Abstract

Couplings connect the spinning shafts of driving and driven machines in the industry. A coupling guard encloses the coupling to protect personnel from the high-speed rotating coupling. The American Petroleum Institute API publishes standards that restrict the overheating of the coupling guards due to windage caused by the spinning shaft. Based on the most recent version of API 671, the peak temperature for the coupling guard should not exceed 60 °C. This paper proposes a machine learning (ML) model and an empirical formula to predict the maximum guard temperature and power loss. The ML models use a database obtained from simulated computational fluid dynamics (CFD) cases for different coupling guards under various conditions. Also, the paper provides validation for the CFD models with experimental tests for different cases. The proposed ML model uses eight different input parameters to predict temperature and power loss. The model shows an accurate prediction for a varied number of CFD cases. The performance of the generated model has been verified with the experimental results. Also, an empirical formula has been created using the same database from CFD results. The results show that the ML model has better prediction accuracy than the empirical formula for predicting peak temperature and power loss for all cases.

References

1.
Mancuso
,
J. R.
,
1999
,
Couplings and Joints: Design, Selection & Application
,
CRC Press
,
Boca Raton, FL
.
2.
Calistrat
,
M. M.
,
1976
, “
Metal Diaphragm Coupling Performance
,”
Proceedings of the Fifth Turbomachinery Symposium
,
Texas A&M Univ.
,
TX, Oct
. 1976, pp.
117
123
.https://oaktrust.library.tamu.edu/bitstream/handle/1969.1/163817/T5pg117-124.pdf?sequence=1&isAllowed=y
3.
Farhadi
,
D.
,
Tolou
,
N.
, and
Herder
,
L.
,
2015
, “
A Review on Compliant Joints and Rigid-Body Constant Velocity Universal Joints Toward the Design of Compliant Homokinetic Couplings
,”
ASME J. Mech. Des.
,
137
(
3
), p.
32301
.10.1115/1.4029318
4.
Calistrat
,
M. M.
,
1985
, “
Design of Coupling Enclosures
,”
Proceedings of the 14th Turbomachinery Symposium
,
Texas A & M Univ
.,
TX
, pp.
51
58
.https://core.ac.uk/download/pdf/87265864.pdf
5.
Thompson
,
A.
,
Zhai
,
T.
,
Palazzolo
,
A.
, and
Keshmiri
,
A.
,
2016
, “
Coupling Guard Temperature and Windage Power Loss: CFD Analysis and Experiments
,”
Proceedings of the 45th Turbomachinery and 32nd Pump Symposia
,
Houston, TX
, Sep. 12–15.https://core.ac.uk/download/pdf/79655538.pdf
6.
API
,
2007
, “
Special Purpose Coupling for Petroleum, Chemical, and Gas Industry Services
,” 4th ed.,
American Petroleum Institute
,
Washington, DC
, Standard No. 671.
7.
Mills
,
A. F.
,
1999
,
Basic Heat and Mass Transfer
,
Pearson College Div
,
Upper Saddle River, NJ
.
8.
Aydin
,
O.
,
2005
, “
Effects of Viscous Dissipation on the Heat Transfer in a Forced Pipe Flow—Part 2: Thermally Developing Flow
,”
Energy Convers. Manage.
,
46
(
18–19
), pp.
3091
3102
.10.1016/j.enconman.2005.03.011
9.
Diab
,
Y.
,
Ville
,
F.
,
Changenet
,
C.
, and
Velex
,
P.
,
2003
, “
Windage Losses in High Speed Gears: Preliminary Experimental and Theoretical Results
,”
ASME Paper No. DETC2003/PTG-48115
.10.1115/DETC2003/PTG-48115
10.
Johnson
,
G.
,
Simmons
,
K.
, and
Foord
,
C.
,
2007
, “
Experimental Investigation Into Windage Power Loss From a Shrouded Spiral Bevel Gear
,”
ASME Paper No. GT2007-27885
.10.1115/GT2007-27885
11.
Rapley
,
S.
,
Eastwick
,
C.
, and
Simmons
,
K.
,
2007
, “
The Application of CFD to Model Windage Power Loss From a Spiral Bevel Gear
,”
ASME Paper No. GT2007-27879
.10.1115/GT2007-27879
12.
Jiang
,
T.
,
2010
, “
The Research of New Approaches to Coupling Windage Problem Based on Pressure Experiments and Analysis
,”
ASME Early Career Tech. J.
,
9
(
9–18
).
13.
Calistrat
,
M. M.
,
1990
, “
Recent Case Histories With Coupling Enclosures
,”
Proceedings of the 19th Turbomachinery Symposium
,
Texas A&M Univ
.,
TX
, pp.
37
42
.https://core.ac.uk/download/pdf/147259119.pdf
14.
Carter
,
D.
,
Martin
,
G.
, and
Joseph
,
P.
,
1994
, “
The Baffling and Temperature Prediction of Coupling Enclosures
,”
Proceedings of the 23rd Turbomachinery Symposium
,
Texas A&M Univ.
,
TX
, Sept. 13–15, pp.
115
124
.https://oaktrust.library.tamu.edu/bitstream/handle/1969.1/163491/T23115-124.pdf?isAllowed=y&sequence=1
15.
CFX-Solver, ANSYS
,
2006
, “
Theory Guide. Release ll
,”
ANSYS
,
Canonsburg, PA
.
16.
Mortazavi
,
F.
, and
Palazzolo
,
A.
,
2018
, “
Prediction of Rotordynamic Performance of Smooth Stator-Grooved Rotor Liquid Annular Seals Utilizing Computational Fluid Dynamics
,”
ASME J. Vib. Acoust.
,
140
(
3
), p.
031002
.10.1115/1.4038437
17.
Hill
,
J.
,
Kunz
,
F.
,
Medvitz
,
B.
,
Handschuh
,
F.
,
Long
,
N.
,
Noack
,
W.
, and
Morris
,
J.
,
2011
, “
CFD Analysis of Gear Windage Losses: Validation and Parametric Aerodynamic Studies
,”
ASME J. Fluids Eng.
,
133
(
3
), p.
031103
.10.1115/1.4003681
18.
Bergman
,
T. L.
,
Incropera
,
F. P.
,
Lavine
,
A. S.
, and
DeWitt
,
D. P.
,
2011
,
Introduction to Heat Transfer
,
Wiley
,
Hoboken, NJ
.
19.
Lawson
,
J.
,
Li
,
Y.
, and
Sale
,
C.
,
2011
, “
Development and Verification of a Computational Fluid Dynamics Model of a Horizontal-Axis Tidal Current Turbine
,”
ASME Paper No. OMAE2011-49863
. 10.1115/OMAE2011-49863
20.
Mortazavi
,
F.
,
2018
, “
CFD-Based Impeller and Seal Rotordynamic Forces
,” Doctoral dissertation,
Texas A&M University
,
TX
.
21.
ANSYS, Inc.
,
2017
, “
ANSYS CFX-Solver Theory Guide Release 18.0
,”
ANSYS, Canonsburg
,
PA
.
22.
Calistrat
,
M. M.
,
1993
, “
Hydraulic Removal of Coupling Hubs-Keyed and Keyless
,”
Proceedings of the 22nd Turbomachinery Symposium
,
Texas A&M Univ.
,
TX
, pp.
153
160
.https://www.academia.edu/35184668/HYDRAULIC_REMOVAL_OF_COUPLING_HUBS_KEYED_AND_KEYLESS
23.
Choy
,
C.
,
2015
,
Effective Medium Theory: Principles and Applications
,
Oxford University Press
, Oxford,
UK
.
24.
Ferreira
,
C.
,
Bruns
,
E.
,
Ferreira
,
S.
,
Matos
,
D.
,
David
,
M.
,
Brandao
,
C.
,
Da Silva
,
P.
,
Portugal
,
L. A.
,
Dos Reis
,
S.
,
Souza
,
S.
, and
Dos Santos
,
L.
,
2007
, “
Box-Behnken Design: An Alternative for the Optimization of Analytical Methods
,”
Anal. Chim. Acta
,
597
(
2
), pp.
179
186
.10.1016/j.aca.2007.07.011
25.
Veronica
,
C.
,
1999
, “
One-Factor-at-a-Time Versus Designed Experiments
,”
Am. Stat.
,
53
(
2
), pp.
126
131
.
26.
Rasmussen
,
E.
,
2003
, “
Gaussian Processes in Machine Learning
,”
Summer School on Machine Learning
,
Springer
,
Berlin
, pp.
63
71
.
27.
Guttorp
,
P.
, and
Gneiting
,
T.
,
2006
, “
Studies in the History of Probability and Statistics XLIX on the Matern Correlation Family
,”
Biometrika
,
93
(
4
), pp.
989
995
.10.1093/biomet/93.4.989
28.
Pacheco
,
E.
,
Amon
,
H.
, and
Finger
,
S.
,
2003
, “
Bayesian Surrogates Applied to Conceptual Stages of the Engineering Design Process
,”
ASME J. Mech. Des.
,
125
(
4
), pp.
664
672
.10.1115/1.1631580
29.
Manikandan
,
S.
,
2010
, “
Preparing to Analyse Data
,”
J. Pharmacol. Pharmacother.
,
1
(
1
), p.
64
.10.4103/0976-500X.64540
30.
Bland
,
J. M.
, and
Altman
,
D. G.
,
1996
, “
Transformations, Means, and Confidence Intervals
,”
Br. Med. J.
,
312
(
7038
), p.
1079
.10.1136/bmj.312.7038.1079
31.
Manikandan
,
S.
,
2010
, “
Data Transformation
,”
J. Pharmacol. Pharmacother.
,
1
(
2
), p.
126
.10.4103/0976-500X.72373
32.
Bland
,
J. M.
, and
Altman
,
D. G.
,
1996
, “
Statistics Notes: Transforming Data
,”
Br. Med. J.
,
312
(
7033
), p.
770
.10.1136/bmj.312.7033.770
33.
Mendoza
,
C.
,
1994
, “
A Theorem for Rayleigh's Method of Dimensional Analysis and Its Proof
,”
Mech. Res. Commun.
,
21
(
2
), pp.
103
107
.10.1016/0093-6413(94)90081-7
34.
Park
,
C.
,
Huang
,
J. Z.
, and
Ding
,
Y.
,
2012
, “
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression
,”
J. Mach. Learn. Res.
,
13
(
2012
), pp.
775
779
.https://www.jmlr.org/papers/volume13/park12a/park12a.pdf
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