Influence of Working Lining Parameters on Stress Field of Ladle Composite Construction Body

Li, Gong Fa; Xu, Si Qiang; Jiang, Guo Zhang; Wu, Ze Hao; Kong, Jian Yi; Xie, Li

doi:10.4028/www.scientific.net/amm.121-126.800

Cited by 6 publications

(6 citation statements)

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“…The simulation test of the numerical example verifies the effectiveness of the method ( Liao and Li, 2020 ; Liu and jiang, 2021 ; Najm and EL-Hassan, 2021 ). In view of the fact that the Pareto optimal solution obtained by multi-objective genetic algorithm in solving some complex high-dimensional multi-objective optimization problems is easily affected by the disturbance of design parameters ( Yu and Li, 2020 ; Yang and Jiang, 2021 ; Yun and sun, 2022 ), the concept of robustness and the proposal of an improved robust multi-objective optimization method are used by some scholars proposed ( Li and Kong, 2012 ; Li and Liu, 2015a ; Jiang et al, 2019c ). On the basis of the classical fitness function expectation and variance, the expectation and variance are effectively combined, and the particle swarm algorithm is integrated at the same time ( Yu and Li, 2019 ; Sun and xu, 2020d ).…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

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

Sun

Huang

Cao³

et al. 2022

Front. Bioeng. Biotechnol.

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Genetic algorithm is widely used in multi-objective mechanical structure optimization. In this paper, a genetic algorithm-based optimization method for ladle refractory lining structure is proposed. First, the parametric finite element model of the new ladle refractory lining is established by using ANSYS Workbench software. The refractory lining is mainly composed of insulating layer, permanent layer and working layer. Secondly, a mathematical model for multi-objective optimization is established to reveal the functional relationship between the maximum equivalent force on the ladle lining, the maximum temperature on the ladle shell, the total mass of the ladle and the structural parameters of the ladle refractory lining. Genetic algorithm translates the optimization process of ladle refractory lining into natural evolution and selection. The optimization results show that, compared with the unoptimized ladle refractory lining structure (insulation layer thickness of 0 mm, permanent layer thickness of 81 mm, and working layer thickness of 152 mm), the refractory lining with insulation layer thickness of 8.02 mm, permanent layer thickness of 76.20 mm, and working layer thickness of 148.61 mm has the best thermal insulation performance and longer service life within the variation of ladle refractory lining structure parameters. Finally, the results of the optimization are verified and analyzed in this paper. The study found that by optimizing the design of the ladle refractory lining, the maximum equivalent force on the ladle lining, the maximum temperature on the ladle shell and the ladle mass were reduced. The thermal insulation performance and the lightweight performance of the ladle are improved, which is very important for improving the service life of the ladle.

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Section: Related Workmentioning

confidence: 99%

“…The composition of the ladle lining structure is shown in Figure 1 ( Li and kong, 2012 ). The main function of the upper part of the shotcrete is to strengthen the ladle and play a supporting role.…”

Section: Finite Element Analysis Of Steel Ladlementioning

confidence: 99%

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

Sun

Huang

Cao³

et al. 2022

Front. Bioeng. Biotechnol.

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“…Authors in the study [22] present a laser meter and thermography at the steel ladle as assession methods implemented at the Nippon Steel Corporation. In paper [23], the model of steel ladles based on the thermal expansion coefficient and lining thickness was proposed and studied.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As it was analyzed previously, there are many models, methods, and ladle monitoring systems [12,14,15,[20][21][22][23][24] that automatically diagnose the technical state of critical production facilities, such as torpedo ladle cars. However, the existing models, methods, and systems do not allow the monitoring of the torpedo ladle cars without taking them out of service and do not have the possibility for preventive diagnostics.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Artificial Intelligence Technologies for Diagnostics of Production Structures

Chernyi

Emelianov

Zinchenko³

et al. 2022

JMSE

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The paper presents that during the operation of torpedo ladle cars in metallurgical production, problems periodically arise with ensuring the safety of their use. The authors have highlighted the relevance and necessity of the solution to the problem of diagnosing the lining state of ladle cars to ensure their safe functioning. To solve the problem of diagnosing the lining state of ladle cars for the maritime industry, an algorithm for detecting burnout zones of a lining based on a neural network has been developed. The authors propose and describe a distributed multi-agent information control system for the operation of torpedo ladle cars. The results for detecting burnout zones of a lining by the standard system and newly developed system are presented. To automate assessing the lining state of the ladle car and support in making decisions regarding operation mode of the ladle cars, the software has been developed.

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“…2 Two-dimensional finite element model of the ladle was established, and then the influence of thermal conductivity, thermal expansion coefficient, elasticity coefficient, and thickness of work lining on ladle stress field was discussed. 3 Expansion joint finite element model of ladle bottom lining was built, and the contact stress of expansion joint in every layer was studied. The results show that setting 2 mm expansion seam can reduce the contact stress which takes up 1/6 to 1/5 of lining resistance pressure intensity.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of temperature field and thermal stress field in the new type of ladle with the nanometer adiabatic material

Liu

Jiang

et al. 2015

Advances in Mechanical Engineering

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With the development of metallurgical industry and the improvement of continuous casting technology, the processing properties of casting technology equipment are being paid more attention. Ladle is one of the most representatives of the furnace equipment; higher requirements of ladle are put forward in response to the call for national energy-saving and emission reduction. According to the requirements of actual operator and working condition, a lining structure of a new type of ladle with nanometer adiabatic material is put forward. Based on heat transfer theory and finite element technology, the threedimensional finite element model of a new type of ladle is established. Temperature field and stress field of the new type of ladle with the nanometer adiabatic material in lining structure after baking are analyzed. The results indicate that the distributions of temperature and thermal stress level of working layer, permanent layer, and nanometer heat insulating layer are similar, and they are in the permissible stress and temperature range of each material for the new type of ladle. Especially heat preservation effect of nanometer adiabatic material is excellent. Furthermore, the maximum temperature of shell for the new type of ladle drops to 114°C than the traditional ladle, and the maximum stress of shell for the new type of ladle is lower than the traditional ladle, that is, 114 MPa. It can provide reliable theory for energy-saving and emission reduction of metallurgy industry, which also points out the right direction for the future development of the iron and steel industry.

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Influence of Working Lining Parameters on Stress Field of Ladle Composite Construction Body

Cited by 6 publications

References 0 publications

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

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

Application of Artificial Intelligence Technologies for Diagnostics of Production Structures

Numerical simulation of temperature field and thermal stress field in the new type of ladle with the nanometer adiabatic material

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