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Statistical Analysis of the Effects of Mn and Cr Contents on Mechanical Properties of Deformed Steel Bar

机译:Mn和Cr内容对变形钢筋机械性能的统计分析

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摘要

China's steel industry is trapped both at home and abroad nowadays. Steel companies need to improve their competitiveness in terms of cost control and product effectiveness. Based on this background, the effect of chemical elements on the mechanical properties of steel bars is studied in this paper. First, we use the correlation analysis theory to obtain the Pearson correlation coefficient, and analyze the main factors and secondary factors that affect the properties of deformed steel bar. Next, we adopt the stepwise regression method to model the influence rule between deformed steel bar properties and chemical elements. According to the law of influence obtained above and neural network simulation curve, we prejudge the properties of the deformed steel bar after adding Cr powder. Finally, the optimal formula of yield strength, tensile strength and percentage elongation after fracture is obtained. The optimization scheme can reduce the consumption of alloy material, reduce the cost and improve the competitiveness of the enterprise.
机译:现在,中国的钢铁行业现在被困在国内外。钢铁公司需要在成本控制和产品效果方面提高竞争力。基于该背景,本文研究了化学元素对钢筋机械性能的影响。首先,我们使用相关分析理论来获得Pearson相关系数,并分析影响变形钢棒性能的主要因素和次要因素。接下来,我们采用逐步回归方法来模拟变形钢筋性能和化学元素之间的影响规律。根据上面获得的影响规律和神经网络仿真曲线,在添加Cr粉末后,我们预先判断变形钢筋的性质。最后,获得了屈服强度,拉伸强度和断裂后伸长率伸长率的最佳配方。优化方案可降低合金材料的消耗,降低成本,提高企业的竞争力。

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