Reducing Residual Stresses in Synthetic Cast Iron by Ti Microalloying

During solidification and cooling of the castings, residual stresses are produced in the material. In technical practice, residual stresses are very important because, in addition to the operational loading, they can lead to material failure and, consequently, to equipment or structural failures. The accurate determination of residual stresses by numerical simulations presents a significant challenge due to the number of variables involved in modelling technological processes. Consequently, in many cases, residual stress levels are typically obtained using experimental measurements. Where possible, these measurements are complemented by monitoring and evaluating parameter changes that occur due to changes in the input conditions. In this paper, findings from experimental measurements of residual stresses in castings made from synthetic cast iron are reported, with a specific focus on the effect of titanium (Ti) microalloying on these residual stress levels. Comparison of the experimental results obtained from castings composed of grey cast iron shows that microalloying with titanium metal effectively reduces the residual stresses while maintaining the same tensile strength and Brinell hardness (HB). This highlights the potential benefits of microalloying in enhancing the benefits and reliability of cast iron materials.

Authors

Institutions

Publication Details

Journal
Metals
Published
2025-05-05
DOI
https://doi.org/10.3390/met15050520
Citations
2
Primary Topic
Metal Alloys Wear and Properties
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reducing Residual Stresses in Synthetic Cast Iron by Ti Microalloying

Janette Brezinová, Miroslav Pástor, Alena Pribulová, Peter Futáš
2 citations
Metals
Metal Alloys Wear and Properties
1.04
article

Reducing Residual Stresses in Synthetic Cast Iron by Ti Microalloying

Janette Brezinová, Miroslav Pástor, Alena Pribulová, Peter Futáš
article en
2 citations

Abstract

During solidification and cooling of the castings, residual stresses are produced in the material. In technical practice, residual stresses are very important because, in addition to the operational loading, they can lead to material failure and, consequently, to equipment or structural failures. The accurate determination of residual stresses by numerical simulations presents a significant challenge due to the number of variables involved in modelling technological processes. Consequently, in many cases, residual stress levels are typically obtained using experimental measurements. Where possible, these measurements are complemented by monitoring and evaluating parameter changes that occur due to changes in the input conditions. In this paper, findings from experimental measurements of residual stresses in castings made from synthetic cast iron are reported, with a specific focus on the effect of titanium (Ti) microalloying on these residual stress levels. Comparison of the experimental results obtained from castings composed of grey cast iron shows that microalloying with titanium metal effectively reduces the residual stresses while maintaining the same tensile strength and Brinell hardness (HB). This highlights the potential benefits of microalloying in enhancing the benefits and reliability of cast iron materials.

MetalsVol. 15(5)
Technical University of Košice (SK)
Agentúra na Podporu Výskumu a Vývoja, Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR, Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Openalex Percentile: Top 26%
Metal Alloys Wear and Properties
1.04
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.