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The first analytical theory to consider for a helicopter in forward (nonaxial) flight is the momentum theory. The
analysis for vertical (axial) flight is very similar to that of a simple propeller, and will not be discussed
here. One notable result of that analysis, however, is the induced velocity of the rotor in hover:
![]() where w is the disc loading, given by
![]() In the terms of basic momentum theory, the thrust of a rotor in nonaxial flight is very difficult to derive. In the context of this discussion, a relationship for the thrust that was proposed by Glauert in 1928 will be used. A simple diagram of an actuator disk in nonaxial flow is depicted below.
![]() Actuator disk in nonaxial flow [from Stepniewski, 1979]The thrust of the actuator disk can be given by:
![]()
Far downstream from the disk, the downwash vf is doubled. Also, the term
![]() Unfortunately, this equation does not allow a determination of vf, since V´ is also dependent on vf. In order to solve for the induced velocity, V´ must first be expressed in terms of V and vf:
![]() This value for V´ can then be substituted back into the thrust equation, which can then be nondimensionalized by vh (overbars denote nondimensional values):
![]() The above equation can now be solved either graphically or with an iteration scheme. As a check of validity, if this equation is solved for an α of 0°, the solution matches that of the axial case. The other extreme case, where α=-90°, represents the other limiting case of helicopter forward flight. The nondimensional induced velocity versus the nondimensional flight velocity for both limiting cases are plotted below.
![]() Nondimensional induced velocity versus nondimensional flight velocity [from Stepniewski, 1979]
While most cases of forward flight occur at small α, in which case the α=0° curve would be very
representative, all other intermediate cases of flight are within the two curves. It is important to note that
beyond a nondimensional flow velocity of about 3, the two curves are almost coincident, and can be approximated by
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