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Research on Intelligent Prediction for Mechanical Performance of Cold Rolled Ribbed Steel Bars and Optimization of Technological Parameters

Author: XingBangSheng
Tutor: DuChangLong
School: China University of Mining and Technology
Course: Mechanical Design and Theory
Keywords: Cold rolled ribbed steel bars mechanical performance intelligentprediction technology optimization neural network genetic algorithm
CLC: TG335.64
Type: PhD thesis
Year: 2013
Downloads: 35
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Abstract


Cold rolled ribbed steel bars have been increasingly applied in the constructionfield, because of their excellent comprehensive mechanical performance andanchoring bond performance and bring about obvious social and economic benefits.With the further development of the application level and application domain of theproducts, higher requirements on the mechanical performance and the technologicallevel are put forward, which needs precision prediction of the product performanceand optimization of the processing technology.Aiming at the instability of mechanical performance and low pass rate in coldrolled ribbed steel bars production, the intelligent prediction method for the product’smechanical performance and the optimization model of cold rolling process areresearched, so as to provide a fast, accurate and economical new approach for coldrolling process planning and product quality control.Aiming at the complexity of the physical relations between cold rolled ribbedsteel bars’ mechanical performance and cold rolling technological parameters, and thedifficulty of establishing the explicit equations between the two, the meaning ofdividing the variable space for economical prediction of the product performance isresearched in this thesis. The methods of dividing the space according to the initialstrength of the raw materials and the distance between the vectors of the processparameters are proposed, laying the foundation for predicting the product performanceintelligently and accurately with small number of training samples.The prediction models based on linear direct mapping, linear and nonlinearregression analysis are established, and the product performance are predicted withthe models in the subspaces and the total space of the samples. Test results show thatdecrease on the dimension of the technical variable vectors is of positive significanceto the prediction precision for the linear direct mapping model and the linearprogramming analysis one, and that a sufficient number of precision sample data is sofor the nonlinear programming analysis model.The prediction models based on BP neural network are established, and theinfluence of the hidden neurons number and the network error on the productperformance prediction is researched. And then, the product performances arepredicted in the subspaces and the total space of the samples. Test results show thatproper structure of the network, appropriate number of the hidden neurons and right value of the network error are of significance to the training efficiency and theprediction precision for BP network model.The prediction models based on radial-basis function network are established,and the influence of the spread coefficient and the network error on the predictionprecision is researched. And then, the product performances are predicted in thesubspaces and the total space of the samples. Test results show that RBF network withproper spread coefficient and network error is superior to the other prediction modelsresearched in the thesis; and that dividing the sample space according to the distancebetween the vectors of the process parameters is of positive significance for RBFnetwork.Aiming at the high cost and low efficiency of the experimentation method forcold rolling process planning, the multi-objective optimization model of theprocessing technics of cold rolled ribbed steel bars is established, and the method ofoptimizing the processing technics with genetic algorithm and RBF network isproposed. It has been shown that the method can quickly determine the propertechnological parameters meeting the property requirement of the product, whichprovides an economical and effective way to make and optimize the processingtechnology.

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CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal pressure processing > Rolling > Rolling process > Roundwood,bar and wire rod rolling > Rebar rolling
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