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Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.

Ying Sun^1,2,3, Peng Huang^1,2, Yongcheng Cao⁴

¹Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, China.

Frontiers in Bioengineering and Biotechnology

|July 5, 2022

Summary

This summary is machine-generated.

This study optimized ladle refractory lining using a genetic algorithm. Optimized linings improve thermal insulation and reduce mass, enhancing ladle service life.

Keywords:

genetic algorithm ladle refractory lining multi-objective optimization service life thermal insulation performance

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Area of Science:

Materials Science
Mechanical Engineering
Computational Science

Background:

Ladle refractory lining is crucial for high-temperature industrial processes.
Optimizing lining structure balances thermal insulation, mechanical integrity, and mass.
Genetic algorithms offer a robust approach for complex multi-objective optimization problems.

Purpose of the Study:

To develop and apply a genetic algorithm-based method for optimizing ladle refractory lining structure.
To establish a parametric finite element model for analyzing ladle lining performance.
To identify optimal structural parameters for improved thermal insulation, reduced stress, and lower mass.

Main Methods:

Parametric finite element modeling using ANSYS Workbench.
Development of a multi-objective mathematical optimization model.
Application of genetic algorithm to simulate natural evolution and selection for optimal design.

Main Results:

Optimized lining parameters: 8.02 mm insulation, 76.20 mm permanent layer, 148.61 mm working layer.
Reduced maximum equivalent force, maximum ladle shell temperature, and total ladle mass.
Significant improvements in thermal insulation performance and lightweighting.

Conclusions:

The genetic algorithm effectively optimizes ladle refractory lining structure.
Optimized designs enhance thermal insulation and reduce ladle mass, leading to improved service life.
This approach is vital for enhancing the performance and longevity of industrial ladles.