Conceptual models for partially premixed low-temperature diesel combustion

2013 ◽  
Vol 39 (2-3) ◽  
pp. 246-283 ◽  
Author(s):  
Mark P.B. Musculus ◽  
Paul C. Miles ◽  
Lyle M. Pickett
2018 ◽  
Vol 188 ◽  
pp. 440-452 ◽  
Author(s):  
Alessandro Stagni ◽  
Davide Brignoli ◽  
Marco Cinquanta ◽  
Alberto Cuoci ◽  
Alessio Frassoldati ◽  
...  

Author(s):  
Stephen Busch ◽  
Stanislav V. Bohac ◽  
Dennis N. Assanis

New diesel combustion modes face difficult challenges with respect to engine-out emissions and transient behavior. Transitions between lean conventional diesel combustion and lean, premixed, low-temperature diesel combustion are investigated with an automotive diesel engine. Effects of fuel pressure on transitional cycles are investigated. Cycle-by-cycle heat release analysis is performed and an exhaust mass flow model is used to obtain cycle-averaged NO concentrations. The behavior of combustion progression and NO emissions during the transitions are discussed. Observed cool-flame separation behavior is identified and explained.


Author(s):  
Liu Jingping ◽  
Xia Xiaolang ◽  
Wang Shuqing ◽  
Xu Xingsheng ◽  
Xu Zhengxing ◽  
...  

Author(s):  
William F. Northrop ◽  
Stanislav V. Bohac ◽  
Jo-Yu Chin ◽  
Dennis N. Assanis

Partially premixed low temperature combustion (LTC) is an established advanced engine strategy that enables the simultaneous reduction of soot and NOx emissions in diesel engines. Measuring extremely low levels of soot emissions achievable with LTC modes using a filter smoke meter requires large sample volumes and repeated measurements to achieve the desired data precision and accuracy. Even taking such measures, doubt exists as to whether filter smoke number (FSN) accurately represents the actual smoke emissions emitted from such low soot conditions. The use of alternative fuels such as biodiesel also compounds efforts to accurately report soot emissions since the reflectivity of high levels of organic matter found on the particulate matter collected may result in erroneous readings from the optical detector. Using FSN, it is desired to report mass emissions of soot using empirical correlations derived for use with petroleum diesel fuels and conventional modes of combustion. The work presented in this paper compares the experimental results of well known formulas for calculating the mass of soot using FSN and the elemental carbon mass using thermal optical analysis (TOA) over a range of operating conditions and fuels from a four-cylinder direct-injection passenger car diesel engine. The data show that the mass of soot emitted by the engine can be accurately predicted with the smoke meter method utilizing a 3000 ml sample volume over a range of FSN from 0.02 to 1.5. Soot mass exhaust concentration calculated from FSN using the best of the literature expressions and that from TOA taken over all conditions correlated linearly with a slope of 0.99 and R2 value of 0.94. A primary implication of the work is that the level of confidence in reporting the soot mass based on FSN for low soot formation regimes such as LTC is improved for both petroleum diesel and biodiesel fuels.


2014 ◽  
Vol 22 (6) ◽  
pp. 120-127 ◽  
Author(s):  
Euijoon Shim ◽  
Youngdeok Han ◽  
Seunghyup Shin ◽  
Duksang Kim ◽  
Sangil Kwon

2019 ◽  
Author(s):  
Simhachalam Juttu ◽  
Sanjeev Gothekar ◽  
Neelkanth V Marathe ◽  
Nagesh Harishchandra Walke ◽  
Subhanker Dev

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