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Simulation & ValidationEngineering Study

Drone Airframe Topology Optimization & Structural Sizing

An aerial-survey drone needed more flight time without sacrificing payload or stiffness. We ran topology optimization, redesigned the frame in PETG-CF, and verified the result with modal and static FEA — 22% mass off the frame, no compromise on flight stack performance.

By YantriX Engineering · Mechanical Design Studio2 min readUAV / aerial survey
Topology-optimized drone frame in PETG-CF carbon-fibre filled PETG

Overview

Engineering Scope & Context

Topology-driven redesign of a survey drone frame in PETG-CF — dropped frame mass by 22% with no loss in stiffness, extending flight time by 6.4 minutes per sortie.

Engagement: Engineering Study

Discipline: Simulation & Validation

Project Type: Lightweight Structure Optimization

Application: UAV / aerial survey

Key specifications

Core engineering parameters & stack.

22%
Frame mass reduction
118 Hz
First natural frequency (≥ 110 Hz target)
+6.4 min
Flight time extension per sortie
2.4×
Static safety factor at worst landing

Objectives

What the project needed to achieve

  • Reduce frame mass without compromising structural stiffness or natural frequency
  • Preserve mounting points for the existing motor, camera gimbal, and avionics
  • Make the frame manufacturable on a small print farm (FDM with PETG-CF)
  • Verify with modal and static FEA before flight testing

Challenge

Engineering constraint

The client’s survey drone had a 720 mm wheelbase and a 1.85 kg all-up mass, of which the frame was 410 g. They needed an extra 5–10 minutes of flight time per sortie without sacrificing payload, structural stiffness, or vibration characteristics that the flight stack depends on.

Approach

How YantriX approached the work

  1. 01

    Mapped load paths from the four motors and payload through the frame to identify which members carried significant load versus which were structural dead weight.

  2. 02

    Ran topology optimization with a target mass-fraction of 60% subject to a worst-case landing load case and a modal-frequency constraint (first natural frequency ≥ 110 Hz).

  3. 03

    Translated the topology result into a manufacturable PETG-CF geometry, preserving every existing mounting point and routing channel.

  4. 04

    Validated the new frame with static FEA (landing impact, motor torque) and modal FEA, then printed and flight-tested.

Outcomes

What improved by the end

  • Frame mass dropped from 410 g to 320 g — 22% reduction
  • First natural frequency held at 118 Hz (target 110 Hz)
  • Static safety factor maintained at 2.4 under worst-case landing impact
  • Per-sortie flight time extended by 6.4 minutes in field testing

Deliverables

What the client receives

  • Topology-optimized frame CAD (SolidWorks + STEP)
  • Static and modal FEA reports
  • Print parameters and DfAM notes for PETG-CF
  • Flight-test plan and field-validation report

Tools used

Stack and tooling

  • Altair Inspire (topology optimization)
  • ANSYS Mechanical (static and modal FEA)
  • SolidWorks for the manufacturable geometry
  • Bambu X1C printing in PETG-CF

Impact

Business-level effect

  • More billable flight time per battery cycle for the survey crew
  • Lower frame mass also reduced motor current draw, extending motor and ESC life
  • Replicable workflow for the client’s next drone platform

Conclusion

Lightweighting isn’t about cutting material everywhere — it’s about identifying which members carry load and removing the rest. Topology optimization plus modal FEA is the engineering loop that gets you there honestly.

Working on a similar engineering problem?

Drone, robotic, or product frame where every gram matters? Let’s scope a topology-optimization pass before your next prototype iteration.

Tagged

  • Topology Optimization
  • Drone Frame
  • Lightweighting
  • PETG-CF
  • Modal FEA
  • DfAM

Frequently asked questions

Answers from the engagement itself.

How much mass can topology optimization realistically remove?

20–30% from a frame that started credible, more from over-engineered baselines. The hard part isn’t the algorithm — it’s translating the topology output into a manufacturable, serviceable geometry that preserves mounting points and cable routing.

Why PETG-CF instead of pure carbon-fibre layup?

Iteration speed. PETG-CF parts print overnight on a print farm; carbon-fibre layup is a weeks-per-revision proposition. For prototype iteration cycles where the geometry is still moving, PETG-CF gets you 80% of the strength at 5% of the lead time.

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