Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/10342
Title: APPLICATION OF ARTIFICIAL NEURAL NETWORK IN PAPER INDUSTRY
Authors: Kumar, Rajesh
Keywords: PAPER TECHNOLOGY
ARTIFICIAL INTELLIGENCE
NEURAL NETWORK
PAPER INDUSTRY
Issue Date: 2008
Abstract: The thesis starts with introducing the operations and processes of a paper industry. From instrumentation view point these may be termed as subsystems like raw material preparation, pulping, washing of brown stock, bleaching, stock preparation, approach flow system, wet end operation, drying, calendaring and chemical recovery operation. Surface sizing, filling and coating are rather additional operations. The status of Indian ° paper mill, artificial intelligence and artificial neural network (ANN) control methodologies have been described in first chapter. A review of the literature has been presented in the second chapter for neural network and classical control applications to paper mill in particular. The chapter three deals with a comprehensive discussion on paper manufacture, operational parameters and control practice in a typical Indian paper industry. The next. three chapters discuss and analyze the results of various models of process control parameters of the wet end approach flow system including head box of paper machine control. The last chapter deals with the conclusion and recommendations on the work carried out in this present investigation. Chapter-1 introduces status of Indian paper mill and artificial neural network designing parameters. The present investigation has been planned to study the various aspects required for designing control systems using artificial neural network for wet end paper machine parameters, headbox in particular with the distinct objectives......
URI: http://hdl.handle.net/123456789/10342
Other Identifiers: Ph.D
Appears in Collections:DOCTORAL THESES ( Paper Tech)

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