Evaluation of Permeability Models for Foundry Molds and Cores in Sand Casting Processes

D. Sundaram, T. Matsushita, I. Belov, A. Diószegi
{"title":"Evaluation of Permeability Models for Foundry Molds and Cores in Sand Casting Processes","authors":"D. Sundaram, T. Matsushita, I. Belov, A. Diószegi","doi":"10.24425/afe.2024.149256","DOIUrl":null,"url":null,"abstract":"Predicting the permeability of different regions of foundry cores and molds with complex geometries will help control the regional outgassing, enabling better defect prediction in castings. In this work, foundry cores prepared with different bulk properties were characterized using X-ray microtomography, and the obtained images were analyzed to study all relevant grain and pore parameters, including but not limited to the specific surface area, specific internal volume, and tortuosity. The obtained microstructural parameters were incorporated into prevalent models used to predict the fluid flow through porous media, and their accuracy is compared with respect to experimentally measured permeability. The original Kozeny model was identified as the most suitable model to predict the permeability of sand molds. Although the model predicts permeability well, the input parameters are laborious to measure. Hence, a methodology for replacing the pore diameter and tortuosity with simple process parameters is proposed. This modified version of the original Kozeny model helps predict permeability of foundry molds and cores at different regions resulting in better defect prediction and eventual scrap reduction.","PeriodicalId":505283,"journal":{"name":"Archives of Foundry Engineering","volume":"16 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Foundry Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24425/afe.2024.149256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Predicting the permeability of different regions of foundry cores and molds with complex geometries will help control the regional outgassing, enabling better defect prediction in castings. In this work, foundry cores prepared with different bulk properties were characterized using X-ray microtomography, and the obtained images were analyzed to study all relevant grain and pore parameters, including but not limited to the specific surface area, specific internal volume, and tortuosity. The obtained microstructural parameters were incorporated into prevalent models used to predict the fluid flow through porous media, and their accuracy is compared with respect to experimentally measured permeability. The original Kozeny model was identified as the most suitable model to predict the permeability of sand molds. Although the model predicts permeability well, the input parameters are laborious to measure. Hence, a methodology for replacing the pore diameter and tortuosity with simple process parameters is proposed. This modified version of the original Kozeny model helps predict permeability of foundry molds and cores at different regions resulting in better defect prediction and eventual scrap reduction.
评估砂型铸造工艺中铸造模具和型芯的渗透性模型
预测具有复杂几何形状的铸造型芯和铸模不同区域的渗透性有助于控制区域放气,从而更好地预测铸件缺陷。在这项工作中,使用 X 射线显微层析技术对制备的具有不同体积特性的铸造型芯进行了表征,并对获得的图像进行了分析,以研究所有相关的晶粒和孔隙参数,包括但不限于比表面积、比内部体积和迂回度。获得的微观结构参数被纳入用于预测流体流经多孔介质的预估模型,并将其准确性与实验测量的渗透率进行比较。最初的 Kozeny 模型被认为是最适合预测砂模渗透性的模型。虽然该模型能很好地预测渗透率,但输入参数的测量却很费力。因此,提出了一种用简单工艺参数替代孔隙直径和迂回度的方法。这种原始 Kozeny 模型的改进版有助于预测铸造模具和型芯在不同区域的渗透性,从而更好地预测缺陷并最终减少废品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信