Controlling mould-level fluctuations and friction in hypo-peritectic steel continuous casting through mould powder optimization: plant trials and thermodynamic simulation

The caster machine under consideration smoothly casts steel slabs of low-carbon steel grades (C < 0.08). Difficulties like abnormal mould-level fluctuations (MLF) and high friction coefficient were faced while casting hypo-peritectic steel grades (0.08 < C < 0.15). The initial action taken to mitigate the problem included a reduction in casting speed, which failed to eliminate the problem completely. Mould powder, being at the centre of the casting process, was looked into for a more robust and permanent solution. Subsequently, a number of plant trials were taken with different mould powders, selected strategically, to identify the most suitable one for stabilizing hypo-peritectic casting from this caster. Finally, the best powder for the prevailing conditions at the caster shop was identified to be the one with the lowest basicity (1.1) among the tried powders, contrary to the common assumption that only high-basicity (>1.2) powders are suitable for hypo-peritectic casting. Furthermore, why high-basicity powders failed, while the lowest basicity powder succeeded, was explained through thermodynamic simulation using FactSage 6.2. Apart from this, superheat was also optimized. 20–25°C superheat was found to be ideal for stable casting. Therefore, hypo-peritectic casting was stabilized from this caster with the new powder and optimized superheat.

Authors

Institutions

Publication Details

Journal
Canadian Metallurgical Quarterly
Published
2026-08-17
DOI
https://doi.org/10.1080/00084433.2026.2713968
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Controlling mould-level fluctuations and friction in hypo-peritectic steel continuous casting through mould powder optimization: plant trials and thermodynamic simulation

Smita Toppo, Anjana Deva, Somnath Kumar, Santosh Kumar et al.
Canadian Metallurgical Quarterly
Metallurgical Processes and Thermodynamics
article

Controlling mould-level fluctuations and friction in hypo-peritectic steel continuous casting through mould powder optimization: plant trials and thermodynamic simulation

Smita Toppo, Anjana Deva, Somnath Kumar, Santosh Kumar, Rajeev Kumar Singh, Snehangshu Roy, Kumar Abhishek, Manoj Kaushik
article en

Abstract

The caster machine under consideration smoothly casts steel slabs of low-carbon steel grades (C < 0.08). Difficulties like abnormal mould-level fluctuations (MLF) and high friction coefficient were faced while casting hypo-peritectic steel grades (0.08 < C < 0.15). The initial action taken to mitigate the problem included a reduction in casting speed, which failed to eliminate the problem completely. Mould powder, being at the centre of the casting process, was looked into for a more robust and permanent solution. Subsequently, a number of plant trials were taken with different mould powders, selected strategically, to identify the most suitable one for stabilizing hypo-peritectic casting from this caster. Finally, the best powder for the prevailing conditions at the caster shop was identified to be the one with the lowest basicity (1.1) among the tried powders, contrary to the common assumption that only high-basicity (>1.2) powders are suitable for hypo-peritectic casting. Furthermore, why high-basicity powders failed, while the lowest basicity powder succeeded, was explained through thermodynamic simulation using FactSage 6.2. Apart from this, superheat was also optimized. 20–25°C superheat was found to be ideal for stable casting. Therefore, hypo-peritectic casting was stabilized from this caster with the new powder and optimized superheat.

Canadian Metallurgical Quarterly
Steel Authority of India Limited
Openalex Percentile: Top 18%
Metallurgical Processes and Thermodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Controlling mould-level fluctuations and friction in hypo-peritectic steel continuous casting through mould powder optimization: plant trials and thermodynamic simulation — Smita Toppo, Anjana Deva, et al. · Canadian Metallurgical Quarterly (2026) | TGRS Research Map | TGRS