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Study On The Relative Problems Of Controlling Thickness In Gypsum Fibre Board Product Line

Posted on:2007-07-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q HeFull Text:PDF
GTID:2178360182499937Subject:Systems Engineering
Abstract/Summary:PDF Full Text Request
Gypsum fiber board (GFB) is a kind of artificial board using gypsum as main material and paper fibers as reinforcing material, it is made by adding proper water and pressure, solidifying and drying. As a kind of new building material, it has many advantages such as lightness, efficiency, fireproof, damp proof, insulate against sound and heat. It has gotten a fast development in foreign land lately. Due to the rapid development of architecture industry in our country, it will have a wide market and growing foreground.This paper makes a further study on the GFB product line in Hubei Sanhuan Wall Material Co., Ltd., which is the first line in china that imported from German. The major works in this paper include:1. The technics of GFB product line is studied, and the technics program is worked out.2. The PLC controlling system is studied and designed, the three level network structure of controlling system is established.3. The working principle of continuous pressing machine and the main factors that influenced the thickness of the board are analyzed. These factors are: the fiber-gypsum ratio, the layer height of material, the speed of continuous pressing machine and the pressure of main pressure rollers.4. Some problems of thickness controlling are studied, a thickness controlling model is established by using ANN on the base of analyzing the influenced factors.5. A ANN forecasting model based on new arithmetic and a FANN forecasting model combining the advantage of fuzzy logics and artificial neural networks are established.6. A preliminary study on the designing of the thickness controlling expert system in GFB product line is made, some programs and forms are developed by using vb and matlab.
Keywords/Search Tags:Gypsum fiber board, PLC, Neural net, Expert system
PDF Full Text Request
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