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Simulation-based numerical optimization of arc welding process for reduced distortion in welded structures

机译:基于仿真的弧焊工艺数值优化,可降低焊接结构的变形

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摘要

This paper presents an effective numerical approach for welding process parameter optimization to minimize weld-induced distortion in structures, A numerical optimization framework based on coupled Genetic Algorithm (GA) and Finite Element Analysis (FEA) is developed and implemented for a low and a high fidelity model. Classical weakly coupled thermo-mechanical analysis with thermo-elasto-plastic assumptions is carried out for distortion prediction of numerical models. The search for optimum process parameters is executed by direct integration of numerical models and GA-based optimization technique. The developed framework automatically inserts the process parameters into the simulation models, executes the FE-based welding simulations and evaluates the required simulation output data for iterative evolutionary optimization. The optimization results show that the proposed approach can contribute substantially to enhance final welded product quality while facilitating and accelerating the product design and development.
机译:本文提出了一种用于焊接工艺参数优化的有效数值方法,以最大程度地减少结构中的焊接引起的变形,开发了基于耦合遗传算法(GA)和有限元分析(FEA)的数值优化框架,并针对高低保真度模型。进行了经典的弱耦合热力学分析和热弹塑性假设,以预测数值模型的变形。通过数值模型和基于GA的优化技术的直接集成来执行最佳工艺参数的搜索。开发的框架会自动将过程参数插入仿真模型中,执行基于有限元分析的焊接仿真,并评估所需的仿真输出数据以进行迭代式进化优化。优化结果表明,所提出的方法在促进和加快产品设计和开发的同时,可以大大提高最终焊接产品的质量。

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