için kurum yetkililerinin başvurması durumunda 1 aylık ücretsiz deneme sürümü açmaktayız.
Benim olmayan çok sonuç geliyor?
Birçok kaynakça da atıflar "Soyad, İ" olarak gösterildiği için özellikle Soyad ve isminin baş harfi aynı olan akademisyenlerin atıfları zaman zaman karışabilmektedir. Bu sorun tüm dünyadaki atıf dizinlerinin sıkça karşılaştığı bir sorundur.
Sadece ilgili makaleme yapılan atıfları nasıl görebilirim?
Makalenizin ismini arattıktan sonra detaylar kısmına bastığınız anda seçtiğiniz makaleye yapılan atıfları görebilirsiniz.
 Görüntüleme 15
 İndirme 2
An ANN-PSO-Based Method for Optimizing Agricultural Tractors in Field Operation for Emission Reduction
2022
Dergi:  
Agriculture
Yazar:  
Özet:

: Aiming at the serious problem of agricultural tractor emission pollution, especially the limitation of nitrogen dioxide (NOx) and soot emissions, we took an agricultural diesel engine as the research object, and a diesel engine combustion chamber model was established for both simulated calculations and experimental verification analysis. The in-cylinder pressure and heat release obtained from the combustion chamber model simulation calculations were within 6% error of the experimental data. The overall trend of change was basically consistent. The established model can simulate the working conditions of the experimental engine relatively well. An artificial neural network (ANN) was also established as an agent model based on the indentation rate, tab depth, and combustion chamber depth as the input, and NOx and soot as the output. The decision coefficients of the ANN model were R 2 = 0.95 and 0.93, with corresponding Mean Relative Error (MRE) values of 10.13 and 8.18%, respectively, which are within the generally required interval, indicating that the obtained ANN model has good adaptability and accuracy. On the basis of the general particle swarm optimization (PSO) algorithm, an improved PSO algorithm was proposed, in which the inertia factor is continuously adjusted with the help of the skip line function in the optimization process so that the inertia factor adapts to different rates and adjusts the magnitude of the corresponding values in different periods. The improved PSO algorithm was used to optimize the optimal input parameter matching of the agent model to form a new combustion chamber structure, which was imported into CONVERGE CFD software for emission simulation and comparison with the emissions of the original combustion chamber. It was found that the NOx reduction was about 1.21 g·(kW·h) −1, and the soot reduction was about 0.06 g·(kW·h) −1 with the new combustion chamber structure. The ANN + PSO optimization method proved to be effective in reducing the NOx and soot emissions of diesel engine pollutants, and it may also provide a reference and ideas for the design and development of relevant agricultural engine combustion chamber systems.

Anahtar Kelimeler:

2022
Dergi:  
Agriculture
Yazar:  
Atıf Yapanlar
Bilgi: Bu yayına herhangi bir atıf yapılmamıştır.
Benzer Makaleler






Agriculture

Dergi Türü :   Uluslararası

Metrikler
Makale : 9.836
Atıf : 6.453
2023 Impact/Etki : 0.04
Agriculture