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Qingdao, China

Li Z.,Qingdao University of Science and Technology | Liu Y.,Qingdao University of Science and Technology | Xia P.,Qingdao University of Science and Technology | Ma L.,Qingdao Mesnac Co.
Advanced Materials Research | Year: 2010

The article analyses the main factors such as the species and character of the carbon black, the conveying pressure and gas-flow rate which influence the flow character of carbon black during pneumatic conveying. And also studies the flow character of carbon black in dense phase pneumatic conveying system with experiment. It raises the view that the carbon black with narrow particle diameter distribution, especially with bigger size is favorable for saving energy and reducing fragmentation; the conveying pressure approach lowest point should be chosen during carbon black pneumatic conveying, and the quantity of elbow pipe should be used as less as possible; on condition that the conveying capacity is guaranteed, the lower air feeding volume is preferable; the higher the conveying pressure is, the lower the fragmentation of the carbon black will be. The article also supplies the reference for technology parameter choosing and carbon black conveying system design. © (2010) Trans Tech Publications.

Song T.,Beijing University of Chemical Technology | Li D.,Beijing University of Chemical Technology | Gao Y.,Qingdao Mesnac Co.
Beijing Huagong Daxue Xuebao (Ziran Kexueban)/Journal of Beijing University of Chemical Technology (Natural Science Edition) | Year: 2011

In this paper, a multi-optimization strategy is proposed based on combining the Q-learning algorithm and Pareto sorting. Multiple objective functions of the problem are described with the help of a Q-learning rewards strategy. Combined with Pareto sorting, the proposed strategy generates a non-dominated solution set close enough to a real Pareto front after limited iterations. Compared with other intelligent algorithms, it offers the advantages of a simpler structure, learning without prior knowledge, and fewer parameters. The results with test functions prove the validity of the proposed strategy. This method therefore provides an alternative means of intelligent optimization in this area.

Li Z.,Qingdao University of Science and Technology | Yang S.,Hankook Huaian Tire Co. | Xia P.,Qingdao University of Science and Technology | Li Z.,Qingdao Mesnac Co. | And 2 more authors.
Advanced Materials Research | Year: 2010

By analyzing the technology process of all steel radial truck tire building machine, the author finds that there is a big potential of improvement both in stitching effect and efficiency. A new kind of stitching and control device is designed to replace the original. The new device can realize the soft stitching of tire, which reduces redundant actions and thus optimizes the process and improves the stitching efficiency. It is found in tests that the optimized process reduces the blister defectives greatly. Both productivity and quality of tires are improved significantly. It shows a big economic benefit. © (2010) Trans Tech Publications.

Liu Y.,Zhejiang University | Liu Y.,Zhejiang University of Technology | Gao Y.,Zhejiang University | Gao Y.,Qingdao Mesnac Co. | And 3 more authors.
Industrial and Engineering Chemistry Research | Year: 2010

A simple nonlinear control strategy using sparse kernel learning (SKL) with a polynomial kernel form is presented and applied to chemical processes. The nonlinear process is first identified by SKL with a polynomial kernel, and then a predictive control performance index is formulated. This index is characterized as an even-degree polynomial function of the manipulated input and has the benefit that the input can be separated from the index because of its special structure. Consequently, the optimal manipulated input can be efficiently obtained by solving a simple root problem of an odd-degree polynomial equation. Moreover, the control parameter directly relates to its performance and can be tuned in a guided manner. All these attributes result in a practicable solution for real-time process control. The novel controller is applied to two chemical processes to evaluate its performance. The obtained results show the superiority of the proposed method compared to a well-tuned proportional-integral-derivative controller in different situations. © 2010 American Chemical Society.

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