1 TREDS The Hard Boilers: Chris Chapman Megan Kalend See Vang ENGR 5 University of the Pacific.

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1 TREDS The Hard Boilers: Chris Chapman Megan Kalend See Vang ENGR 5 University of the Pacific
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Transcript of 1 TREDS The Hard Boilers: Chris Chapman Megan Kalend See Vang ENGR 5 University of the Pacific.

Page 1: 1 TREDS The Hard Boilers: Chris Chapman Megan Kalend See Vang ENGR 5 University of the Pacific.

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TREDS

The Hard Boilers:Chris ChapmanMegan Kalend

See Vang

ENGR 5University of the Pacific

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Overview

• Problem

• Approach

• Results

• Improvements

• Conclusions

• Acknowledgements

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Problem

• Refugees inhabiting a region across a thirty-foot wide river are in need of eggs. These must be delivered across the rebel-patrolled waters.

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Constraints

• Size requirements

• Timed delivery

• Range

• Target restrictions

• Egg delivered intact

• Cost efficiency

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Approach

• Preliminary Ideas

• Refinement

• Analysis

• Implementation

• Testing

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Preliminary Ideas

• Catapult or Trebuchet?– Pros– Cons

• EPU– Materials– Shape

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Catapult Refinement

• Implemented elastic power source in place of counterweight– Pros

– Cons

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EPU Refinement

• Material:

–Armaflex® rubber insulation

• Shape:

–Modified barbell

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Analysis• Conservation of Energy

• Elastic Energy

elasticelastic KEPE

22

2

1

2

1initialmvkx

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Analysis

• Projectile motion

ygvvinitialfinal yy 22

tgvvinitialfinal yy

tvxinitialx

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Implementation

• Using Laws of Conservation

• Logical Estimation

• Preliminary Platform

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Testing

• Trial Setup

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Results

• Final design

• Competition performance

• Analysis

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Successful Trial DataTrial Number

Radial Distance from Center (ft., in.)

1 0 ft. 1 in.

2 5 ft. 9 in.

3 3 ft. 1 in.

4 4 ft. 0 in.

5 4 ft. 0 in.

6 4 ft. 0 in.

7 4 ft. 4 in.

8 2 ft. 11 in.

9 5 ft. 1 in.

10 0 ft. 9 in.

11 5 ft. 4 in.

12 3 ft. 7 in.

13 0 ft. 6 in.

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Future Improvements

• Time Constraints– Allow for scheduling problems and last-minute

system checks

• Optimization– Optimize system in each step of design and

construction process

• Efficiency– Solve glitches to create a more effective

TREDS.

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Conclusions

• Constraints and Criteria• Final Design• Competition Performance• Improvements

• Any Questions???

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Acknowledgements

• Mr. Jared Lash of Saint Mary’s High School

• Michael Kalend