A Bench Test Procedure for Evaluating the Cylinder Liner Pitting Protection Performance of Engine Coolant Additives for Heavy Duty Diesel Engine Applications

1996 ◽  
Author(s):  
Frank A. Kelley ◽  
Earl J. McWilliams
Keyword(s):  
Diesel Engine ◽  
Test Procedure ◽  
Cylinder Liner ◽  
Bench Test ◽  
Heavy Duty ◽  
Heavy Duty Diesel Engine ◽  
Heavy Duty Diesel ◽  
Engine Coolant

Tribological assessment of NiCr, Al2O3/TiO2, and Cr3C2/NiCr coatings applied on a cylinder liner of a heavy-duty diesel engine

2020 ◽  
pp. 146808742093016
Author(s):  
Onur Biyiklioğlu ◽  
Mustafa Ertunc Tat
Keyword(s):  
Cast Iron ◽  
Diesel Engine ◽  
Wear Rate ◽  
Gray Cast Iron ◽  
Cylinder Liner ◽  
Gray Cast ◽  
Economic Evaluations ◽  
Heavy Duty ◽  
Heavy Duty Diesel Engine ◽  
Heavy Duty Diesel

Internal combustion engines consume about 90% of fuel refined from crude oil which supplies 30% of the annual global flow of energy. Heavy-duty diesel engines are the primary source of power used in highways, marine, railroads, and power stations. The right coating can improve the tribological properties of cylinder liners and increase the mechanical efficiency of an engine. Also, it can help to extend the maintenance periods, and enhance the reliability of the vehicles. In this research, tribological and economic evaluations were performed for coated and uncoated substrates from a cylinder liner of a heavy-duty diesel engine, aiming to lower friction, wear rate, and maintenance cost. A reciprocating friction test was conducted under dry condition using Wolfram carbide (tungsten carbide) ball applied a 10 N normal load on a ball on disk geometry. The cylinder liner was made of gray cast iron, and the substrates obtained were coated with three different coating materials (Cr3C2/NiCr, NiCr, and Al2O3/TiO2) through the thermal spray and high-velocity oxy-fuel coating process. Tribological evaluations showed that the substrates coded with Al2O3/TiO2 and Cr3C2/NiCr had the lowest friction coefficient and wear rate. The most economical coating was Al2O3/TiO2, being able to supply about 61% lower coefficient of friction and 94% less wear rate relative to the uncoated sample, for the price of one-third of the Cr3C2/NiCr coating and one half of a new gray cast iron cylinder liner.

scholarly journals The Influence of High Cetane Blending Components on Emissions From a Heavy-Duty Diesel Engine With EGR

2004 ◽  
Author(s):  
W. Stuart Neill ◽  
Wallace L. Chippior ◽  
Ken Mitchell ◽  
Craig Faibridge ◽  
Rene´ Pigeon ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Methyl Ester ◽  
Test Procedure ◽  
Cetane Number ◽  
Exhaust Emissions ◽  
Nox Emissions ◽  
Heavy Duty ◽  
Heavy Duty Diesel Engine ◽  
Heavy Duty Diesel ◽  
Soy Methyl Ester

The exhaust emissions form a single-cylinder version of a heavy-duty diesel engine with exhaust gas recirculation (EGR) were measured with eight high-cetane components blended into an ultra-low sulphur diesel base fuel. the blending components evaluated were conventional nitrate and peroxide cetane improver additives, paraffins from two sources, three ethers, and soy methyl ester. The blending components were used to increase the cetane number of a base fuel by ten numbers, from 44 to 54. Exhaust emissions were measured using the AVL eight-mode steady-state test procedure. PM and NOx emissions from the engine were fairly insensitive to ignition quality improvement by nitrate and peroxide cetane improvers. Soy methyl ester and two of the ethers, 1,4 diethoxybutane and 2-ethoxyethyl ether, significantly reduced PM emissions, but increased ONx emissions. The two paraffinic blending components reduced both PM and NOx emissions.

Technical Note: Neural network modelling of the emissions and performance of a heavy-duty diesel engine

2000 ◽  
Vol 214 (2) ◽  
pp. 111-126 ◽  
Author(s):  
G. J. Thompson ◽  
C. M. Atkinson ◽  
N. N. Clark ◽  
T. W. Long ◽  
E Hanzevack
Keyword(s):  
Neural Network ◽  
Diesel Engine ◽  
Adaptive Learning ◽  
Internal Combustion Engines ◽  
Test Procedure ◽  
Exhaust Emissions ◽  
Neural Net ◽  
Heavy Duty ◽  
Heavy Duty Diesel Engine ◽  
Heavy Duty Diesel

Internal combustion engines are being required to comply with increasingly stringent government exhaust emissions regulations. Compression ignition (CI) piston engines will continue to be used in cost-sensitive fuel applications such as in heavy-duty buses and trucks, power generation, locomotives and off-highway applications, and will find application in hybrid electric vehicles. Close control of combustion in these engines will be essential to achieve ever-increasing efficiency improvements while meeting increasingly stringent emissions standards. The engines of the future will require significantly more complex control than existing map-based control strategies, having many more degrees of freedom than those of today. Neural network (NN)-based engine modelling offers the potential for a multidimensional, adaptive, learning control system that does not require knowledge of the governing equations for engine performance or the combustion kinetics of emissions formation that a conventional map-based engine model requires. The application of a neural network to model the output torque and exhaust emissions from a modern heavy-duty diesel engine (Navistar T444E) is shown to be able to predict the continuous torque and exhaust emissions from a heavy-duty diesel engine for the Federal heavy-duty engine transient test procedure (FTP) cycle and two random cycles to within 5 per cent of their measured values after only 100 min of transient dynamometer training. Applications of such a neural net model include emissions virtual sensing, on-board diagnostics (OBD) and engine control strategy optimization.

Texture-induced effects causing reduction of friction in mixed lubrication for twin land oil control rings

2017 ◽  
Vol 232 (2) ◽  
pp. 166-178 ◽  
Author(s):  
Markus Söderfjäll ◽  
Roland Larsson ◽  
Pär Marklund ◽  
Andreas Almqvist
Keyword(s):  
Numerical Simulation ◽  
Diesel Engine ◽  
Major Part ◽  
Cylinder Liner ◽  
Mixed Lubrication ◽  
Heavy Duty ◽  
Cavitation Model ◽  
Heavy Duty Diesel Engine ◽  
Liner Surface ◽  
Heavy Duty Diesel

Piston rings are responsible for a major part of the frictional losses in a heavy-duty diesel engine. Such losses can be reduced by applying texture, such as dimples, on the cylinder liner surface. This paper investigates the effect of such texture on the friction between a land of the oil control ring and a textured cylinder liner via numerical simulation. A simulation model considering inertia and mixed lubrication together with a mass-conserving cavitation model is developed. The model is used to determine the dimple parameters that yield the lowest amount of friction for a specific oil control ring of a heavy-duty diesel engine.

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