基于改进傅里叶变换对热防服的优化设计
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摘要
针对高温热防护服,以傅里叶律公式为基础进行变换,以假人皮肤外侧温度数据为基础构造BP神经网络模型,同时构造具有第三类边界的一维热传导模型和非线性规划模型,并利用遗传算法和模拟退火算法进行求解。综合运用EXCEL、MATLAB等软件,对热防服中的温度分布进行描述和假人皮肤外侧温度进行预测,并解决热防服设计中的最优厚度问题。
A BP neural network model was constructed based on the temperature data of human skin. A one-dimensional heat conduction model and nonlinear programming model with the third boundary were constructed, and solved by genetic algorithm and simulated annealing algorithm. Using EXCEL, MATLAB and other software, the temperature distribution in thermal protective clothing is described and the external temperature of the dummy skin is predicted, and the optimal thickness in thermal protective clothing design is solved.
A BP neural network model was constructed based on the temperature data of human skin. A one-dimensional heat conduction model and nonlinear programming model with the third boundary were constructed, and solved by genetic algorithm and simulated annealing algorithm. Using EXCEL, MATLAB and other software, the temperature distribution in thermal protective clothing is described and the external temperature of the dummy skin is predicted, and the optimal thickness in thermal protective clothing design is solved.
引文
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[2]朱方龙.服装的热防护功能[M].北京:中国纺织出版社,2015
[3]William E.Mell,J.Randall Lawson.A Heat Transfer Model for Firefighters'Protective Clothing[J].Fire Technology,2000,36(01):45-49
[4]Ahmed Elgafy,Sarthak Mishra.A heat transfer model for incorporating carbon foam fabrics in firefighter’s garment[J].Heat and Mass Transfer,2014,50(04):12-17
[5]罗宏.用傅里叶律分析无限大平行平板中的准稳态[J].物理实验,2014,34(08):31-33
[6]赵伟涛,吴九汇.球体表面受任意周期热扰动时非傅里叶导热的求解与分析[J].西安交通大学学报,2014,48(01):13-18
[7]李金娥.非傅里叶热传导方程及热应力的数值解[D].哈尔滨:哈尔滨工业大学,2010
[8]张月蕾,丁晓云,朱磊.基于聚集经济对雄安新区城市规模的计量分析[J].齐齐哈尔大学学报:自然科学版2018,34(04):82-87
[9]郑旭浩.遗传算法原理在机械工程中的应用[J].中国高新技术企业,2014(34):62-63
[10]申才.并行遗传算法在热传导反问题中的应用[D].武汉:武汉理工大学,2005
[11]王丽影.一维双参数非经典热传导及热应力和热断裂[D].哈尔滨:哈尔滨工业大学,2015
[12]毛俊雯.一维系统中的热传导模型及相关动力学性质研究[D].杭州:浙江大学,2006
[13]孙志忠.偏微分方程数值解法[M].2版.北京:科学出版社,2012
[14]潘斌.热防护服装热传递数学建模及参数决反问题[D].杭州:浙江理工大学,2017
[15]张忠兴,李利祥,冯晨鹏,等.基于模拟退火算法下的水动力模型参数优化研究[J].低碳世界,2018(09):63-64