CFD modeling of cavitation flow in journal bearing lubrication (2024)

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Tribology Letters

Surface and tribological characteristics of tribofilms formed in the boundary lubrication regime with application to internal combustion engines

2003 •

Martin Priest

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Braham Prakash

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Effect of dispersant concentration with friction modifiers and anti-wear additives on the tribofilm composition and boundary friction

2021 •

Ramin Rahmani

To extend drain intervals and improve efficiency, new engine oils with increased dispersant concentration and reduced viscosity are required. Low viscosity engine oils can increase the prevalence of boundary friction at low temperature and increase its severity at higher temperatures. As a result, combinations of organic and inorganic friction modifiers (FM) will be used to reduce boundary friction across a range of temperatures, also preventing damage to vehicle catalysts. This paper presents an experimental case study of such new generation of fully-formulated engine lubricants with varying concentrations of polyisobutylene succinimide dispersant, organic and inorganic FM. Representative conditions pertaining to those encountered at the top dead centre reversal of the piston compression ring-cylinder liner contact are created, and the generated friction measured through use of a sliding-strip tribometry. Subsequently, X-Ray Photoelectron Spectroscopy (XPS) is used to determine the composition of the formed surface tribofilms in order to explain the observed frictional characteristics. The key interactions and frictional behaviour of the dispersant and friction modifiers are highlighted across a range of operating temperatures.

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The Tribological Effects of Lubricating Oil Containing Nanometer-Scale Diamond Particles

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Synergistic effect of a coating and nano-oil lubricant on the tribological properties of friction surfaces

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Tribological behavior of vegetable oil-based lubricants with nanoparticles of oxides in boundary lubrication conditions

Braulio Barros

This work studied the development of vegetable based lubricants and the addition of oxides nanoparticles (ZnO and CuO) as additive for extreme pressure (EP), exploring the EP and oil base influence in tribological behavior. The results showed that with the addition of nanoparticles to conventional lubricant, the tribological properties can be significantly improved. A smoother and more compact tribofilm has formed on the worn surface, which is responsible for the further reduced friction and wear. Also, lubricants developed from modified vegetable oil can replace mineral oil, improving the tribological and environmental characteristics. However, the addition of nanoparticles in vegetable base lubricants is not beneficial to wear reduction.

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8th International Colloquium, Esslingen "Tribology 2000"

A MOLECULAR MODEL FOR BOUNDARY LUBRICATION: ON THE BASICS OF MOLECULAR TRIBOLOGY

1992 •

Hector J Franco

A boundary lubrication regime model in which almost all the friction and wear are due to physical interaction processes in the interface between tribological surfaces is introduced. In this model the operation conditions for the tribological system are related with its solid elements properties and the physical-chemical characteristics of the lubricant. This generic lubricant has been considered as formed by a modified base stock and an anti-wear/extreme pressure a.w./e.p. additive. In this picture, molecular sizes and adsorption energies play an important role in the interface where the macroscopic contact geometry is taken into account based in the Hertz's theory for the calculation of the surface-surface direct real contact area under applied load. The block on ring FALEX-TIMKEN tester was used for measurements of friction force at different temperatures as function of the sliding velocity and applied mechanical load. These tests were carried out using three different formulated lubricant oils. Also, measurements of wear as function of the applied load were done. Once the generic additive adsorption energy and the effective base stock molecular size were estimated, they were introduced in the calculation for simulation. The model reproduces the experimental wear trends at low temperatures and explanations of data features can be drawn. Chemical wear may be involved as shown by the estimated values for the energies of adsorption. However, the model under estimates the measure of wear at high temperatures owing to the explicit neglection of chemical wear processes.

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Chemistry and Technology of Fuels and Oils

Effect of the soap cation on tribological characteristics of lubricating material

1989 •

Hoolo Nyane

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CFD modeling of cavitation flow in journal bearing lubrication (2024)

FAQs

How does a CFD solver work? ›

In a CFD software analysis, fluid flow and its associated physical properties, such as velocity, pressure, viscosity, density, and temperature, are calculated based on defined operating conditions. In order to arrive at an accurate, physical solution, these quantities are calculated simultaneously.

What are the three stages of CFD software? ›

Each stage is essential and should be approached with diligence in mind.
  • Preprocessing. Stage. The preprocessing stage is where the user sets up the simulation environment. ...
  • Solver. Stage. ...
  • Post-processing. Stage. ...
  • Conclusion. The CFD simulation process comprises three primary stages: preprocessing, solver, and post-processing.

How to do CFD analysis? ›

CFD Analysis Process
  1. Forumulate the Flow Problem.
  2. Model the Geometry and Flow Domain.
  3. Establish the Boundary and Initial Conditions.
  4. Generate the Grid.
  5. Establish the Simulation Strategy.
  6. Establish the Input Parameters and Files.
  7. Perform the Simulation.
  8. Monitor the Simulation for Completion.
Feb 10, 2021

What is computational fluid dynamics? ›

Computational fluid dynamics (CFD) is a science that, with the help of digital computers, produces quantitative predictions of fluid-flow phenomena based on the conservation laws (conservation of mass, momentum, and energy) governing fluid motion.

How to write your own CFD solver? ›

The document begins by reviewing the governing equations and then discusses the various components needed to form a simple CFD solver. where u = [u, v] is the velocity vector, t is time, ρ is the density, p is pressure, and ν is the kinematic viscosity.

How to solve a CFD problem? ›

Discover the world's research
  1. Define the modeling goals. ...
  2. Create the model geometry and grid. ...
  3. Set up the solver and physical models. ...
  4. Compute and monitor the solution. ...
  5. Examine and save the results. ...
  6. Consider revisions to the numerical or physical model parameters, if necessary.
Sep 13, 2020

What is the workflow of CFD? ›

The workflow for modeling fluid volumes in CFD is similar to FEA in many ways. You start by thinking about what you want to study and what the expected results are, build a model, apply boundary conditions, create an analysis mesh, simulate it, and interpret the results.

How does CFD modeling work? ›

By using numerical approximations, CFD turns the full differential equations into systems of linear equations, which are then solved to obtain field values such as velocities, pressures, and temperatures on a finite (but often large) number of points in the domain of the problem.

How does CFD algorithm work? ›

CFD modelling

At the heart of the mathematical models used in CFD are the Navier Stokes equations. These are a set of Partial Differential Equations (PDE) which give flow velocity in three dimensions and can be used to calculate other parameters such as pressure and temperature.

Is CFD analysis hard? ›

Building CFD Competency

CFD is inherently complex because it combines several components, each of which are challenging in their own right: fluid dynamics and physical modelling; geometry and meshing; numerical methods; data analysis; and, computing and programming.

Can I learn CFD on my own? ›

Learning CFD can be done by reading books and textbooks that explain the concepts and methods of CFD in detail. Such books can provide you with a comprehensive and systematic overview of CFD, as well as examples and exercises to test your knowledge and skills.

What equation does CFD use? ›

The Navier-Stokes equations are the basic governing equations for a viscous, heat conducting fluid. It is a vector equation obtained by applying Newton's Law of Motion to a fluid element and is also called the momentum equation.

What is the math behind CFD? ›

The fundamental basis of almost all CFD problems is the Navier–Stokes equations, which define many single-phase (gas or liquid, but not both) fluid flows.

Why is CFD important in fluid flow? ›

CFD simulations can provide a deeper understanding of the flow behavior and physical phenomena within a system, allowing engineers and scientists to make informed design decisions.

What is a CFD solver? ›

Fluid dynamics is involved with physical laws in the form of partial differential equations. Sophisticated CFD solvers transform these laws into algebraical equations and are able to efficiently solve these equations numerically.

How does CFD simulation work? ›

By using numerical approximations, CFD turns the full differential equations into systems of linear equations, which are then solved to obtain field values such as velocities, pressures, and temperatures on a finite (but often large) number of points in the domain of the problem.

What are CFDs and how do they work? ›

CFD stands for 'contract for difference', a type of derivative product that you can use to speculate on the future direction of a market's price. When trading via CFDs, you don't take ownership of the underlying asset, which means you can take advantage of rising and falling markets by going long or short.

How does Fluent Solver work? ›

How does ANSYS Fluent work? ANSYS Fluent uses the finite volume method to solve the governing equations of fluid flow and heat transfer. This involves dividing the domain of the simulation into a series of small, interconnected control volumes or cells.

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