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Optimization of spring parameters by using the Bees algorithm for the foldable wing mechanism.

Murat Sahin1, Zafer Kulunk2

  • 1Control Systems Department, Roketsan Inc., 06780, Elmadag, Ankara, Turkey. msahin@roketsan.com.tr.

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|December 19, 2022
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Summary

Optimized missile foldable wing springs using the Bees Algorithm (BA) for faster deployment. The new design achieved wing opening in 90 ms, significantly exceeding project goals.

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Area of Science:

  • Mechanical Engineering
  • Aerospace Engineering
  • Optimization Techniques

Background:

  • Missile foldable wing mechanisms require rapid deployment after launch.
  • Spring design is critical for achieving the necessary opening speed and reliability.
  • Existing design methods may not fully optimize spring performance for time-critical applications.

Purpose of the Study:

  • To optimize the design of torsion and compression springs for a missile's foldable wing mechanism.
  • To maximize stored spring energy for minimum wing opening time.
  • To determine optimal spring design variables considering geometrical and safety constraints.

Main Methods:

  • Formulated spring design as an optimization problem, defining stored energy as the objective function.
  • Identified wire diameter, coiling diameter, coiling number, and deflection as optimization variables.
  • Employed the Bees Algorithm (BA) to solve the optimization problem and design the springs, comparing results with Design of Experiments (DOE).

Main Results:

  • The Bees Algorithm (BA) yielded superior spring energy values compared to previous Design of Experiment (DOE) studies.
  • Simulations using ADAMS and subsequent experimental tests confirmed the optimized design's effectiveness.
  • The foldable wing mechanism achieved an opening time of approximately 90 ms, well below the 200 ms target.

Conclusions:

  • The Bees Algorithm (BA) provides an effective method for optimizing foldable wing spring design in missiles.
  • The optimized spring design significantly reduces wing opening time, enhancing missile performance.
  • Experimental validation confirmed the accuracy of the simulation and the effectiveness of the optimized design, with minimal discrepancy between analysis and real-world results.