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An experimental study of pulsatile pipe flow in the transition range
Journal of Biomechanical Engineering
|November 1, 1993
Summary
Pulsatile flow research reveals insights into turbulence transition, crucial for understanding gas transport in high-frequency ventilation and cardiovascular conditions. This study measured velocity profiles and pressure losses in a pulsatile pipe flow.
Area of Science:
- Fluid dynamics
- Biofluid mechanics
- Aerodynamics
Background:
- Pulsatile flows are critical in various applications, including aerodynamics, biofluid mechanics, and gas transport.
- The transition to turbulence in pulsatile flow has significant physiological and clinical implications, potentially affecting gas transport during high-frequency ventilation and contributing to cardiovascular phenomena like valvular regurgitation and aneurysms.
Purpose of the Study:
- To investigate the characteristics of pulsatile pipe flow with a superimposed mean flow.
- To determine the conditions for flow reversal and transition to turbulence.
- To evaluate the adequacy of quasi-steady-state models for pulsatile flow.
Main Methods:
- Experimental measurements were conducted in a water flow setup.
- Data collection included mean Reynolds numbers (Re(m)) from 0 to 3000, oscillating Reynolds numbers (Re omega) from 0 to 4000, and Stokes parameter (lambda) from 7 to 15.
- Velocity profiles across different flow phases, flow reversal conditions, and pressure losses were measured.
Main Results:
- Detailed velocity profiles were obtained for various phases of the pulsatile flow.
- Conditions leading to flow reversal were identified.
- Pressure losses were quantified.
- The study assessed the applicability of quasi-steady-state models.
Conclusions:
- The transition to turbulence was determined by visual inspection of centerline velocity signals.
- Findings contribute to a better understanding of pulsatile flow dynamics and their implications in physiological and engineering contexts.
- The study provides valuable data for validating and refining flow models.