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IMPLANT TEST MODELING FOR RISK OF COLD CRACKING ASSESSMENT DURING WELDING OPERATIONS

机译:焊接操作过程中冷裂纹评估风险的植入测试模型

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Filler material used for welding operations can lead to the occlusion of hydrogen gas in the arc atmosphere into the solidifying weld metal. This amount of hydrogen as well as the one originally present in the parent metal rapidly diffuses into the various regions of the weldment due to the high temperature depending also on the microstructure evolution and trapping, effects. As the welded component cools down, depending on the metal's microstructure in the heat-affected zone, the concentration of hydrogen in weld and the level of residual stresses, the risk of hydrogen assisted cold cracking in ferritic steel can arise. One of the most effective precautions against weld hydrogen cracking is to use of preheating and post-heating in order to reduce the hydrogen content, by diffusion in the structure and degassing, when residual stresses reach higher values at the end of cooling. The implant test is a stress controlled test applied on small specimen during welding to assess the susceptibility to heat affected zone hydrogen cracking. It may be used to define preheating temperature and postheating duration in order to prevent nuclear component assemblies from cold cracking risk. This paper will first present how to couple hydrogen diffusion, thermo-metallurgical and mechanical modeling in order to simulate the implant test. Finally, a Weibull type probabilistic criterion based on numerical approaches will be proposed to improve the implant test predictive capability in the case of multi-pass welding processes involving dissimilar materials.
机译:用于焊接操作的填充材料可能导致电弧气氛中的氢气滞留到凝固的焊接金属中。由于高温,这种氢以及最初存在于母体金属中的氢也会迅速扩散到焊件的各个区域,这也取决于微观结构的演化和捕集作用。随着焊接部件的冷却,取决于热影响区中金属的微观组织,焊缝中氢的浓度和残余应力的大小,可能会出现氢辅助铁素体钢产生冷裂纹的风险。防止焊缝氢裂纹的最有效预防措施之一是使用预热和后热,以通过冷却过程中残余应力达到较高值时,通过结构中的扩散和脱气来减少氢含量。植入物测试是在焊接过程中对小样品进行的应力控制测试,以评估对热影响区氢裂纹的敏感性。它可以用于定义预热温度和后热持续时间,以防止核组件组件出现冷裂风险。本文将首先介绍如何耦合氢扩散,热冶金和机械建模以模拟注入测试。最后,将提出一种基于数值方法的Weibull型概率准则,以在涉及不同材料的多道次焊接过程中提高植入物测试的预测能力。

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