Multiobjective optimization of thermohydrodynamic journal bearing using MOPSO algorithm

Abstract

This article focuses on the use of multiobjective particle swarm optimization algorithm in combination with the thermohydrodynamic governing equations of fluid film (i.e. momentum and energy equations) in developing an efficient design method to optimize hydrodynamic partial pad journal bearings, for the first time. The governing equations are solved by using the central difference technique with a successive over relaxation scheme. In the simulation, the lubricant viscosity is changed with the temperature variation in whole fluid film. In this problem, the bearing power loss, the minimum oil film thickness, and the maximum oil temperature are selected as three objective functions and the radial clearance and length-to-diameter ratio are considered as two important design variables. The results of the objective functions are presented in tabular and Pareto-front curves. Further, the effect of bearing speed, bearing load, and inlet oil temperature on the mentioned objective functions is illustrated.

Numerical study and parameter optimization of partial journal bearing using MOPSO algorithm

“…The programming code is similar to the one used and validated in the study by. Akbarzadeh 23 and Akbarzadeh et al 12 Besides, for optimizing procedure of the solver, another programming code (written in FORTRAN) has been developed of which algorithm is reported by a flowchart in Figure 2.…”

“…Results of the optimization process. 4,6,12,15 Design Figure 6. Results of the optimization process.…”

“…In the problem, the design variables such as the oil viscosity and radial clearance were determined to minimize power loss. In 2017, P. Akbarzadeh et al 12 found the optimal performance of partial pad journal bearings using particle swarm optimization algorithm in combination with the thermal-hydrodynamic governing equations of the fluid film (i.e. momentum and energy equations).…”

Analysis of nonlinear viscoelastic lubrication using Giesekus constitutive equation

“…Raimondi and Boyd [5][6][7] with helping Reynolds equation performed some numerical studies in the field of journal bearings. After that, many researches developed the lubrication theory and implemented it to analyze the performance of various types of bearings using Newtonian lubricant model such as Raimondi, 8 Dowson, 9 Malik, 10 Elsharkawy, 11 Shah and Bhat, 12 Shenoy and Pai, 13 Gustavo et al, 14 Sfyris and Chasalevris, 15,16 Rao et al, 17 Ram and Sharma, 18,19 Jang and Khonsari, 20 Akbarzadeh, 21 Gong et al, 22 Akbarzadeh et al, 23 Novotny´et al, 24 Li et al, 25 Novotny´et al, 26 Yu et al, 27 to name a few. In fact, these studies played a key role in the development of mathematical modeling for hydrodynamic journal/ thrust/sliding bearings and the increase of the accuracy of computational methods and their adaptation to experimental results.…”

Influence of bearing surface irregularities on hybrid slot-entry journal bearing with electrically conducting lubricant

“…The study reported that the pivot position, preload factor, pad number, and speed of shaft is greatly influences the performance of journal bearing. Akbarzadeh et al 12 used the multi-objective particle swarm optimization algorithm for solving the partial pad hydrodynamic journal bearings problem. The optimization results were depicted in the form of Pareto curves/tabular form and the effect on pad temperature, minimum oil film thickness and frictional power loss studied.…”