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.

• Periodical: Applied Mechanics and Materials (Volumes 101-102)
• Pages: 986-989
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.101-102.986
• Online since: September 2011
• Authors: Bang Sheng Xing, Chang Long Du, Ning Ning Wang
• Keywords: Genetic Algorithm (GA), Neural Network (NN), Performance, Twisted Steel

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