Experimental comparative study on combustion and particle emission of n-butanol and gasoline adopting different injection approaches in a spark engine equipped with dual-injection system. (1st January 2018)
- Record Type:
- Journal Article
- Title:
- Experimental comparative study on combustion and particle emission of n-butanol and gasoline adopting different injection approaches in a spark engine equipped with dual-injection system. (1st January 2018)
- Main Title:
- Experimental comparative study on combustion and particle emission of n-butanol and gasoline adopting different injection approaches in a spark engine equipped with dual-injection system
- Authors:
- Wang, Ye
Yu, Xiumin
Ding, Yunkang
Du, Yaodong
Chen, Zhao
Zuo, Xiongyinan - Abstract:
- Graphical abstract: Highlights: Gasoline blended with n-butanol can reduce PN and increase IMEP of GDI engine. N-butanol-gasoline dual injection can effectively decrease PN compared with GDI. N-GxDI shows greater potential in reducing PN than G-NxDI, which owns higher IMEP. N-GxDI with 40% gasoline DI is the best method to control particle emission. Particle distribution is affected by n-butanol blended fraction for various methods. Abstract: N-butanol, as a biofuel, could be one kind of engine fuel to relieve energy crisis and reduce particle emission. In this paper, n-butanol was applied to a spark-ignition engine equipped with dual-injection system. Three different fuel injection approaches were tried, including direct injection of gasoline and n-butanol with different volume mixing ratio (GNDI), n-butanol intake port injection combined with gasoline direct injection (N-GxDI) and gasoline intake port injection combined with n-butanol direct injection (G-NxDI), and finally the best method was recommended based on combustion and particle emission characteristics. Experiments were conducted under stoichiometric and rich mixture (excess air coefficient was at 0.9) condition to obviously present particle emission characteristics, including particle number (PN), particle matter (PM) and particle distribution. The results indicated that with the rising of n-butanol blending volume ratio (NBr) for GDNI, indicated mean effective pressure (IMEP) increased firstly and decreasedGraphical abstract: Highlights: Gasoline blended with n-butanol can reduce PN and increase IMEP of GDI engine. N-butanol-gasoline dual injection can effectively decrease PN compared with GDI. N-GxDI shows greater potential in reducing PN than G-NxDI, which owns higher IMEP. N-GxDI with 40% gasoline DI is the best method to control particle emission. Particle distribution is affected by n-butanol blended fraction for various methods. Abstract: N-butanol, as a biofuel, could be one kind of engine fuel to relieve energy crisis and reduce particle emission. In this paper, n-butanol was applied to a spark-ignition engine equipped with dual-injection system. Three different fuel injection approaches were tried, including direct injection of gasoline and n-butanol with different volume mixing ratio (GNDI), n-butanol intake port injection combined with gasoline direct injection (N-GxDI) and gasoline intake port injection combined with n-butanol direct injection (G-NxDI), and finally the best method was recommended based on combustion and particle emission characteristics. Experiments were conducted under stoichiometric and rich mixture (excess air coefficient was at 0.9) condition to obviously present particle emission characteristics, including particle number (PN), particle matter (PM) and particle distribution. The results indicated that with the rising of n-butanol blending volume ratio (NBr) for GDNI, indicated mean effective pressure (IMEP) increased firstly and decreased afterward, total particle matter (TPM) decreased constantly, however, total particle number (TPN) and nucleation mode particle number (NPN) dropt first and then rose, accumulation mode particle number (APN) increased continuously. 20% was regarded as the best NBr, because it had the highest IMEP, TPN could be decreased by 8.63%, and TPM could be decreased by 30.88% compared with GDI under stoichiometric condition; With the increasing of fuel (gasoline or n-butanol) direct injection ratio (DIr) for G-NxDI and N-GxDI, IMEP decreased constantly, TPM increased continually, however, TPN and NPN both decreased firstly and increased afterward, APN increased endlessly. There was also one best DIr to achieve the lowest TPN; Comparing three injection approaches, N-GxDI with 40% DIr was the best, because it owned the lowest TPN which was decreased by 51.07% and TPM could almost be ignored compared with GDI under stoichiometric condition. However, this approach had to sacrifice 1% decrease of IMEP compared with pure gasoline intake port injection, while the value was still above GDI. … (more)
- Is Part Of:
- Fuel. Volume 211(2018)
- Journal:
- Fuel
- Issue:
- Volume 211(2018)
- Issue Display:
- Volume 211, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 211
- Issue:
- 2018
- Issue Sort Value:
- 2018-0211-2018-0000
- Page Start:
- 837
- Page End:
- 849
- Publication Date:
- 2018-01-01
- Subjects:
- APN accumulation mode particle number -- BTDC before top dead centre -- CA crank angle (0° CA refers to top dead center of compression stroke) -- DIr fuel (gasoline or n-butanol) direct injection ratio -- Dp diameter parameter -- DMF dimethyl formamide -- GDI gasoline direct injection -- GNDI direct injection of gasoline and N-butanol with different volume mixing ratio -- G-NxDI gasoline intake port injection combined with N-butanol direct injection -- GPI gasoline port injection -- NBr n-butanol blending volume ratio -- NDI n-butanol direct injection -- NPI n-butanol port injection -- NPN nucleation mode particle number -- N-GxDI n-butanol intake port injection combined with gasoline direct injection -- Pd indicated mean effective pressure decreased percentage -- PM particle matter -- PN particle number -- TPM total particle matter -- TPN total particle number -- λ excess air coefficient
N-butanol -- Dual-injection engine -- Injection approach -- Particle number -- Particle matter -- Particle distribution
Fuel -- Periodicals
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Coal
Fuel
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662.6 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/00162361 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.fuel.2017.09.108 ↗
- Languages:
- English
- ISSNs:
- 0016-2361
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- Legaldeposit
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