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Composite Lamina Model Design with the Use of Heuristic Optimization.

Artem Balashov1, Anna Burduk1, Jozef Husár2

  • 1Department of Laser Technologies, Automatization and Product Organization, Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland.

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Summary
This summary is machine-generated.

Heuristic optimization methods effectively solve complex engineering design problems where direct approaches fail. These methods, including gradient descent and Tabu search, yield superior aircraft composite wing designs with improved weight-to-load ratios.

Keywords:
composite materialheuristic optimizationtabu search

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Area of Science:

  • Engineering
  • Materials Science
  • Computational Mechanics

Background:

  • Engineering design often involves under- or over-defined problems where direct solutions are infeasible.
  • Problems with numerous unknown parameters or excessive requirements necessitate advanced solution methodologies.
  • Numerical and optimization techniques are crucial for identifying optimal solutions in complex design spaces.

Purpose of the Study:

  • To investigate the application of heuristic optimization methods for solving underdetermined engineering design problems.
  • To compare the efficacy of heuristic approaches against conventional direct methods in aircraft composite wing design.
  • To demonstrate the optimization of composite lamina for minimum weight under strength and buckling constraints.

Main Methods:

  • Utilized heuristic optimization techniques, specifically gradient descent and Tabu search.
  • Applied these methods to the design of a composite wing skin for an aircraft.
  • Compared heuristic solutions with those obtained through conventional direct design approaches.
  • Optimized the composite lamina based on a minimum weight objective function, subject to strength and buckling failure criteria.

Main Results:

  • Heuristic optimization methods successfully identified optimal solutions for underdetermined design tasks.
  • Composite wing structures designed using heuristic methods exhibited significantly improved weight-to-load ratios compared to direct approaches.
  • The studied heuristic approaches proved effective in navigating complex design spaces to find superior solutions.

Conclusions:

  • Heuristic optimization offers a powerful alternative for tackling complex and underdetermined engineering design challenges.
  • The application of gradient descent and Tabu search demonstrates a significant advantage over conventional methods for composite structure optimization.
  • Optimizing for minimum weight while adhering to critical failure criteria is effectively achieved through heuristic strategies, leading to enhanced structural performance.