Intelligent sensor for coal powder rate injection in a slag cleaning furnace |
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| Affiliation: | 1. Chemical Engineering Department, Santa María University, Valparaíso, Chile;2. Engineering Department, Caletones Smelter, El Teniente, Codelco-Chile, Rancagua, Chile;1. Mechatronics Group, Singapore Institute of Manufacturing Technology, Singapore 638075, Singapore;2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore;3. Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Zhejiang Province 315201, China;1. College of New Energy, China University of Petroleum (East China), Qingdao 266580, PR China;2. The 711 Research Institute of CSIC, Shanghai 201108, PR China;3. College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao 266580, PR China;4. Shandong Key Laboratory of Oil & Gas Storage and Transport Safety, Qingdao 266580, PR China;5. Qingdao Engineering Research Center of Efficient and Clean Utilization of Fossil Energy, Qingdao 266580, PR China;1. Electronic Engineering College, Heilongjiang University, No. 74 Xuefu Road, Nangang District, 150080 Harbin, Heilongjiang, China;2. Automation College, Harbin Engineering University, No. 145 Nantong Street, Nangang District, 150001 Harbin, Heilongjiang, China |
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| Abstract: | An intelligent sensor for estimating the coal powder rate injected into a slag-cleaning furnace (SCF) was developed at Caletones Smelter, Chile. At present the estimation algorithms are only based on discharged cycle average information, leading to large prediction errors. In this paper an improved estimation of the current coal rate is presented, based on the instant tank weights, the tank pressure and the position of the control valves, among other variables. Better control of coal addition into the batch process increases copper recovery from slags and reduces the particulate material pollution. An hybrid expert and fuzzy supervisory control is proposed. |
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