Paper Title:
Performance Prediction Research of Small Diameter Cold-Rolled Reinforced Bar Based on GA
  Abstract

Performance prediction of small diameter cold-rolled reinforced bar using the genetic algorithm was proposed. A mathematical model about the relationship between the parameters, which were tensile strength of small diameter cold-rolled steel rebar product and raw materials’ tensile strength, reduction of area, speed of cold-rolling and coefficient of extension, was built. The appropriate genetic parameters were determined and the data optimization of small diameter cold-rolled steel rebar’s main technological parameters was calculated. According to the optimized parameters to predict and test its performance, the experiment results are basically similar to the predicted results, and this proves that the method is effective introduction.

  Info
Periodical
Chapter
Chapter 5: Advanced Machining and Materials Processing Technology
Edited by
Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li
Pages
986-989
DOI
10.4028/www.scientific.net/AMM.101-102.986
Citation
B. S. Xing, C. L. Du, N. N. Wang, "Performance Prediction Research of Small Diameter Cold-Rolled Reinforced Bar Based on GA", Applied Mechanics and Materials, Vols. 101-102, pp. 986-989, 2012
Online since
September 2011
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Price
$32.00
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