Combined Fuzzy and Genetic Algorithm for the Optimisation of Hybrid Composite-Polymer Joints Obtained by Two-Step...

Area of Science:

• Materials Science
• Mechanical Engineering
• Computational Intelligence

Background:

• Laser joining is a key technique for fabricating hybrid composite-polymer structures.
• Optimizing laser parameters is crucial for maximizing joint strength and minimizing uncertainty.
• Carbon fibre-reinforced polymer (CFRP) and polycarbonate (PC) are advanced materials requiring precise joining methods.

Purpose of the Study:

• To model and optimize the shear strength of hybrid composite-polymer joints created via a two-step laser joining process.
• To investigate the influence of laser surface treatment and process parameters on joint performance.
• To develop an uncertain model using fuzzy logic and genetic algorithms for optimal parameter selection.

Main Methods:

• A two-step laser joining process involving surface cleaning of CFRP with a nanosecond laser and direct joining with a diode laser.
• Design of Experiments (DOE) methodology to systematically vary laser power and energy.
• Analysis of Variance (ANOVA) to determine the statistical significance of process parameters.
• Integration of fuzzy logic and genetic algorithms to create an uncertain model for optimization.

Main Results:

• Both laser surface treatment and process parameters significantly influence the shear strength and performance of the hybrid joints.
• The developed uncertain model successfully identified optimal process parameters for maximum joint strength and minimal uncertainty.
• The study demonstrated the effectiveness of combining computational intelligence techniques for optimizing complex joining processes.

Conclusions:

• The hybrid approach of laser joining, surface treatment, and computational optimization offers a robust method for fabricating high-performance composite-polymer joints.
• Fuzzy logic and genetic algorithms provide valuable insights into process variability and enable precise control over joint quality.
• This research contributes to advancing the manufacturing of lightweight hybrid structures for demanding applications.