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Research Papers: Gas Turbines: Structures and Dynamics

Rotordynamic Optimization of Fixed Pad Journal Bearings Using Response Surface Design of Experiments

[+] Author and Article Information
Leonardo Urbiola-Soto

Center for Advanced Technology,
Universidad Nacional Autónoma
de México (UNAM),
Boulevard Juriquilla 3001,
Queretaro 76230, Mexico
e-mail: leourbiola@gmail.com

Raymundo Santibañez-Santoscoy, Marcelo López-Parra

Center for Advanced Technology,
Universidad Nacional Autónoma de México
(UNAM),
Boulevard Juriquilla 3001,
Queretaro 76230, Mexico

Alejandro C. Ramírez-Reivich, Ricardo Yañez-Valdez

Department of Mechanical Engineering,
Universidad Nacional Autónoma de México
(UNAM),
Circuito Exterior, Cd. Universitaria,
04510 Distrito Federal, México

1Corresponding author.

Contributed by the Structures and Dynamics Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received October 8, 2015; final manuscript received June 16, 2016; published online August 2, 2016. Assoc. Editor: Philip Bonello.

J. Eng. Gas Turbines Power 138(12), 122502 (Aug 02, 2016) (10 pages) Paper No: GTP-15-1483; doi: 10.1115/1.4034066 History: Received October 08, 2015; Revised June 16, 2016

The design process of journal bearings of turbomachines is complex and time-consuming due to the many geometric and physical variables involved. This paper reports on the design of experiments (DOE) and the response surface design of experiments (RSDOE) methods employed on the design of the drive-end and free-end three-lobe journal bearings supporting a centrifugal compressor rotor. The suitability of each technique is discussed. The bearing design variables employed are bearing slenderness ratio, radial clearance, preload, and lubricant inlet temperature. The rotordynamic response variables selected were the critical speed location, the vibrations at critical speed and operating speed for both bearings, and the threshold speed of instability. The use of a nonlinear (quadratic) RSDOE model is justified. An optimization approach combining an SRDOE and rotordynamic finite element modeling is presented. This method leads to arrive to a multivariate model for multi-objective optimization with very few computations. Identification of the dominant design variables and their effects on several response variables allows establishing engineering feasible solutions with focus on manufacturing versus operating conditions tradeoff.

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References

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Figures

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Fig. 1

Compressor rotor, geometry (top), and rotordynamic model (bottom)

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Fig. 2

Three-lobe journal bearing, baseline (top), and DOE bearing (bottom)

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Fig. 3

Response variables

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Fig. 4

Pareto chart for the threshold speed of instability

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Fig. 5

Factorial plots for the threshold speed of instability

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Fig. 6

Response optimizer setup

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Fig. 7

Optimization output of first RSDOE

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Fig. 11

Response surface of the threshold speed of instability versus m and T

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Fig. 10

Response surface of the threshold speed of instability versus Cp and m

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Fig. 9

Optimization output of third RSDOE

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Fig. 8

Optimization output of second RSDOE

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Fig. 12

Optimization output of fourth RSDOE

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