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首页> 外文期刊>Journal of Materials Engineering and Performance >Influence of Thick Plate Bending Process on Material Strength Distribution in Hydrogenation Reactor Shells
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Influence of Thick Plate Bending Process on Material Strength Distribution in Hydrogenation Reactor Shells

机译：厚板弯曲过程对氢化反应器壳体材料强度分布的影响

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Thick plate bending process (warm bending and tempering) has a profound impact on the material strength distribution (MSD) in hydrogenation reactor shells. To date, few studies have studied the thick plate bending process. In this work, an artificial neural network (ANN) combined with finite element analysis (FEA) was utilized to investigate the impact of thick plate bending on the MSD of reactor shells. First, tensile tests of 0-10% pre-strained 2.25Cr-1Mo-0.25 V specimens were subjected to 390 to 510 degrees C. The results obtained from this experiment were used to develop ANN with two inputs (temperature and plastic strain) to predict the strength of pre-deformed steel. Subsequently, the plastic strain distribution of reactor shells after warm bending was obtained via FEA. We then inputted the FEA results into well-established ANN to predict the MSD of un-tempered reactor shells. The MSD of an actual tempered reactor shell was measured to study the synergic effect of warm bending and tempering on MSD variation. Results showed that the average absolute relative errors between the proposed ANN and tensile test results were below 4%. The absolute relative errors of the proposed prediction method varied from 0.24 to 7.88%. The proposed method is therefore reliable in the lightweight design of the hydrogenation reactor.
机译：厚板弯曲工艺（热弯曲和回火）对氢化反应器壳中的材料强度分布（MSD）产生深远的影响。迄今为止，很少有研究过厚板弯曲过程。在这项工作中，利用了一种与有限元分析（FEA）结合有限元分析（FEA）的人工神经网络（ANN）来研究厚板弯曲对反应器壳体MSD的影响。首先，将0-10％预束缚2.25Cr-1Mo-0.25 V样品的拉伸试验进行390至510℃。从该实验中获得的结果用于开发有两个输入（温度和塑料应变）的ANN预测预变形钢的强度。随后，通过FEA获得热弯曲后反应器壳的塑性应变分布。然后我们将FEA结果输入到完善的ANN中，以预测未回火式反应器壳的MSD。测量实际钢化反应器壳的MSD，以研究温热弯曲和回火对MSD变异的协同作用。结果表明，建议的ANN和拉伸试验结果之间的平均相对误差低于4％。所提出的预测方法的绝对相对误差从0.24变化到7.88％。因此，所提出的方法在氢化反应器的轻质设计中是可靠的。

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