Method and system for controlling distortion of turbine case due to thermal variations

• US 6,691,019 B2
• Filed: 12/21/2001
• Issued: 02/10/2004
• Est. Priority Date: 12/21/2001
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Wang, Weiping, Wang, Hsin-Pang, Thermos, Anthony Constantine, Seeley, Charles Erklin, McCallum, Martel Alexander, Ramakrishnan, Ramanath Iyer, Claeys, James Patrick
• Primary Examiner(s): Black, Thomas G.
• Assistant Examiner(s): MANCHO, RONNIE M
• Application Number:
  US09/683,403
• Publication Number:
  US 20030120415A1
• Time in Patent Office: 781 Days
• Field of Search: 701/100, 602/66, 415/108, 415/200, 415/182.1
• US Class Current: 701/100
• CPC Class Codes: F01D 17/085 to temperature
• CPC Class Codes: F01D 21/04 responsive to undesired position of rotor relative to stator or to breaking-off of a part of the rotor, e.g. indicating such position
• CPC Class Codes: F01D 21/08 Restoring position
• CPC Class Codes: F01D 25/24 Casings modified for heating or cooling F01D25/14; Casing parts, e.g. diaphragms, casing fastenings casings for rotary machines or engines in general F16M ; special arrangements in stators dealing with breaking-off of part of rotor F01D21/045
• CPC Class Codes: F01D 25/26 Double casings; Measures against temperature strain in casings
• CPC Class Codes: F05D 2270/303 Temperature
• CPC Class Codes: F05D 2270/44 active, predictive, or anticipative

Abstract

A method for controlling distortion of a turbine case (“case”) includes measuring a temperature distribution for the case that includes thermal gradients. The method further includes modeling thermal stresses on the case induced by the thermal gradients, calculating an out of roundness index (“index”) resulting from the thermal stresses, and comparing the index with at least one distortion limit to determine whether the case has a satisfactory or an unsatisfactory index. The temperature distribution is controlled for an unsatisfactory index to produce the satisfactory index. A system for controlling distortion of the turbine case includes a thermal measurement system, for measuring the temperature distribution, and a computer configured for modeling the thermal stresses, calculating and comparing the index with the distortion limit, and controlling the temperature distribution for an unsatisfactory index to produce the satisfactory index.

Claims

1. A method for controlling distortion of a turbine case, said method comprising:

measuring a temperature distribution for the turbine case, the temperature distribution comprising a plurality of thermal gradients;

modeling a plurality of thermal stresses on the turbine case induced by the thermal gradients;

calculating an out of roundness index resulting from the thermal stresses on the turbine case;

comparing the out of roundness index with at least one distortion limit; and

controlling the temperature distribution until the out of roundness index satisfies the distortion limit.

2. The method of claim 1, wherein said measurement of the temperature distribution comprises measuring under a plurality of operating conditions.

3. The method of claim 1, wherein said measurement of the temperature distribution comprises using a plurality of temperature sensors positioned on the turbine case.

4. The method of claim 1, wherein said measurement of the temperature distribution comprises obtaining a plurality of infrared images of the turbine case.

5. The method of claim 4, wherein said measurement of the temperature distribution further includes:

using a plurality of temperature sensors positioned on the turbine case to obtain thermal data; and

calibrating the infrared images using the thermal data.

6. The method of claim 1, wherein controlling the temperature distribution includes:

modeling a new temperature distribution for the turbine case resulting from at least one hypothetical design change, the new temperature distribution comprising a plurality of new thermal gradients;

modeling a plurality of new thermal stresses on the turbine case induced by the new thermal gradients;

calculating a new out of roundness index resulting from the new thermal stresses on the turbine case; and

comparing the new out of roundness index with the distortion limit to determine whether the new out of roundness index satisfies the distortion limit,

wherein the temperature distribution is repeatedly controlled until the new out of roundness index satisfies the distortion limit.

7. The method of claim 1, wherein said calculation of the out of roundness index comprises:

determining a plurality of radii for the turbine case under the thermal stresses, the radii being determined for a plurality of angular orientations around the turbine case;

determining a mean radius for the turbine case under the thermal stresses; and

averaging a difference between the radii and the mean radius over the angular orientations around the turbine case to obtain the out of roundness index.

8. The method of claim 1, further comprising:

representing the turbine case as a plurality of sections,

wherein said measurement of the temperature distribution includes obtaining a plurality of thermal data sets at one or more measurement times, each thermal data set being obtained for a respective one of the sections and for a respective measurement time, and wherein the out of roundness index comprises a plurality of sectional out of roundness indices, one sectional out of roundness index being provided for each of the sections for each measurement time.

9. The method of claim 8, wherein calculation of each sectional out of roundness index comprises:

determining a plurality of radii for a respective section of the turbine case at a respective measurement time, the radii being determined for a plurality of angular orientations around the section;

determining a mean radius for the section at the respective measurement time; and

averaging a difference between the radii and the mean radius over the angular orientations around the section to obtain the sectional out of roundness index.

10. The method of claim 8, further comprising:

calculating a coefficient of thermal variation for each section at each measurement time using a respective thermal data set; and

correlating each of the sectional out of roundness indices with the coefficient of thermal variation for the respective section and the respective measurement time to obtain a plurality of correlated sectional out of roundness indices,

wherein said comparison of the out of roundness index with the distortion limit includes using the correlated sectional out of roundness indices.

11. The method of claim 10, wherein said comparison of the out of roundness index with the distortion limit includes:

interpolating each of the correlated sectional out of roundness indices to obtain a generalized coefficient of thermal variation for the respective section at the respective measurement time as a function of the sectional out of roundness index;

evaluating each of the generalized coefficients of thermal variation at the distortion limit to determine a thermal variation limit for the respective section and for the respective measurement time; and

comparing each coefficient of thermal variation with the respective thermal variation limit to determine whether the respective thermal data set satisfies the thermal variation limit, and

wherein said controlling of the temperature distribution includes altering the temperature distribution to satisfy the thermal variation limit in each of the sections.

12. The method of claim 11, wherein said alteration of the temperature distribution includes:

modeling a new temperature distribution for the turbine case resulting from at least one hypothetical design change, the new temperature distribution comprising a plurality of new thermal data sets, each new thermal data set being modeled for a respective one of the sections at a respective measurement time;

calculating a new coefficient of thermal variation for each section at each measurement time using a respective one of the new thermal data sets; and

comparing each of the new coefficients of thermal variation with the respective thermal variation limit to determine whether a case of a redesigned turbine engine incorporating the hypothetical design change has a satisfactory or an unsatisfactory new temperature distribution,

wherein the temperature distribution is repeatedly altered until the satisfactory new temperature distribution is obtained.

13. The method of claim 12, wherein the thermal stresses on the turbine case and the new temperature distribution are modeled using finite element analysis.

14. The method of claim 12, wherein said calculation of each of the coefficients of thermal variation includes:

determining a standard deviation σ

_ij of the respective thermal data set;

determining a mean temperature μ

_ij for the respective thermal data set; and

calculating the coefficient of thermal variation c_ij as a function of the standard deviation σ

_ij and the mean temperature μ

_ij.

15. The method of claim 14, wherein said calculation of each of the new coefficients of thermal variation includes:

determining a standard deviation σ

_ij′

of the respective new thermal data set;

determining a mean temperature μ

_ij′

for the respective new thermal data set; and

calculating the new coefficient of thermal variation c_ij′

as a function of the standard deviation σ

_ij′ and

the mean temperature μ

_ij′

.

16. The method of claim 15, wherein said calculation of the coefficient of thermal variation c_ij is performed using a formula:

17. The method of claim 12, further comprising:

implementing a design change to the turbine engine corresponding to the hypothetical design change providing the satisfactory new temperature distribution.

18. The method of claim 17, further comprising:

measuring a new actual temperature distribution; and

confirming that the new actual temperature distribution satisfies the thermal distortion limit.

19. The method of claim 11, wherein said alteration of the temperature distribution includes:

modeling a new temperature distribution for the turbine case resulting from at least one hypothetical design change, the new temperature distribution comprising a plurality of new thermal data sets, each new thermal data set being modeled for a respective one of the sections at a respective measurement time;

calculating a new sectional out of roundness index for each new thermal data set;

calculating a new coefficient of thermal variation for each new thermal data set;

correlating each of the new sectional out of roundness indices with the new coefficient of thermal variation for the respective thermal data set to obtain a plurality of new correlated sectional out of roundness indices;

interpolating each of the new correlated sectional out of roundness indices to obtain a new generalized coefficient of thermal variation for the respective section at the respective measurement time as a function of the new sectional out of roundness index;

evaluating each of the new generalized coefficients of thermal variation at the distortion limit to determine a new thermal variation limit for the respective thermal data set; and

comparing each of the new coefficients of thermal variation with the respective new thermal variation limit to determine whether a case of a redesigned turbine engine incorporating the hypothetical design change has a satisfactory or an unsatisfactory new temperature distribution,

wherein the temperature distribution is repeatedly altered until the satisfactory new temperature distribution is obtained.

20. The method of claim 11, wherein the distortion limit comprises a plurality of distortion limits, one distortion limit being specified for each section, and wherein said evaluation of each of the generalized coefficients of thermal variation includes evaluating the generalized coefficient of thermal variation at a respective one of the distortion limits to determine the thermal variation limit for the respective section.

21. The method of claim 10, wherein said calculation of each of the coefficients of thermal variation includes:

determining a standard deviation σ

_ij of the respective thermal data set;

determining a mean temperature μ

_ij for the respective thermal data set; and

calculating the coefficient of thermal variation c_ij as a function of the standard deviation σ

_ij and the mean temperature μ

_ij.

22. The method of claim 21, wherein said calculation of the coefficient of thermal variation c_ij is performed using a formula:

23. The method of claim 8, wherein obtaining the thermal data sets includes:

obtaining at least one infrared image of the turbine case;

obtaining calibration data using a plurality of temperature sensors, at least one temperature sensor being positioned on each section; and

calibrating the infrared image using the calibration data to obtain the thermal data sets.

24. The method of claim 8, wherein each thermal data set comprises a plurality of thermal data obtained using at least two temperature sensors positioned on the respective section of the turbine case.

25. The method of claim 1, wherein the turbine case is a gas turbine case.

26. A system for controlling distortion of a turbine case, said system comprising:

a thermal measurement system for measuring a temperature distribution for the turbine case, the temperature distribution comprising a plurality of thermal gradients; and

a computer configured for;

modeling a plurality of thermal stresses on the turbine case induced by the thermal gradients,

calculating an out of roundness index resulting from the thermal stresses on the turbine case,

comparing the out of roundness index with at least one distortion limit, and

controlling the temperature distribution until the out of roundness index satisfies the distortion limit.

27. The system of claim 26, wherein said thermal measurement system comprises a plurality of temperature sensors positioned on the case.

28. The system of claim 27, wherein said thermal measurement system further comprises an infrared radiometer.

29. The system of claim 26, wherein said computer is further configured to represent the turbine case as a plurality of sections, wherein said thermal measurement system is configured to obtain a plurality of thermal data sets at one or more measurement times, each thermal data set being obtained for a respective one of the sections and for the respective measurement time, and wherein the out of roundness index comprises a plurality of sectional out of roundness indices, one sectional out of roundness index being provided for each of the sections for each measurement time.

30. The system of claim 29, wherein said computer is further configured for:

calculating a coefficient of thermal variation for each section at each measurement time using a respective thermal data set, and

correlating each of the sectional out of roundness indices with the coefficient of thermal variation for the respective section and the respective measurement time to obtain a plurality of correlated sectional out of roundness indices,

wherein said computer is configured to compare the out of roundness index with the distortion limit by;

interpolating each of the correlated sectional out of roundness indices to obtain a generalized coefficient of thermal variation for the respective section at the respective measurement time as a function of the sectional out of roundness index,

evaluating each of the generalized coefficients of thermal variation at the distortion limit to determine a thermal variation limit for the respective section and for the respective measurement time, and

comparing each coefficient of thermal variation with the respective thermal variation limit to determine whether the respective thermal data set satisfies the thermal variation limit, and

wherein said computer is configured to control the temperature distribution by altering the temperature distribution to satisfy the thermal variation limit in each of the sections.

31. The system of claim 30, wherein said computer is configured to alter the temperature distribution by:

modeling a new temperature distribution for the case resulting from at least one hypothetical design change, the new temperature distribution comprising a plurality of new thermal data sets, each new thermal data set being modeled for a respective one of the sections at a respective measurement time,

calculating a new coefficient of thermal variation for each section at each measurement time using a respective one of the new thermal data sets, and

comparing each of the new coefficients of thermal variation with the respective thermal variation limit to determine whether a case of a redesigned turbine engine incorporating the hypothetical design change has a satisfactory or an unsatisfactory new temperature distribution,

wherein said computer is configured to repeatedly alter the temperature distribution until the satisfactory new temperature distribution is obtained.

32. A method for controlling distortion of a gas turbine case, said method comprising:

representing the gas turbine case as a plurality of sections;

measuring a temperature distribution for the gas turbine case, the temperature distribution comprising a plurality of thermal data sets obtained at one or more measurement times, each thermal data set being obtained for a respective one of the sections and for the respective measurement time;

calculating a sectional out of roundness index for each of the thermal data sets;

comparing each sectional out of roundness index with a distortion limit; and

controlling the temperature distribution until each of the sectional out of roundness indices satisfies the distortion limit.

33. The method of claim 32, further comprising:

calculating a coefficient of thermal variation for each section at each measurement time using a respective thermal data set;

correlating each of the sectional out of roundness indices with the coefficient of thermal variation for the respective thermal data set to obtain a plurality of correlated sectional out of roundness indices,

wherein said comparison of the sectional out of roundness indices with the distortion limit includes;

interpolating each of the correlated sectional out of roundness indices to obtain a generalized coefficient of thermal variation for the respective thermal data set as a function of the sectional out of roundness index;

evaluating each of the generalized coefficients of thermal variation at the distortion limit to determine a thermal variation limit for the respective thermal data set; and

comparing each coefficient of thermal variation with the respective thermal variation limit to determine whether the respective thermal data set satisfies the thermal variation limit, and

wherein said controlling of the temperature distribution includes altering the temperature distribution to satisfy the thermal variation limit in each of the sections.

34. The method of claim 33, wherein said alteration of the temperature distribution includes:

modeling a new temperature distribution for the case resulting from at least one hypothetical design change, the new temperature distribution comprising a plurality of new thermal data sets, each new thermal data set being modeled for a respective one of the sections at a respective measurement time;

calculating a new coefficient of thermal variation for each of the new thermal data sets; and

comparing each of the new coefficients of thermal variation with the respective thermal variation limit to determine whether a case of a redesigned gas turbine engine incorporating the hypothetical design change has a satisfactory or an unsatisfactory new temperature distribution,

wherein the temperature distribution is repeatedly altered until the satisfactory new temperature distribution is obtained.

35. The method of claim 34, wherein said calculation of each of the coefficients of thermal variation includes:

determining a standard deviation σ

_ij of the respective thermal data set;

determining a mean temperature μ

_ij for the respective thermal data set; and

calculating the coefficient of thermal variation c_ij using a formula c_ij=σ

_ij/μ

_ij.

36. The method of claim 35, wherein said calculation of each of the new coefficients of thermal variation includes:

determining a standard deviation σ

_ij′

of the respective new thermal data set;

determining a mean temperature μ

_ij′

for the respective new thermal data set; and

calculating the new coefficient of thermal variation c_ij′

using a formula c_ij′

=σ

_ij′

/μ

_ij′

.