Analysis of Crankshaft Bearings Using a Mass Conserving Algorithm

Paranjpe, Rohit S.; Goenka, P. K.

doi:10.1080/10402009008981963

Cited by 53 publications

(16 citation statements)

References 6 publications

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“…Gumbel condition neglects the recirculating flow and assumes only half bearing. To obtain reliable prediction of lubricant flow and power loss, film rupture and film reformation need to be properly accounted [11][12][13][14]. Elrod [11] developed a generalized form of the Reynolds equation incorporating switch function.…”

Section: Fluid Film Pressure Modellingmentioning

confidence: 99%

Multiobjective optimization of journal bearing using mass conserving and genetic algorithms

Hirani

2005

Proceedings of the Institution of Mechanical Engineers, Part J:

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An optimal design of hydrodynamic journal bearing using mass conserving thermal analysis and genetic algorithms is presented. Simultaneous minimization of power loss and oil flow, subjected to constraints on film thickness, film pressure, and temperature rise between the bearing surfaces, is the objective of this study. The radial clearance, L/D ratio, oil groove location, feed pressure, and the oil viscosity are the design variables. The rank-based genetic algorithm is used to deal with the discrete variables and multimodal objective functions and to capture Pareto optimal points. In view of computation economics and robustness, initial guesses of oil film pressure distribution, eccentricity ratio, and attitude angle obtained by two-dimensional analytical approach are provided for mass conserving thermal analysis. The complete optimization strategy is illustrated by a step-by-step (in four steps) approach. A comparative study of thermal and isothermal analyses is illustrated. Effects of constraints on temperature, pressure, and film thickness on the design vector are enlightened. The mass conserving thermal analysis is validated against experimental results. Pareto optimal fronts for various operating conditions are presented.

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Section: Fluid Film Pressure Modellingmentioning

confidence: 99%

Multiobjective optimization of journal bearing using mass conserving and genetic algorithms

Hirani

2005

Proceedings of the Institution of Mechanical Engineers, Part J:

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“…In multibody dynamic analysis, the Guyan/Craig-Bampton method is used to reduce the freedom degrees of the crankshaft [19,20], and Equation (1) can be rewritten as follows:…”

Section: Multibody Dynamic Theorymentioning

confidence: 99%

A Method for Monitoring Lubrication Conditions of Journal Bearings in a Diesel Engine Based on Contact Potential

2020

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Wear of the journal bearings in a diesel engine is usually caused by asperity contact. Increased contact potential is caused by the asperity contact between the journal bearing and the shell. This paper analyzes the relationship between the contact potential and asperity contact and presents a method based on contact potential to monitor the bearing wear caused by asperity contact. A thermo-elastic hydrodynamic lubrication (THL) model of the journal bearing on the test bench was established and was verified by measuring its axis orbit. The asperity contact proportion was calculated based on this THL model, and its relationship with the measured contact potential was determined. The main contribution of this paper is to present a new method for monitoring the lubrication conditions of journal bearings in a diesel engine based on contact potential. The results showed that (a) when the minimum oil film thickness was less than 5 μm, asperity contact occurred between the bearing shell and the journal, which led to a sharp increase in contact pressure and a rapid increase in friction power consumption. Further, (b) there was a positive correlation between contact potential and asperity contact. The contact potential was greater than 0.75 mv when asperity contact occurred. These results proved that asperity contact could be accurately monitored using the contact potential, and the feasibility of using the contact potential to monitor the lubrication condition of a bearing was verified.

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“…Other important parameters are the load f = ( f x , f z ) T (see Fig. 1(a)) where [4] and the attitude angle ϕ which is ϕ = tan −1 ( f y / f z ). Film rupture and reformation effects have to be considered in journal bearing computations.…”

Section: Governing Equationsmentioning

confidence: 99%

“…A numerical solution of the thermal problem in journal bearings can be broadly classified into three main categories -those that use the finite volume (FV), finite difference (FD), and finite element (FE) methods. Significant contributions in the former include the work of Paranjpe and Goenka (4) and Paranjpe and Han (5), (6). Stachowiak and Batchelor (7) present a numerical FD model while Booker and Huebner (8), Goenka (9), Labouff and Booker (10), Bayada,et al (11), and Kucinschi, et al (12) use FE.…”

Section: Introductionmentioning

confidence: 98%

Hydrodynamic and Thermal Behavior of Journal Bearings using Upwind Petrov-Galerkin FEM

Zengeya

Gadala

Segal

2007

Tribology Transactions

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A novel approach to modeling plain journal bearings is presented. The journal is assumed to be cut open at the oil supply groove and modeled in Cartesian coordinates. The streamline upwind Petrov-Galerkin (SUPG) finite element method is used to develop the three-dimensional model. The model is validated using Boncompain, Costa, and Dowson's experimental data and compared to Khonsari's analytical method. The maximum deviation from the measured temperatures is 10 per cent for Costa's data and the predictions of 51.2 • C from the model are 0.3 • C lower than Dowson's experimentally measured peak temperature. The model shows rapid convergence, stabilizing in only three iterations. The cavitation interface thermal boundary conditions need not be specified. Side leakage predictions are within 2.8 percent of the measured value whereas Martin's analytical method achieves an accuracy of 11.2 percent.

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Analysis of Crankshaft Bearings Using a Mass Conserving Algorithm

Cited by 53 publications

References 6 publications

Multiobjective optimization of journal bearing using mass conserving and genetic algorithms

Multiobjective optimization of journal bearing using mass conserving and genetic algorithms

A Method for Monitoring Lubrication Conditions of Journal Bearings in a Diesel Engine Based on Contact Potential

Hydrodynamic and Thermal Behavior of Journal Bearings using Upwind Petrov-Galerkin FEM

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