Rotating machinery, optical methods & scanning LDV methods. Volume 6 [electronic resource] : proceedings of the 38th IMAC, a Conference and Exposition on Structural Dynamics 2020 / Dario Di Maio, Javad Baqersad, editors.
Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020, the sixth volume of eight from the Conference brings together contributions to this important area of research and engineering. The collec...
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Full Text (via Springer) |
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| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2020.
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| Series: | Conference proceedings of the Society for Experimental Mechanics series.
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Table of Contents:
- 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.