Structural design and optimization of egg carrier for dynamic egg slit detection platforms

Area of Science:

• Agricultural Engineering
• Mechanical Engineering
• Quality Control Systems

Background:

• Egg inspection platforms require reliable carriers for stable egg positioning.
• Existing egg carriers may lack adaptability, efficiency, or cost-effectiveness.

Purpose of the Study:

• To design and optimize an improved egg carrier for egg slit inspection operations.
• To enhance adaptability, adjustability, and operational efficiency while reducing costs.

Main Methods:

• Analysis of egg carrier functions using TRIZ theory.
• Structural design and simulation (SolidWorks, Ansys Workbench) including finite element and fatigue analysis.
• Development of a carrying motion mathematical model and optimization using a genetic algorithm (GA).

Main Results:

• The improved egg carrier demonstrates adaptability, adjustability, and low manufacturing costs.
• Simulations confirmed stable operation and provided data on deformation and fatigue.
• Genetic algorithm optimization refined structural parameters for enhanced performance.

Conclusions:

• The developed egg carrier offers a stable, efficient, and cost-effective solution for egg slit inspection.
• The integrated design, simulation, and optimization approach validates the carrier's effectiveness.
• This improved design contributes to advancements in automated egg quality control systems.