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Pär Jönsson

Researcher at Royal Institute of Technology

Publications -  459
Citations -  6228

Pär Jönsson is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Ladle & Slag. The author has an hindex of 30, co-authored 439 publications receiving 4662 citations. Previous affiliations of Pär Jönsson include University of British Columbia.

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On the Role of Non-metallic Inclusions in the Nucleation of Acicular Ferrite in Steels

TL;DR: In this article, the effects of non-metallic inclusions in nucleating acicular ferrite in steels during cooling from a weld or cooling from an austenitic temperature are reviewed.
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The effect of different non-metallic inclusions on the machinability of steels

TL;DR: The mechanisms of steel fractures during different mechanical machining operations and the behavior of various non-metallic inclusions in a cutting zone are reviewed and the effects of composition, size, number and morphology of inclusions on machinability factors are discussed and summarized.
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Thermodynamics and Kinetics of the Modification of Al2O3 Inclusions

TL;DR: In this paper, the use of thermodynamic data in describing calcium modification of aluminium oxide inclusions has been summarised and reviewed, using ThermoCalc, the activities of CaO and Al2O3 have been calculated and compared to the published data.
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Application of the Sulphide Capacity Concept on High-basicity Ladle Slags Used in Bearing-Steel Production

TL;DR: In this article, a rigorous evaluation of the usefulness of existing models for prediction of sulphide capacity and sulphur distribution for industrial slags at Ovako Steel AB has been carried out.
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Modeling of Fluid Flow Conditions around the Slag/Metal Interface in a Gas-stirred Ladle

Lage Jonsson, +1 more
- 15 Sep 1996 - 
TL;DR: In this paper, a three-phase model of a gas-stirred steel bath covered with a slag layer has been developed, and the predicted steel surface velocities have been shown to be in at least five times greater agreement with the predicted velo-graphs.