Archive
Special Issues
Optimal Thickness Design of Thermal Protective Clothing
Science Discovery
Volume 7, Issue 3, June 2019, Pages: 152-160
Received: Apr. 8, 2019; Published: Jun. 15, 2019
Authors
Zhuojun Yao, Department of Economics & Management, Rongcheng College of Harbin University of Science and Technology, Weihai, China
Yuefeng Li, Department of Mechanical Engineering, Rongcheng College of Harbin University of Science and Technology, Weihai, China
Zhihong Liu, Department of Software Engineering, Rongcheng College of Harbin University of Science and Technology, Weihai, China
Article Tools
Abstract
Under the premise of ensuring the protective effect, it is of great significance to design the optimal protective suit. In this paper, under the premise of analyzing the basic temperature distribution, the optimal thickness of the protective clothing is optimized. First, a temperature distribution model based on the heat transfer equation. The partial differential equations of temperature, time and spatial position are written for fabric layers I, II, III and air layer IV respectively. The initial and boundary conditions are given according to the measured external temperature and thermodynamic laws of skin. The finite difference method is used to numerically solve the partial differential equations to obtain the temperature distribution at different time and space. It was found that the human skin temperature increased with time and reached a steady state at time t=1645s. Then the optimal thickness is solved. Under the condition of meeting the basic safety requirements, the constraint optimization model with the optimal II layer thickness (ie the thinnest and the lowest cost) as the objective function is established. Then use the particle swarm optimization algorithm based on dynamic target method to solve. The optimum layer thickness was found to be 6.2 mm. Finally, the model was tested. Using the finite element heat transfer analysis of ANSYS workbanch to simulate the temperature distribution in the actual material, the similarity is high, which proves that the temperature distribution model is more accurate. This model can be extended to other heat transfer related clothing and container optimal thickness design.
Keywords
Thermal Protective Clothing, Heat Transfer Model, Finite Difference Method, Particle Swarm Optimization, ANSYS Finite Element Analysis