# CE 1501 CE 150 Fluid Mechanics G.A. Kallio Dept. of Mechanical Engineering, Mechatronic Engineering & Manufacturing Technology California State University,

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CE 1501 CE 150 Fluid Mechanics G.A. Kallio Dept. of Mechanical Engineering, Mechatronic Engineering & Manufacturing Technology California State University, Chico

CE 1502 Fluid Kinematics Reading: Munson, et al., Chapter 4

CE 1503 Introduction In this chapter we consider fluid kinematics, which addresses the behavior of fluids while they are flowing without concern of the actual forces necessary to produce the motion Specifically, we will address –fluid velocity –fluid acceleration –flow pattern description and visualization

CE 1504 Fluid Models Continuum model: fluids are a collection of fluid particles that interact with each other and surroundings; each particle contains a sufficient number of molecules such that fluid properties (e.g., velocity) can be defined. Molecular model: the motions of individual fluid molecules are accounted for; not a practical model unless fluid density is very small or flow over very small objects are considered.

CE 1505 Flow Descriptions Lagrangian description: properties of individual fluid particles are defined as a function of time as they move through the fluid; the overall fluid motion is found by solving the EOMs for all fluid particles. Eulerian description: properties are defined at fixed points in space as the fluid flows past these points; this is the most common description and yields the field representation of fluid flow.

CE 1506 The Velocity Field Consider an array of sensors that can simultaneously measure the magnitude and direction of fluid velocity at many fixed points within the flow as a function of time; in the limit of measuring velocity at all points within the flow, we would have sufficient information to define the velocity vector field:

CE 1507 The Velocity Field u, v, and w are the x, y, and z components of the velocity vector The magnitude of the velocity, or speed, is denoted by V as Velocity field may be one- (u), two- (u,v)or three- (u,v,w) dimensional Steady vs. unsteady flows:

CE 1508 Visualization of Fluid Flow Three basic types of lines used to illustrate fluid flow patterns: –Streamline: a line that is everywhere tangent to the local velocity vector at a given instant. –Pathline: a line that represents the actual path traversed by a single fluid particle. –Streakline: a line that represents the locus of fluid particles at a given instant that have earlier passed through a prescribed point.

CE 1509 Streamlines Streamlines are useful in fluid flow analysis, but are difficult to observe experimentally for unsteady flows For 2-D flows, the streamline equation can be determined by integrating the slope equation: –The resulting equation is normally written in terms of the stream function:  (x,y) = constant

CE 15010 Pathlines & Streaklines The pathline is a Lagrangian concept that can be visualized in the laboratory by “marking” a fluid particle and taking a time exposure photograph of its trajectory The streakline can be visualized in the laboratory by continuously marking all fluid particles passing through a fixed point and taking an instantaneous photograph Streamlines, pathlines, and streak- lines are identical for steady flows

CE 15011 Acceleration Field Acceleration is the time rate of change of velocity: Using the Eulerian description, we note that the total derivative of each velocity component will consist of four terms, e.g.,

CE 15012 Acceleration Field Collecting derivative terms from all velocity components, –The operator is termed the material, or substantial, derivative; it represents the rate at which a variable (V in this case) changes with time for a given fluid particle moving through the flow field

CE 15013 Acceleration Field The term is called the local acceleration; it represents the unsteadiness of the fluid velocity and is zero for steady flows. The terms are called convective accelerations; they represent the fact that the velocity of the fluid particle may vary due to the motion of the particle from one point in space to another; it can occur for both steady and unsteady flows.

CE 15014 The Control Volume A control volume is a volume in space through which fluid may flow; in some cases, the volume may move or deform The control volume has a boundary which separates it from the surroun- dings and defines a control surface In the study of fluid dynamics, the control volume approach is used to analyze fluid flow and fluid machinery The control volume approach is consistent with the Eulerian description

CE 15015 The Reynolds Transport Theorem The basic laws governing the motion of a fluid (e.g., conservation of mass, momentum, and energy) are usually written in terms of a fixed quantity of mass, or system* Because a control volume does not always have constant mass, the basic laws must be rephrased The Reynolds Transport Theorem is a tool that allows one to shift from a system viewpoint (fixed mass) to a control volume viewpoint * In thermodynamics, a system is defined more generally as a fixed mass or control volume

CE 15016 The Reynolds Transport Theorem Let B = any fluid parameter, such as mass, velocity, temperature, momentum, etc. Let b = B/m, a fluid parameter per unit mass The mass m may be that contained in a system or a control volume

CE 15017 The Reynolds Transport Theorem Example 4.7 (B = m, b = 1)

CE 15018 The Reynolds Transport Theorem

CE 15019 The Reynolds Transport Theorem Reynolds Transport Theorem (RTT) for fixed control volume with one inlet, one exit and uniform properties: –LHS term is Lagrangian –RHS terms are Eulerian

CE 15020 The Reynolds Transport Theorem A general control volume may have multiple inlets and outlets, three- dimensional flow, and nonuniform properties; the general form of the RTT is: –for a control volume moving at constant velocity V cv, replace V by V-V cv

CE 15021 Physical Interpretation The RTT allows one to translate the time rate of change of some parameter B of the system in terms of the time rate of change of B of the control volume and the net flow rate of B across the control surface A material derivative is used because the translation consists of an unsteady term  ( )/  t and convective effects associated with the flow of the system across the control surface

CE 15022 Steady Flow For steady flow, For B = m (mass), the LHS is zero since the mass of a system is constant For B = V (velocity), the LHS is nonzero in general For B = T (temperature), the LHS is also nonzero in general

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