Abstract
Air cushion furnace is indispensable equipment for the production of high quality strip, and it is significant to national economy. The flotation height is a key factor to the quality and efficiency of the product. However, the current prediction models can merely predict the flotation height of strip in air cushion furnace at single working state. The precision of prediction model is inaccurate at the circumstance of low flotation height. To solve the above problem, firstly, this paper proposes a framework which can predict the flotation height of strip under both stable and vibration states. The framework is composed of the hard division model and prediction model. Secondly, a hard division method is proposed based on clustering which combines stacked denoising autoencoder and floating process knowledge. Thirdly, a parallel hybrid flotation height prediction model is proposed, which can provide desirable prediction results at the circumstance of low flotation height. Finally, the LSSVR model is used to predict the maximum and minimum flotation height of strip at vibration state. The experimental results show that the framework can accurately divide the stable and vibration states of the strip and can accurately predict the flotation height of the strip under the stable and vibration states. The research contents of this paper lay an important theoretical foundation for the precise process control in air cushion furnace.
Highlights
In view of the high surface quality requirements of the high quality strip product, air cushion furnace is indispensable equipment for heat treatment in the production process of the high quality strip product [1, 2]
Description of Test Device. e proposed frame is verified on the air flotation experimental platform developed by us. e schematic diagram and equipment figure of the air cushion furnace experimental platform are shown in Figures 8 and 9, respectively [1]: e air flotation experimental platform includes furnace body, upper and lower fans, upper and lower air containers, upper and lower air boxes, upper and lower slot nozzles, airseal devices, etc. e type of inverter in experimental platform is Siemens mechanism model (MM) 440. e specification of the experimental platform is 3 m × 3 m × 2.2 m. e product type of laser range finder is LOD2-250W150 whose measurement accuracy and frequency are 75 μm and 1.33 kHz, respectively
In the actual industrial process, laser range finder does not exist in the air cushion furnace. is experiment used strip with width of 300 mm. e strip thickness ranges from 0.4 mm to 2 mm. e same independent experiment was repeated four times under identical condition, and the average of the experimental results is used as the final result. e hard division method proposed in this paper is used to divide the dataset in the floating process into stable state dataset and vibration state dataset
Summary
In view of the high surface quality requirements of the high quality strip product, air cushion furnace is indispensable equipment for heat treatment in the production process of the high quality strip product [1, 2]. Flotation height of the strip in the air cushion furnace is a key factor to the surface quality of the strip. It should be emphasized that the flotation height expresses the floating height of the strip in this paper. E meaning of flotation height in this paper is different to flotation height in mineral processing [5, 6]. When the flotation height of the strip is too high or too low, the strip will contact with equipment and further be scratched. The flotation height of the strip greatly affects the heating rate and cooling rate. The related research of flotation height is significant [7]
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