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Modeling and Optimization Design of Cotton/Polyurethane Knitted Fabric Heat Setting Process

Author: ZuoLinLin
Tutor: JinFuJiang
School: Huaqiao University
Course: Pattern Recognition and Intelligent Systems
Keywords: Dyeing and finishing Heat setting process Quality indicatorsprediction Process parameters design
CLC: TS184
Type: Master's thesis
Year: 2013
Downloads: 1
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Abstract


At present, the dyeing and finishing enterprises face two major technicalproblems:(1) It is a serious production problem that lead to high energy consumptionand a low rate of pass because the dyeing and finishing enterprises are unable toestimate and forecast the fabric quality indicators after heat setting;(2) Resulting inlow efficiency, high returning rate in production, because it is unable to design thebest heat setting process parameters quantitatively according to customer’s qualityrequirements.In view of the above problems, cotton/polyurethane fabric is taken as theresearch object in this paper for carrying on the following research:1. The article analyses the heat setting process and mechanism in depth, andpoints out finished gram weight and width as the main quality index of heat setting;main process parameters affecting quality indicators is including the looming width,temperature, speed overfeed ratio and the lower overfeed ratio etc., and set theallowed scope of each process parameter according to the actual productionrequirement.2. The article applies a variety of modeling method to establish the forecastmodel of quality indicators and the process parameters and the test results show thatthe prediction model is effective and strong generalization ability, it comes true toestimate for fabric style result in advance and improve the production efficiency, ithas certain guiding significance for the follow-up study.3. On the basis of quality index forecast model, process parameters aredesigned quantitatively through the optimization algorithm, this paper puts forwardtwo kinds of process parameters optimization design scheme, respectively based onquantum genetic algorithm and multi-objective optimization algorithm, experimentalresults show that these two kinds of optimization design methods realize thequantitative design of process parameters.4. Pointing at quantitative design of process parameters, this paper puts forwarda new method for the first time, namely the inverse system design method for solving the heat setting process parameters, this method gets the process parameters designthat can meet customer requirements by solving the equations, it is not only solve theproblem of quantitative design process parameters, but also establish themathematical relationship among the process parameters for solving the problem ofthe fuzzy relationship among process parameters.5. Based on the quality index prediction model and process parametersoptimization design, heat setting process design system is developed to implement theintelligent and visualization for heat setting process design.

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CLC: > Industrial Technology > Light industry,handicrafts > Textile industry,dyeing and finishing industry > Knitting > Knitting process
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