Restoration of the cooling conditions in a three-dimensional continuous casting process using artificial intelligence algorithms

Hetmaniok, Edyta�; Słota, Damian; Zielonka, Adam�

doi:10.1016/j.apm.2015.03.056

Cited by 18 publications

(9 citation statements)

References 34 publications

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“…In the heuristic strategy of the ant colony algorithm, Chen Y et al proposed a density-based heuristic assessment strategy [4]. Hetmaniok E et al proposed an evaluation strategy based on an ant-selected assessment strategy, which is more effective [5]. Jidong et al proposed a simple and effective heuristic function that can partially solve the algorithm premature maturity problem caused by the heuristic function [6].…”

Section: Introductionmentioning

confidence: 99%

Application of artificial intelligence algorithm in mathematical modelling and solving

Yao

2021

Applied Mathematics and Nonlinear Sciences

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To help people solve unsolved problems in everyday life and solve the complexity of life, this paper proposes an artificial intelligence algorithm and establishes a mathematical model for simulation experiments. The results show that the artificial intelligence algorithm can search the optimal solution in a short time, with a success rate of 95.87%. Under the same conditions, relative to other algorithms, it can not only improve the success rate of the optimal solution, but also the search solution has very significant advantages.

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Section: Introductionmentioning

confidence: 99%

Application of artificial intelligence algorithm in mathematical modelling and solving

Yao

2021

Applied Mathematics and Nonlinear Sciences

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“…Vasko et al [24] also investigated the inverse solidification problems of pure metals (e.g., Hetmaniok et al [25]) and of alloys (e.g., Hetmaniok [26]), as well as of continuous casting (e.g., Slota [17] and Hetmaniok et al [27]) and in order to improve the procedure of the solution and speed up the process of calculations they used optimization algorithms used in artificial intelligence. In the current paper, these modern algorithms are applied for solving the inverse problem of continuous casting of the steel ingot.…”

Section: Introductionmentioning

confidence: 99%

Application of the Swarm Intelligence Algorithm for Reconstructing the Cooling Conditions of Steel Ingot Continuous Casting

2020

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This paper presents a proposal to apply one of the swarm intelligence algorithms, the artificial bee colony (ABC) algorithm, to solve the inverse problem of steel ingot continuous casting. The discussed task consists of retrieving the cooling conditions of the process on the basis of temperature measurements and by taking into account the macrosegregation phenomenon. The examined process was modeled by using the mathematical model of solidification within the temperature interval. The solution method was based on the implicit scheme of the finite difference method supplemented by the procedure of correcting the field of temperature in the vicinity of liquidus and solidus curves, which was then used for solving the appropriate direct problem. The computational example, illustrating the stability and accuracy of the proposed method, is also presented in the paper.

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“…AK Nallathambi and E Specht 13 and PL Woodfield et al 14 used the two-dimensional finite element model for the numerical analysis. E Hetmaniok et al 15,16 introduced the ant colony optimization algorithm and the clonal selection algorithm to the inverse heat transfer algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…E Hetmaniok et al 15,16 introduced the ant colony optimization algorithm and the clonal selection algorithm to the inverse heat transfer algorithm.…”

Section: Introductionmentioning

confidence: 99%

Inverse solution to heat transfer coefficient during heat assembly of aluminum alloy drill pipes

Sun

Лиу

Ding

et al. 2017

Advances in Mechanical Engineering

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With the rapid development of oil and gas industry, as well as geological exploration industry, the requirements on properties of aluminum alloy drill pipes are increasing. During heat assembly of aluminum alloy drill pipes, the cooling process inside the pipes has a direct impact on the connection performance of pipes. Thus, study of the convective heat transfer coefficient between the cooling water and the internal wall of aluminum alloy pipes is important. Conventional algorithms cannot easily solve the problem of determining the heat transfer coefficient at the complex structure of aluminum alloy drill pipes. Therefore, this article conducts a heat assembly experiment between aluminum alloy drill pipes and steel joints to obtain adequate, accurate temperature data. Based on these experimental data and an inverse heat conduction model, the heat transfer coefficients during the heat assembly process are determined by a finite element program and the differential evolution algorithm. The correlation curve between the cooling water flowrate and the convective heat transfer coefficient obtained in this article is important in the accurate prediction of heat transfer capacity and temperature field distribution during heat assembly at different cooling water flowrates. The analysis results show that the heat transfer coefficients are nonlinear functions of cooling water flowrates. The temperature is highest at location A 1 and gradually declines backward along the axis of the drill pipe. The heat transfer coefficient gradually declines backward along the axis of the drill pipe. The increasing flowrate of cooling water will cause the convective heat transfer coefficient along the axis of the drill pipe to escalate irregularly.

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Restoration of the cooling conditions in a three-dimensional continuous casting process using artificial intelligence algorithms

Cited by 18 publications

References 34 publications

Application of artificial intelligence algorithm in mathematical modelling and solving

Application of artificial intelligence algorithm in mathematical modelling and solving

Application of the Swarm Intelligence Algorithm for Reconstructing the Cooling Conditions of Steel Ingot Continuous Casting

Inverse solution to heat transfer coefficient during heat assembly of aluminum alloy drill pipes

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