Novel insight into graphite morphology evolution in large-section ductile iron bearing seats and the influence on mechanical properties with the guidance of phase diagram calculation and Finite Element Method

This study investigates the formation mechanism of graphite distortion in large-section ductile iron bearing seats and its impact on mechanical properties. Combining CALPHAD thermodynamic calculations with Finite Element Method (FEM) simulations, the graphite morphology evolution and its effects on mechanical performance are analyzed. CALPHAD results show that increasing Mg content from 0.03 wt% to 0.06 wt% expands the (FCC + Graphite + Liquid) phase temperature range from 7.25 °C to 15.14 °C, indicating Mg's role in inhibiting flake graphite formation. Experimental data reveal that flake graphite cast iron exhibits tensile strength and elongation of 351.7 MPa and 6.1 %, respectively, compared to 455.3 MPa and 22.3 % for spheroidal graphite cast iron. FEM simulations using Abaqus under a loading speed of 3 mm/min indicate that when the tensile direction is parallel to flake graphite, the material has a tensile strength of 408.2 MPa and an elongation of 21.1 %. Conversely, cracks initiate and propagate through flake graphite regions when the tensile direction is perpendicular, leading to brittle fracture behavior. These findings provide theoretical support for optimizing ductile iron production processes and enhancing casting quality.

Authors

Institutions

Publication Details

Journal
Journal of Materials Research and Technology
Published
2025-03-25
DOI
https://doi.org/10.1016/j.jmrt.2025.03.181
Citations
2
Primary Topic
Metal Forming Simulation Techniques
Type
article
Field-Weighted Citation Impact
1.43

Funders

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

Novel insight into graphite morphology evolution in large-section ductile iron bearing seats and the influence on mechanical properties with the guidance of phase diagram calculation and Finite Element Method

Bowen Dong, Bokai Suo, Zhenpeng Wu, Huayi Zheng et al.
2 citations
Journal of Materials Research and Technology
Metal Forming Simulation Techniques
1.43
article

Novel insight into graphite morphology evolution in large-section ductile iron bearing seats and the influence on mechanical properties with the guidance of phase diagram calculation and Finite Element Method

Bowen Dong, Bokai Suo, Zhenpeng Wu, Huayi Zheng, Lingyu Li, Weilong Zhao, Chao Zhu, Jinchuan Jie, Tingju Li, Chengrong Mao
article en
2 citations

Abstract

This study investigates the formation mechanism of graphite distortion in large-section ductile iron bearing seats and its impact on mechanical properties. Combining CALPHAD thermodynamic calculations with Finite Element Method (FEM) simulations, the graphite morphology evolution and its effects on mechanical performance are analyzed. CALPHAD results show that increasing Mg content from 0.03 wt% to 0.06 wt% expands the (FCC + Graphite + Liquid) phase temperature range from 7.25 °C to 15.14 °C, indicating Mg's role in inhibiting flake graphite formation. Experimental data reveal that flake graphite cast iron exhibits tensile strength and elongation of 351.7 MPa and 6.1 %, respectively, compared to 455.3 MPa and 22.3 % for spheroidal graphite cast iron. FEM simulations using Abaqus under a loading speed of 3 mm/min indicate that when the tensile direction is parallel to flake graphite, the material has a tensile strength of 408.2 MPa and an elongation of 21.1 %. Conversely, cracks initiate and propagate through flake graphite regions when the tensile direction is perpendicular, leading to brittle fracture behavior. These findings provide theoretical support for optimizing ductile iron production processes and enhancing casting quality.

Journal of Materials Research and TechnologyVol. 36
Dalian University of Technology (CN), Taiyuan Heavy Industry (China) (CN), Hubei Polytechnic University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Openalex Percentile: Top 22%
Metal Forming Simulation Techniques
1.43
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.