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首页> 外文期刊>Journal of Mechanical Design >Optimization of the Closure-Weld Region of Cylindrical Containers for Long-Term Corrosion Resistance Using the Successive Heuristic Quadratic Approximation Technique
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Optimization of the Closure-Weld Region of Cylindrical Containers for Long-Term Corrosion Resistance Using the Successive Heuristic Quadratic Approximation Technique

机译:逐步启发式二次逼近技术优化圆柱容器的长期耐腐蚀焊接区域

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Welded cylindrical containers are susceptible to stress corrosion cracking (SCC) in the closure-weld area. An induction coil heating technique may be used to relieve the residual stresses in the closure-weld. This technique involves localized heating of the material by the surrounding coils. The material is then cooled to room temperature by quenching. A two-dimensional axisymmetric finite element model is developed to study the effects of induction coil heating and subsequent quenching. The finite element results are validated through an experimental test. The container design is tuned to maximize the compressive stress from the outer surface to a depth that is equal to the long-term general corrosion rate of the container material multiplied by the desired container lifetime. The problem is subject to several geometrical and stress constraints. Two different solution methods are implemented for this purpose. First, an off-the-shelf optimization software is used. The results however were unsatisfactory because of the highly nonlinear nature of the problem. The paper proposes a novel alternative: the Successive Heuristic Quadratic Approximation (SHQA) technique. This algorithm combines successive quadratic approximation with an adaptive random search within varying search space. SHQA promises to be a suitable search method for computationally intensive, highly nonlinear problems.
机译:焊接的圆柱形容器在封闭焊接区容易受到应力腐蚀开裂(SCC)的影响。感应线圈加热技术可用于减轻封闭焊缝中的残余应力。该技术涉及通过周围的线圈对材料进行局部加热。然后通过淬火将材料冷却至室温。建立了二维轴对称有限元模型,以研究感应线圈加热和随后的淬火效果。有限元结果通过实验测试得到验证。调整容器的设计以使从外表面到其深度的压缩应力最大化,该深度等于容器材料的长期一般腐蚀速率乘以所需的容器寿命。该问题受到几个几何和应力约束。为此,实现了两种不同的解决方法。首先,使用现成的优化软件。但是,由于问题的高度非线性性质,结果令人不满意。本文提出了一种新颖的替代方法:逐次启发式二次逼近(SHQA)技术。该算法在变化的搜索空间内将连续二次逼近与自适应随机搜索结合在一起。 SHQA有望成为计算密集型,高度非线性问题的合适搜索方法。

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