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Effect of Heat Source Parameters in Thermal and Mechanical Analysis of Linear GTA Welding Process

机译:热源参数在线性GTA焊接过程热力学分析中的影响

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Double-ellipsoidal volumetric heat with Gaussian distribution of heat intensity is one of the most popular heat source model used in fusion welding process simulations. However, the major difficulty of this kind of heat source model is to define the parameters before start of simulation. It is common practice to define the heat source parameters from experimental measurement of weld dimensions for a particular welding condition that meet the demand of two parameters i.e. weld width and penetration. Till date, the definition of front and rear length of double ellipsoidal is to-some-extent arbitrary in linear welding. A sensitivity analysis shows that this ratio has significant effect on weld dimensions as well as thermal distortion and residual stress of final weld joint. This problem has been addressed in present work where the optimum value of the ratio of front and rear length of double ellipsoidal heat source model is designed within the kernel of an integrated optimization algorithm. The ratio is assumed as function of weld velocity and a suitable functional form is designed over a range of welding current and velocity. The proposed trend of ratio along with optimum values demonstrate fair agreement of experimentally measured weld dimensions for linear gas tungsten arc (GTA) welding process. 3D finite element model of thermal and mechanical analysis is developed and assuming elasto-plastic response of material. Temperature dependent material properties along with latent heat of melting and solidification are incorporated in numerical simulation.
机译:具有高斯分布的热强度的双椭圆体体积热是在熔焊过程模拟中最流行的热源模型之一。但是,这种热源模型的主要困难是在开始仿真之前定义参数。通常的做法是根据特定焊接条件的焊接尺寸的实验测量来定义热源参数,以满足两个参数的要求。焊缝宽度和熔深。迄今为止,在线性焊接中,双椭圆形的前后长度的定义在某种程度上是任意的。敏感性分析表明,该比率对焊缝尺寸以及最终焊缝的热变形和残余应力有显着影响。在目前的工作中已经解决了这个问题,其中在集成优化算法的内核内设计了双椭圆热源模型的前后长度之比的最佳值。该比率被假定为焊接速度的函数,并且在焊接电流和速度范围内设计了合适的功能形式。提议的比率趋势和最佳值表明,对于线性钨极电弧(GTA)焊接工艺,实验测量的焊缝尺寸基本吻合。建立了热和机械分析的3D有限元模型,并假设了材料的弹塑性响应。数值模拟结合了随温度变化的材料特性以及熔化和凝固的潜热。

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