Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6

Name: Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 | Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020
Brand: Springer
Price: 213.99 EUR
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Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020

Dario Di Maio Javad Baqersad(Editor)

Springer (Publisher)

1st Edition

Published on 23. September 2020

VIII, 163 pages

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978-3-030-47721-9 (ISBN)

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Content

Intro
Preface
Contents
1 Paper Machine Winder Vibration Testing Using TVDFT
1.1 Introduction
1.1.1 Winder Basics
1.2 Transient Vibration Analysis
1.2.1 Rotational Speed Determination
1.2.2 Time Varying Discrete Fourier Transform Basics
1.3 Using TVDFT to Analyze Winder Vibration
1.4 Conclusion
References
2 Measurement Methods for Evaluating the Frequency Response Function of a Torque Converter Clutch
2.1 Introduction
2.2 Methods
2.2.1 Tri-Tone Method
2.2.2 Speed Step Method
2.2.3 Torque Step Method
2.2.4 Pseudo Random Excitation
2.3 Results
2.3.1 Speed Step Method
2.3.2 Torque Step Method
2.3.3 Pseudo Random Method
2.4 Discussion
2.5 Conclusion
References
3 Frequency-Domain Triangulation of Spatial Harmonic Motion for Single-Camera Operating Deflection Shape Measurement
3.1 Introduction
3.2 Frequency Domain Triangulation for Single-Camera 3D ODS Measurement
3.3 Multiview Imaging
3.4 Frequency-Domain Triangulation of Small Harmonic Motion
3.5 Experiment
3.6 Results and Conclusion
References
4 Investigating the Feasibility of Laser-Doppler Vibrometry for Vibrational Analysis of Living Mammalian Cells
4.1 Introduction
4.2 Materials and Methods
4.2.1 3D-Printing of Sample Holder
4.2.2 Cell Culture
4.2.3 Experimental Procedure and Setup
4.3 Results
4.4 Conclusion
References
5 Visio-Acoustic Data Fusion for Structural Health Monitoring Applications
5.1 Introduction
5.1.1 Background
5.1.2 Idea
5.2 Method
5.2.1 Process Microphone Data
Find Acoustic Source Frequencies
Compute Aliased Frequencies
5.2.2 Process Video Data
Obtain Motion from Video
Filter Video Data Based on Aliased Frequencies from Microphone Data
5.2.3 Segment Video Data
Use Level Set Method
Apply Segmentation Based on Power Values
5.3 Testing Performed
5.3.1 Experimental Set-Ups for the Recordings of Multiple Tuning Forks
Experimental Set-up for High-Frame Rate Camera
Experimental Set-Up for Smartphone (Low-Frame Rate Camera and High Sampling Rate Microphone)
5.3.2 Experimental Set-Up for Direct Comparison of Simultaneous Recordings
Experimental Set-Up for First Test Performed
Experimental Set-Up for Second Test Performed
Experimental Set-Up for Third Test Performed
5.4 Results
5.4.1 Experimental Results for the Recordings of Multiple Vibrating Tuning Forks
Experimental Results for High-Frame Rate Camera
Experimental Results for Smartphone, Low-Frame Rate Camera and High Sampling Rate Microphone
5.4.2 Experimental Results for Direct Comparison Experiments
Test 1
Test 2
Test 3
5.5 Conclusion
5.6 Future Work
References
6 Automatic Interpolation for the Animation of Unmeasured Nodes with Differential Geometric Methods
6.1 Introduction
6.2 Background
6.3 Measurement Setup
6.4 Analysis
6.5 Conclusion
References
7 Measurement and Analysis of the Nonlinear Stiffness of CFRP Components during Vibration Fatigue Testing
7.1 Introduction
7.2 Test Structure, Setup and Experimental Method
7.3 Base Excitation
7.4 Experimental Test
7.4.1 CFRP Specimens
7.4.2 Test Setup and Program
7.4.3 Test Sequence
7.4.4 Data Processing Validation
7.5 Results and Analysis
7.5.1 Thermoplastic Specimen
7.5.2 Thermoset Specimen
7.6 Conclusions
References
8 Model Reduction of Electric Rotors Subjected to PWM Excitation for Structural Dynamics Design
8.1 Introduction and State of the Art
8.2 PWM Synthesis and Stress Analysis
8.3 Results
8.4 Conclusion
References
9 Fast Computation of Laser Vibrometer Alignment Using Photogrammetric Techniques
9.1 Introduction
9.2 Demonstration Experiment
9.3 Laser Beams in 3D Space
9.4 Determining Laser Geometry Using Photogrammetry
9.4.1 Camera Calibration
9.4.2 Laser Spot Identification on Image
9.4.3 Triangulation
9.5 Conclusions
References
10 Photogrammetry-Based Structural Damage Detection by Tracking a Laser Line
10.1 Introduction
10.2 Methodology
10.2.1 Laser-Line-Tracking Technique
10.2.2 Experimental Modal Analysis of a Target Line
10.2.3 Structural Damage Detection Technique
10.3 Experimental Investigation
10.3.1 Experimental Setup
10.3.2 Experimental Modal Analysis Results
10.3.3 Structural Damage Identification Results
10.4 Conclusions
Acknowledgment
References
11 Measuring Aero-Engine Pipe Vibration with a 3D Scanning Laser Doppler Vibrometer
11.1 Introduction
11.2 Test Setup
11.3 Measurement Setup
11.4 Vibration Measurements
11.5 Summary
References
12 A "Mechanical" Vision of Image-Based Identification methods in Structural Dynamics
12.1 Introduction
12.2 Illumination
12.3 Surface Optical Behaviour and Sample Preparation
12.4 Optica Setup and Objectives
12.5 Image Quality: Focusing and Motion
12.6 New Acquisition Technologies
12.7 Measurement Uncertainty
References
13 Modelling of Guided Waves in a Composite Plate Through a Combination of Physical Knowledge and Regression Analysis
13.1 Introduction
13.2 Feature-Space Model Generation
13.2.1 Experiment Setup
13.2.2 Feature-Space Mapping
13.3 Results
13.3.1 One-Dimensional Model
13.3.2 Two-Dimensional Model
13.4 Conclusion
References
14 Improved FRF Estimation from Noisy High-Speed Camera Data Using SEMM
14.1 Introduction
14.2 Full-Field FRFs Estimation Using SEMM
14.2.1 System Equivalent Model Mixing
14.3 Results
References
15 Full-Field Modal Analysis by Using Digital Image Correlation Technique
15.1 Introduction
15.2 Digital Image Correlation
15.3 Experimental Analysis
15.3.1 Helicopter Tail Blade
High Speed Cameras Setup
Low Speed Cameras Setup
15.3.2 F16 Aircraft
15.4 Conclusions
References
16 Method for Selecting Rotor Suspension Design Criteria
16.1 Introduction
16.2 Rotor Dynamic Analysis Code and Rotor Model Description
16.3 Suspension Criteria Allowing Negotiation of Critical Speeds
16.4 Suspension Criteria to Avoid Internal Friction-Induced Instability
16.5 Summary
References
17 Implementation of Total Variation Applied to Motion Magnification for StructuralDynamic Identification
17.1 Introduction
17.2 Background
17.3 Analysis
17.4 Conclusion
References
18 A Complex Convolution Based Optical Displacement Sensor
18.1 Introduction
18.2 Background
18.2.1 The Complex Convolution Kernel Based Optical Sensor (KBOS)
Kernel Function Selection
Physical Marker Creation
Sampling
Displacement Measurement
18.3 Analysis
18.3.1 Implementation and Validation
Validation Testing
18.4 Conclusion
Appendix
References
19 Current Methods for Operational Modal Analysis of Rotating Machinery and Prospectsof Machine Learning
19.1 Introduction
19.2 Existing Methods for Operational Modal Analysis of Rotating Machinery
19.2.1 Methods Not Specifically Adapted for Input Harmonics
19.2.2 Reduction of Harmonics by Signal Preprocessing
19.2.3 Methods with Explicit Consideration of Input Harmonics
19.2.4 Methods with Implicit Consideration of Input Harmonics
19.3 Experimental Case Study
19.4 Conclusions
19.4.1 Discussion of Results and Future Work
19.4.2 Overview of Machine Learning for Vibration Analysis
References

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Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6

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