Abstract

Microstructural characterisation of engineering materials is required for understanding the relationships between microstructure and mechanical properties. Conventionally grain size is measured from grain boundary maps obtained using optical or electron microscopy. This paper implements EBSD-based linear intercept measurement of spatial grain size variation for ferritic steel weld metals, making analysis flexible and robust. While grain size has been shown to correlate with the strength of the material according to the Hall–Petch relationship, similar grain sizes in weld metals with different phase volume fractions can have significantly different mechanical properties. Furthermore, the solidification of the weld pool induces the formation of grain sub-structures that can alter mechanical properties. The recently developed domain misorientation approach is used in this study to provide a more comprehensive characterisation of the grain sub-structures for ferritic steel weld metals. The studied weld metals consist of varying mixtures of primary ferrite, acicular ferrite, and bainite/martensite, with large differences observed in hardness, grain size, grain morphology, and dislocation cell size. For the studied weld metals, the average dislocation cell size varied between 0.68 and 1.41 µm, with bainitic/martensitic weld metals showing the smallest sub-structures and primary ferrite the largest. In contrast, the volume-weighted average grain size was largest for the bainitic/martensitic weld metal. Results indicate that a Hall–Petch-type relationship exists between hardness and average dislocation cell size and that it partially corrects the significantly different grain size—hardness relationship observed for ferritic and bainitic/martensitic weld metals. The methods and datasets are provided as open access.

Highlights

  • IntroductionEnvironmental change and global sustainability are posing new challenges for engineers in the transportation industry to develop the generation of products

  • The mechanical properties of metallic materials have been shown to correlate with the microstructural dimensions, most commonly with the average grain size according to the Hall–Petch relationship [6, 7]:

  • Some deviations are observed for the average grain sizes, arising from the fact that the grain boundaries were thicker in the image-based analysis

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Summary

Introduction

Environmental change and global sustainability are posing new challenges for engineers in the transportation industry to develop the generation of products. Sustainability in the maritime sector requires the effective use of high-strength steels in the large welded structures. The mechanical properties of metallic materials have been shown to correlate with the microstructural dimensions, most commonly with the average grain size according to the Hall–Petch relationship [6, 7]: = 0 + kd−1∕2, (1). Welding in the World (2022) 66:363–377 where 0 is the lattice friction stress required to move individual dislocations, k is a material-dependent constant known as the Hall–Petch slope, and d is the average grain size [8]. In addition to the average grain size, other material-specific factors such as differences in phase volume fractions and grain size distribution need to be considered for ferritic steel weld metals in order to predict material properties in a general case

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