In situ localised post-weld heat treatment with electron beam welding of S690QL steel

IF 3.8 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Raghawendra Sisodia , Marek Weglowski , Piotr Sliwinski
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引用次数: 0

Abstract

The objective of this research is to assess the influence of in-situ localised electron beam post-weld heat treatment (LEB-PWHT) on the microstructure and mechanical properties of high-strength S690QL steel welded joints utilising highly sophisticated electron beam welding (EBW) technology. Although EBW is well-known for creating high-quality welds, the addition of the novel LEB-PWHT technique may significantly improve the characteristics of the welded joints. To systematically analyse the impacts of PWHT on the welded joints, the study employs microstructural analysis like optical microscopy and mechanical properties like microhardness testing, bending, tensile, and impact tests. Furthermore, tensile fractography analysed by scanning electron microscopy (SEM) to provide detailed insights into the fracture behaviour of the welded joints. The results show that the in-situ PWHT approach improves the microstructure and mechanical characteristics of the welded joints, such as a lower hardness peak in the heat affected zone (HAZ), increased tensile strength (5%), and improved toughness by 7 times. LEB-PWHT fractured surface revealed smaller, more sharply defined dimples and micro-voids. These results suggest that in-situ PWHT is an attractive option for improving the quality and performance of welds in a wide range of applications incorporating S690QL steel.

利用电子束焊接对 S690QL 钢进行局部焊后热处理
本研究旨在评估原位局部电子束焊后热处理(LEB-PWHT)对采用高精密电子束焊接(EBW)技术的高强度 S690QL 钢焊接接头的微观结构和机械性能的影响。尽管 EBW 以制造高质量焊缝而闻名,但加入新颖的 LEB-PWHT 技术可显著改善焊接接头的特性。为了系统分析 PWHT 对焊接接头的影响,该研究采用了光学显微镜等微观结构分析方法和显微硬度测试、弯曲、拉伸和冲击测试等机械性能分析方法。此外,还通过扫描电子显微镜(SEM)进行拉伸断裂分析,以详细了解焊接接头的断裂行为。结果表明,原位 PWHT 方法改善了焊接接头的微观结构和机械特性,如降低了热影响区(HAZ)的硬度峰值,提高了抗拉强度(5%),并将韧性提高了 7 倍。LEB-PWHT 的断裂表面显示出更小、更清晰的凹陷和微空洞。这些结果表明,在使用 S690QL 钢的各种应用中,原位 PWHT 是提高焊缝质量和性能的一种有吸引力的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.10
自引率
9.80%
发文量
58
审稿时长
44 days
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