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Studies of Equipment and Technology of Making Alpha Hemihydrate Gypsum by Using Desulfurated Gypsum

Author: ChenGuangHui
Tutor: LinWenQiang
School: Northeastern University
Course: Mechanical Design and Theory
Keywords: Desulfurization gypsum α Hemihydrates Hydrothermal method Orthogonal test BP neural network
CLC: TQ177.3
Type: Master's thesis
Year: 2008
Downloads: 90
Quote: 0
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Abstract


This article through the use of desulfurization gypsum at home and abroad , and the preparation of the α Hemihydrates related process of independent innovation in the domestic and international cutting-edge new technology , and determined according to the method of this process , the entire process of the production line equipment , the improved conventional process equipment . But also increase the concentration of a raw material slurry , to improve the production , so that it can achieve the purpose of industrialization . And process methods such as by adding a habit , improve product performance parameters , expand the market application space . Process for the establishment of production processes , and related process equipment , the establishment of a pilot experiment experimental process of planning to determine the parameters of the experimental conditions and the use of laboratory equipment , and have been put into production , while the preparation of the experimental program , experimental feasibility analysis report . And research based on large amounts of data , to determine the goals to be achieved by the experiment . After learn from the experts have done in the past experiments derived experimental data , and analysis by orthogonal experiment , obtained the optimal parameters of the experimental data and experimental programs , comprehensive information and quadrature analysis the pressure is the most important factor , followed have enough reaction time , studies have shown that : process data parameters : reaction pressure 0.6Mpa slurry residence time of 120min , temperature of 150 ° C . Due to the arrangement of the progress of the experiment , this paper adopts BP artificial neural network , including the network structure and learning algorithm . Orthogonal test data for the sample , to establish the compressive strength Hemihydrates BP neural network model the use of Matlab7.0 software programming , and then training , forecasting . Prior to testing by the method can be preliminary results predict Therefore, the experiments conducted and production actually has a larger guiding significance . This article by to take α Hemihydrates FGD gypsum system modified , that in response to the national energy conservation policy requirements , while also addressing a byproduct of coal-fired power plants , coal - fired processing problems . Protect the environment but also bring economic benefits , and can realize the industrialization production played a certain guiding significance for the future market of new products development and utilization of new energy .

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CLC: > Industrial Technology > Chemical Industry > Silicate > Artificial stone and other cementitious materials > Gypsum and its products
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