Application of non-dominated sorting genetic algorithm (NSGA-III) and radial basis function (RBF) interpolation for...

Area of Science:

• Advanced manufacturing processes for wearable technology.
• Materials science and engineering for smart devices.
• Human-computer interaction and augmented reality.

Background:

• Smart contact lenses (SCL) represent a significant advancement in wearable technology and human-computer interaction.
• Realizing the potential of SCL requires sophisticated manufacturing techniques beyond advanced electronics.
• In-mold electronic decoration (IME) technology offers a promising solution for SCL production.

Purpose of the Study:

• To investigate the manufacturing process of SCL using IME technology.
• To optimize key injection parameters including melt temperature, holding pressure, and holding time.
• To enhance the performance, biocompatibility, transparency, stability, and comfort of SCL.

Main Methods:

• Detailed description of SCL background and technical requirements.
• Discussion on the role and application of IME technology in SCL manufacturing.
• Systematic analysis of melt temperature, holding pressure, and holding time effects on SCL.
• Multi-objective optimization of melt temperature and holding pressure using NSGA-III algorithm.
• Application of radial basis function interpolation for refined optimization.

Main Results:

• Optimization of melt temperature and holding pressure significantly improved SCL characteristics.
• Achieved a 95.60% optimization rate for nodal displacement.
• Achieved a 93.47% optimization rate for residual stress.
• Enhanced transparency, stability, and comfort of SCL.

Conclusions:

• IME technology is crucial for advanced SCL manufacturing.
• Optimized injection parameters through multi-objective optimization lead to superior SCL.
• The developed process significantly improves SCL nodal displacement and residual stress, paving the way for practical applications.