A Novel Heat-Proof Clothing Design Algorithm Based on Heat Conduction Theory

Shen, Yuan; Wang, Yunxiao; Wang, Fangxin; Xu, He; Li, Peng

doi:10.1007/978-981-15-2810-1_26

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…Limei Qi et al calculated the temperature distribution of three layers of the fabric material based on the law of energy conservation, established a four-parameter exponential model of the skin layer, and cross-validated it [ 8 ]. Yuan et al established the partial differential equations in terms of material temperature, thickness, and working time by an iterative network-based algorithm in the Fourier theory, used finite explicit difference to solve the optimal thickness and time parameters, and considered physical factors such as heat conduction, heat radiation, and heat convection, and the experimental results proved to be more reasonable [ 9 ]. Zou et al proposed an optimization algorithm based on the control variable method and the dichotomous method to obtain the optimal solution for the double-layer thickness of high-temperature protective clothing [ 10 ]; Wang et al proposed the LMNNS method combining back propagation neural network (LMNN) and simulated annealing algorithm (SA) for designing the thickness of each layer of the thermal protective layer [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Study on Heat Transfer Characteristics and Intelligent Optimization of Protective Clothing Materials in front of the Blast Furnace

Duan

et al. 2022

Computational Intelligence and Neuroscience

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Special protective clothing should have a certain thermal insulation and protective effect in the production in front of the blast furnace. In order to study the design of special protective clothing for blast furnace foreman, its temperature distribution and internal thickness structure are deeply analyzed. First, based on the existing experimental data, combined with heat transfer and the Fourier law theory, a one-dimensional unsteady heat conduction equation is established. Using the explicit finite difference solution algorithm, the distribution law of the temperature of each fabric layer with time is obtained and the error analysis is performed. The error result is 0.42877%, which shows that the numerical solution is stable and convergent. Then, through the intelligent optimization model of a simulated annealing ant colony (SA-ACO), compared with the single ant colony algorithm (ACO) and a simulated annealing algorithm (SA), it avoids falling into the local optimal solution, reversely solves the optimal thickness of two layers of protective clothing in front of the blast furnace, improves the convergence speed of optimization, and verifies the reliability of the model with a sensitivity test. Finally, this paper actually solves the problem of the protective clothing design and mathematical intelligent model in front of the blast furnace and combines it with numerical simulation software to realize the numerical simulation of temperature distribution and thickness optimization of special protective clothing in front of the blast furnace, so as to provide theoretical guidance for enterprise blast furnace production and development of special protective clothing.

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Section: Introductionmentioning

confidence: 99%