@ARTICLE{Çolak_M._Investigation_2022,
 author={Çolak, M. and Uslu, E. and Teke, Ç. and Şafak, F. and Erol, Ö. and Erol, Y. and Çoban, Y. and Yavuz, M.},
 volume={vol. 22},
 number={No 4},
 journal={Archives of Foundry Engineering},
 pages={24-33},
 howpublished={online},
 year={2022},
 publisher={The Katowice Branch of the Polish Academy of Sciences},
 abstract={Material suppliers typically recommend different additive amounts and applications for foundry practices. Therefore, even in the production of the same standard materials, different results may be obtained from various production processes on different foundry floors. In this study, the liquid metal prepared with the addition of different proportions of a FeSi-based inoculation, which is most commonly used in foundries in the production of a cast iron material with EN-GJL-250 lamellar graphite cast iron, was cast into sand molds prepared with a model designed to provide different solidification times. In this way, the optimization of the inoculation amounts on the casting structure for different solidification times was investigated. In addition, hardness values were determined depending on solidification time in varying amounts of inoculation additions. SolidCast casting simulation software was used to determine the casting model geometry and solidification time. In the scope of the study, sand casting, modeling, microstructure analysis, image analysis, microstructure analysis, and hardness tests techniques were used. When the results are examined, the required amount of inoculation for the optimal structure is optimized for the application procedure depending on the casting module and the solidification time.},
 type={Article},
 title={Investigation of the Effect of Solidification Time and Addition Amount of Inoculation on Microstructure and Hardness in Lamellar Graphite Cast Iron},
 URL={http://journals.pan.pl/Content/125160/PDF/AFE%204_2022_04_final.pdf},
 doi={10.24425/afe.2022.140248},
 keywords={Lamellar graphite cast iron, Inoculation, Solidification time, Modeling},
}