The Use of the LSHR Sampler to Determine Total Oxygen Contents in the Ladle and Tundish for Different Steel Grades

Hansén, Thorbjörn; Runnsjö, Gunilla; Sundqvist, Olle; Jönsson, Pär G.

doi:10.1002/srin.200606429

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“…The samples can be collected from either the cast semis or the liquid steel. Previous work 26,[31][32][33] has indicated the use of liquid steel samples to study inclusions. Specifically, Ruby-Meyer et al 31 explained that fast cooling smaller samples similar to regular production samples (lollypop samples) are most effective to study inclusions for cleanliness control.…”

Section: Selection Of Sampler and Sampling Locationmentioning

confidence: 99%

“…As most integrated steel plants are equipped with automatic sampling poles, their use minimises the chances of variability of the location and depth of sample collection in a steel reactor such as tundish or ladle including variability due to operator assisted sampling. Moreover, Hansen et al 32 pointed out that the moisture and slag protection covers of samplers can contaminate the steel sample contributing to erroneous results. Therefore, the quality of available samplers and the choice of sampling location were assessed for TiSULC and LCAK grades.…”

Section: Selection Of Sampler and Sampling Locationmentioning

confidence: 99%

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Inclusion characterisation – tool for measurement of steel cleanliness and process control: Part 1

Kaushik

Pielet

Yin

2009

Ironmaking & Steelmaking

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Owing to increasing demand for high surface and internal quality finished steel products, it is imperative to study the factors that limit the production of such steels. In particular, non-metallic inclusions affect steel cleanliness and cause defects leading to worsening of desired mechanical properties and service life of steel products. Other detrimental effects of inclusions are poor steel castability often resulting in slab downgrades and rejections, increased costs associated with recycling of liquid steel and refractories, and even shut down of the caster. Inclusion engineering is thus important to achieve process and quality control on a daily production basis. This article, in two parts, addresses inclusion characterisation as a tool for understanding and improving process conditions, minimising nozzle clogging and reducing sliver rejections in Ti stabilised ultra low carbon steels, Ca treated low carbon Al killed steels and advanced high strength steels. The paper begins with a survey of techniques followed by examples of use of techniques to resolve steelmaking and casting issues that affect quality of steel. Part I explains the use of an automated scanning electron microscope to correlate inclusion data with industrial process conditions. Examples include effect of different samplers, influence of ferroalloy quality and temperature control practices, ratio of elemental chemistries, ladle stirring etc. on quality of steel.

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