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In the present work, a system approach to the tribological optimization of passenger car engines is demonstrated. Experimental data and simulation results are presented to demonstrate the role of surface specifications, ring pack, and lubricant on the piston/bore tribology. The importance of in-design “pairing” of low-viscosity motor oils with the ring pack and the cylinder bore characteristics in order to achieve maximum reduction in GHG emissions and improvement in fuel economy without sacrificing the endurance is elucidated. Earlier motored friction data for two different gasoline engines - Ford Duratec and Mercedes Benz M133 - using motor oils of different viscosity grades are now rationalized using AVL EXCITE® piston/bore tribology simulations. The main difference between the engines was the cylinder bore surface: honed cast iron vs thermally sprayed, and the valve train type: direct-acting mechanical bucket (DAMB) vs roller finger follower (RFF).

The present study looks into different possibilities for tribological optimization of the piston/bore system in heavy duty diesel engines. Both component rig tests and numerical simulations are used to understand the roles of surface specifications, ring pack, and lubricant in the piston/bore tribology. Run-in dynamics, friction, wear and combustion chamber sealing are considered. The performance of cylinder liners produced using a conventional plateau honing technology and a novel mechanochemical surface finishing process - ANS Triboconditioning® - is compared and the importance of in-design “pairing” of low-viscosity motor oils with the ring pack and the cylinder bore characteristics in order to achieve maximum improvement in fuel economy without sacrificing the endurance highlighted. A special emphasis is made on studying morphological changes in the cylinder bore surface during the honing, run-in and Triboconditioning® processes.

Recently, Gasoline Direct Injection (GDI) engine has reached mass production. Fuel economy up to 35% is claimed, at urban driving conditions, by using stratified charge combustion. It also reduces HC emissions at cold start. Most of the car manufactures are researching GDI or even intend to produce it in the near future. If the promised goals are actually achieved, a great change in the development focus for automotive engines will occur. In GDI engines, ultra lean burn, stratified charge combustion is achieved by injecting fuel directly into the chamber during compression stroke (“late Injection”). In contrast, at higher power conditions, the GDI operates in homogeneous charge and fuel is injected during intake stroke (“early injection”). This paper intends to summarize some information about Gasoline Direct Injection engines and possible effects on Piston rings. First, some basic concepts about combustion, judged to be necessary to understand GDI engines, are introduced.

This work compares the typical manufacturing process of cast iron piston rings with chromium or molybdenum coating with the more recent nitriding steel process. Environmental impact of the processes is estimated by their material losses, consumption of energy and hazardous waste. Despite all technological development, the nowadays production process of a typical piston ring still implies that the finished part has only 30% of the iron initially cast. A more recent design, nitrided steel piston ring, reduces substantially material losses during the part manufacturing. It also substitutes high polluter processes as chromium plating or metal spray for the lower polluter gas nitriding. Production of Nitrided Steel Rings (NSR) uses 40% less energy, needs 78% less raw material and produces almost 10 times less hazardous waste. NSR has significant lower environmental impact in comparison with the traditional Coated Iron Ring (CIR). NSR also has environmental advantages during use.

In lubricating and specialty oil industries, blending is routinely used to convert a finite number of distillation cuts produced by a refinery into a large number of final products matching given specifications regarding viscosity, flash point, pour point or other properties of interest. To find the right component ratio for a blend, empirical or semi-empirical equations linking blend characteristics to those of the individual components are used. Mathematically, the problem of finding the right blend composition boils down to solving a system of equations, often non-linear ones, linking the desired properties of the blend with the properties and percentage of the blend components. This approach can easily be extended to crankcase lubricants, in which case major blend constituents are base oils, additive packages, and viscosity index improvers. Artificial intelligence (AI) tools allow accurate predictions of the basic physicochemical properties of such blends.

Many countries are introducing fuel economy regulations in order to reduce the average emissions of light duty vehicles, since fuel consumption of vehicles is an important factor in air pollution. The lubricant has a significant role in reducing friction losses hence the fuel consumption, but the impact depends on the engine operation regime and the manner in which the lubricant components work together to change frictional properties. Different driving cycles are used by different countries and organizations to measure fuel consumption. The most common driving cycles are the European NEDC and the North American FTP-75 vehicle transient cycles. Fuel economy at full load and BSFC (Brake Specific Fuel consumption) are also common methods of measuring engine fuel economy.