Numerical Simulation of the Profile Influence on the Conrod Bearings Performance

Peixoto, Vinícius; Zottin, Walter

doi:10.4271/2004-01-0600

Cited by 6 publications

(2 citation statements)

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“…Numerous studies on the modeling, simulation, and shape design of the main bearing of the engine have been conducted [4][5][6][7][8][9][10]. The simulation results showed that the bearing performance strongly depends on the used profile [4].…”

Section: Introductionmentioning

confidence: 99%

“…The results indicated that the lemon-shaped profile has better performance than the cylindrical one. A numerical simulation performed by Peixoto and Zottin [7] indicated that the axial profile leads to the migration of the support region from the bearing edge to the center, thereby improving the oil film distribution and reducing the POFP and PACP. Mordente et al [8] showed that the local load on the bearing edge can be reduced by introducing an axial profile through numerical simulation, thereby resulting in a uniform oil film thickness and 10 % improvement in bearing fatigue strength.…”

Section: Introductionmentioning

confidence: 99%

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Effects of axial profile on the main bearing performance of internal combustion engine and its optimization using multiobjective optimization algorithms

2021

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The effects of axial profile parameters on the main bearing performance of the engine were investigated through the numerical method based on elasto-hydrodynamic lubrication theory, average flow, and asperity contact model. Results show that quadratic profile significantly improves the bearing performance, and the influence of profile varies with its width-toheight ratio. The performance is most improved when the ratio is between 0.8 and 2. An artificial neural network fitting model was developed to predict bearing performance, and multiobjective optimum analyses were performed using genetic algorithm and particle swarm optimization. The optimization goals are average peak asperity contact pressure and average total friction loss. The obtained Pareto front roughly includes three groups, and solutions in group 1 achieve a balance of the two goals, with a width-to-height ratio of 1.5-2. Finally, bearing friction tests were conducted on four profiled bearings to verify the simulation model and optimization results.

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