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Application of optimization techniques and the enthalpy method to solve a 3D-inverse problem during a TIG welding process

机译:优化技术和焓方法在TIG焊接过程中解决3D逆问题的应用

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Tungsten inert Gas (TIG) welding takes place in an atmosphere of inert gas and uses a tungsten electrode. In this process heat input identification is a complex task and represents an important role in the optimization of the welding process. The technique used to estimate the heat flux is based on solution of an inverse three-dimensional transient heat conduction model with moving heat sources. The thermal fields at any region of the plate or at any instant are determined from the estimation of the heat rate delivered to the workpiece. The direct problem is solved by an implicit finite difference method. The system of linear algebraic equations is solved by Successive Over Relaxation method (SOR) and the inverse problem is solved using the Golden Section technique. The golden section technique minimizes an error square function based on the difference of theoretical and experimental temperature. The temperature measurements are obtained using thermocouples at accessible regions of the workpiece surface while the theoretical temperatures are calculated from the 3D transient thermal model.
机译:钨极惰性气体保护(TIG)焊接在惰性气体气氛中进行,并使用钨电极。在此过程中,热输入识别是一项复杂的任务,并且在优化焊接过程中起着重要作用。用于估计热通量的技术基于具有移动热源的逆三维瞬态导热模型的求解。板的任何区域或任何瞬间的热场都是根据对传递给工件的热速率的估计来确定的。直接问题通过隐式有限差分法解决。线性代数方程组用逐次松弛法(SOR)求解,反问题用黄金分割技术求解。黄金分割技术根据理论温度和实验温度的差异将误差平方函数最小化。使用工件表面可及区域的热电偶获得温度测量值,同时根据3D瞬态热模型计算理论温度。

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