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Chapter 2. Dimensional Analysis of Turbomachinery 1. SI Units

Chapter 2. Dimensional Analysis of Turbomachinery 1. SI Units

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<strong>Chapter</strong> <strong>2.</strong> <strong>Dimensional</strong> <strong>Analysis</strong> <strong>of</strong> <strong>Turbomachinery</strong><br />

<strong>1.</strong> <strong>SI</strong> <strong>Units</strong><br />

• There are 7 <strong>SI</strong> base/primary units in physics and engineering. Other quantities, called derived<br />

quantities, are defined in terms <strong>of</strong> the seven base quantities via a system <strong>of</strong> quantity equations.<br />

• In thermodynamics, we frequently use 4 units (marked with red colour).<br />

• In this course, only three base/primary units (mass, lengthand and time) are used in analysis <strong>of</strong> a<br />

“pure mechianical system” (in which the density, temperature and enthalpy <strong>of</strong> the working fluids<br />

do not change). In dimensional analysis, we use “M”, “L”, and “t” to represent these three base<br />

dimensions, repectively.<br />

• In a thermal-mechanical system (e.g., where temperture varies, heat transfer is involved, and fluid<br />

is compressible), the fourth base unit (temperature) needs to be considered. In dimensional<br />

analysis, we use “T” to represent this base dimension.<br />

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Note that there is an analogy between the momentum and the angular-momentum systems, indicated<br />

using * and **, respectively:<br />

mass ~ moment <strong>of</strong> inertia, velocity ~ angular velocity, force ~ torque,<br />

acceleration ~ angular acceleration, momentum ~ angular momentum.<br />

<strong>2.</strong> Buckingham Pi Theorem (Peng, 2008)<br />

Theorem: the Buckingham pi theorem states that the number <strong>of</strong> independent nondimensional parameters<br />

needs to correlate the variables for a given process is n − m .<br />

Here, n is the number <strong>of</strong> relevant dimensional parameters involved and m is the number <strong>of</strong> primary<br />

dimensions, i.e. (M, L, t or F, L, t) for a pure mechanical system; and (M, L, t, T or F, L, t, T) for a<br />

thermal-mechanical system.<br />

Procedure:<br />

See page 19 in Peng (2008) for the 10-step method to perform a dimensional analysis based on the<br />

Buckingham pi theorem. These 10 steps can be further summarized as:<br />

<strong>1.</strong> Determine n and m, and the functional relation <strong>of</strong> the quantities: List the n physical quantities (Qn)<br />

with dimensions and the m primary/base dimensions. There will be (n-m) π-terms.<br />

<strong>2.</strong> Select the primary quantities: Select m number <strong>of</strong> these quantities, none dimensionless and no two<br />

having the same dimensions. All primary dimensions must be included collectively in the quantities<br />

selected.<br />

3. Write down the π-terms: Express each π-term as the product <strong>of</strong> the selected quantities (each to an<br />

unknown exponent) and one remaining (unused) quantity (to a known power usually taken as unity).<br />

4. Group exponents: Group the exponents for the same primary dimension in each π-term.<br />

5. Determine the exponents: Solve for the unknown exponents, and then report the final formulae <strong>of</strong> the<br />

π-terms and the nondimentionalized functional relation. Try to analyze their physical meanings.<br />

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3. Key Concepts in <strong>Dimensional</strong> <strong>Analysis</strong> for <strong>Turbomachinery</strong> (pp. 19-27,<br />

Peng, 2008)<br />

Write down the definitions <strong>of</strong> the following key concepts. Try to thoroughly understand the physical<br />

meaning <strong>of</strong> these parameters, and their applications in turbomachinery.<br />

Work____________________________ Specific work_____________________<br />

Head____________________________ Efficiency (general)________________<br />

Lift coefficient____________________ Drag coefficient___________________<br />

Head coefficient___________________ Flow coefficient___________________<br />

Reynolds number__________________ Power coefficient__________________<br />

Speed ratio_______________________ Unit power_______________________<br />

Specific speed_____________________ Specific diameter__________________<br />

The Moody diagram shows that the drag coefficient is a function <strong>of</strong> the Reynolds number. It also<br />

demonstrates the advantage to use non‐dimensional parameters in the analysis‐‐‐all experimental<br />

results <strong>of</strong> different types <strong>of</strong> sand grain rough‐wall flows collapse.<br />

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Variable Geometry Turbomachines (Dixon, 2005)<br />

Try to understand<br />

the meaning <strong>of</strong> the<br />

“Envelope <strong>of</strong> the<br />

optimum efficiency”<br />

under different<br />

geometrical<br />

conditions <strong>of</strong> a<br />

turbomachine.<br />

Different<br />

blade setting<br />

angles β<br />

Different<br />

blade setting<br />

angles β<br />

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Efficiency <strong>of</strong> the turbomachinery vs. the specific speed<br />

Specific speeds<br />

characteristic <strong>of</strong><br />

different types <strong>of</strong><br />

turbomchinery.<br />

For the fixed turbomachine, when the<br />

Reynolds number effects are ignored,<br />

the efficiency is approximately a<br />

function <strong>of</strong> the specific speed.<br />

There is an optimum specific speed<br />

which corresponds to the highest<br />

efficiency <strong>of</strong> a fixed turbomachine.<br />

Efficiency vs.<br />

specific speed.<br />

Volume flow rates<br />

vs. specific speed<br />

for different types<br />

<strong>of</strong> turbomachinery.<br />

It shows the range<br />

<strong>of</strong> specific speeds<br />

and efficiencies for<br />

a turbomachine.<br />

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4. Compressible Fluid <strong>Analysis</strong> (pp.15-16, Dixon, 2005; Case 3 on p.22,<br />

Peng, 2008)<br />

4.1 Compressibility<br />

Compressible = specific volume is changeable (or, density is changeable)<br />

True or false?<br />

If we put a huge pressure on a substance, it must become compressible.<br />

Your answer is____<br />

If the total volume <strong>of</strong> a certain amount <strong>of</strong> substance can change, then this substance is compressible.<br />

Your answer is____<br />

4.1 Stagnation properties:<br />

Specific speed vs. specific<br />

diameter.<br />

Redial type: low specific speeds<br />

with larger impeller diameters.<br />

Axial type: high specific speeds<br />

with smaller rotor diameters.<br />

Sound speed______________________ Isentropic process_____________________<br />

Stagnation enthalpy______________ __ Stagnation temperature_________________<br />

Stagnation pressure________________ Stagnation density_____________________<br />

Mach number_____________________ Rotational/blade Mach number___________<br />

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The Mollier (h-s) diagram is useful in analyzing the performance <strong>of</strong> an adiabatic steady-flow<br />

process, such as the flows in nozzles, diffusers, turbines and compressors.<br />

Temperature-Entropy (T-S) Diagram<br />

Water<br />

Questions:<br />

<strong>1.</strong> Show the constant p lines<br />

(isobaric processes), constant<br />

s lines (isentropic processes),<br />

and constant enthalpy lines<br />

(constant h processes).<br />

<strong>2.</strong> Show where the two-phase<br />

region is and where the<br />

vapour region is.<br />

3. Show the direction <strong>of</strong><br />

compression and expansion<br />

between two pressure lines.<br />

4. Can a gas turbine run in a<br />

two-phase region? Why?<br />

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5. Similitude<br />

Similitude is a concept used in the testing <strong>of</strong><br />

engineering models. A model is said to have<br />

similitude with the real application (full-size<br />

prototype machine) if the two share geometric<br />

similarity, kinematic similarity and dynamic<br />

similarity. Similarity and similitude are<br />

interchangeable in this context.<br />

Purposes:<br />

• Small model data can be used to predict the performance <strong>of</strong> a full-scale prototype;<br />

• Predict the machine performance at other operating conditions.<br />

Geometrical Similarity:<br />

(L/D)m = (L/D)p<br />

• Linear dimension ratios are the same<br />

everywhere;<br />

• Photographic enlargement.<br />

Kinematic Similarity:<br />

m = p;<br />

(V1/V2)m=(V1/V2)p<br />

• Same flow coefficients;<br />

• Same fluid velocity ratios (triangles)<br />

are the same.<br />

Dynamic Similarity:<br />

ψm = ψp,<br />

(F1/F2)m=(F1/F2)p<br />

• Same head/power/loading coefficients;<br />

• Same force ratios (and force triangles).<br />

The efficiencies <strong>of</strong> the model and<br />

prototype are the same providing the<br />

similarity laws are satisfied.<br />

Example 1 (the same machine at different operating conditions. Example <strong>2.</strong>1S, pp.29, Peng, 2008)<br />

Example 2 (two machines: model and prototype machines. Example <strong>1.</strong>1, pp.35, Gorla and Khan, 2003)<br />

The textbook is<br />

wrong. Use the<br />

class notes.<br />

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