Protective Clothing Based on High-temperature Thermal Radiation
International Journal of Industrial and Manufacturing Systems Engineering
Volume 4, Issue 3, May 2019, Pages: 24-30
Received: Oct. 1, 2019; Accepted: Oct. 15, 2019; Published: Oct. 25, 2019
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Lu Junning, College of Chemical Engineering and Pharmacy, Henan University of Science and Technology, Luoyang, China
Mengjiang Wu, College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, China
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Due to the needs of today's society, there must be a particular group of people working in a high-temperature thermal radiation environment. High-temperature environments can quickly cause significant harm to the human body, while thermal protective clothing can effectively reduce the harm to the human body caused by high temperatures. We can solve this problem by building a model. Set up a multi-layer protective clothing for heat conduction formula under the temperature variation of heat conduction model of the MATLAB to map the temperature with time, 3 d surface figure, the variation of the temperature distribution can lead the Excel data tables, and processing the data in the table data, using MATLAB software to curve fitting, the fitting curve of time and skin temperature. At the same time, on the optimal thickness of protective clothing, can be based on the initial conditions and boundary conditions, construct the objective function, and use the improved particle swarm algorithm for solving, specific calculation will difference algorithm as local search of particle swarm optimization algorithm, the particle swarm algorithm with differential evolution algorithm is the local optimization solution as the initial population of generation of differential evolution operations, thickness of solving it is concluded that the optimal approximate solution, and it is concluded that the optimal thickness. The convection and radiation heat transfer coefficients, convection and radiation heat transfer, and skin temperature were calculated. Then, by using the extensibility of CFD simulation and the flexibility of environmental temperature setting, the human thermal radiation stress response model was embedded into the CFD simulation, to predict the real-time changes of human core temperature in a high-temperature thermal radiation environment. Combined with the core temperature threshold and exposure time, people's rescue operation time under different thermal radiation environment conditions can be reasonably scheduled and arranged to reduce the level of thermal stress, improve rescue efficiency and guarantee people's life safety. Finally, the thermal protection clothing is studied to determine the temperature distribution of each layer of thermal protective clothing. It provides a theoretical reference for the functional design of thermal protective clothing.
Finite Difference, Particle Swarm Optimization, Optimal Numerical Solution, Thermal Radiation
To cite this article
Lu Junning, Mengjiang Wu, Protective Clothing Based on High-temperature Thermal Radiation, International Journal of Industrial and Manufacturing Systems Engineering. Vol. 4, No. 3, 2019, pp. 24-30. doi: 10.11648/j.ijimse.20190403.11
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Torvi Heat transfer in thin fibrous materials under high heat flux conditions [D]. Edmonton: University of A lberta, 1997: 1-134.
Pan bin. Mathematical construction of heat transfer and inverse problem of parameter determination for thermal protective clothing [D]. Zhejiang university of science and technology, 2007. (in Chinese).
Fang-long zhu. Thermal protection function of clothing, Beijing: China miscellaneous weaving press, 2005.10. (in Chinese).
Gibson P W. Multiphase heat and mass transfer through hygroscopic porous media with applications to clothing materials [J]. Fiber, 1996, 53 (5); 183-194.
ASTM D 4108-87. Standard test method for thermal proformance of materials and clothing by open-flame method [S]. American Society for Testing M aterials, West Conshohocken, PA, 1987.
M. Young, The Technical Writer's Handbook. Mill Valley, CA: University Science, 198.
Saweyn C M J. Torvi D A. Improving beat transfer models of air gaps in bench top tests of thermal protective fabrics [J]. Textile Research Journal, 2009, 79 (79): 632-644.
Mell W E, L awson J R. A Heat transfer model for firefighters’ protective clothing [J]. Fire Technology, 2000, 36 (1): 39-68.
Ahmed Ghazy. Bergstrom D. Numerical simulation of heat transfer in firefighters’ protective clothing with multiple air gaps during flash fire exposure [J]. Numerical Heat Transfer, 2012, 61 (8): 569-593.
Du N, Fan J, Wu H, et al. Optimal porosity distribution of fibrous insulation [J]. International Journal of Heat and Mass Transfer, 2009, 52 (19-20): 4350-4357.
Xu D. Inverse problems of textile materilal design on clothing, heat-moisturecomfort [J]. Applicable Analyais, 2014, 93 (11): 2426-2439.
Zhang wen sheng, finite difference method of partial differential equation based on scientific calculation. Higher education press, 2006 (in Chinese).
Pan feng, particle swarm optimization algorithm and multi-objective optimization, 2013 (in Chinese).
Zhang wei yuan. Clothing comfort and function. Beijing: China textile press, 2011 (in Chinese).
Wang zhao jun, hou Juan, kang cheng zu, ning haoran. Experimental study on human thermal response in asymmetric radiant heat environment. Hvac, 2015, (6): 59-63.
Qiu man, wu jian-min, chang shao-yong, song DE. Study on the regulation mechanism of human sweating in different activity intensity under different ambient temperature. Chinese journal of applied physiology, 2005, 21 (1): 90-94.
Stapleton J M, Wright H E, Hardcastle S G, et al. Body heat storage during intermittent work in hot-dry and warm-wet environments. Applied Physiology Nutrition and Metabolism, 2012, 37 (5): 840-849.
Z. Zhao, J. Wang and Y. Liu, "User Electricity Behavior Analysis Based on K-Means Plus Clustering Algorithm," 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), Dalian, China, 2017, pp. 484-487. doi: 10.1109/ICCTEC.2017.00111.
Vesely M, Zeiler W. Personalized conditioning and its impact on thermal comfort and energyperformance - a review. Renewable and Sustainable Energy Reviews, 2014, 34 (3): 401-408.
Yu chang ming. Heat conduction and numerical analysis [M]. Tsinghua university press, 1981 (in Chinese).
Liu liying. Numerical simulation of human microclimate heat and humidity transfer and establishment of human thermal comfort sensation model [D]. Dong hua university, 2002.
Zhang Yanjun, Yang Xiaodong, Liu Yi, Zheng Dayuan, Bi Shujun. Research on the Frame of Intelligent Inspection Platform Based on Spatio-temporal Data. Computer & Digital Engineering [J], 2019, 47 (03): 616-619+637.
Yang jie, weng wen guo. Prediction of physiological parameters based on high temperature human thermal response model. Journal of tsing hua university (natural science edition), 2014, 54 (11): 1422-1427.
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