The effects of DTBP on the oxidation of SI primary reference fuels - a study in an HCCI engine and in a pressurized flow reactor

2021 ◽  
Author(s):  
Xiaohui Gong
2018 ◽  
Vol 11 (6) ◽  
pp. 993-1006 ◽  
Author(s):  
Ruinan Yang ◽  
Deivanayagam Hariharan ◽  
Steven Zilg ◽  
Benjamin Lawler ◽  
Sotirios Mamalis

Fuel ◽  
2014 ◽  
Vol 115 ◽  
pp. 32-40 ◽  
Author(s):  
L. Sileghem ◽  
V.A. Alekseev ◽  
J. Vancoillie ◽  
E.J.K. Nilsson ◽  
S. Verhelst ◽  
...  

2008 ◽  
Vol 1 (1) ◽  
pp. 1098-1109 ◽  
Author(s):  
Teppei Ogura ◽  
John P. Angelos ◽  
William H. Green ◽  
Wai K. Cheng ◽  
Thomas E. Kenney ◽  
...  

2016 ◽  
Author(s):  
Vijai Shankar Bhavani Shankar ◽  
Muhammad Sajid ◽  
Khalid Al-Qurashi ◽  
Nour Atef ◽  
Issam Alkhesho ◽  
...  

2017 ◽  
Vol 140 (5) ◽  
Author(s):  
Gabriel Ingesson ◽  
Lianhao Yin ◽  
Rolf Johansson ◽  
Per Tunestål

The problem of designing robust and noise-insensitive proportional–integral (PI) controllers for pressure-sensor-based combustion-timing control was studied through simulation. Different primary reference fuels (PRF) and operating conditions were studied. The simulations were done using a physics-based, control-oriented model with an empirical ignition-delay correlation. It was found that the controllable region in between the zero-gain region for early injection timings and the misfire region for late injection timings is strongly PRF dependent. As a result, it was necessary to adjust intake temperature to compensate for the difference in fuel reactivity prior to the controller design. With adjusted intake temperature, PRF-dependent negative-temperature coefficient (NTC) behavior gave different system characteristics for the different fuels. The PI controller design was accomplished by solving the optimization problem of maximizing disturbance rejection and tracking performance subject to constraints on robustness and measurement-noise sensitivity. Optimal controller gains were found to be limited by the high system gain at late combustion timings and high-load conditions; furthermore, the measurement-noise sensitivity was found to be higher at the low-load operating points where the ignition delay is more sensitive to variations in load and intake conditions. The controller-gain restrictions were found to vary for the different PRFs; the optimal gains for higher PRFs were lower due to a higher system gain, whereas the measurement-noise sensitivity was found to be higher for lower PRFs.


1994 ◽  
Author(s):  
Houliang Li ◽  
Srinivasa K. Prabhu ◽  
David L. Miller ◽  
Nicholas P. Cernansky

Author(s):  
Hakan Serhad Soyhan ◽  
Terese Løvås ◽  
Fabian Mauss

Abstract Homogeneous Charge Compression Ignition (HCCI) Engines are a promising alternative to the existing Spark Ignition Engines and Compression Ignition Engines. In an HCCI engine, the premixed fuel/air mixture ignites when sufficiently high temperature and pressure is reached. The entire bulk will auto-ignite at almost the same time because the physical conditions are similar throughout the combustion chamber. Therefore it is a justified assumption to consider the chemical reactions to be the rate-determining step for the ignition process. This gives us the opportunity to formulate a simple zero-dimensional model with detailed chemical kinetics for the calculations of the ignition process. Ignition calculations using this model have predicted a high sensitivity to fluctuations in temperature and fuel compositions. These predictions have later been confirmed by experiments. Partially stirred plug flow reactor (PaSPFR) can be used to conquer the assumption of homogeneity. The assumption is replaced by that of statistical homogeneity and thus statistical fluctuations caused by inhomogeneities can be studied. However, the CPU-time needed for this approach is increased considerably and the usage of mechanism reduction becomes evident. In this paper, we demonstrate how a reduced mechanism for natural gas as fuel is derived automatically. The original mechanism by Warnatz (589 reactions, 53 species) is first reduced to a skeletal mechanism (481 reactions, 43 species). By introduction of the quasi steady state assumption, the skeletal mechanism is reduced further to 23 species and 20 global reactions. The accuracy of the final mechanism is demonstrated using the stochastic reactor tool for an HCCI engine.


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