Multi-objective optimization design of the Hinge Sleeve of Cubic based on Kriging

Area of Science:

• Mechanical Engineering
• Computational Engineering
• Materials Science

Background:

• The Hinge Sleeve of Cubic (HSC) requires optimization for improved performance and efficiency.
• Lightweight design is crucial for reducing material costs and enhancing usability in mechanical components.

Purpose of the Study:

• To achieve a multi-objective optimal design for the Hinge Sleeve of Cubic (HSC).
• To reduce the mass of the HSC while maintaining performance and meeting production requirements.

Main Methods:

• Combined Central Composite Design (CCD), Kriging modeling, and Multi-Objective Genetic Algorithm (MOGA).
• Established HSC model, selected design variables, and identified key geometric constraints.
• Utilized Kriging for response surface modeling and MOGA for optimization.

Main Results:

• Optimized HSC model achieved a 24.84% mass reduction.
• The optimization strategy proved reliable for lightweight design.
• Design cost savings and improved material utilization were realized.

Conclusions:

• The integrated optimization approach is effective for designing mechanical components like the HSC.
• Significant lightweighting of the HSC was achieved without compromising production standards.
• The study demonstrates a viable method for cost-effective and material-efficient component design.