Under high temperature condition, determination of phase transition temperature and combination of PCM layer with the other layers affect the thermal buffering properties of the protective clothing. In this paper, Body-clothing-environment temperature gradient was analyzed. Related data was obtained from the dressing experiments. After that, phase transition temperature range of the protective clothing was determined. Temperature and humidity of human skin and microclimate were tested respectively with different positions of PCM layer. Finally, the optimization layer configuration was suggested.
Impulse-cyclone drying (ICD) is a new type of pretreatment method to remove the excess moisture of wood fibers (WFs) with high speed and low energy consumption. However, the process parameters are often determined by the experience of the process operators, thus the quality of WF drying lacks an objective basis and cannot be ensured. To address this issue, this study adopted the long short-term memory (LSTM) neural network, backpropagation neural network, and Central-Composite response surface method to establish a moisture content (MC) prediction model and a process parameter optimization model based on single-factor experiments. The initial MC, inlet air temperature, feed rate, and inlet air velocity were taken as the experimental factors, and the final MC was taken as the inspection index. The parameters of LSTM were optimized by particle swarm optimization (PSO) algorithm, and the predicted value of MC was fitted to the model. The PSO-optimized LSTM had higher prediction accuracy than did the typical prediction models. The optimal process for the targeted MC, which was obtained by PSO, was featured with an initial MC of 10.3%, inlet air temperature of 242°C, feed rate of 90 kg/h, and inlet air velocity of 8 m/s. PSO-LSTM could be a new approach for predicting the MC of WFs, which, in turn, could provide a theoretical basis for the application of ICD technology in the biomass composite industry.
In low temperature environment, the lack of a proper thermal protection can cause human body frostbite, or even cause death. In this paper, the computational method of theoretical relationship between the phase change materials content in protective clothing, protective time and the working environment temperature was proposed when took into account the comfort requirement of human bodies, clothing thermal properties and heat loss through clothing system. This theoretical model could be used to predict the relationship between the protective material content and the protection time of phase change protective clothing. Experimental results show good accordance with the theoretical prediction.
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