Influence of Oil Age on Particulate Size Distributions with an On Line Oil Recycler from an IDI Passenger Car Diesel Engine

2004 ◽  
Author(s):  
Hu Li ◽  
Gordon E. Andrews
Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2534
Author(s):  
Chiawei Chang ◽  
Yishun Chen ◽  
Litsung Sheng ◽  
Shusan Hsiau

We propose a dust removal technology in which a two-stage moving granular bed filter was employed using coarse and fine filtering granules. The pressure drop, collection efficiency, and dust particulate size distributions were investigated using various mass flow rates for coarse and fine granules at room temperature. In addition, the ratio of mass consumption was used to reveal the actual mass flow. The ratio of mass consumption influenced the pressure drop, collection efficiency, and dust particulate size distributions. Particulates larger than 1.775 μm were removed by the filter. Our results showed that a mass flow of 330 g/min for coarse granules and a mass flow of 1100 g/min for fine granules provided optimal collection efficiency and particulate size distribution. The proposed design can aid the development of high-temperature systems in power plants.


2001 ◽  
Author(s):  
Akiko Kawamoto ◽  
Yukio Takahashi ◽  
Takaaki Koiken ◽  
Fusayoshi Nakamura

2009 ◽  
Author(s):  
Andy Banks ◽  
Phil Carden ◽  
Brian Cooper ◽  
Kevin Harding ◽  
Michael Jeremy ◽  
...  
Keyword(s):  

Author(s):  
Athanasios Dimitriadis ◽  
Ioannis Natsios ◽  
Athanasios Dimaratos ◽  
Dimitrios Katsaounis ◽  
Zissis Samaras ◽  
...  

2017 ◽  
Vol 168 (1) ◽  
pp. 68-72
Author(s):  
Piotr BOGUŚ ◽  
Mateusz CIESZYŃSKI ◽  
Jerzy MERKISZ

The paper presents a method of classification of locomotive Diesel engine states basing on vibration signals taken from an engine body and using chosen statistical parameters calculated for the original signal and it wavelet multiresolution components. The researches presented in the paper concern estimation of an engine states before and after a general repair. The target application of the presented researches is an on-line diagnostic system which can complement standard OBD systems. To this purpose the applied methods should not base on complex analysis of some spectral, time-frequency or scalogram plots but rather on choosing single diagnostic parameters which are suitable for the fast on-line diagnostic. The results have showed the significant difference in distinguishing of engine work before and after a general repair using some chosen statistical parameters applied to vibration signals.


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