Dynamic order of a U-tube mercury manometer: under standard modeling assumptions (incompressible fluid, small oscillations, negligible friction), what is the order of this measurement system?

Difficulty: Easy

Correct Answer: Second-order system

Explanation:


Introduction / Context:
Dynamic modeling of instruments clarifies how they respond to transient inputs. A U-tube manometer contains a column of liquid that can oscillate when disturbed, much like a mass–spring–damper system. This behavior determines the system order and transient characteristics.


Given Data / Assumptions:

  • Incompressible manometer liquid (e.g., mercury) and small-displacement approximation.
  • Symmetric U-tube; negligible viscous losses (or small damping).
  • Pressure difference applied across the two legs.


Concept / Approach:
Applying force balance to the moving liquid column yields a second-order differential equation: inertia of the liquid slug (mass term), a restoring term due to hydrostatic head (analogous to a spring), and damping from viscous losses/friction. With negligible friction, the system is lightly damped and oscillatory—characteristics of a second-order system. First-order dynamics lack oscillation and result from pure capacitance/resistance combinations without inertia terms, which does not match the U-tube’s oscillatory nature.


Step-by-Step Solution:
Model the fluid slug mass m and hydrostatic restoring coefficient k.Write m * d^2x/dt^2 + c * dx/dt + k * x = input (pressure forcing).Recognize the standard second-order form; c represents damping.


Verification / Alternative check:
Impulse or step tests show overshoot and oscillation in U-tube levels, directly indicating second-order behavior; damping increases with viscosity and tube diameter effects.


Why Other Options Are Wrong:
Zero/first order: Cannot produce oscillations observed in U-tube dynamics.Third order: Adds extra dynamics not inherent in the simplest U-tube model.Fractional order: Not the standard canonical model here.


Common Pitfalls:
Neglecting inertia leads to a first-order approximation, which fails to capture oscillations; incorrect linearization can also misclassify the order.


Final Answer:
Second-order system

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