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9.10 Turbulent Flow Studies                                                   247

                  functional groups to the silica surface to render the surface strongly hydrophobic.
                  The latter is necessary as the refractive index needs to be controlled when the fiber is
                  immersed in liquids. A dual optical probe for local volume fraction, drop velocity,
                  and drop size measurement in a kerosene-water two-phase flow was published by
                  Hamad et al. [116]. A method for nonintrusive measurement of velocity and slug
                  length in multiphase flow in glass capillaries of 1- or 2-mm inner diameter was pre-
                  sented by Wolffenbuttel et al. [117]. (Slug here means an amount of fluid and not
                  the animals that eat, uninvited, the salad leaves of hobby gardeners.) A combination
                  of an impedance meter and two infrared sensors is used to distinguish between air,
                  water, and decane [Figure 9.36(c)].



            9.10   Turbulent Flow Studies

                  An area where MEMS sensors have considerably broadened the field of study is
                  fluid dynamics. A typical MEMS sensor is at least one order of magnitude smaller
                  than conventional sensors used to measure instantaneous flow quantities such as
                  pressure and velocity [118]. The micromachined sensors are able to resolve all rele-
                  vant scales, even in high Reynolds number turbulent flows. Due to their small size,
                  the inertial mass and the thermal capacity are reduced. Thus, they can be used for
                  the study of turbulent flows, where a high-frequency response and a fine spatial
                  resolution are essential. The smallest scales of eddies in turbulent flow are in the
                  order of 100 µm [64]. Arrays of microsensors could make it possible to achieve
                  complete information on the effective small-scale coherent structures in turbulent
                  wall-bounded flows. Applications of turbulent flow study include the optimization
                  of wing sections of aircraft, the minimization of noise generation of vehicles, or mix-
                  ing enhancement for fluids.
                      The goal of measuring turbulent flows is to resolve both the largest and smallest
                  eddies that occur in the flow. In order to obtain meaningful results, both wall pres-
                  sure and wall shear stress need to be measured [118]. The wall shear stress is the
                  friction force that a flow exerts on the surface of an object.
                      The wall pressure can be measured with the sensors described in Chapter 6.
                  Löfdahl et al. [118] recommends that the pressure sensor needs to have a mem-
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                  brane size between 100 ×100 µm and 300 × 300 µm , it needs to have a high sen-
                  sitivity of ±10 Pa, and the frequency characteristic should be in the range of 10 Hz
                  to 10 kHz. The wall shear stress is a parameter of small magnitude. For example, a
                  submarine cruising at 30 km/h has an estimated value of the shear stress of 40 Pa;
                  an aircraft flying at 420 km/h, 2 Pa; and a car moving at 100 km/h, 1 Pa [118].
                  Therefore, the sensitivity of shear stress sensors needs to be very high. For wall
                  shear stress sensors, there are direct and indirect measurement methods. For
                  MEMS devices, the direct measurement method is the floating element method.
                  Here, the sensor needs to have an element movable in the plane of the wall, which is
                  laterally displaced by the tangential viscous force. The movement can be measured
                  using resistive, capacitive, or optical detection principles. It is an important
                  requirement that the sensor is mounted flush to the wall. Misalignment and gaps
                  around the sensing element, needed to allow small movements, are sources of error.
                  For conventional “macro” sensors, effects that could cause measurement errors are
                  pressure gradients, heat transfer, suction/blowing, gravity, and acceleration. With
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