A 1.0 m long model of a ship is tnwed in a towing tank at a speed of 81 cm/s. To what speed of the ship of 64 m long does this correspond?
A model boat, 1/100 size of its prototype has 0.12 N of resistance when simulating a speed of 5 m/s of the prototype. Water is the fluid in both cases. What is the corresponding resistance in the prototype?
[The frictional forces can be neglected]
The resistance offered at the free surface is the significant force and as such Froude model law is appropriate
If
∴
Oil of density 917 kg/m^{3} and dynamic viscosity 0.29 Pa.s flows in a pipe of diameter 15 cm at a velocity of 2 m/s. What would be the velocity of flow of water in a 1 cm diameter pipe to make the two flows dynamically similar? The density and viscosity of water can be taken as 998 kg/m^{3} and 1.31 x 10^{3} Pa.s respectivley.
In this case, Reynolds similarity law is applicable
Referring to oil with a subscript p and water with a suffix m
∴
A 1 :5 scale model of a passenger car is tested in wind tunnel. The prototype velocity is 50 km/h. if the model drag is 200 N, what is the power required to overcome the drag in the prototype? The air in the model and prototype can be assumed to have the same properties.
Reynolds similarity law is applicable
∵ air is having same properties,
(F_{m}/F_{p})  1
∴
A pipe of diameter 1.5 m is required to transport an oil of relative density 0,9 and kinematic viscosity = 3 x 10^{2} stoke at a rate of 3 m^{3}/s. if a 15 cm diameter pipe with water at 20°C (n = 0.01 stoke) is used to model the above flow, the discharge in the model is
The Reynolds number must be the same in the model and prototype for similar pipe flows
Both Reynolds number and Froude number assume, significance in one of the following example:
Match ListI (Parameter) with ListII (Scale ratio Froude Laws) the following:
Match the ListI (Parameter) with Listll (Scale ratios for Reynolds laws):
Which one of the dimensionless numbers identifies the compressibility effect of a fluid
At higher Mach number the compressibility effect is predominant.
Geometric similarity between model and prototype means the similarity of
Geometric similarity ⇒ Similarity in linear dimensions.
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