Abstract:A hydrodynamic lubrication analysis for connecting rod big-end bearing is conducted. The effects of engine speed, operating condition, lubricant viscosity and oil temperature on tribological performance of big-end bearing have been examined. Force equilibrium is solved to define instantaneous eccentricity between journal and bearing to have accurate estimation of oil film thickness at interface of connecting rod big-end bearing and crankpin. Connecting rod big-end is treated as π film hydrodynamic journa… Show more
“…The similar behaviour has also been reported by Razavykia et al. 48 that the power loss decreases with the reduction in viscosity and moreover, temperature rise is more for higher viscosity oils at higher eccentricity ratios. Further, it is evident that power loss is increased with increase in concentration of nanoparticles and this is attributed to the fact that on increasing the nanoparticle concentration, resistance offered by viscous force get increased which results increase in friction force and hence power loss as explained in Kalakada et al.…”
Section: Resultssupporting
confidence: 89%
“…It has been found that power loss increases with increase in viscosity of lubricants but its value is slightly decreased with increase in eccentricity ratio for LO2 and LO3 based lubricants having higher viscosities. The similar behaviour has also been reported by Razavykia et al 48 that the power loss decreases with the reduction in viscosity and moreover, temperature rise is more for higher viscosity oils at higher eccentricity ratios. Further, it is evident that power loss is increased with increase in concentration of nanoparticles and this is attributed to the fact that on increasing the nanoparticle concentration, resistance offered by viscous force get increased which results increase in friction force and hence power loss as explained in Kalakada et al 21 Although direct comparison of static performance characteristics results obtained in this study cannot be substantially made due to the considerations of different journal bearing configurations and operating parameters in the literature, some researchers have studied the effect of nanolubricants on THD analysis of journal bearings.…”
Journal bearings of different configurations have been extensively used in turbomachinery and power generating equipments. Although circular bearings have simplest configuration and commonly used journal bearings, non-circular bearings such as multi-lobe and elliptical bearings have an added advantage of lower lubrication film temperature alongwith stable operation. In this study, static thermal performance of pure elliptical bearing lubricated with nanoparticles based mineral oils has been studied at different eccentricity ratios and bearing speeds. Two types of nanoparticles, namely, CuO and TiO2 with 0.5, 1.0 and 2.0 wt.% concentrations have been separately added in three different viscosity grades of oils. The effect of nanoparticles on thermo-physical properties of oil was considered to compute bearing performance parameters (pressure distribution, load capacity, oil temperature and power losses). Bearing model was generated by taking into account the modified Krieger Dougherty method to determine viscosity at different combinations of oils and nanoparticles. The findings indicate the increase in maximum pressure and load capacity with addition of nanoparticles and this increase was more pronounced at higher concentrations of nanoparticles and at higher viscosity grade oils. Load capacity was found to be increased by 14.24% and 9.21% with 2 wt% concentration of TiO2 and CuO nanoparticles respectively in base oil (AW68) at eccentricity ratio of 0.7. An increase in load capacity with nanolubricants was achieved without an appreciable increase in oil temperature.
“…The similar behaviour has also been reported by Razavykia et al. 48 that the power loss decreases with the reduction in viscosity and moreover, temperature rise is more for higher viscosity oils at higher eccentricity ratios. Further, it is evident that power loss is increased with increase in concentration of nanoparticles and this is attributed to the fact that on increasing the nanoparticle concentration, resistance offered by viscous force get increased which results increase in friction force and hence power loss as explained in Kalakada et al.…”
Section: Resultssupporting
confidence: 89%
“…It has been found that power loss increases with increase in viscosity of lubricants but its value is slightly decreased with increase in eccentricity ratio for LO2 and LO3 based lubricants having higher viscosities. The similar behaviour has also been reported by Razavykia et al 48 that the power loss decreases with the reduction in viscosity and moreover, temperature rise is more for higher viscosity oils at higher eccentricity ratios. Further, it is evident that power loss is increased with increase in concentration of nanoparticles and this is attributed to the fact that on increasing the nanoparticle concentration, resistance offered by viscous force get increased which results increase in friction force and hence power loss as explained in Kalakada et al 21 Although direct comparison of static performance characteristics results obtained in this study cannot be substantially made due to the considerations of different journal bearing configurations and operating parameters in the literature, some researchers have studied the effect of nanolubricants on THD analysis of journal bearings.…”
Journal bearings of different configurations have been extensively used in turbomachinery and power generating equipments. Although circular bearings have simplest configuration and commonly used journal bearings, non-circular bearings such as multi-lobe and elliptical bearings have an added advantage of lower lubrication film temperature alongwith stable operation. In this study, static thermal performance of pure elliptical bearing lubricated with nanoparticles based mineral oils has been studied at different eccentricity ratios and bearing speeds. Two types of nanoparticles, namely, CuO and TiO2 with 0.5, 1.0 and 2.0 wt.% concentrations have been separately added in three different viscosity grades of oils. The effect of nanoparticles on thermo-physical properties of oil was considered to compute bearing performance parameters (pressure distribution, load capacity, oil temperature and power losses). Bearing model was generated by taking into account the modified Krieger Dougherty method to determine viscosity at different combinations of oils and nanoparticles. The findings indicate the increase in maximum pressure and load capacity with addition of nanoparticles and this increase was more pronounced at higher concentrations of nanoparticles and at higher viscosity grade oils. Load capacity was found to be increased by 14.24% and 9.21% with 2 wt% concentration of TiO2 and CuO nanoparticles respectively in base oil (AW68) at eccentricity ratio of 0.7. An increase in load capacity with nanolubricants was achieved without an appreciable increase in oil temperature.
“…Razavykia et al used a hydrodynamic lubrication model to evaluate the tribological performance of connecting rod big-end bearings, and the instantaneous eccentricity between the journal and bearing was calculated using Newton-Raphson's scheme. The finite difference method was applied to calculate hydrodynamic pressure at connecting rod big-end and crankpin interface as well as frictional power loss [14].…”
Aiming at the impact of bearing bushes on the lubrication and friction and wear of diesel engine connecting rod big-end bearings, a certain type of diesel engine connecting rod big-end bearing bush was taken as the research object and a multi-body dynamics numerical calculation model of the connecting rod group was built. The connecting rod big-end bearing bushes with four profiles: exponential, hyperelliptic, barrel and trapezoid were used to study the effect on bearing lubrication. The study found that the hyperelliptic bush has the best lubrication performance for the connecting rod big-end bearing. On the basis of the hyperelliptic bush, the bearing clearance, bearing width, journal oil hole diameter and oil supply pressure are used as design variables, using the Box–Behnken experimental design and radial basis function (RBF) neural network method to construct an approximate multi-objective model, which the minimum oil film thickness (abbreviated as MOFT) and average rough contact effective pressure are the objectives. A non-dominated sorting genetic algorithm (NSGA-II) is used for multi-objective optimization. The optimization results show that the bearing clearance remains basically unchanged, the bearing width, journal oil hole diameter and oil supply pressure increase, so that MOFT of the connecting rod big-end bearing rises from 1.56 μm to 1.97 μm, and the average rough contact effective pressure increases from 3.97 MPa decreases to 0.25 MPa. The research results can provide a reference for the analysis and optimization of the lubrication performance of the connecting rod big-end bearing.
“…The introduction of the counterweights produces a change in the reaction forces and in the loading diagram of each journal bearing. Therefore, once the counterweight configuration has been defined, it is of paramount importance to evaluate how this change may influence the design of the journal bearings themselves [10][11][12][13], an aspect which is, however, beyond the scope of the present work.…”
In the automotive field, the requirements in terms of carbon emissions and improved efficiency are shifting the focus of designers towards reduced engine size. As a result, the dynamic balancing of an engine with strict limitations on the number of cylinders, the weight and the available space becomes a challenging task. The present contribution aims at providing the designer with a tool capable of selecting fundamental parameters needed to correctly balance an internal combustion engine, including the masses and geometry of the elements to be added directly onto the crankshaft and onto the balancing shafts. The relevant elements that distinguish the tool from others already proposed are two. The first is the comprehensive matrix formulation which makes the tool fit for a wide variety of engine configurations. The second is an optimisation procedure that selects not only the position of the mass and centre of gravity of the counterweight but also its complete geometric configuration, thus instantaneously identifying the overall dimensions and weight of the crankshaft.
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