Abstract

The spring tube is the core component of the hydraulic servovalve, and its stiffness characteristics determine the sensitivity of the servovalve. For the difficulty in measuring and ensuring the stiffness of spring tube in complex structures, based on the principle of structural characteristics and stiffness measurement, an effective method for measuring and evaluating the stiffness of spring tube was proposed. First, by the force analysis of the spring tube in the valve structure, using improved stiffness measurement theory, an equivalent measurement model of single-arm is established. Second, the stiffness measurement system of the spring tube is constructed based on this model. Furthermore, using the deformation and the spatial position recurrence method, the accuracy of the measurement system is further improved. Thirdly, using the orthogonal test method and linear optimization method of the neural network model, the stiffness characteristics of the spring tube under the influence of different factors are studied further. Finally, the validity of the models is verified by using the software comsol and the experimental platform. The stability of the effective stiffness for the spring tube is further analyzed by the measurement data. The contribution and novelty of this paper are that based on the force analysis of the spring tube in the servovalve internal structure, an effective and systematic stiffness measurement and evaluation method are proposed. On this basis, experiments and stiffness characteristics analysis are carried out. Furthermore, several structural factors affecting the stiffness characteristics of spring tube are considered, and the stiffness characteristics of spring tube are systematically studied and analyzed. Based on this research and analysis, the systematic study of measurement and characteristics of precision components is very important for practical complex systems in this field. This makes it possible to further study the measurement of precision components which are difficult to measure in the actual structure. It is instructive to study the characteristics of precision components in complex structures.

References

1.
Yuan
,
C.
,
Pan
,
M.
, and
Andrew
,
P.
,
2020
, “
A Review of Switched Inertance Hydraulic Converter Technology
,”
ASME J. Dyn. Syst. Meas. Control
,
142
(
5
), p.
050801
.10.1115/1.4046103
2.
You
,
B.
,
2018
, “
Finite Element Analysis of Interference Connection of Armature Component Assembly of Electro-Hydraulic Servo Valve
,”
Mech. Sci. Technol. Aerosp. Eng.
,
5
, pp.
768
772
.10.13433/j.cnki.1003-8728.2018.0516
3.
You
,
B.
, and
Wang
,
X. D.
,
2018
, “
Precision Pressing Technology and Equipment for Armature Component Assembly
,”
Mech. Des. Manuf.
,
30
(
3
), pp.
89
92
.10.19356/j.cnki.1001-3997.2018.03.042
4.
Henclik
,
S.
, and
Maurin
,
A.
,
2019
, “
Determination of the Stiffness Matrix of Flat Springs for Modeling of the Boundary Condition at a Pipeline Support
,”
Mech. Syst. Signal Process.
,
123
, pp.
102
116
.10.1016/j.ymssp.2018.12.047
5.
Xu
,
W. X.
, and
Wu
,
Y. B.
,
2019
, “
Piezoelectric Actuator for Machining on Macro-to-Micro Cylindrical Components by a Precision Rotary Motion Control
,”
Mech. Syst. Signal Process.
,
114
, pp.
439
447
.10.1016/j.ymssp.2018.05.035
6.
Chen
,
G.
,
Sun
,
Y.
,
An
,
C.
,
Zhang
,
F.
,
Sun
,
Z.
, and
Chen
,
W.
,
2018
, “
Measurement and Analysis for Frequency Domain Error of Ultra-Precision Spindle in a Fly-Cutting Machine Tool
,”
J. Eng. Manuf.
,
232
(
9
), pp.
1501
1507
.10.1177/0954405416673102
7.
Xu
,
Y.
,
2017
, “
Uncertainty Assessment of Measurement Value of Indication Error of Precision Pressure Gauge
,”
Meas. Sci. Technol.
,
38
(
14
), pp.
46
55
.10.16009/j.cnki.cn13-1295/tq.2016.04.021
8.
Lou
,
C. S.
,
Zhang
,
J.
, and
Cheng
,
D. J.
,
2018
, “
Small Precision Motion Platform Based on Stick-Slip Driving Principle
,”
Optim. Precis. Eng.
,
26
(
5
), pp.
8
12
.10.3788/OPE.20182605.1124
9.
Li
,
S. J.
, and
Lu
,
X. B.
,
2017
, “
Fluid-Solid Coupling Characteristics of the Front Stage of Nozzle Baffle Servo Valve
,”
Hydraul. Pneumat.
,
6
(
1
), pp.
4
8
.10.11832/j.issn.1000-4858.2017.06.001
10.
Yang
,
J. X.
,
2013
, “
Research on Stiffness Detection Technology of Spring Tube and Feedback Rod Based on CCD
,”
J. Harbin Inst. Technol. Pressure
,
45
(
3
), pp.
256
263
.10.4028/www.scientific.net/AMM. 469.231
11.
Huang
,
H. H.
,
Ding
,
H.
,
Cheng
,
K.
,
Zhao
,
L.
, and
Ma
,
S. W.
,
2019
, “
Investigation on an Industrial-Feasible Approach for Measurement and Assessment of Large-Sized Microstructured Surfaces Based on Grayscale Matching
,”
J. Eng. Manuf.
,
233
(
4
), pp.
1310
1316
.10.1177/0954405417711969
12.
Karayel
,
V.
,
Yuksel
,
E.
,
Gokce
,
T.
, and
Sahin
,
F.
,
2017
, “
Spring Tube Braces for Seismic Isolation of Buildings
,”
Earthquake Eng. Eng. Vib.
,
16
(
1
), pp.
219
225
.10.1007/s11803-017-0378-9
13.
Tanaka
,
Y. D.
, and
Yabuno
,
H. S.
,
2016
, “
Measurement of Softening Cubic Nonlinear and Negative Linear Stiffness Using Van Der Pol Type Self-Excited Oscillation
,”
Nonlinear Dyn.
,
83
(
1–2
), pp.
283
292
.10.1007/s11071-015-2325-5
14.
Melekaev
,
M. A.
, and
Yanushkin
,
V. N.
,
2018
, “
Modernization of Instruments for Measurement of Linear and Angular Displacements on the Foundation of a Precision Extremal Measurement System
,”
Meas. Technol.
,
60
(
12
), pp.
1243
1249
.10.1007/s11018-018-1347-z
15.
Zhang
,
F. L.
,
Yuan
,
Z. H.
,
Zhang
,
F. Z.
, and
Liang
,
N.
,
2019
, “
The Analysis and Estimation of Vibration Fatigue for Pipe Fitting in Aviation Hydraulic System
,”
Eng. Failure Anal.
,
105
, pp.
837
855
.10.1016/j.engfailanal.2019.07.038
16.
Vanwalleghem
,
J.
,
De Baere
,
I.
,
Loccufier
,
M.
, and
Van Paepegem
,
W.
,
2018
, “
Development of a Test Rig and a Testing Procedure for Bicycle Frame Stiffness Measurements
,”
Sports Eng.
,
21
(
2
), pp.
75
80
.10.1007/s12283-017-0248-8
17.
Lee
,
C.
,
Zolfaghari
,
A.
,
Kim
,
G. H.
, and
Jeon
,
S.
,
2019
, “
An Optical Measurement Technique for Dynamic Stiffness and Damping of Precision Spindle System
,”
Measurements
,
131
, pp.
61
70
.10.1016/j.measurement.2018.08.049
18.
Chen
,
M. S.
,
Ding
,
W. J.
, and
Zhu
,
X. J.
,
2018
, “
Application of High-Speed CCD in Connector Automation Detection Direction
,”
IEEE-ASME Trans. Machine
,
2
(
38
), pp.
10
12
.
19.
Qian
,
H. L.
,
Meng
,
B. W.
, and
Yuan
,
H. J.
,
2017
, “
Full Field of View Polarization Effect Measurement and Error Analysis of Non-Polarized Channels of Spaceborne Directional Polarimetric Camera
,”
Acta Phys. Sin.
,
66
(
10
), pp.
32
38
.10.7498/aps.66.100701
20.
Cao
,
J. H.
, and
Liu
,
Y. S.
,
2018
, “
Nonparametric Model Study of Aeronautical Pipeline Dynamics
,”
J. Vib. Shock
,
38
(
17
), pp.
44
52
.10.13465/j.cnki.jvs.2018.18.006
21.
Bao
,
J. H.
,
Lu
,
Z. Y.
, and
Xu
,
B.
,
2017
, “
Analysis of the Influence of Spring Tube Stiffness on Servo System of Double Nozzle Baffle Servo Valve
,”
Hydraul. Pneumat.
,
5
(
1
), pp.
6
10
.10.11832/j.issn.1000-4858.2017.05.002
22.
Chang
,
G.
,
Xu
,
T.
,
Wang
,
Q.
, and
Liu
,
M.
,
2017
, “
Analytical Solution to and Error Analysis of the Quarternion Based Similarity Transformation Considering Measurement Errors in Both Frames
,”
Measurement
,
110
, pp.
1
15
.10.1016/j.measurement.2017.06.013
23.
Krzysztof
,
T.
,
2019
, “
Influence of Monte Carlo Generations Applied for Modeling of Measuring Instruments on Maximum Distance Error
,”
Trans. Inst. Meas. Control
,
41
(
1
), pp.
74
84
.10.1177/0142331217753062
24.
Amirhossein
,
A.
,
Reza
,
G.
, and
Mohammad
,
R. M.
,
2018
, “
On the Effect of Measurement Errors in Simultaneous Monitoring of Mean Vector and Covariance Matrix of Multivariate Processes
,”
Trans. Inst. Meas. Control
,
40
(
1
), pp.
318
330
.10.1177/0142331216656756
25.
Peng
,
J. H.
,
2011
,
Study on Multi-Field Coupling Vibration Characteristics of Armature Component Assembly in a Hydraulic Servo Valve Torque Motor
,
Harbin Institute of Technology Press
,
Harbin, China
, Chap.
3
.
26.
Wang
,
Z. L.
,
1987
,
Hydraulic Servo Control
,
Beijing Aviation Academy Press
,
Beijing, China
, Chap.
4
.
27.
Hessling
,
J. P.
,
2009
, “
Models of Dynamic Measurement Error Variations of Material Testing Machines
,”
Mech. Syst. Signal Process.
,
23
(
8
), pp.
2510
2518
.10.1016/j.ymssp.2009.05.009
28.
Li
,
Y. F.
,
2007
,
Research on Precision Measurement Technology of Spring Tube Stiffness in Electro-Hydraulic Servo Valve
,
Harbin Institute of Technology Press
,
Harbin
, Chap. 4, pp.
25
34
.
29.
Fu
,
L. J.
,
Bao
,
Z. X.
,
Chen
,
Z. Z.
, and
Huang
,
K. J.
,
2003
, “
Combination of Orthogonal Experimental Method, Neural Networks and Genetic Algorithms
,”
J. Nanchang Univ. (Eng. Technol.)
, 1, 25(3), pp.
81
83
.
30.
Hao
,
J.
,
Suo
,
S.
,
Yang
,
Y.
,
Wang
,
Y.
,
Wang
,
W.
, and
Chen
,
X.
,
2020
, “
Optimization of Torque Ripples in an Interior Permanent Magnet Synchronous Motor Based on the Orthogonal Experimental Method and MIGA and RBF Neural Networks
,”
IEEE Access
,
8
, pp.
27202
27206
.10.1109/ACCESS.2020.2971473
31.
Chu
,
Y. B.
,
2017
,
Research on the Durability and Reliability of Jet Pipe Servo Valve
,
Northwestern Polytechnical University Press
,
Xi'an, China
, pp.
16
24
.
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