Model Based Design, Optimization, and Prototyping of Inductive Coil - - PowerPoint PPT Presentation

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Model Based Design, Optimization, and Prototyping of Inductive Coil - - PowerPoint PPT Presentation

Model Based Design, Optimization, and Prototyping of Inductive Coil Based Oil Debris Monitoring System With Multiple Flow Passages ECE Team 2016: XuDong Lu (ECE), Timothy Beacham (ECE), Ryan Pyrch (ECE) Joint with ME Team 25: Elizabeth Soha


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SLIDE 1

Model Based Design, Optimization, and Prototyping

  • f Inductive Coil Based Oil Debris Monitoring

System With Multiple Flow Passages

ECE Team 2016: XuDong Lu (ECE), Timothy Beacham (ECE), Ryan Pyrch (ECE) Joint with ME Team 25: Elizabeth Soha (ME), Gursimran Kainth (ME) ECE Faculty Advisor: Necmi Biyikli ME Faculty Advisor: Julian Norato Sponsor: Pratt and Whitney Sponsor Advisors: Ramesh Rajagopalan, Sheridon Haye, Edward Rocco

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SLIDE 2

Project Overview

  • Design a Dual-Bore Oil Debris

Monitoring (ODM) System

○ Used in both commercial and military airplanes ○ Detects ferrous and non-ferrous material within turbine ○ Monitors wear and tear

  • Provides an alert/warning of failure of

mechanical components

○ Gears, bearings, pumps, & etc.

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SLIDE 3

Problems with Current Single-Bore Design

  • Unable to detect smaller debris

○ When Bore size is increased ■ Pressure decreases ■ Size of particle detection decreases

○ When Bore size is decreased

■ Pressure increases

Size of particle detection increases

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SLIDE 4

Requirements & Specifications

  • ODM sensors in parallel
  • Study magnetic field interactions

○ Characteristics of dual bore ○ Sizing, and configuration

  • Design and build the Dual-Bore ODM system

○ Ability for particle detection ○ Optimize the design of a multi-bore ODM System Configuration ○ Advanced indication of Component failure

  • Build, Test and Analyze physical model
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SLIDE 5

Constraints

  • Issues with interaction between magnetic fields

○ How we combat the interaction: ■ Changing distance between ODM systems ■ One coil wound to the right the other to the left ■ Magnetic Shield in between the ODM systems

  • Operation under extreme conditions
  • Pressure in oil passageway

○ Large diameter required

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SLIDE 6

Approach

  • Build multiple magnetic field assemblies and configurations

○ Use of PVC Piping as flow passage ○ Use of different sizes copper wiring for the coils ○ Validate models ○ Optimal configuration

  • Determine optimal coil placement to minimize or leverage

interference

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SLIDE 7

Design Ideas

  • Using Hall Effect Sensor
  • Using Sensing Coil
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SLIDE 8

Solution

Sensing Coil:

  • Location is permanent

and allows accurate results

  • Ease of ability to replicate

results

  • Easily able to determine

the difference between just the inductive coil and the inductive coil with particles

  • Less expensive

Physical Model Setup Sensing Coil Inductive Coil Inductive Coil

Hall Effect Sensor:

  • Precise location of sensor

required to obtain good reading

  • Inaccurate
  • Difficulty telling the

difference between just the inductive coil and the inductive coil with particles

  • More expensive
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SLIDE 9

Single Bore Preliminary Results

  • Sensing Coil Detecting Inductive Coils
  • Particle Detection Analysis
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SLIDE 10

Dual Bore Preliminary Results

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SLIDE 11

Dual Bore Preliminary Results (cont.)

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SLIDE 12

Fall Timeline

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SLIDE 13

Spring Timeline

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SLIDE 14

Responsibilities

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SLIDE 15

Budget

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SLIDE 16

Next Steps

Single Bore:

  • Optimizing detection strength of

the sensing coil by altering various variables ○ Wire Gauge ○ Number of Turns ○ Inside Diameter ○ Input Voltage ○ Input Frequency Dual Bore:

  • Limiting interference between

each bore

  • Using Dual Bore to detect a

particle passing through the coil setup

  • Optimizing spacing and strength
  • f each coil setup
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SLIDE 17

References

[1]

  • D. Muir and B. Howe, “In-Line Oil Debris Monitor (ODM) for the Advanced Technical Fighter Engine” in Technology

Showcase: Integrated Monitoring, Diagnostics and Failure Prevention, Mobile, Alabama, 1996. [2]

  • J. P

. Davis, “Electronic Interface for an Inductive Wear Debris Sensor for Detection of Ferrous and Non-Ferrous Particles”, M.S. thesis, College of Eng., Univ. Akron, Akron, OH, 2013.

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SLIDE 18

Questions?