This application relates to a system wherein movement, vibration, leaning or flutter of an airfoil in a turbine engine is monitored, and anomalies in the monitored condition are utilized to predict length of any crack that may be found in the airfoil. Once the crack length is determined, a “remaining life” is calculated given expected engine operating conditions. This expected life is to be utilized to plan flight schedules or missions and maintenance.
Gas turbine engines are provided with a number of functional sections, including a fan section, a compressor section, a combustion section, and a turbine section. Air and fuel are combusted in the combustion section. The products of the combustion move downstream, and pass over a series of turbine rotors, driving the rotors to create power. The turbine, in turn, drives rotors associated with the fan section and the compressor section.
The rotors associated with each of the above-mentioned sections (other than the combustion section) include removable blades. These blades have an airfoil shape, and are operable to move air (fan rotors), compress air (compressor rotors), and to be driven by the products of combustion (turbine rotors).
Cracks may form in airfoils, such as the blades. These cracks can result in a failure to the airfoil component over time. To date, no system has been able to successfully predict, detect and monitor the existence, and growth of a crack in an airfoil, which may lead toward failure, and predict the remaining life of an airfoil.
In the disclosed embodiment of this invention, movement of the blades in a rotor associated with a turbine engine is monitored. Vibration, flutter, leaning, etc. of each of the blades is monitored. As an example, if a leading edge of a blade reaches a position where a sensor can sense it earlier (or later) than it was expected, an indication can be made that the blade is vibrating, leaning or fluttering.
The present invention has identified certain conditions that are expected in the event that a crack has occurred in an airfoil. Thus, the condition as sensed is compared to stored information to detect a crack and predict its length when anomalies are found in the operation of the airfoil. Once a crack of a certain length has been detected, other stored information can be accessed which will predict remaining useful life of the particular airfoil under various system conditions. At this point, the remaining life can be utilized such as for flight scheduling, or to schedule maintenance.
As one example, if two aircrafts have engines wherein one of the engines has a blade with a remaining life that is relatively short compared to the other, the aircraft with the blade approaching the end of its useful life may be scheduled for less stressful operation. As for example, in a military application, the jet aircraft with the longer-predicted blade life can be utilized for more stressful missions such as air to ground missions, while the aircraft having a blade closer to the end of its useful life may be scheduled for less stressful operations such as air coverage, at which it is likely to be at a relatively stationary speed loitering.
These and other features of the present invention can be best understood from the following specifications and drawings, the following of which is a brief description.
The present invention has developed transfer functions which associate a relative frequency change, or other changes, with growing length of a crack in the airfoil. Different modes of monitoring the airfoil can be taken at different locations at the airfoil and can be utilized to predict the location and length of the crack. The transfer function such as shown in
Other deformations that can be measured include first bending mode, stiffwise bending mode, first torsion mode, chordwise bending mode, second leading edge bending mode, second bending mode, second torsion mode, chordwise second bending mode, and third trailing edge bending mode.
In general, each of these methods measure deformation of a position of a portion of the blade as the rotor and blade rotate. These deformations can then be associated with a crack length as mentioned above.
Once a crack of certain length has been detected, another family of curves can be used to associate various stress levels on the airfoil with a remaining life. Examples of such curves are shown in
Further, with this invention and due to the various effects of different stress levels, it is apparent that by planning a particular flight schedule for an aircraft holding a particular jet engine, the number of flights remaining can be optimized. For example, in military applications there are high stress and low stress flights. An air to ground attack mission might be a relatively high stress flight in that it could involve frequent accelerations and decelerations. On the other hand, air cover under which an aircraft tends to remain high in the air at a relatively constant speed should be relatively low stress. A field commander might assign a particular aircraft to one of these flight schedules based upon an indicated remaining life indicated by this invention. This can lengthen the time between necessary maintenance.
The information provided in this invention also can provide an indication of an apparent immediate failure. As an example,
While the above embodiments of this invention are all disclosed utilizing a predicted crack length, other types of damage to a blade may also be utilized in connection with this invention.
While a preferred embodiment of this invention has been disclosed, a worker of ordinary skill in this art would recognize that certain modifications would come within the scope of this invention. For that reason, the following claims should be studied to determine the true scope and content of this invention.
Number | Name | Date | Kind |
---|---|---|---|
4573358 | Luongo | Mar 1986 | A |
4804905 | Ding et al. | Feb 1989 | A |
4887468 | McKendree et al. | Dec 1989 | A |
4896537 | Osborne | Jan 1990 | A |
4914953 | Viscovich | Apr 1990 | A |
4922757 | Rozelle et al. | May 1990 | A |
5097711 | Rozelle et al. | Mar 1992 | A |
5148711 | Twerdochlib et al. | Sep 1992 | A |
5411364 | Aberg et al. | May 1995 | A |
5440300 | Spillman, Jr. | Aug 1995 | A |
5761956 | Beeson et al. | Jun 1998 | A |
5900555 | Westphal et al. | May 1999 | A |
6094989 | Twerdochlib | Aug 2000 | A |
6761528 | Woditschka | Jul 2004 | B2 |
6838157 | Subramanian | Jan 2005 | B2 |
7034711 | Sakatani et al. | Apr 2006 | B2 |
20040037693 | Stabley et al. | Feb 2004 | A1 |
20050129498 | Brooks | Jun 2005 | A1 |
20050261820 | Feeney et al. | Nov 2005 | A1 |
20060056959 | Sabol et al. | Mar 2006 | A1 |
20060070435 | LeMieux et al. | Apr 2006 | A1 |
20070139193 | Arik et al. | Jun 2007 | A1 |
20070258807 | Brummel | Nov 2007 | A1 |
Number | Date | Country | |
---|---|---|---|
20070271023 A1 | Nov 2007 | US |