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High-Performance Glider Design & Fabrication

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Akilesh Yelchuru

Project Timeline

Feb 2024 - Current

OVERVIEW

Designed and built an efficient, unpowered glider capable of maximizing glide ratio and structural performance under realistic aerospace constraints. The project involved optimizing a lightweight fuselage and high-aspect-ratio wings in Siemens NX, performing structural and aerodynamic trade studies, and validating performance through MATLAB simulations and scaled model testing. This effort deepened my expertise in balancing lift, drag, and weight while managing cost and documentation under a multidisciplinary workflow.

HighlightS

  • Delivered a glider achieving a 20% higher lift-to-drag ratio than baseline designs.
  • Met or exceeded targets for glide range, structural resilience, and weight efficiency.
  • Conducted structural and material trade studies to select carbon fiber composites for stiffness-to-weight benefits.
  • Modeled and refined aerodynamic shape using Siemens NX and CFD-based analysis.
  • Validated performance through MATLAB simulations and physical prototyping.
  • Managed documentation, cost tracking, and performance benchmarks for project deliverables

SKILLS

Aerodynamic modelingCAD (Siemens NX)Structural optimizationComposite material selectionMATLAB simulationsCFD-based analysisProject managementEngineering trade studiesTechnical documentation

SUPPORTING MATERIALS

Additional Details


Project Details

Designed and built a performance-optimized glider using carbon-reinforced foam components to meet strict dimensional (≤ 4ft x 4ft x 1ft) and weight (< 2 kg) constraints. The project followed a full aerospace engineering lifecycle, including design exploration, aerodynamic sizing, CAD modeling, and theoretical performance validation. The final airframe combined a high-aspect-ratio wing with a streamlined fuselage to balance glide efficiency with structural robustness.


Key features include a low-Reynolds-number SD7037 airfoil for laminar flow stability, a calculated glide ratio of ~40:1, and tail volume coefficients selected for optimal longitudinal and directional stability. The design process incorporated multiple airframe concepts, including inspirations from ASH-30mi and Swift S-1, which were ultimately hybridized into a custom configuration. Structural sizing, CG analysis with/without payload, and lift/drag estimation were carried out manually and validated against expected flight behavior.


All major components were 3D-modeled in Siemens NX, and material selection favored lightweight polyurethane foam reinforced by acrylic elements. The predicted unpowered glide range was ~64 meters from a 1.5-meter drop, with no propulsion or stored energy used. The entire project was conducted under NASA-inspired systems engineering principles, with documented roles, reviews, and testable performance metrics.


Bill of Materials (BOM)

The following table lists the components used in the prototype, including part numbers, quantities, materials, estimated costs, and potential suppliers.


Item

Component

Part Description

Qty

Material

Cost (USD)

Source / Notes

1

Wing Core

High-aspect foam wing panels

2

Polyurethane Foam

$20.00

Cut to shape, reinforced internally

2

Fuselage Block

Streamlined center-body structure

1

Polyurethane Foam

$15.00

CNC trimmed for balance

3

Tail Surfaces

Horizontal and vertical stabilizers

2

Foam & Acrylic Rods

$10.00

Custom dimensions based on stability ratios

4

Structural Reinforcements

Spars, ribs, joints

6

Acrylic

$12.00

Support load transfer at critical joints

5

Adhesive (structural)

Foam-safe epoxy

1

5-min Epoxy

$6.00

Used for key bond locations

6

Payload Compartment Housing

Box enclosure embedded in fuselage

1

Plastic

$5.00

Houses 43g payload (4” x 3” x 5”)

7

Surface Finish

Sandpaper + surface treatment

1

N/A

$3.00

Polishing for reduced surface drag

8

Paint Marker for Visibility

Wing and tail edge markings

1

Acrylic Paint

$2.00

Non-reflective coating





Data & Control System (Non-Physical)

No onboard electronics or actuation were used. However, MATLAB scripts were utilized to:

  • Calculate Reynolds number, lift and drag forces
  • Predict glide ratio and range
  • Analyze center of gravity shifts with payload
  • Estimate stability coefficients (horizontal and vertical tail volume ratios

These analytical results guided the component sizing, aerodynamic shaping, and balance decisions in the final CAD model and prototype fabrication.

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