MODELING & OPTIMIZATION OF DUAL-BORE OIL DEBRIS MONITORING - - PowerPoint PPT Presentation

MODELING & OPTIMIZATION OF DUAL-BORE OIL DEBRIS MONITORING SYSTEM

ECE Team 2016, ME Team 25 Timothy Beacham (ECE), XuDong (Andy) Lu (ECE), Ryan Pyrch (ECE), Gursimran Kainth (ME), Elizabeth Soha (ME) ECE Faculty Advisor: Necmi Biyikli ME Faculty Advisors: Julian Norato Industry Sponsor: Pratt & Whitney

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Final Presentation 4/27/2020

Agenda

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• Project Overview

○ Pratt & Whitney ○ Problem statement

• Solution

○ Dual-Bore ODM ○ Analog Filter

• Constraints
• Results
• Project Management

○ RACI ○ Parts List ○ Budget ○ Gantt Chart

• Summary

Figure 1: 3D Model of a jet engine [1] Figure 2: Model of the magnetic field produced by an electromagnet [2] Project Overview | Solution | Constraints | Results | Project Management

Pratt & Whitney

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• Pratt & Whitney is an industry leader in the design,

manufacturing and service of aircraft engines and auxiliary power units.

• Pratt & Whitney provides aircraft engines that are

used worldwide in commercial and military applications.

Project Overview | Solution | Constraints | Results | Project Management Figure 3: Image of Pratt and Whitney Engine Turbine [3]

Problem Statement

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Requirements and Specifications:

• Model magnetic field interactions between

excitation coils Deliverables:

• Experimental Data
• Determine optimal configuration of the

design

Figure 4: Model of an ODM configuration [4]

Background:

• Senses debris in flow path

○ Indicate the stage of the engine life ○ Detects and prevents engine failure

• Need for Dual-Bore ODM stems from failure

due to back pressure

Project Overview | Solution | Constraints | Results | Project Management

Dual-Bore ODM Setup

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Figure 9: Physical model of the Dual-Bore ODM powered by the function generator with the sensing coil outputs displayed on an oscilloscope

• Dual-Bore ODM
• Tektronix TBS1064

○ Oscilloscope

• Tektronix AFG1022

○ Function Generator

Figure 8: Completed physical model

• f an ODM configuration. Each ODM

consists of two field coils and a sensing coil Project Overview | Solution | Constraints | Results | Project Management

Excitation Band Pass Filter

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Figure 10: 125 kHz Band Pass Filter Schematic Figure 11: 250 kHz Band Pass Filter Schematic

Purpose:

• Create a smoother excitation voltage
• Remove noise
• Detect particles effectively

Project Overview | Solution | Constraints | Results | Project Management

Resources

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• Tektronix TBS1064 allows a maximum of

2,500 data points per sample

• Inability to sample at Nyquist Rate due to

the speed of pulling the particle

• Sampling at 250 Hz

Figure 5: Tektronix TBS1000 series Oscilloscope [5] Project Overview | Solution | Constraints | Results | Project Management

Quality

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• Aliasing

○ Sampling Below the Nyquist Rate ○ Results in a component of the signal

Figure 7: Plots showing the importance of the Nyquist Rate [7] Figure 6: Plot showing the effects of aliasing a signal [6] Project Overview | Solution | Constraints | Results | Project Management

Physical Model Testing

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Particle location prior to being pulled through system 2 in. 0.25 in.

Project Overview | Solution | Constraints | Results | Project Management Figure 8: Particle used Figure 9: Physical Model Video 1: Pulling particle through physical model

Analog Filter Frequency Response

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Figure 10: 125 kHz Band Pass Filter Voltage vs. Frequency Plot Figure 11: 250 kHz Band Pass Filter Voltage vs. Frequency Plot

• 125 kHz Band Pass Filter

○ Designed Peak Frequency at 125.893 kHz ○ 0.7144 percent error

• 250 kHz Band Pass Filter

○ Designed Peak Frequency at 251.189 kHz ○ 0.4756 percent error

Project Overview | Solution | Constraints | Results | Project Management

Dual Bore ODM Experimental Results

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Project Overview | Solution | Constraints | Results | Project Management

• Experimental Setup

○ 3.4 VRMS ○ 250 kHz ○ Particle Pulled through ODM 1

• Data shows obvious change when particle

is pulled through ODM 1 ○ Voltage spiked by 1.88 VRMS

Figure 12: Plot of data during pulling particle through ODM

Dual Bore ODM Experimental Results (cont.)

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Project Overview | Solution | Constraints | Results | Project Management

• Particle detected in respective ODM
• Minimal interference
• Insignificant change in sensing coil in

ODM 2

Figure 13: Zoomed in plot of pulling particle through the ODM

Schedule

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Project Overview | Solution | Constraints | Results | Project Management

Test Matrix

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Project Overview | Solution | Constraints | Results | Project Management

Obtained Objectives

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Physical Model

• Built Dual-Bore ODM
• EMI Tape to Eliminate Interference

Testing

• Minimal Interference Detected
• Detects Particles Within Respective ODM

Analysis

• Supported Initial Claims
• Matches ANSYS Simulations

Project Overview | Solution | Constraints | Results | Project Management

Roles and Responsibilities

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Project Overview | Solution | Constraints | Results | Project Management

Budget

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Project Overview | Solution | Constraints | Results | Project Management

Sources

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1. https://www.researchgate.net/profile/Ihsan_ABaqer/publication/328531263_ROTOR_DYNAMICS/links/5bd2dceea6fdc c3a8da6bc45/ROTOR-DYNAMICS.pdf 2. https://ridingmode.com/how-electromagnets-work/ 3. https://www.americanmachinist.com/news/article/21903188/pratt-whitney-wins-57b-f135-engine-contract 4. https://apps.dtic.mil/dtic/tr/fulltext/u2/p010191.pdf 5. https://www.tek.com/datasheet/digital-storage-oscilloscopes 6. https://www.linkedin.com/pulse/vibration-signal-processing-sampling-aliasing-kishore-kumar-agguna/ 7. http://195.134.76.37/applets/AppletNyquist/Appl_Nyquist2.html 8. https://prattwhitney.com/products-and-services/products Project Overview | Solution | Constraints | Results | Project Management