Lubrication efficiency of crankpin bearing using square-cylindrical textures of partial textures optimized by genetic algorithm

Abstract

Purpose This paper aims to propose an optimal design of the partial textures in the mixed lubrication regime of the crankpin bearing (CB) to maximize the CB's lubrication efficiency. Design/methodology/approach Based on a hybrid model between the slider-crank-mechanism dynamic and CB lubrication, the square-cylindrical textures (SCT) of partial textures designed on the CB’s mixed lubrication regime are researched. The effect of the density distributions of partial textures on CB’s lubrication efficiency is then evaluated via two indices of increasing the oil film pressure (p) and decreasing the frictional force (Ff) of the CB. The SCT’s geometrical dimensions are then optimized by the genetic algorithm to further improve the CB’s lubrication efficiency. Findings The results show that the SCT of partial textures optimized by the genetic algorithm has an obvious effect on enhancing CB’s lubrication efficiency. Especially, with the CB using the optimal SCT of partial textures (4 × 6), the maximum p is significantly increased by 3.7% and 8.2%, concurrently, the maximum Ff is evidently reduced by 9.5% and 21.6% in comparison with the SCT of partial textures (4 × 6) without optimization and the SCT of full textures (12 × 6) designed throughout the CB’s bearing surface, respectively. Originality/value The application of the optimal SCT of partial textures on the bearing surface not only is simple for the design-manufacturing process and maximizes CB’s lubrication efficiency but also can reduce the machining time, save cost and ensure the durability of the bearing compared to use the full textures designed throughout the CB’s bearing surface.

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“…12 To solve these issues, the different isolation mounts of the HM, pneumatic mounts, and combined pneumatic-hydraulic mounts were also proposed to improve the ride comfort of the off-road vibratory roller. 10,11,13,14 Based on the genetic algorithm (GA) and fuzzy-PID control, [15][16][17][18] the nonlinear damping force of the HM used on the off-road vibratory roller cab was then optimized and controlled. 19 The results showed that both the vertical driver's seat acceleration and the cab's pitching acceleration were significantly reduced by using the semi-active cab's HM.…”

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Effects of differently shaped textures on the tribological properties of static and dynamic pressure thrust bearings and multiobjective optimization

“…Comparing the textures of different shapes, they found that the flat texture showed the best loading capacity and the smallest friction coefficient. Xu et al (2021) studied the influence of local texture on the oil film pressure and friction coefficient of bearings and optimized the texture parameters through a genetic algorithm (GA). The results showed that, compared with a smooth surface, the optimized texture increased the oil film pressure by 8.2% and reduced the friction coefficient by 21.6%.…”